(3주차)데이터 분석을 위한 중급 R 프로그래밍 CAMP 3기

## 데이터 분석의 기본이 되는 데이터전처리
#### Step1. 데이터 전처리를 위한 기초 학습하기
### <https://mrchypark.github.io/dabrp_classnote3/class3>

#### [[pdf다운로드](https://github.com/mrchypark/dabrp_classnote3/raw/master/Materials/class3.pdf)] [[문의하기](http://pf.kakao.com/_RXANd)] [[피드백하기](https://github.com/mrchypark/dabrp_classnote3/issues/new)]
### 박찬엽

### 2017년 9월 28일
---

## 목차

0. 과제 질답

1. 수업의 목표

2. 데이터를 다루는 주요 7가지 동작
    - 데이터 소개 : nycflights13
    - dplyr을 활용한 주요 7가지 동작

3. tidy data, long form과 wide form
    - 함수를 연결하는 파이프 연산자
    - tidyr로 데이터를 tidy하게 만들기

4. 데이터 소스에 연결하기
    - 데이터 소스 소개와 연결 패키지 dbplyr, dtplyr
    - 데이터 소스와 함께 사용하는 dplyr 함수

5. 과제

---

## 과제 질답

---

## 수업의 목표

### 1. 데이터를 다루는 주요 7가지 동작을 설명할 수 있다.

### 2. tidy data, long form과 wide form의 장단점을 설명할 수 있다.

### 3. 데이터 베이스의 테이블을 R 객체에 연결하여 데이터를 다룰 수 있다.

---

## 데이터를 다루는 주요 7가지 동작

---

![](https://raw.githubusercontent.com/mrchypark/dabrp_classnote3/master/docs/img/dplyr.png)

---

## 실습 데이터 소개

[nycflights13](https://cran.r-project.org/web/packages/nycflights13/nycflights13.pdf)는 2013년 미국의 비행기 운항기록에 관련된 airlines, airports, flights, planes, weather의 5개 데이터를 가지고 있는 데이터 패키지

```r
if (!requireNamespace("nycflights13")) install.packages("nycflights13")
```

```
## package 'nycflights13' successfully unpacked and MD5 sums checked
## 
## The downloaded binary packages are in
## 	C:\Users\mrchypark\AppData\Local\Temp\RtmpGkwJOm\downloaded_packages
```

```r
library(nycflights13)
nycflights13::flights
```

```
## # A tibble: 336,776 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 336,766 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

## [nycflights13 코드북](https://cran.r-project.org/web/packages/nycflights13/nycflights13.pdf)

```r
str(flights)
```

```
## Classes 'tbl_df', 'tbl' and 'data.frame':	336776 obs. of  19 variables:
##  $ year          : int  2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 ...
##  $ month         : int  1 1 1 1 1 1 1 1 1 1 ...
##  $ day           : int  1 1 1 1 1 1 1 1 1 1 ...
##  $ dep_time      : int  517 533 542 544 554 554 555 557 557 558 ...
##  $ sched_dep_time: int  515 529 540 545 600 558 600 600 600 600 ...
##  $ dep_delay     : num  2 4 2 -1 -6 -4 -5 -3 -3 -2 ...
##  $ arr_time      : int  830 850 923 1004 812 740 913 709 838 753 ...
##  $ sched_arr_time: int  819 830 850 1022 837 728 854 723 846 745 ...
##  $ arr_delay     : num  11 20 33 -18 -25 12 19 -14 -8 8 ...
##  $ carrier       : chr  "UA" "UA" "AA" "B6" ...
##  $ flight        : int  1545 1714 1141 725 461 1696 507 5708 79 301 ...
##  $ tailnum       : chr  "N14228" "N24211" "N619AA" "N804JB" ...
##  $ origin        : chr  "EWR" "LGA" "JFK" "JFK" ...
##  $ dest          : chr  "IAH" "IAH" "MIA" "BQN" ...
##  $ air_time      : num  227 227 160 183 116 150 158 53 140 138 ...
##  $ distance      : num  1400 1416 1089 1576 762 ...
##  $ hour          : num  5 5 5 5 6 5 6 6 6 6 ...
##  $ minute        : num  15 29 40 45 0 58 0 0 0 0 ...
##  $ time_hour     : POSIXct, format: "2013-01-01 05:00:00" "2013-01-01 05:00:00" ...
```

---

[![](https://github.com/tidyverse/dplyr/raw/master/man/figures/logo.png)][3]

---

## 데이터를 다루는 주요 7가지 동작

1. 열 방향: 선택 - select()
1. 열 방향: 계산 - mutate()
1. 행 방향: 조건 - filter()
1. 행 방향: 추가 - bind_rows()
1. 행 방향: 정렬 - arrange()
1. 그룹 계산 - group_by() + summarise()
1. 열 결합 - left_join()
]
.pull-right[
![](https://raw.githubusercontent.com/mrchypark/dabrp_classnote3/master/docs/img/dplyr.png) 
]

---

## dplyr 준비

```r
if (!requireNamespace("dplyr")) install.packages("dplyr")
```

```
## Loading required namespace: dplyr
```

```r
library(dplyr)
```

```
## 
## Attaching package: 'dplyr'
```

```
## The following objects are masked from 'package:stats':
## 
##     filter, lag
```

```
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
```

---

### 열 방향: 선택 - select()

데이터에서 컬럼을 선택하여 사용함. select()는 선언된 순서대로 컬럼을 정렬함
.pull-left[
```{}
select(flights, year, month, day)
```
]
.pull-right[

```
## # A tibble: 336,776 x 3
##     year month   day
##    <int> <int> <int>
##  1  2013     1     1
##  2  2013     1     1
##  3  2013     1     1
##  4  2013     1     1
##  5  2013     1     1
##  6  2013     1     1
##  7  2013     1     1
##  8  2013     1     1
##  9  2013     1     1
## 10  2013     1     1
## # ... with 336,766 more rows
```
]
---

### 열 방향: 선택 - select()

숫자에서만 제공하던 from:to 문법을 컬럼 순서를 기준으로 지원
.pull-left[
```{}
select(flights, year:day)
```
]
.pull-right[

### 열 방향: 선택 - select()

-(마이너스)는 지정한 컬럼을 제외하고 전부라는 의미

```r
select(flights, -(year:day))
```

```
## # A tibble: 336,776 x 16
##    dep_time sched_dep_time dep_delay arr_time sched_arr_time arr_delay
##       <int>          <int>     <dbl>    <int>          <int>     <dbl>
##  1      517            515         2      830            819        11
##  2      533            529         4      850            830        20
##  3      542            540         2      923            850        33
##  4      544            545        -1     1004           1022       -18
##  5      554            600        -6      812            837       -25
##  6      554            558        -4      740            728        12
##  7      555            600        -5      913            854        19
##  8      557            600        -3      709            723       -14
##  9      557            600        -3      838            846        -8
## 10      558            600        -2      753            745         8
## # ... with 336,766 more rows, and 10 more variables: carrier <chr>,
## #   flight <int>, tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>,
## #   distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>
```

---

### 열 방향: 선택 - select()

everything() 같은 helper 함수를 제공 everything()은 select()내에 선언된 컬럼을 제외한 나머지 전부라는 의미.

```r
select(flights, time_hour, air_time, everything())
```

```
## # A tibble: 336,776 x 19
##              time_hour air_time  year month   day dep_time sched_dep_time
##                 <dttm>    <dbl> <int> <int> <int>    <int>          <int>
##  1 2013-01-01 05:00:00      227  2013     1     1      517            515
##  2 2013-01-01 05:00:00      227  2013     1     1      533            529
##  3 2013-01-01 05:00:00      160  2013     1     1      542            540
##  4 2013-01-01 05:00:00      183  2013     1     1      544            545
##  5 2013-01-01 06:00:00      116  2013     1     1      554            600
##  6 2013-01-01 05:00:00      150  2013     1     1      554            558
##  7 2013-01-01 06:00:00      158  2013     1     1      555            600
##  8 2013-01-01 06:00:00       53  2013     1     1      557            600
##  9 2013-01-01 06:00:00      140  2013     1     1      557            600
## 10 2013-01-01 06:00:00      138  2013     1     1      558            600
## # ... with 336,766 more rows, and 12 more variables: dep_delay <dbl>,
## #   arr_time <int>, sched_arr_time <int>, arr_delay <dbl>, carrier <chr>,
## #   flight <int>, tailnum <chr>, origin <chr>, dest <chr>, distance <dbl>,
## #   hour <dbl>, minute <dbl>
```

---

### 열 방향: 선택 - select()

ends_with()같이 글자의 일부에 해당하는 컬럼 전부를 가져오는 helper 함수도 있음. 정규표현식의 주요 기능을 함수로 제공. ?select로 확인

```r
select(flights, year:day, ends_with("delay"), distance, air_time)
```

```
## # A tibble: 336,776 x 7
##     year month   day dep_delay arr_delay distance air_time
##    <int> <int> <int>     <dbl>     <dbl>    <dbl>    <dbl>
##  1  2013     1     1         2        11     1400      227
##  2  2013     1     1         4        20     1416      227
##  3  2013     1     1         2        33     1089      160
##  4  2013     1     1        -1       -18     1576      183
##  5  2013     1     1        -6       -25      762      116
##  6  2013     1     1        -4        12      719      150
##  7  2013     1     1        -5        19     1065      158
##  8  2013     1     1        -3       -14      229       53
##  9  2013     1     1        -3        -8      944      140
## 10  2013     1     1        -2         8      733      138
## # ... with 336,766 more rows
```

---

### 열 방향: 계산 - mutate()

출력 편의를 위해 일부 데이터만 사용

```r
flights_sml <- select(flights, year:day, ends_with("delay"), distance, air_time)
flights_sml
```

---

### 열 방향: 계산 - mutate()

각 컬럼간의 계산으로 새로운 열을 만들 수 있음

```r
mutate(flights_sml,
       gain = arr_delay - dep_delay,
       speed = distance / air_time * 60
)
```

```
## # A tibble: 336,776 x 9
##     year month   day dep_delay arr_delay distance air_time  gain    speed
##    <int> <int> <int>     <dbl>     <dbl>    <dbl>    <dbl> <dbl>    <dbl>
##  1  2013     1     1         2        11     1400      227     9 370.0441
##  2  2013     1     1         4        20     1416      227    16 374.2731
##  3  2013     1     1         2        33     1089      160    31 408.3750
##  4  2013     1     1        -1       -18     1576      183   -17 516.7213
##  5  2013     1     1        -6       -25      762      116   -19 394.1379
##  6  2013     1     1        -4        12      719      150    16 287.6000
##  7  2013     1     1        -5        19     1065      158    24 404.4304
##  8  2013     1     1        -3       -14      229       53   -11 259.2453
##  9  2013     1     1        -3        -8      944      140    -5 404.5714
## 10  2013     1     1        -2         8      733      138    10 318.6957
## # ... with 336,766 more rows
```

---

### 열 방향: 계산 - mutate()

컬럼을 지우거나 기존의 컬럼을 변경하는 것도 가능

```r
mutate(flights_sml,
       arr_delay = NULL,
       air_time = air_time / 60
)
```

```
## # A tibble: 336,776 x 6
##     year month   day dep_delay distance  air_time
##    <int> <int> <int>     <dbl>    <dbl>     <dbl>
##  1  2013     1     1         2     1400 3.7833333
##  2  2013     1     1         4     1416 3.7833333
##  3  2013     1     1         2     1089 2.6666667
##  4  2013     1     1        -1     1576 3.0500000
##  5  2013     1     1        -6      762 1.9333333
##  6  2013     1     1        -4      719 2.5000000
##  7  2013     1     1        -5     1065 2.6333333
##  8  2013     1     1        -3      229 0.8833333
##  9  2013     1     1        -3      944 2.3333333
## 10  2013     1     1        -2      733 2.3000000
## # ... with 336,766 more rows
```

---

### 열 방향: 계산 - mutate()

transmute()는 계산한 컬럼만 있는 테이블을 생성

```r
transmute(flights,
          gain = arr_delay - dep_delay,
          hours = air_time / 60,
          gain_per_hour = gain / hours
)
```

```
## # A tibble: 336,776 x 3
##     gain     hours gain_per_hour
##    <dbl>     <dbl>         <dbl>
##  1     9 3.7833333      2.378855
##  2    16 3.7833333      4.229075
##  3    31 2.6666667     11.625000
##  4   -17 3.0500000     -5.573770
##  5   -19 1.9333333     -9.827586
##  6    16 2.5000000      6.400000
##  7    24 2.6333333      9.113924
##  8   -11 0.8833333    -12.452830
##  9    -5 2.3333333     -2.142857
## 10    10 2.3000000      4.347826
## # ... with 336,766 more rows
```

---

### 열 방향: 계산 - mutate()

group_by()와 함께 [window function](http://dplyr.tidyverse.org/articles/window-functions.html) 들이 유용하게 사용됨

```r
flights_smlg <- group_by(flights_sml, month)
mutate(flights_smlg, rank = row_number(desc(arr_delay)))
```

```
## # A tibble: 336,776 x 8
## # Groups:   month [12]
##     year month   day dep_delay arr_delay distance air_time  rank
##    <int> <int> <int>     <dbl>     <dbl>    <dbl>    <dbl> <int>
##  1  2013     1     1         2        11     1400      227  6970
##  2  2013     1     1         4        20     1416      227  5064
##  3  2013     1     1         2        33     1089      160  3458
##  4  2013     1     1        -1       -18     1576      183 21131
##  5  2013     1     1        -6       -25      762      116 23925
##  6  2013     1     1        -4        12      719      150  6699
##  7  2013     1     1        -5        19     1065      158  5226
##  8  2013     1     1        -3       -14      229       53 19019
##  9  2013     1     1        -3        -8      944      140 15534
## 10  2013     1     1        -2         8      733      138  7912
## # ... with 336,766 more rows
```

---

### 행 방향: 조건 - filter()

filter()는 데이터 중에 조건에 해당하는 일부 데이터만 필터해서 사용. 논리 연산자와 결합하여 많이 사용하며 [이곳](https://mrchypark.github.io/r/operator/%EB%85%BC%EB%A6%AC-%EC%97%B0%EC%82%B0%EC%9E%90-%EC%A0%95%EB%A6%AC.html)에서 추가적으로 내용을 확인할 수 있음

```r
filter(flights, month == 1)
```

```
## # A tibble: 27,004 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 26,994 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 조건 - filter()

& 는 **and** 라는 뜻이며 조건을 추가할 때 사용

```r
filter(flights, month == 1 & day == 1)
```

```
## # A tibble: 842 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 832 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 조건 - filter()

| 는 **or** 라는 뜻

```r
filter(flights, month == 11 | month == 12)
```

```
## # A tibble: 55,403 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013    11     1        5           2359         6      352
##  2  2013    11     1       35           2250       105      123
##  3  2013    11     1      455            500        -5      641
##  4  2013    11     1      539            545        -6      856
##  5  2013    11     1      542            545        -3      831
##  6  2013    11     1      549            600       -11      912
##  7  2013    11     1      550            600       -10      705
##  8  2013    11     1      554            600        -6      659
##  9  2013    11     1      554            600        -6      826
## 10  2013    11     1      554            600        -6      749
## # ... with 55,393 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 조건 - filter()

**%in%**는 유용하게 사용하는 논리 연산자로 왼쪽에 있는 벡터가 오른쪽 벡터의 데이터 중 어느 하나라도 맞으면 출력

```r
filter(flights, month %in% c(11, 12))
```

---

### 행 방향: 조건 - filter()

! 는 local 데이터에서 결과를 반대로 뒤집는 역할을 하며 수학에서의 괄호와 같이 연산의 범위를 작성해 두는 것이 문제 발생 소지가 적어점

```r
filter(flights, !(arr_delay > 120 | dep_delay > 120))
```

```
## # A tibble: 316,050 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 316,040 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 추가 - bind_rows()

bind_rows()를 진행하기 위해서 데이터를 작성

```r
feb<-filter(flights, month==2)
dec<-filter(flights, month==12)
dim(feb); dim(dec)
```

```
## [1] 24951    19
```

```
## [1] 28135    19
```

```r
nrow(feb)+nrow(dec)
```

```
## [1] 53086
```

---

### 행 방향: 추가 - bind_rows()

bind_rows()는 컬럼 이름을 기준으로 같은 컬럼 밑에 데이터를 붙여서 **묶어줌**.

```r
bind_rows(feb, dec)
```

```
## # A tibble: 53,086 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     2     1      456            500        -4      652
##  2  2013     2     1      520            525        -5      816
##  3  2013     2     1      527            530        -3      837
##  4  2013     2     1      532            540        -8     1007
##  5  2013     2     1      540            540         0      859
##  6  2013     2     1      552            600        -8      714
##  7  2013     2     1      552            600        -8      919
##  8  2013     2     1      552            600        -8      655
##  9  2013     2     1      553            600        -7      833
## 10  2013     2     1      553            600        -7      821
## # ... with 53,076 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 추가 - bind_rows()

list()로 구분된 데이터도 **묶어줌**.

```r
bind_rows(list(feb, dec))
```

---

### 행 방향: 추가 - bind_rows()

split()은 첫번째 인자로 받은 데이터를 컬럼을 기준으로 list()로 분리해 줌.

```r
flights_mon<-split(flights, flights$month)
summary(flights_mon)
```

```
##    Length Class  Mode
## 1  19     tbl_df list
## 2  19     tbl_df list
## 3  19     tbl_df list
## 4  19     tbl_df list
## 5  19     tbl_df list
## 6  19     tbl_df list
## 7  19     tbl_df list
## 8  19     tbl_df list
## 9  19     tbl_df list
## 10 19     tbl_df list
## 11 19     tbl_df list
## 12 19     tbl_df list
```

---

### 행 방향: 추가 - bind_rows()

split()으로 분리된 12개의 list() 자료도 잘 합쳐줌

```r
nrow(flights)
```

```
## [1] 336776
```

```r
bind_rows(flights_mon)
```

---

### 행 방향: 추가 - bind_rows()

다른 종류의 데이터도 **묶어줌**. c()는 vector를 생성하고, data_frame은 data.frame을 생성함

```r
bind_rows(
  c(a = 1, b = 2),
  data_frame(a = 3:4, b = 5:6),
  c(a = 7, b = 8)
)
```

```
## # A tibble: 4 x 2
##       a     b
##   <dbl> <dbl>
## 1     1     2
## 2     3     5
## 3     4     6
## 4     7     8
```

---

### 행 방향: 추가 - bind_rows()

데이터를 묶을 때 데이터를 구분하는 컬럼을 추가할 수 있음

```r
bind_rows(list(feb, dec), .id = "id")
```

```
## # A tibble: 53,086 x 20
##       id  year month   day dep_time sched_dep_time dep_delay arr_time
##    <chr> <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1     1  2013     2     1      456            500        -4      652
##  2     1  2013     2     1      520            525        -5      816
##  3     1  2013     2     1      527            530        -3      837
##  4     1  2013     2     1      532            540        -8     1007
##  5     1  2013     2     1      540            540         0      859
##  6     1  2013     2     1      552            600        -8      714
##  7     1  2013     2     1      552            600        -8      919
##  8     1  2013     2     1      552            600        -8      655
##  9     1  2013     2     1      553            600        -7      833
## 10     1  2013     2     1      553            600        -7      821
## # ... with 53,076 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 추가 - bind_rows()

데이터를 구분하는 컬럼에 대해 이름이 동작하는 방식

```r
bind_rows(list(a = feb, b = dec), .id = "data")
```

```
## # A tibble: 53,086 x 20
##     data  year month   day dep_time sched_dep_time dep_delay arr_time
##    <chr> <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1     a  2013     2     1      456            500        -4      652
##  2     a  2013     2     1      520            525        -5      816
##  3     a  2013     2     1      527            530        -3      837
##  4     a  2013     2     1      532            540        -8     1007
##  5     a  2013     2     1      540            540         0      859
##  6     a  2013     2     1      552            600        -8      714
##  7     a  2013     2     1      552            600        -8      919
##  8     a  2013     2     1      552            600        -8      655
##  9     a  2013     2     1      553            600        -7      833
## 10     a  2013     2     1      553            600        -7      821
## # ... with 53,076 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 추가 - bind_rows()

같은 이름의 컬럼이 없을 때는 NA로 채우면서 동작함

```r
bind_rows(data.frame(x = 1:3), data.frame(y = 1:4))
```

```
##    x  y
## 1  1 NA
## 2  2 NA
## 3  3 NA
## 4 NA  1
## 5 NA  2
## 6 NA  3
## 7 NA  4
```

---

### 행 방향: 정렬 - arrange()

arrange()는 지정되는 컬럼 순으로 오름차순 정렬해주는 함수

```r
arrange(flights, dep_delay)
```

```
## # A tibble: 336,776 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013    12     7     2040           2123       -43       40
##  2  2013     2     3     2022           2055       -33     2240
##  3  2013    11    10     1408           1440       -32     1549
##  4  2013     1    11     1900           1930       -30     2233
##  5  2013     1    29     1703           1730       -27     1947
##  6  2013     8     9      729            755       -26     1002
##  7  2013    10    23     1907           1932       -25     2143
##  8  2013     3    30     2030           2055       -25     2213
##  9  2013     3     2     1431           1455       -24     1601
## 10  2013     5     5      934            958       -24     1225
## # ... with 336,766 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 행 방향: 정렬 - arrange()

desc()는 내림차순 정렬로 방향을 바꾸는 helper 함수

```r
arrange(flights, desc(month), dep_delay)
```

```
## # A tibble: 336,776 x 19
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013    12     7     2040           2123       -43       40
##  2  2013    12    25     2036           2059       -23     2313
##  3  2013    12     4     1910           1930       -20     2101
##  4  2013    12    11      710            730       -20     1039
##  5  2013    12    10     1841           1900       -19     2028
##  6  2013    12    14      921            940       -19     1256
##  7  2013    12     6      811            829       -18     1119
##  8  2013    12    30      657            715       -18      927
##  9  2013    12     7     1658           1715       -17     1956
## 10  2013    12     7     2043           2100       -17     2250
## # ... with 336,766 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

### 그룹 계산 - group_by() + summarise()

summarise()는 여러 데이터를 요약하여 특성을 파악하는 방식으로 동작하는 함수들을 적용할 때 사용.

```r
summarise(flights, mean = mean(dep_delay, na.rm=T), n = n())
```

```
## # A tibble: 1 x 2
##       mean      n
##      <dbl>  <int>
## 1 12.63907 336776
```

---

### 그룹 계산 - group_by() + summarise()

group_by()는 데이터에 **지정한 컬럼별**이라는 추가 조건을 지정하는 기능을 수행

```r
flights_g<-group_by(flights, month)
flights_g
```

```
## # A tibble: 336,776 x 19
## # Groups:   month [12]
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 336,766 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

```r
summarise(flights_g, mean = mean(dep_delay, na.rm=T), n = n())
```

```
## # A tibble: 12 x 3
##    month      mean     n
##    <int>     <dbl> <int>
##  1     1 10.036665 27004
##  2     2 10.816843 24951
##  3     3 13.227076 28834
##  4     4 13.938038 28330
##  5     5 12.986859 28796
##  6     6 20.846332 28243
##  7     7 21.727787 29425
##  8     8 12.611040 29327
##  9     9  6.722476 27574
## 10    10  6.243988 28889
## 11    11  5.435362 27268
## 12    12 16.576688 28135
```

---

### 그룹 계산 - group_by() + summarise()

group_by()에 의해 **지정한 컬럼별** summarise()연산을 수행함

```r
summarise(flights_g, mean = mean(dep_delay, na.rm=T), n = n())
```

### 열 결합(Join) - left_join()

select()를 사용하여 데이터 준비

```r
flights2 <- select(flights, year:day, hour, origin, dest, tailnum, carrier)
flights2
```

```
## # A tibble: 336,776 x 8
##     year month   day  hour origin  dest tailnum carrier
##    <int> <int> <int> <dbl>  <chr> <chr>   <chr>   <chr>
##  1  2013     1     1     5    EWR   IAH  N14228      UA
##  2  2013     1     1     5    LGA   IAH  N24211      UA
##  3  2013     1     1     5    JFK   MIA  N619AA      AA
##  4  2013     1     1     5    JFK   BQN  N804JB      B6
##  5  2013     1     1     6    LGA   ATL  N668DN      DL
##  6  2013     1     1     5    EWR   ORD  N39463      UA
##  7  2013     1     1     6    EWR   FLL  N516JB      B6
##  8  2013     1     1     6    LGA   IAD  N829AS      EV
##  9  2013     1     1     6    JFK   MCO  N593JB      B6
## 10  2013     1     1     6    LGA   ORD  N3ALAA      AA
## # ... with 336,766 more rows
```
---

### 열 결합(Join) - left_join()

left_join()은 왼쪽 데이터를 기준으로 하고, by로 지정된 컬럼이 같은 데이터임을 식별하는 key로 지정하여 오른쪽 데이터를 왼쪽 데이터에 결합하는 함수

```r
left_join(flights2, airlines, by = "carrier")
```

```
## # A tibble: 336,776 x 9
##     year month   day  hour origin  dest tailnum carrier
##    <int> <int> <int> <dbl>  <chr> <chr>   <chr>   <chr>
##  1  2013     1     1     5    EWR   IAH  N14228      UA
##  2  2013     1     1     5    LGA   IAH  N24211      UA
##  3  2013     1     1     5    JFK   MIA  N619AA      AA
##  4  2013     1     1     5    JFK   BQN  N804JB      B6
##  5  2013     1     1     6    LGA   ATL  N668DN      DL
##  6  2013     1     1     5    EWR   ORD  N39463      UA
##  7  2013     1     1     6    EWR   FLL  N516JB      B6
##  8  2013     1     1     6    LGA   IAD  N829AS      EV
##  9  2013     1     1     6    JFK   MCO  N593JB      B6
## 10  2013     1     1     6    LGA   ORD  N3ALAA      AA
## # ... with 336,766 more rows, and 1 more variables: name <chr>
```
---

### 열 결합(Join) - left_join()

mutate(), match()등의 함수로 구현하려면 아래와 같음

```r
mutate(flights2, name = airlines$name[match(carrier, airlines$carrier)])
```

### 열 결합(Join) - left_join()

key 역할을 할 컬럼을 지정하지 않으면 양쪽 데이터에서 컬럼 이름이 같은 모든 컬럼을 key로 자동 지정

```r
left_join(flights2, weather)
```

```
## Joining, by = c("year", "month", "day", "hour", "origin")
```

```
## # A tibble: 336,776 x 18
##     year month   day  hour origin  dest tailnum carrier  temp  dewp humid
##    <dbl> <dbl> <int> <dbl>  <chr> <chr>   <chr>   <chr> <dbl> <dbl> <dbl>
##  1  2013     1     1     5    EWR   IAH  N14228      UA    NA    NA    NA
##  2  2013     1     1     5    LGA   IAH  N24211      UA    NA    NA    NA
##  3  2013     1     1     5    JFK   MIA  N619AA      AA    NA    NA    NA
##  4  2013     1     1     5    JFK   BQN  N804JB      B6    NA    NA    NA
##  5  2013     1     1     6    LGA   ATL  N668DN      DL 39.92 26.06 57.33
##  6  2013     1     1     5    EWR   ORD  N39463      UA    NA    NA    NA
##  7  2013     1     1     6    EWR   FLL  N516JB      B6 39.02 26.06 59.37
##  8  2013     1     1     6    LGA   IAD  N829AS      EV 39.92 26.06 57.33
##  9  2013     1     1     6    JFK   MCO  N593JB      B6 39.02 26.06 59.37
## 10  2013     1     1     6    LGA   ORD  N3ALAA      AA 39.92 26.06 57.33
## # ... with 336,766 more rows, and 7 more variables: wind_dir <dbl>,
## #   wind_speed <dbl>, wind_gust <dbl>, precip <dbl>, pressure <dbl>,
## #   visib <dbl>, time_hour <dttm>
```
---

### 열 결합(Join) - left_join()

여러 컬럼이 key로써 가능할 때 명시적인 지정이 있으면 작성된 컬럼만 key로 동작

```r
left_join(flights2, planes, by = "tailnum")
```

```
## # A tibble: 336,776 x 16
##    year.x month   day  hour origin  dest tailnum carrier year.y
##     <int> <int> <int> <dbl>  <chr> <chr>   <chr>   <chr>  <int>
##  1   2013     1     1     5    EWR   IAH  N14228      UA   1999
##  2   2013     1     1     5    LGA   IAH  N24211      UA   1998
##  3   2013     1     1     5    JFK   MIA  N619AA      AA   1990
##  4   2013     1     1     5    JFK   BQN  N804JB      B6   2012
##  5   2013     1     1     6    LGA   ATL  N668DN      DL   1991
##  6   2013     1     1     5    EWR   ORD  N39463      UA   2012
##  7   2013     1     1     6    EWR   FLL  N516JB      B6   2000
##  8   2013     1     1     6    LGA   IAD  N829AS      EV   1998
##  9   2013     1     1     6    JFK   MCO  N593JB      B6   2004
## 10   2013     1     1     6    LGA   ORD  N3ALAA      AA     NA
## # ... with 336,766 more rows, and 7 more variables: type <chr>,
## #   manufacturer <chr>, model <chr>, engines <int>, seats <int>,
## #   speed <int>, engine <chr>
```
---

### 열 결합(Join) - left_join()

여러 컬럼이 key로 동작했을 때 데이터가 잘못 되는 예

```r
left_join(flights2, planes)
```

```
## Joining, by = c("year", "tailnum")
```

```
## # A tibble: 336,776 x 15
##     year month   day  hour origin  dest tailnum carrier  type manufacturer
##    <int> <int> <int> <dbl>  <chr> <chr>   <chr>   <chr> <chr>        <chr>
##  1  2013     1     1     5    EWR   IAH  N14228      UA  <NA>         <NA>
##  2  2013     1     1     5    LGA   IAH  N24211      UA  <NA>         <NA>
##  3  2013     1     1     5    JFK   MIA  N619AA      AA  <NA>         <NA>
##  4  2013     1     1     5    JFK   BQN  N804JB      B6  <NA>         <NA>
##  5  2013     1     1     6    LGA   ATL  N668DN      DL  <NA>         <NA>
##  6  2013     1     1     5    EWR   ORD  N39463      UA  <NA>         <NA>
##  7  2013     1     1     6    EWR   FLL  N516JB      B6  <NA>         <NA>
##  8  2013     1     1     6    LGA   IAD  N829AS      EV  <NA>         <NA>
##  9  2013     1     1     6    JFK   MCO  N593JB      B6  <NA>         <NA>
## 10  2013     1     1     6    LGA   ORD  N3ALAA      AA  <NA>         <NA>
## # ... with 336,766 more rows, and 5 more variables: model <chr>,
## #   engines <int>, seats <int>, speed <int>, engine <chr>
```
---

### 열 결합(Join) - left_join()

컬럼 이름이 다를 때는 아래와 같은 문법을 사용

```r
left_join(flights2, airports, c("dest" = "faa"))
```

```
## # A tibble: 336,776 x 15
##     year month   day  hour origin  dest tailnum carrier
##    <int> <int> <int> <dbl>  <chr> <chr>   <chr>   <chr>
##  1  2013     1     1     5    EWR   IAH  N14228      UA
##  2  2013     1     1     5    LGA   IAH  N24211      UA
##  3  2013     1     1     5    JFK   MIA  N619AA      AA
##  4  2013     1     1     5    JFK   BQN  N804JB      B6
##  5  2013     1     1     6    LGA   ATL  N668DN      DL
##  6  2013     1     1     5    EWR   ORD  N39463      UA
##  7  2013     1     1     6    EWR   FLL  N516JB      B6
##  8  2013     1     1     6    LGA   IAD  N829AS      EV
##  9  2013     1     1     6    JFK   MCO  N593JB      B6
## 10  2013     1     1     6    LGA   ORD  N3ALAA      AA
## # ... with 336,766 more rows, and 7 more variables: name <chr>, lat <dbl>,
## #   lon <dbl>, alt <int>, tz <dbl>, dst <chr>, tzone <chr>
```
---

### 열 결합(Join) - left_join()

rename()을 이용해 맞추는 방법도 가능

```r
left_join(flights2, rename(airports, dest=faa), by="dest")
```

---

## tidy data, long form과 wide form

---

# tidy data + universe

[![](https://github.com/tidyverse/tidyverse/raw/master/man/figures/logo.png)][1]

---

## [tidyverse][1] 패키지는

.pull-left[
1. RStudio가 개발, 관리하는 패키지    
1. 공식 문서가 매우 잘 되어 있음    
1. 사용자층이 두터워 영어로 검색하면 많은 질답을 찾을 수 있음    
1. 커뮤니티 설명글도 매우 많음    
1. 6개의 핵심 패키지 포함 23가지 패키지로 이루어진 메타 패키지    
1. tidy data 라는 사상과 파이프 연산자로 대동단결    
1. 사상에 영감을 받아 맞춰서 제작하는 개인 패키지가 많음(ex> [tidyquant](https://github.com/business-science/tidyquant), [tidytext](https://github.com/juliasilge/tidytext) 등)
]
.pull-right[

```r
if (!requireNamespace("tidyverse")){
  install.packages("tidyverse")}
```

```
## Loading required namespace: tidyverse
```

```r
library(tidyverse)
```

```
## Loading tidyverse: ggplot2
## Loading tidyverse: tibble
## Loading tidyverse: tidyr
## Loading tidyverse: readr
## Loading tidyverse: purrr
```

```
## Conflicts with tidy packages ----------------------------------------------
```

```
## filter(): dplyr, stats
## lag():    dplyr, stats
```
]
---

## tidy data 란

1. [Hadley Wickham](https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html)  2. [고감자님의 블로그](http://freesearch.pe.kr/archives/3942)  3. [헬로우데이터과학](http://www.hellodatascience.com/?p=287)

1.1 Each variable forms a column.    
1.2 각 변수는 개별의 열(column)으로 존재한다.    
1.3 각 열에는 개별 속성이 들어간다.

2.1 Each observation forms a row.    
2.2 각 관측치는 행(row)를 구성한다.    
2.3 각 행에는 개별 관찰 항목이 들어간다.

3.1 Each type of observational unit forms a table.    
3.2 각 테이블은 단 하나의 관측기준에 의해서 조직된 데이터를 저장한다.    
3.3 각 테이블에는 단일 유형의 데이터가 들어간다.

## tidy data 란

![](http://garrettgman.github.io/images/tidy-1.png)

.footnote[
  \* 출처 : [Garrett Grolemund의 Data Science with R 블로그](http://garrettgman.github.io/tidying/)
]

---

## long form vs wide form

1. 컴퓨터가 계산하기 좋은 모양
1. tidy data의 요건을 충족
1. tidyverse의 패키지 대부분의 입력 형태
]
.pull-right[
### wide form

1. 사람이 눈으로 보기 좋은 모양
1. 2개 변수에 대한 값만 확인 가능
1. dashboard 형이라고도 하며 조인 등 연산이 어려움
]

---

## 함수를 연결하는 파이프 연산자(%>%)

![](https://raw.githubusercontent.com/mrchypark/dabrp_classnote3/master/docs/img/pipes.png)

---

## 파이프 연산자(%>%)

함수를 중첩해서 사용할 일이 점점 빈번해 짐

```{}
plot(diff(log(sample(rnorm(10000,mean=10,sd=1),size=100,replace=FALSE))),col="red",type="l")
```

### %>%를 사용하면

1. 생각의 순서대로 함수를 작성할 수 있음
1. 중간 변수 저장을 할 필요가 없음
1. 순서가 읽이 용이하여 기억하기 좋음
]
.pull-right[
```{}
rnorm(10000,mean=10,sd=1) %>%
  sample(size=100,replace=FALSE) %>%
  log %>%
  diff %>%
  plot(col="red",type="l")
```
]
---

## 파이프 연산자(%>%)

flights 데이터에 파이프 연산자 사용예 1

```r
flights %>%
  group_by(year,month,day) %>%
  summarise(delay=mean(dep_delay, na.rm = TRUE))
```

```
## # A tibble: 365 x 4
## # Groups:   year, month [?]
##     year month   day     delay
##    <int> <int> <int>     <dbl>
##  1  2013     1     1 11.548926
##  2  2013     1     2 13.858824
##  3  2013     1     3 10.987832
##  4  2013     1     4  8.951595
##  5  2013     1     5  5.732218
##  6  2013     1     6  7.148014
##  7  2013     1     7  5.417204
##  8  2013     1     8  2.553073
##  9  2013     1     9  2.276477
## 10  2013     1    10  2.844995
## # ... with 355 more rows
```
---

## 파이프 연산자(%>%)

group_by()는 filter()와도 함께 사용할 수 있음

```r
popular_dests <- flights %>% 
  group_by(dest) %>% 
  filter(n() > 365)
popular_dests
```

```
## # A tibble: 332,577 x 19
## # Groups:   dest [77]
##     year month   day dep_time sched_dep_time dep_delay arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>
##  1  2013     1     1      517            515         2      830
##  2  2013     1     1      533            529         4      850
##  3  2013     1     1      542            540         2      923
##  4  2013     1     1      544            545        -1     1004
##  5  2013     1     1      554            600        -6      812
##  6  2013     1     1      554            558        -4      740
##  7  2013     1     1      555            600        -5      913
##  8  2013     1     1      557            600        -3      709
##  9  2013     1     1      557            600        -3      838
## 10  2013     1     1      558            600        -2      753
## # ... with 332,567 more rows, and 12 more variables: sched_arr_time <int>,
## #   arr_delay <dbl>, carrier <chr>, flight <int>, tailnum <chr>,
## #   origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>, hour <dbl>,
## #   minute <dbl>, time_hour <dttm>
```

---

## 파이프 연산자(%>%)

사용할 데이터부터 순서대로 함수를 작성할 수 있는 장점

```r
popular_dests %>% 
  filter(arr_delay > 0) %>% 
  mutate(prop_delay = arr_delay / sum(arr_delay)) %>% 
  select(year:day, dest, arr_delay, prop_delay)
```

```
## # A tibble: 131,106 x 6
## # Groups:   dest [77]
##     year month   day  dest arr_delay   prop_delay
##    <int> <int> <int> <chr>     <dbl>        <dbl>
##  1  2013     1     1   IAH        11 1.106740e-04
##  2  2013     1     1   IAH        20 2.012255e-04
##  3  2013     1     1   MIA        33 2.350026e-04
##  4  2013     1     1   ORD        12 4.239594e-05
##  5  2013     1     1   FLL        19 9.377853e-05
##  6  2013     1     1   ORD         8 2.826396e-05
##  7  2013     1     1   LAX         7 3.444441e-05
##  8  2013     1     1   DFW        31 2.817951e-04
##  9  2013     1     1   ATL        12 3.996017e-05
## 10  2013     1     1   DTW        16 1.157257e-04
## # ... with 131,096 more rows
```

---

[![](https://github.com/tidyverse/tidyr/raw/master/man/figures/logo.png)][4]

---

## tidyr이 데이터를 tidy하게 만드는 4개 함수

[tidyr][4]은 데이터를 tidy하게 만드는 4개 함수를 제공하고 추가적인 helper 함수를 함께 제공

1. gather()   : wide form 데이터를 long form 으로 변환
1. spread()   : long form 데이터를 wide form 으로 변환
1. separate() : 하나의 컬럼을 두 개로 나눔
1. unite()    : 두 개의 컬럼을 하나로 합침

---

## tidyr 준비

tidyr, dplyr은 tidyverse에 포함된 패키지이기 때문에 tidyverse를 설치하고 불러왔다면 생략가능

```r
if (!requireNamespace("tidyr")) install.packages("tidyr")
library(tidyr)
```

---

### 데이터 소개

tidyr 패키지는 패키지의 동작을 설명하기 위해 내장 데이터를 준비하고 있음

```r
table1
```

```
## # A tibble: 6 x 4
##       country  year  cases population
##         <chr> <int>  <int>      <int>
## 1 Afghanistan  1999    745   19987071
## 2 Afghanistan  2000   2666   20595360
## 3      Brazil  1999  37737  172006362
## 4      Brazil  2000  80488  174504898
## 5       China  1999 212258 1272915272
## 6       China  2000 213766 1280428583
```
---

### 데이터 소개

long form 예시

```r
table2
```

```
## # A tibble: 12 x 4
##        country  year       type      count
##          <chr> <int>      <chr>      <int>
##  1 Afghanistan  1999      cases        745
##  2 Afghanistan  1999 population   19987071
##  3 Afghanistan  2000      cases       2666
##  4 Afghanistan  2000 population   20595360
##  5      Brazil  1999      cases      37737
##  6      Brazil  1999 population  172006362
##  7      Brazil  2000      cases      80488
##  8      Brazil  2000 population  174504898
##  9       China  1999      cases     212258
## 10       China  1999 population 1272915272
## 11       China  2000      cases     213766
## 12       China  2000 population 1280428583
```
---

### 데이터 소개

한 컬럼에 두 개의 의미를 지닌 데이터가 들어 있는 경우

```r
table3
```

```
## # A tibble: 6 x 3
##       country  year              rate
## *       <chr> <int>             <chr>
## 1 Afghanistan  1999      745/19987071
## 2 Afghanistan  2000     2666/20595360
## 3      Brazil  1999   37737/172006362
## 4      Brazil  2000   80488/174504898
## 5       China  1999 212258/1272915272
## 6       China  2000 213766/1280428583
```
---

### 데이터 소개

wide form 예시 1

```r
table4a
```

```
## # A tibble: 3 x 3
##       country `1999` `2000`
## *       <chr>  <int>  <int>
## 1 Afghanistan    745   2666
## 2      Brazil  37737  80488
## 3       China 212258 213766
```
---

### 데이터 소개

wide form 예시 2

```r
table4b
```

```
## # A tibble: 3 x 3
##       country     `1999`     `2000`
## *       <chr>      <int>      <int>
## 1 Afghanistan   19987071   20595360
## 2      Brazil  172006362  174504898
## 3       China 1272915272 1280428583
```
---

### wide to long - gather()

gather()는 wide form의 데이터를 long form으로 바꾸는 역할을 수행. gather(data, key = "컬럼 이름이 데이터로 들어갈 그 컬럼의 이름", value = "매트릭스로 펼쳐져 있는 데이터가 모이는 컬럼의 이름", "데이터로 들어갈 컬럼들을 지정")의 형태로 작성. "데이터로 들어갈 컬럼들을 지정"은 위치에 자유로움.

값에 해당하는 데이터의 이동이 중요함. 메트릭스 모양이 한 줄의 컬럼으로 변경되는 것을 확인

```r
table4a
```

```
## # A tibble: 3 x 3
##       country `1999` `2000`
## *       <chr>  <int>  <int>
## 1 Afghanistan    745   2666
## 2      Brazil  37737  80488
## 3       China 212258 213766
```
]
.pull-right[

```r
table4a %>% 
  gather(`1999`, `2000`
         , key = "year"
         , value = "cases")
```

```
## # A tibble: 6 x 3
##       country  year  cases
##         <chr> <chr>  <int>
## 1 Afghanistan  1999    745
## 2      Brazil  1999  37737
## 3       China  1999 212258
## 4 Afghanistan  2000   2666
## 5      Brazil  2000  80488
## 6       China  2000 213766
```
]

---

### gather()의 동작

값에 해당하는 데이터는 matrix -> column, 지정한 컬럼들은 key의 데이터로 변경

![](http://garrettgman.github.io/images/tidy-9.png)

---

### long to wide - spread()

spread()는 하나의 컬럼으로 되어 있는 데이터를 메트릭스의 형태로 **흩뿌리는** 동작을 수행. spread(data, key = "컬럼에 위치할 데이터가 있는 컬럼", value = "메트릭스 모양이로 펼쳐질 데이터가 있는 컬럼") 으로 작성

```r
table2
```

```r
table2 %>% 
  spread(key = type, value = count)
```

```
## # A tibble: 6 x 4
##       country  year  cases population
## *       <chr> <int>  <int>      <int>
## 1 Afghanistan  1999    745   19987071
## 2 Afghanistan  2000   2666   20595360
## 3      Brazil  1999  37737  172006362
## 4      Brazil  2000  80488  174504898
## 5       China  1999 212258 1272915272
## 6       China  2000 213766 1280428583
```
]

---

### spread()의 동작

![](http://garrettgman.github.io/images/tidy-8.png)

---

### 하나의 컬럼을 나누기 - separate()

아래와 같이 여러 부호로 그 의미가 나누어져있지만 한 컬럼에 데이터가 있는 경우 컬럼을 의미 단위로 분리하는 역할을 수행. into = c("나눠질 때 첫번째 컬럼 이름","나눠질 때 두번째 컬럼 이름")으로 새로 생성되는 컬럼의 이름을 지정할 수 있음

```r
table3
```

```r
table3 %>% 
  separate(rate
           ,into = c("cases", "population"))
```

```
## # A tibble: 6 x 4
##       country  year  cases population
## *       <chr> <int>  <chr>      <chr>
## 1 Afghanistan  1999    745   19987071
## 2 Afghanistan  2000   2666   20595360
## 3      Brazil  1999  37737  172006362
## 4      Brazil  2000  80488  174504898
## 5       China  1999 212258 1272915272
## 6       China  2000 213766 1280428583
```
]

---

### 간단한 형변환은 옵션으로 제공

```r
table3 %>% 
  separate(rate
   , into = c("cases"
        , "population")
        )
```

```r
table3 %>% 
  separate(rate
   , into = c("cases"
        , "population")
        , convert = TRUE)
```

---

### 두 컬럼을 합치기 - unite()

unite()는 두 컬럼을 paste0()와 비슷하게 합쳐주는 역할을 수행

```r
table5
```

```
## # A tibble: 6 x 4
##       country century  year              rate
## *       <chr>   <chr> <chr>             <chr>
## 1 Afghanistan      19    99      745/19987071
## 2 Afghanistan      20    00     2666/20595360
## 3      Brazil      19    99   37737/172006362
## 4      Brazil      20    00   80488/174504898
## 5       China      19    99 212258/1272915272
## 6       China      20    00 213766/1280428583
```
]
.pull-right[

```r
table5 %>% 
  unite(new, century, year)
```

```
## # A tibble: 6 x 3
##       country   new              rate
## *       <chr> <chr>             <chr>
## 1 Afghanistan 19_99      745/19987071
## 2 Afghanistan 20_00     2666/20595360
## 3      Brazil 19_99   37737/172006362
## 4      Brazil 20_00   80488/174504898
## 5       China 19_99 212258/1272915272
## 6       China 20_00 213766/1280428583
```
]

---

### 구분자 지정

sep 인자를 이용해 구분자로 사용할 문자열을 지정할 수 있음

```r
table5 %>% 
  unite(new, century, year)
```

```r
table5 %>% 
  unite(new, century, year, sep = "")
```

```
## # A tibble: 6 x 3
##       country   new              rate
## *       <chr> <chr>             <chr>
## 1 Afghanistan  1999      745/19987071
## 2 Afghanistan  2000     2666/20595360
## 3      Brazil  1999   37737/172006362
## 4      Brazil  2000   80488/174504898
## 5       China  1999 212258/1272915272
## 6       China  2000 213766/1280428583
```
]

---

## 데이터 소스에 연결하기

---

## 데이터 소스로서 DBI

DBI 패키지가 연결하는 database의 연결정보를 바탕으로 dplyr 문법을 사용할 수 있습니다. 그렇게 하기 위해서는 dbplyr 패키지가 필요합니다.

```r
if (!requireNamespace("dbplyr")) install.packages("dbplyr")
```

```
## Loading required namespace: dbplyr
```

```
## Installing package into 'C:/Users/mrchypark/Documents/R/win-library/3.4'
## (as 'lib' is unspecified)
```

```
## package 'dbplyr' successfully unpacked and MD5 sums checked
## 
## The downloaded binary packages are in
## 	C:\Users\mrchypark\AppData\Local\Temp\RtmpGkwJOm\downloaded_packages
```

```r
library(dbplyr)
```

```
## 
## Attaching package: 'dbplyr'
```

```
## The following objects are masked from 'package:dplyr':
## 
##     ident, sql
```

---

### data.table

데이터 소스로서 data.table을 사용할 수 있습니다. data.table을 사용하기 위해서는 dtplyr 패키지를 설치해야 합니다. data.table의 독립적인 동작은 [cheat sheet](https://s3.amazonaws.com/assets.datacamp.com/img/blog/data+table+cheat+sheet.pdf)을 확인해주세요.

```r
if (!requireNamespace("dtplyr")) install.packages("dtplyr")
```

```
## Loading required namespace: dtplyr
```

```
## Installing package into 'C:/Users/mrchypark/Documents/R/win-library/3.4'
## (as 'lib' is unspecified)
```

```
## package 'dtplyr' successfully unpacked and MD5 sums checked
## 
## The downloaded binary packages are in
## 	C:\Users\mrchypark\AppData\Local\Temp\RtmpGkwJOm\downloaded_packages
```

```r
library(dtplyr)
```

---

## R 데이터를 DB 테이블로 만들기 copy_to()

copy_to()는 DBI의 dbWriteTable()과 같은 기능을 수행. dplyr 패키지에 속한 copy_to()는 성능 개선을 통해 dbWriteTable() 보다 빠른 속도를 제공함

```r
library(RSQLite)
library(nycflights13)

conn <- dbConnect(SQLite())

copy_to(conn
        , flights
        , temporary = FALSE
        , name = 'flights')
dbListTables(conn)
```

```
## [1] "flights"      "sqlite_stat1" "sqlite_stat4"
```

---

## 테이블의 연결정보를 R 객체에 저장 - tbl()

dbplyr과 DBI, dplyr로 데이터베이스의 테이블을 dplyr 문법으로 다루기 위해서는 DBI 패키지에서 conn 객체와 같이 테이블의 연결정보를 담고 있는 R 객체가 필요. tbl()는 DB내 테이블 연결정보를 R 객체로 만드는 함수

```r
tb_flights <- tbl(conn, "flights")
```

---

### 속도를 빠르게 하는 indexes 옵션

copy_to()를 진행할 때 key 역할을 수행할 컬럼을 미리 지정해주면 관련 컬럼을 사용하는 연산(group_by에 key 컬럼 사용 등)에서 속도를 높일 있음

```r
copy_to(conn,
        flights,
        name = 'flights_idx',
        temporary = FALSE,
        indexes = list("carrier"))

tb_flights <- tbl(conn, "flights")
tb_flights_idx <- tbl(conn, "flights_idx")
```

---

### 함수 속도를 비교 - microbenchmark()

함수의 속도와 결과를 비교해서 같은 결과에 빠른 속도의 함수를 사용하기 위해 비교 테스트를 진행

```r
if (!requireNamespace("microbenchmark")) install.packages("microbenchmark")
```

```
## Loading required namespace: microbenchmark
```

```
## Installing package into 'C:/Users/mrchypark/Documents/R/win-library/3.4'
## (as 'lib' is unspecified)
```

```
## package 'microbenchmark' successfully unpacked and MD5 sums checked
## 
## The downloaded binary packages are in
## 	C:\Users\mrchypark\AppData\Local\Temp\RtmpGkwJOm\downloaded_packages
```

```r
library(microbenchmark)
```

---

### indexes 속도 비교

```r
microbenchmark(tbl(conn, 'flights') %>%
                 group_by(carrier) %>%
                 summarise(count = n()) %>%
                 collect(),
               tbl(conn, 'flights_idx') %>%
                 group_by(carrier) %>%
                 summarise(count = n()) %>%
                 collect(),
               times = 10)
```

```
## Unit: milliseconds
##                                                                                          expr
##      tbl(conn, "flights") %>% group_by(carrier) %>% summarise(count = n()) %>%      collect()
##  tbl(conn, "flights_idx") %>% group_by(carrier) %>% summarise(count = n()) %>%      collect()
##        min        lq      mean    median       uq       max neval
##  159.51046 177.37830 205.03707 194.09691 234.1822 290.87159    10
##   37.43287  37.84492  47.45835  44.17065  53.8540  68.35395    10
```

---

### collect()

collect()는 DB에 전달하는 명령의 최종 결과를 R 객체로 가져오는 역할을 수행합니다.

```r
tbl(conn, 'flights') %>%
                 group_by(carrier) %>%
                 summarise(count = n()) %>%
                 collect()
```

```
## # A tibble: 16 x 2
##    carrier count
##      <chr> <int>
##  1      9E 18460
##  2      AA 32729
##  3      AS   714
##  4      B6 54635
##  5      DL 48110
##  6      EV 54173
##  7      F9   685
##  8      FL  3260
##  9      HA   342
## 10      MQ 26397
## 11      OO    32
## 12      UA 58665
## 13      US 20536
## 14      VX  5162
## 15      WN 12275
## 16      YV   601
```

---

### 결과를 테이블로 저장 - compute()

compute()는 collect()와는 달리 연산된 결과를 R 객체로 저장하는 것이 아니라 새로 이름지은 테이블로 DB에 저장하는 동작을 수행

```r
dbListTables(conn)
```

```
## [1] "flights"      "flights_idx"  "sqlite_stat1" "sqlite_stat4"
```

```r
tbl(conn, 'flights') %>%
  group_by(tailnum) %>%
  summarise(count=n(),
            mean_distance = mean(distance),
            total_distance = sum(distance)) %>%
  filter(!is.na(tailnum)) %>%
  compute(name = 'planes_distance')
```

```
## # Source:   table<planes_distance> [?? x 4]
## # Database: sqlite 3.19.3 []
##    tailnum count mean_distance total_distance
##      <chr> <int>         <dbl>          <dbl>
##  1  D942DN     4      854.5000           3418
##  2  N0EGMQ   371      676.1887         250866
##  3  N10156   153      757.9477         115966
##  4  N102UW    48      535.8750          25722
##  5  N103US    46      535.1957          24619
##  6  N104UW    47      535.2553          25157
##  7  N10575   289      519.7024         150194
##  8  N105UW    45      524.8444          23618
##  9  N107US    41      528.7073          21677
## 10  N108UW    60      534.5000          32070
## # ... with more rows
```

---
  
### 테이블 저장 결과 확인

```r
dbListTables(conn)
```

```
## [1] "flights"         "flights_idx"     "planes_distance" "sqlite_stat1"   
## [5] "sqlite_stat4"
```

```r
dbReadTable(conn, "planes_distance")
```

```
##      tailnum count mean_distance total_distance
## 1     D942DN     4      854.5000           3418
## 2     N0EGMQ   371      676.1887         250866
## 3     N10156   153      757.9477         115966
## 4     N102UW    48      535.8750          25722
## 5     N103US    46      535.1957          24619
## 6     N104UW    47      535.2553          25157
## 7     N10575   289      519.7024         150194
## 8     N105UW    45      524.8444          23618
## 9     N107US    41      528.7073          21677
## 10    N108UW    60      534.5000          32070
## 11    N109UW    48      535.8750          25722
## 12    N110UW    40      535.3750          21415
## 13    N11106   129      771.4109          99512
## 14    N11107   148      705.8649         104468
## 15    N11109   148      714.0000         105672
## 16    N11113   138      719.7754          99329
## 17    N11119   148      723.3851         107061
## 18    N11121   154      719.3701         110783
## 19    N11127   124      748.1129          92766
## 20    N11137   112      726.5982          81379
## 21    N11140   157      747.2102         117312
## 22    N11150   136      775.5588         105476
## 23    N11155    98      779.1224          76354
## 24    N11164   143      677.4476          96875
## 25    N11165   159      752.8805         119708
## 26    N11176   142      729.0704         103528
## 27    N11181   125      705.4160          88177
## 28    N11184   136      744.0515         101191
## 29    N11187   133      733.8872          97607
## 30    N11189   140      684.2714          95798
## 31    N11191   136      734.3750          99875
## 32    N11192   154      703.5000         108339
## 33    N11193   161      697.7888         112344
## 34    N11194   156      715.5962         111633
## 35    N11199   126      718.4762          90528
## 36    N111US    30      535.6000          16068
## 37    N11206   111     1414.0090         156955
## 38    N112US    38      535.4737          20348
## 39    N113UW    43      534.7209          22993
## 40    N114UW    39      525.9231          20511
## 41    N11535   232      520.3664         120725
## 42    N11536   277      503.3538         139429
## 43    N11539   229      497.2052         113860
## 44    N11544   226      507.9867         114805
## 45    N11547   266      527.6090         140344
## 46    N11548   247      515.9069         127429
## 47    N11551   242      517.9711         125349
## 48    N11565   243      498.2140         121066
## 49    N117UW    46      536.5000          24679
## 50    N118US    43      533.6047          22945
## 51    N119US    39      536.6154          20928
## 52    N1200K    21     2046.4762          42976
## 53    N1201P    16     1767.1250          28274
## 54    N12109    86     1687.6860         145141
## 55    N12114    68     1435.7059          97628
## 56    N12116    78     1505.7949         117452
## 57    N12122   128      665.0156          85122
## 58    N12125    94     1573.2979         147890
## 59    N12126   152      730.9474         111104
## 60    N12135   143      749.4965         107178
## 61    N12136   123      760.7724          93575
## 62    N12142   129      761.1395          98187
## 63    N12145    85      748.9176          63658
## 64    N12157   144      734.6736         105793
## 65    N12160   116      757.2672          87843
## 66    N12163   137      779.3431         106770
## 67    N12166   125      746.1280          93266
## 68    N12167   156      705.8974         110120
## 69    N12172   132      731.8258          96601
## 70    N12175   171      729.6491         124770
## 71    N12195   148      709.8243         105054
## 72    N121DE     2      762.0000           1524
## 73    N121UW    31      536.1613          16621
## 74    N12201   130      697.6385          90693
## 75    N12216   103     1592.7864         164057
## 76    N12218   111     1423.1532         157970
## 77    N12221   124     1368.2903         169668
## 78    N12225   113     1270.8142         143602
## 79    N12238    94     1457.6064         137015
## 80    N122US    45      536.4000          24138
## 81    N123UW    33      532.9091          17586
## 82    N124US    46      536.9565          24700
## 83    N12540   225      480.5333         108120
## 84    N12552   244      562.9877         137369
## 85    N12563   202      513.9109         103810
## 86    N12564   250      505.8560         126464
## 87    N12567   274      508.2518         139261
## 88    N12569   237      516.9916         122527
## 89    N125UW    35      534.1429          18695
## 90    N126UW    44      533.5682          23477
## 91    N127UW    42      536.5714          22536
## 92    N128UW    39      536.0000          20904
## 93    N12900   237      548.3586         129961
## 94    N12921   280      514.6536         144103
## 95    N12922   243      512.1029         124441
## 96    N12924   245      523.1224         128165
## 97    N12957   220      496.2727         109180
## 98    N12967   230      498.3043         114610
## 99    N12996   261      488.7663         127568
## 100   N13110    91     1615.7363         147032
## 101   N13113    72     1365.8472          98341
## 102   N13118   126      688.8095          86790
## 103   N13123   121      692.0826          83742
## 104   N13124   149      682.4832         101690
## 105   N13132   152      644.2632          97928
## 106   N13133   137      694.8613          95196
## 107   N13138    91     1530.3077         139258
## 108   N13161   124      749.7500          92969
## 109   N131EV    55      729.8909          40144
## 110   N13202   128      719.0078          92033
## 111   N13248   118     1505.6017         177661
## 112   N132EV    35      655.2000          22932
## 113   N133EV    38      668.2632          25394
## 114   N134EV    38      690.2368          26229
## 115   N13538   262      506.4389         132687
## 116   N13550   247      531.1296         131189
## 117   N13553   273      509.4689         139085
## 118   N13566   240      505.0292         121207
## 119   N135EV    42      624.2857          26220
## 120   N136DL     1      762.0000            762
## 121   N136EV    37      686.4865          25400
## 122   N13716   167     1320.5569         220533
## 123   N13718   161     1183.2547         190504
## 124   N13750   166     1226.9578         203675
## 125   N137DL     1      762.0000            762
## 126   N137EV    36      652.1111          23476
## 127   N138EV    28      648.0357          18145
## 128   N13903   239      511.5397         122258
## 129   N13908   265      494.9547         131163
## 130   N13913   269      490.6283         131979
## 131   N13914   267      515.9551         137760
## 132   N13949   291      509.3196         148212
## 133   N13955   258      502.9302         129756
## 134   N13956   260      512.9577         133369
## 135   N13958   259      487.3745         126230
## 136   N13964   216      525.2824         113461
## 137   N13965   255      513.9686         131062
## 138   N13968   264      506.2121         133640
## 139   N13969   222      485.8063         107849
## 140   N13970   231      542.8831         125406
## 141   N13975   253      489.6087         123871
## 142   N13978   257      534.1245         137270
## 143   N13979   264      517.3864         136590
## 144   N13988   217      510.5806         110796
## 145   N13989   245      516.7592         126606
## 146   N13992   261      504.8238         131759
## 147   N13994   271      517.4244         140222
## 148   N13995   203      501.0936         101722
## 149   N13997   242      529.1198         128047
## 150   N14102    93     1542.3978         143443
## 151   N14105   163      738.5460         120383
## 152   N14106    82     1560.9024         127994
## 153   N14107    74     1662.3243         123012
## 154   N14115    74     1663.4595         123096
## 155   N14116   124      676.7823          83921
## 156   N14117   130      760.7615          98899
## 157   N14118   110     1667.0182         183372
## 158   N14120    74     1563.6351         115709
## 159   N14121    87     1642.0115         142855
## 160   N14125   120      742.3083          89077
## 161   N14143   143      715.9790         102385
## 162   N14148   133      683.9248          90962
## 163   N14153   141      712.6312         100481
## 164   N14158   128      707.8203          90601
## 165   N14162   123      736.6667          90610
## 166   N14168   147      674.5714          99162
## 167   N14171   116      718.0172          83290
## 168   N14173   117      736.5726          86179
## 169   N14174   173      765.0173         132348
## 170   N14177   142      719.4437         102161
## 171   N14179   158      713.1709         112681
## 172   N14180   169      746.7692         126204
## 173   N14186   117      623.3333          72930
## 174   N14188   116      769.8190          89299
## 175   N14198   128      727.0312          93060
## 176   N14203   103      736.9806          75909
## 177   N14204   138      751.8696         103758
## 178   N14214   129     1313.6822         169465
## 179   N14219   121     1433.2562         173424
## 180   N14228   111     1546.9640         171713
## 181   N14230   123     1397.8862         171940
## 182   N14231   114     1499.9123         170990
## 183   N14237   106     1350.3302         143135
## 184   N14242   126     1383.9841         174382
## 185   N14250   111     1509.8829         167597
## 186   N143DA     1      760.0000            760
## 187   N14542   262      518.8435         135937
## 188   N14543   247      523.5385         129314
## 189   N14558   283      512.4240         145016
## 190   N14562   246      507.2520         124784
## 191   N14568   266      508.8835         135363
## 192   N14570   252      503.0159         126760
## 193   N14573   295      508.1627         149908
## 194   N14628     1     1416.0000           1416
## 195   N14629     4     1416.0000           5664
## 196   N146PQ    44      649.2273          28566
## 197   N14704   174     1218.0402         211939
## 198   N14731   148     1305.8986         193273
## 199   N147PQ    15      610.6000           9159
## 200   N14902   229      502.6812         115114
## 201   N14904   266      535.3534         142404
## 202   N14905   209      504.1053         105358
## 203   N14907   250      525.6120         131403
## 204   N14916   261      502.4828         131148
## 205   N14920   250      486.7360         121684
## 206   N14923   216      474.1806         102423
## 207   N14950   219      549.3425         120306
## 208   N14952   275      524.6909         144290
## 209   N14953   256      523.0312         133896
## 210   N14959   252      518.3373         130621
## 211   N14960   204      532.2353         108576
## 212   N14972   204      529.2794         107973
## 213   N14974   221      487.6018         107760
## 214   N14977   252      529.2659         133375
## 215   N14991   250      532.3720         133093
## 216   N14993   259      512.6757         132783
## 217   N14998   230      514.9435         118437
## 218   N149AT    22      762.0000          16764
## 219   N1501P     6     1617.5000           9705
## 220   N150UW    67      537.5522          36016
## 221   N151UW    54      538.2222          29064
## 222   N152DL     2      760.0000           1520
## 223   N152UW    51      539.5294          27516
## 224   N153DL     4     1617.5000           6470
## 225   N153PQ    31      647.5484          20074
## 226   N153UW    60      565.4167          33925
## 227   N154DL    50     2429.9400         121497
## 228   N154UW    51      539.0000          27489
## 229   N15555   234      497.7479         116473
## 230   N15572   308      514.5162         158471
## 231   N15574   219      539.3333         118114
## 232   N155DL     9     1542.6667          13884
## 233   N155UW    40      535.6750          21427
## 234   N156DL    16     2150.1250          34402
## 235   N156UW    39      536.7692          20934
## 236   N15710   185     1240.7081         229531
## 237   N15712   151     1260.8013         190381
## 238   N157UW    40      538.4500          21538
## 239   N15910   280      502.7393         140767
## 240   N15912   242      526.8182         127490
## 241   N15973   240      497.2208         119333
## 242   N15980   316      503.2816         159037
## 243   N15983   253      505.6008         127917
## 244   N15985   231      520.7489         120293
## 245   N15986   231      506.5498         117013
## 246    N1602    12     1327.6667          15932
## 247    N1603    16     1603.3750          25654
## 248   N1604R    18     1477.6111          26597
## 249    N1605    20     1427.4500          28549
## 250   N16065    14     1487.4286          20824
## 251   N1607B     3      760.0000           2280
## 252    N1608     3      760.0000           2280
## 253    N1609     4      760.0000           3040
## 254   N1610D     2      760.0000           1520
## 255   N16112    90      757.5444          68179
## 256   N1611B     2      760.0000           1520
## 257   N1612T     9      760.0000           6840
## 258   N1613B     7      760.0000           5320
## 259   N16147   112      644.9196          72231
## 260   N16149   158      732.4873         115733
## 261   N16151   134      728.4478          97612
## 262   N16170   159      686.9748         109229
## 263   N16178   108      677.6111          73182
## 264   N16183   127      743.0866          94372
## 265   N161PQ     3      760.0000           2280
## 266   N161UW    82      537.8537          44104
## 267   N16217    99     1529.5455         151425
## 268   N16234   110     1309.6818         144065
## 269   N162PQ     2      624.0000           1248
## 270   N162UW    74      559.6216          41412
## 271   N163US    83      538.5783          44702
## 272   N16541   247      531.5709         131298
## 273   N16546   238      508.1345         120936
## 274   N16559   226      524.5088         118539
## 275   N16561   232      530.9224         123174
## 276   N16571   267      533.2622         142381
## 277   N165US    78      536.9231          41880
## 278   N16632    11     1402.9091          15432
## 279   N166PQ    41      660.9512          27099
## 280   N16701   156     1274.0769         198756
## 281   N16703   170     1205.8059         204987
## 282   N16709   167     1294.5329         216187
## 283   N16713   168     1282.0893         215391
## 284   N16732   150     1249.4600         187419
## 285   N167US    90      539.0333          48513
## 286   N168AT    18      762.0000          13716
## 287   N16911   262      527.2366         138136
## 288   N16918   257      513.9922         132096
## 289   N16919   251      510.4861         128132
## 290   N16951   196      511.8878         100330
## 291   N16954   207      502.8696         104094
## 292   N16961   239      537.3682         128431
## 293   N16963   233      514.8584         119962
## 294   N16976   232      518.0129         120179
## 295   N16981   274      505.2409         138436
## 296   N16987   222      512.6847         113816
## 297   N16999   199      498.8744          99276
## 298   N169AT    11      762.0000           8382
## 299   N169DZ    14     1721.0714          24095
## 300   N169UW    72      559.7222          40300
## 301   N170PQ     7      754.0000           5278
## 302   N170US    73      538.6164          39319
## 303   N17104    88     1403.4659         123505
## 304   N17105    83     1522.0723         126332
## 305   N17108   145      745.9379         108161
## 306   N17115   128      723.9766          92669
## 307   N17122    97     1512.5361         146716
## 308   N17126    95     1650.2211         156771
## 309   N17128    89     1698.5056         151167
## 310   N17133    88     1476.5114         129933
## 311   N17138   137      776.3942         106366
## 312   N17139    91     1547.8901         140858
## 313   N17146   119      680.7983          81015
## 314   N17159   130      772.3692         100408
## 315   N17169   138      715.8696          98790
## 316   N17185   147      742.7823         109189
## 317   N17196   149      698.4899         104075
## 318   N171DN    11      983.8182          10822
## 319   N171DZ    17     1740.7647          29593
## 320   N171US    81      536.3704          43446
## 321   N17229   142     1433.9437         203620
## 322   N17233   111     1460.7658         162145
## 323   N17244   109     1473.7523         160639
## 324   N17245   123     1529.2276         188095
## 325   N172DN    15     1664.4000          24966
## 326   N172DZ    13     2042.5385          26553
## 327   N172US    65      562.2000          36543
## 328   N173AT     9      762.0000           6858
## 329   N173DZ    21     1640.6667          34454
## 330   N173US    82      538.5488          44161
## 331   N174AT     8      762.0000           6096
## 332   N174DN    19     1784.2632          33901
## 333   N174DZ    15     1424.8000          21372
## 334   N174US    85      538.0706          45736
## 335   N17560   168      510.5238          85768
## 336   N175AT     5      762.0000           3810
## 337   N175DN    10     1395.3000          13953
## 338   N175DZ    19     1564.2632          29721
## 339   N17627     2     1416.0000           2832
## 340   N176AT    10      762.0000           7620
## 341   N176DN    12     1916.6667          23000
## 342   N176DZ    18     1799.7778          32396
## 343   N176PQ    28      627.5714          17572
## 344   N176UW    84      537.6429          45162
## 345   N17719   151     1308.7748         197625
## 346   N17730   152     1112.0329         169029
## 347   N177DN    10     1097.7000          10977
## 348   N177DZ     8      990.7500           7926
## 349   N177US    72      537.4167          38694
## 350   N178DN    12     1613.0833          19357
## 351   N178DZ    11     1671.3636          18385
## 352   N178JB   320      498.5813         159546
## 353   N178US    65      562.7538          36579
## 354   N17984   240      534.7042         128329
## 355   N179DN     6     1045.8333           6275
## 356   N179JB   311      447.6238         139211
## 357   N179UW    76      537.9605          40885
## 358   N180DN    35     2026.0571          70912
## 359   N180US    64      537.2031          34381
## 360   N18101   106      663.5660          70338
## 361   N18102   115      684.2870          78693
## 362   N18112    86     1677.7791         144289
## 363   N18114   128      709.4766          90813
## 364   N18119   111     1619.6396         179780
## 365   N18120   134      744.6716          99786
## 366   N181DN    12     1071.5833          12859
## 367   N181PQ    39      619.8718          24175
## 368   N181UW    63      538.6667          33936
## 369   N18220   106     1390.9245         147438
## 370   N18223   110     1507.8364         165862
## 371   N18243   101     1501.0396         151605
## 372   N182DN    12     1876.8333          22522
## 373   N182UW    55      537.2364          29548
## 374   N183DN    23     1867.1739          42945
## 375   N183JB   361      453.0471         163550
## 376   N183UW    60      539.1000          32346
## 377   N184AT     4      762.0000           3048
## 378   N184DN    16     1815.6250          29050
## 379   N184JB   347      484.5994         168156
## 380   N184US    75      537.5200          40314
## 381   N18556   207      523.2609         108315
## 382   N18557   294      504.6327         148362
## 383   N185DN    14     1709.7143          23936
## 384   N185UW    68      563.4265          38313
## 385   N186DN    27     1893.4444          51123
## 386   N186PQ    29      593.3793          17208
## 387   N186US    63      536.7143          33813
## 388   N187DN    65     2423.1231         157503
## 389   N187JB   337      495.2344         166894
## 390   N187PQ     5      705.6000           3528
## 391   N187US    74      537.2703          39758
## 392   N188DN    73     2467.6301         180137
## 393   N188US    95      555.0000          52725
## 394   N189DN    55     2443.8182         134410
## 395   N189UW    75      538.3200          40374
## 396   N190DN    52     2462.6154         128056
## 397   N190JB   362      481.7901         174408
## 398   N190UW    72      537.8333          38724
## 399   N19117    82     1602.6951         131421
## 400   N19130   109     1512.5963         164873
## 401   N19136    68     1590.4118         108148
## 402   N19141    89     1677.3820         149287
## 403   N191DN    63     2391.6508         150674
## 404   N191UW    64      536.1250          34312
## 405   N192DN    58     2428.7069         140865
## 406   N192JB   319      499.0658         159202
## 407   N192UW    85      538.1059          45739
## 408   N193DN    57     2324.5614         132500
## 409   N193JB   334      456.6737         152529
## 410   N193UW    97      539.2680          52309
## 411   N194DN    54     2447.3519         132157
## 412   N194UW    76      538.6711          40939
## 413   N19554   311      503.6945         156649
## 414   N195DN    67     2287.4627         153260
## 415   N195PQ    16      634.7500          10156
## 416   N195UW    73      538.0822          39280
## 417   N196DN    47     2473.8723         116272
## 418   N196UW    66      539.2727          35592
## 419   N197DN    58     2412.8276         139944
## 420   N197JB   233      533.7124         124355
## 421   N197PQ    33      665.6667          21967
## 422   N197UW    85      537.1882          45661
## 423   N198DN    53     2410.2830         127745
## 424   N198JB   306      479.1438         146618
## 425   N198UW    83      535.8675          44477
## 426   N19966   212      496.6132         105282
## 427   N199DN    54     2414.6111         130389
## 428   N199UW    68      537.4706          36548
## 429   N1EAMQ   210      664.7857         139605
## 430   N200AA    34     1033.6471          35144
## 431   N200PQ    35      700.7714          24527
## 432   N200WN    28      992.1786          27781
## 433   N201AA    54     1011.8148          54638
## 434   N201FR    34     1620.0000          55080
## 435   N201LV    32      921.1250          29476
## 436   N202AA    36     1058.2222          38096
## 437   N202FR    47     1620.0000          76140
## 438   N202WN    23      950.4348          21860
## 439   N203FR    41     1620.0000          66420
## 440   N203JB   285      510.4351         145474
## 441   N203WN    35     1041.2286          36443
## 442   N204FR    48     1620.0000          77760
## 443   N204WN    28      901.0714          25230
## 444   N205FR    47     1620.0000          76140
## 445   N205WN    21      845.0476          17746
## 446   N206FR    33     1620.0000          53460
## 447   N206JB   307      489.3746         150238
## 448   N206UA     1     2454.0000           2454
## 449   N206WN    21     1031.2857          21657
## 450   N207FR    33     1620.0000          53460
## 451   N207WN    26     1005.9615          26155
## 452   N208FR    26     1620.0000          42120
## 453   N208WN    20      921.0500          18421
## 454   N20904     2     1400.0000           2800
## 455   N209FR    34     1620.0000          55080
## 456   N209WN    32     1049.3750          33580
## 457   N210FR    40     1620.0000          64800
## 458   N210WN    27     1089.2963          29411
## 459   N21108   100     1504.9300         150493
## 460   N21129   137      720.4599          98703
## 461   N21130   126      764.0556          96271
## 462   N21144   131      682.6870          89432
## 463   N21154   156      725.1603         113125
## 464   N21197   168      664.3036         111603
## 465   N211FR    31     1620.0000          50220
## 466   N211WN    33     1060.3333          34991
## 467   N212WN    18     1115.8889          20086
## 468   N213FR    47     1620.0000          76140
## 469   N213WN    28     1005.8929          28165
## 470   N214FR    42     1620.0000          68040
## 471   N214WN    23     1031.7826          23731
## 472   N21537   224      518.5089         116146
## 473   N215WN    24     1151.3333          27632
## 474   N216FR    42     1620.0000          68040
## 475   N216JB   343      512.0466         175632
## 476   N216WR    29     1034.6897          30006
## 477   N21723   143     1323.5245         189264
## 478   N217JC    34     1045.0294          35531
## 479   N218FR    68     1620.0000         110160
## 480   N218WN    26     1034.9231          26908
## 481   N219WN    22     1084.8636          23867
## 482   N220WN    24      893.7500          21450
## 483   N221FR     4     1620.0000           6480
## 484   N221WN    30      984.3667          29531
## 485   N222WN    26     1042.0769          27094
## 486   N223WN    28     1128.2857          31592
## 487   N224WN    29      890.9655          25838
## 488   N225WN    22      982.3636          21612
## 489   N226WN    26      841.5385          21880
## 490   N227WN    26     1185.6154          30826
## 491   N228JB   388      480.0515         186260
## 492   N228PQ    28      650.2143          18206
## 493   N228UA     1     2454.0000           2454
## 494   N228WN    27      888.3704          23986
## 495   N22909   262      494.4809         129554
## 496   N22971   230      494.1130         113646
## 497   N229JB   364      466.6456         169859
## 498   N229WN    27      942.3333          25443
## 499   N230WN    21      960.0476          20161
## 500   N23139   141      734.4823         103562
## 501   N231JB   285      491.0667         139954
## 502   N231WN    42      962.3095          40417
## 503   N232PQ    42      743.1905          31214
## 504   N232WN    34     1144.3529          38908
## 505   N233LV    30      914.5000          27435
## 506   N234WN    33     1018.9394          33625
## 507   N235WN    26      934.2692          24291
## 508   N236JB   308      505.5292         155703
## 509   N236WN    36     1014.7222          36530
## 510   N23707   168     1177.7440         197861
## 511   N23708   163     1186.2025         193351
## 512   N23721   149     1284.2685         191356
## 513   N237WN    36      963.9722          34703
## 514   N238JB   313      465.0543         145562
## 515   N238WN    35     1013.6000          35476
## 516   N239JB   271      477.6679         129448
## 517   N239WN    27     1048.4074          28307
## 518   N240AT     5      762.0000           3810
## 519   N240WN    21      921.6190          19354
## 520   N24103   134      702.6642          94157
## 521   N24128   129      666.0465          85920
## 522   N241WN    28     1078.7500          30205
## 523   N24202   104     1348.7981         140275
## 524   N24211   130     1330.2615         172934
## 525   N24212   120     1392.0833         167050
## 526   N24224    78     1486.9231         115980
## 527   N242WN    36     1123.9167          40461
## 528   N243WN    32     1158.5000          37072
## 529   N244WN    36     1010.5000          36378
## 530   N245AY     2      529.0000           1058
## 531   N245WN    26     1023.4231          26609
## 532   N24633     8     1414.0000          11312
## 533   N246LV    35     1033.7143          36180
## 534   N24702   172     1197.0465         205892
## 535   N24706   178     1254.5618         223312
## 536   N24715   163     1316.5215         214593
## 537   N24729   168     1362.1786         228846
## 538   N247JB   350      455.7971         159529
## 539   N247WN    33     1039.3333          34298
## 540   N248WN    42      987.3333          41468
## 541   N249JB   355      466.8056         165716
## 542   N249WN    29      966.6552          28033
## 543   N250WN    30     1067.8333          32035
## 544   N25134   109      713.3578          77756
## 545   N251WN    33      885.0606          29207
## 546   N252WN    27     1042.5556          28149
## 547   N253WN    27     1085.1852          29300
## 548   N254WN    30     1042.6667          31280
## 549   N255WN    39     1095.4872          42724
## 550   N256WN    21     1086.0000          22806
## 551   N25705   166     1193.4337         198110
## 552   N257WN    31      879.0000          27249
## 553   N258JB   427      529.8806         226259
## 554   N258WN    42      913.8810          38383
## 555   N259WN    24      981.3750          23553
## 556   N260WN    31     1036.6452          32136
## 557   N26123   107     1528.5327         163553
## 558   N26141   111      664.8378          73797
## 559   N261AT     9      762.0000           6858
## 560   N261AV     6     1620.0000           9720
## 561   N261WN    35     1041.1143          36439
## 562   N26208   122     1433.6230         174902
## 563   N26210    89     1309.8989         116581
## 564   N26215   101     1526.9505         154222
## 565   N26226   115     1420.9565         163410
## 566   N262WN    33      880.6061          29060
## 567   N263AV    41     1620.0000          66420
## 568   N263WN    32     1133.6875          36278
## 569   N264LV    31     1052.4839          32627
## 570   N26545   265      497.9925         131968
## 571   N26549   260      519.9692         135192
## 572   N265JB   292      466.9658         136354
## 573   N265WN    25      967.1600          24179
## 574   N266JB   343      483.8659         165966
## 575   N266WN    26      871.8846          22669
## 576   N267AT    21      762.0000          16002
## 577   N267JB   335      495.8239         166101
## 578   N267WN    27     1075.7037          29044
## 579   N268WN    29      987.0690          28625
## 580   N26906     1     1400.0000           1400
## 581   N269WN    37     1050.8919          38883
## 582   N270WN    28      990.1786          27725
## 583   N27152   109      719.6422          78441
## 584   N27190   123      698.0976          85866
## 585   N271LV    26      909.2308          23640
## 586   N27200   163      692.2209         112832
## 587   N27205   114     1518.2105         173076
## 588   N27213   107     1538.0561         164572
## 589   N27239   112     1395.0446         156245
## 590   N272AT    17      762.0000          12954
## 591   N272PQ    39      623.6410          24322
## 592   N272WN    25      970.2800          24257
## 593   N273AT    13      762.0000           9906
## 594   N273JB   269      502.0781         135059
## 595   N273WN    26     1007.3846          26192
## 596   N27421    84     1785.5476         149986
## 597   N27477    45     1632.2000          73449
## 598   N274JB   370      472.8405         174951
## 599   N274WN    22      886.9545          19513
## 600   N275WN    27     1031.6667          27855
## 601   N276AT     6      762.0000           4572
## 602   N276WN    35      982.3143          34381
## 603   N27722   154     1229.7857         189387
## 604   N27724   175     1261.1714         220705
## 605   N27733   178     1176.8202         209474
## 606   N277WN    31      982.4516          30456
## 607   N278AT     7      762.0000           5334
## 608   N278WN    29     1019.5862          29568
## 609   N27901     1     1400.0000           1400
## 610   N27962   274      516.0693         141403
## 611   N279AT     8      762.0000           6096
## 612   N279JB   287      519.5157         149101
## 613   N279PQ    42      598.9286          25155
## 614   N279WN    27     1115.7778          30126
## 615   N280WN    36      986.7222          35522
## 616   N281AT    18      762.0000          13716
## 617   N281JB   319      466.5078         148816
## 618   N281WN    33     1084.8788          35801
## 619   N282WN    29      946.5517          27450
## 620   N283AT    14      762.0000          10668
## 621   N283JB   344      502.6279         172904
## 622   N283WN    28     1024.3929          28683
## 623   N28457   109     1641.5872         178933
## 624   N28478    53     1759.3208          93244
## 625   N284AT     9      762.0000           6858
## 626   N284JB   273      544.2784         148588
## 627   N284WN    36      886.5000          31914
## 628   N285AT    14      735.9286          10303
## 629   N285WN    35     1025.7143          35900
## 630   N286WN    38     1012.7895          38486
## 631   N287AT     2      762.0000           1524
## 632   N287WN    27     1068.9259          28861
## 633   N288WN    37      956.3243          35384
## 634   N289AT     6      762.0000           4572
## 635   N289CT    26     1043.6538          27135
## 636   N290AT    16      762.0000          12192
## 637   N290WN    40     1083.7750          43351
## 638   N29124    92     1648.0543         151621
## 639   N29129    99     1519.7475         150455
## 640   N291AT     4      762.0000           3048
## 641   N291WN    32      894.3125          28618
## 642   N292JB   322      462.9534         149071
## 643   N292PQ    62      673.3871          41750
## 644   N292WN    26      934.6538          24301
## 645   N293PQ    67      686.0896          45968
## 646   N293WN    21      898.8571          18876
## 647   N294JB   305      486.3574         148339
## 648   N294PQ    37      583.7297          21598
## 649   N294WN    33     1100.8788          36329
## 650   N295AT     4      762.0000           3048
## 651   N295PQ    48      701.4792          33671
## 652   N295WN    25     1058.2400          26456
## 653   N296JB   357      515.1289         183901
## 654   N296PQ    45      621.2000          27954
## 655   N296WN    32      942.1562          30149
## 656   N29717   133     1235.6992         164348
## 657   N297PQ    22      572.5000          12595
## 658   N297WN    32      969.2500          31016
## 659   N298JB   407      473.7518         192817
## 660   N298PQ    27      654.6296          17675
## 661   N298WN    24     1019.3750          24465
## 662   N29906   212      518.1132         109840
## 663   N29917   263      512.5703         134806
## 664   N299AT     6      701.1667           4207
## 665   N299PQ    22      519.1818          11422
## 666   N299WN    30     1039.2000          31176
## 667   N301DQ   147      843.6327         124014
## 668   N301NB   220      908.3636         199840
## 669   N302AS     1     2402.0000           2402
## 670   N302DQ   145      822.4897         119261
## 671   N302NB   234      923.7778         216164
## 672   N303AS     1     2402.0000           2402
## 673   N303DQ   130      840.9000         109317
## 674   N30401    92     1355.2935         124687
## 675   N304DQ   136      838.5882         114048
## 676   N304JB   335      496.2687         166250
## 677   N305AS     2     2402.0000           4804
## 678   N305DQ   139      808.6475         112402
## 679   N306AS     1     2402.0000           2402
## 680   N306DQ   131      812.0458         106378
## 681   N306JB   283      480.1767         135890
## 682   N307AS     2     2402.0000           4804
## 683   N307DQ   124      838.4113         103963
## 684   N307JB   261      512.0498         133645
## 685   N308AT    15      762.0000          11430
## 686   N308DE   129      817.0853         105404
## 687   N309AS     2     2402.0000           4804
## 688   N309AT    14      762.0000          10668
## 689   N309DE   132      822.5455         108576
## 690   N309JB   301      500.3488         150605
## 691   N309US   137      906.0146         124124
## 692   N310DE   143      842.9860         120547
## 693   N310NW   111      968.1532         107465
## 694   N31131   109      669.6055          72987
## 695   N311US    59      878.8136          51850
## 696   N312US   111      890.2793          98821
## 697   N313US   106      923.2547          97865
## 698   N31412    75     1256.2800          94221
## 699   N314NB   217      804.7051         174621
## 700   N314US    83      960.0241          79682
## 701   N315AS     1     2402.0000           2402
## 702   N315AT     3      762.0000           2286
## 703   N315NB   210      830.9571         174501
## 704   N315US    93      883.3226          82149
## 705   N316AT    14      762.0000          10668
## 706   N316JB   252      470.0397         118450
## 707   N316NB   197      928.3706         182889
## 708   N316US    83      859.4217          71332
## 709   N317JB   332      493.2470         163758
## 710   N317NB   190      890.1684         169132
## 711   N317US    81      926.1852          75021
## 712   N317WN     2      872.0000           1744
## 713   N318AS     1     2402.0000           2402
## 714   N318AT     6      762.0000           4572
## 715   N318JB   296      488.9054         144716
## 716   N318NB   202      814.3465         164498
## 717   N318US    88      949.7273          83576
## 718   N319AA   354     2374.3220         840510
## 719   N319AS     3     2402.0000           7206
## 720   N319NB   218      850.7294         185459
## 721   N319US   121      931.0909         112662
## 722   N320AA   307     2419.5831         742812
## 723   N320AS     2     2402.0000           4804
## 724   N320NB   272      899.3015         244610
## 725   N320US   105      954.0000         100170
## 726   N321NB   227      891.5639         202385
## 727   N321US   107      870.2991          93122
## 728   N322AA    15     2475.0000          37125
## 729   N322NB   209      909.9187         190173
## 730   N322US   111      956.0721         106124
## 731   N323AA   357     2365.6275         844529
## 732   N323AS     2     2402.0000           4804
## 733   N323JB   325      460.4154         149635
## 734   N323NB   215      878.8698         188957
## 735   N323US   102      865.8235          88314
## 736   N32404    99     1388.4949         137461
## 737   N324AA   328     2423.4604         794895
## 738   N324JB   370      510.1595         188759
## 739   N324NB   202      826.1683         166886
## 740   N324US   136      916.8676         124694
## 741   N325AA     7     2538.4286          17769
## 742   N325NB   177      900.8305         159447
## 743   N325US   123      914.1057         112435
## 744   N32626     1     1416.0000           1416
## 745   N326AT    18      762.0000          13716
## 746   N326NB   235      762.9617         179296
## 747   N326US   106      937.8962          99417
## 748   N327AA   387     2366.0594         915665
## 749   N327NB   219      928.3653         203312
## 750   N327NW   111      909.2523         100927
## 751   N328AA   393     2389.5700         939101
## 752   N328AT     3      762.0000           2286
## 753   N328JB   309      428.5146         132411
## 754   N328NB    48      746.7917          35846
## 755   N328NW   104      906.8846          94316
## 756   N329AA   344     2415.0465         830776
## 757   N329AT    21      762.0000          16002
## 758   N329JB   279      490.9642         136979
## 759   N329NB   245      868.3510         212746
## 760   N329NW   124      921.1452         114222
## 761   N330AT    18      762.0000          13716
## 762   N330NB    44      813.2045          35781
## 763   N330NW   116      940.0431         109045
## 764   N33103   103     1684.0388         173456
## 765   N33132    87     1410.1149         122680
## 766   N33182   170      724.1412         123104
## 767   N331NB    59      791.4576          46696
## 768   N331NW   130      908.1538         118060
## 769   N33203    97     1547.6804         150125
## 770   N33209   103     1514.5728         156001
## 771   N33262   126     1303.0952         164190
## 772   N33264   111     1406.0180         156068
## 773   N33266   123     1406.3577         172982
## 774   N33284   115     1413.0174         162497
## 775   N33286   119     1369.6555         162989
## 776   N33289   119     1420.7395         169068
## 777   N33292   123     1512.0325         185980
## 778   N33294   101     1488.1485         150303
## 779   N332AA   328     2386.7500         782854
## 780   N332NB   238      876.0084         208490
## 781   N332NW   105      902.6857          94782
## 782   N333NB   120      882.5583         105907
## 783   N333NW   108      892.8611          96429
## 784   N334JB   324      527.6019         170943
## 785   N334NB   183      879.6612         160978
## 786   N334NW   103      983.3883         101289
## 787   N335AA   385     2362.8468         909696
## 788   N335NB   193      910.9793         175819
## 789   N335NW    99      978.7576          96897
## 790   N336AA   353     2374.1813         838086
## 791   N336AT    16      762.0000          12192
## 792   N336NB   255      849.9725         216743
## 793   N336NW   121      972.1488         117630
## 794   N33714   177     1289.2486         228197
## 795   N337AT    13      762.0000           9906
## 796   N337JB   301      503.0831         151428
## 797   N337NB   165      878.7152         144988
## 798   N337NW   100      989.7600          98976
## 799   N338AA   388     2399.9562         931183
## 800   N338AT    16      762.0000          12192
## 801   N338NB   211      836.0758         176412
## 802   N338NW   114      952.2544         108557
## 803   N339AA   326     2411.4202         786123
## 804   N339JB   333      460.2943         153278
## 805   N339NB   194      959.7990         186201
## 806   N339NW   100      979.1300          97913
## 807   N340LV     2     1238.5000           2477
## 808   N340NB   202      833.9208         168452
## 809   N340NW    74      942.4865          69744
## 810   N34110   138      703.0725          97024
## 811   N34111   174      715.5460         124505
## 812   N34131   109     1654.0275         180289
## 813   N34137    86     1551.1744         133401
## 814   N341NB   139      808.9640         112446
## 815   N341NW   113     1051.7434         118847
## 816   N34222   101     1431.6733         144599
## 817   N34282   102     1468.2745         149764
## 818   N342AA    19     2235.5263          42475
## 819   N342NB   190      851.7579         161834
## 820   N342NW   111      993.5586         110285
## 821   N343AA    13     2240.5385          29127
## 822   N343NB   119      857.0000         101983
## 823   N343NW   108      975.2500         105327
## 824   N34455   106     1614.8491         171174
## 825   N34460    90     1632.5111         146926
## 826   N344AA    13     1595.3846          20740
## 827   N344AT    32      762.0000          24384
## 828   N344NB   179      897.3017         160617
## 829   N344NW    94      999.6170          93964
## 830   N344SW     1      872.0000            872
## 831   N345AA    21     2009.0476          42190
## 832   N345NB   180      850.6722         153121
## 833   N345NW    62     1010.9194          62677
## 834   N345SA     3      769.3333           2308
## 835   N346AA    17     2137.4706          36337
## 836   N346JB   314      482.4363         151485
## 837   N346NB   199      828.0452         164781
## 838   N346SW     3     1057.0000           3171
## 839   N347AA    27     1761.8148          47569
## 840   N347NB   168      829.5179         139359
## 841   N347NW    73     1039.7671          75903
## 842   N347SW     1      872.0000            872
## 843   N348AA    26     2292.7308          59611
## 844   N348JB   348      485.1782         168842
## 845   N348NB   157      831.6497         130569
## 846   N348NW    91      930.8462          84707
## 847   N349AA    19     2297.6316          43655
## 848   N349NB   168      828.8214         139242
## 849   N349NW    92      952.7826          87656
## 850   N349SW     3      763.6667           2291
## 851   N350AA    13     1664.7692          21642
## 852   N350NA    91      928.3846          84483
## 853   N350SW     1      738.0000            738
## 854   N351AA    23     2091.1739          48097
## 855   N351JB   402      474.2711         190657
## 856   N351NB    78      813.4359          63448
## 857   N351NW   114      999.4825         113941
## 858   N35204   119     1554.5462         184991
## 859   N35260   136     1383.6176         188172
## 860   N35271   125     1367.7440         170968
## 861   N352AA    21     2300.8571          48318
## 862   N352NB    42      672.5952          28249
## 863   N352NW    84      950.9643          79881
## 864   N352SW     4     1006.7500           4027
## 865   N353AA    16     2024.6250          32394
## 866   N353AT    21      762.0000          16002
## 867   N353JB   404      510.1238         206090
## 868   N353NB   179      799.1117         143041
## 869   N353NW   105      879.2857          92325
## 870   N353SW     6      980.0000           5880
## 871   N35407   101     1409.0000         142309
## 872   N354AA    25     1927.3200          48183
## 873   N354AT    10      762.0000           7620
## 874   N354JB   333      446.3063         148620
## 875   N354NB    26      816.8077          21237
## 876   N354NW    99      929.2828          91999
## 877   N354SW     4      966.5000           3866
## 878   N355AA    10     1987.2000          19872
## 879   N355JB   282      439.5709         123959
## 880   N355NB   128      835.2656         106914
## 881   N355NW   103     1007.5049         103773
## 882   N355SW     2      818.0000           1636
## 883   N356AA    21     1795.1905          37699
## 884   N356NW   110      985.7000         108427
## 885   N356SW     5      947.6000           4738
## 886   N357AA    28     2036.1786          57013
## 887   N357NB   147      830.0544         122018
## 888   N357NW   116      950.6379         110274
## 889   N357SW     8      946.1250           7569
## 890   N358AA    11     1905.5455          20961
## 891   N358JB   271      453.5941         122924
## 892   N358NB   187      826.9198         154634
## 893   N358NW   108      955.3704         103180
## 894   N358SW     2      805.0000           1610
## 895   N359AA    19     1903.6842          36170
## 896   N359NB   185      801.6865         148312
## 897   N359NW    80     1019.6875          81575
## 898   N359SW     4      660.0000           2640
## 899   N360AA    21     2080.3333          43687
## 900   N360NB   151      896.5298         135376
## 901   N360NW   111     1020.6667         113294
## 902   N360SW     4      970.0000           3880
## 903   N361AA    23     2124.0870          48854
## 904   N361NB   157      864.7707         135769
## 905   N361NW   105     1006.9429         105729
## 906   N361SW     3      998.0000           2994
## 907   N361VA    47     2473.4255         116251
## 908   N36207   115     1514.8348         174206
## 909   N36247   108     1566.5648         169189
## 910   N36272   121     1244.9587         150640
## 911   N36280   113     1450.0885         163860
## 912   N362AA    16     2024.6250          32394
## 913   N362NB    75      757.4400          56808
## 914   N362NW   106     1051.0472         111411
## 915   N362SW     7     1079.5714           7557
## 916   N363AA    17     2128.9412          36192
## 917   N363NB    86      832.7674          71618
## 918   N363NW   113      989.0708         111765
## 919   N363SW     5      807.6000           4038
## 920   N36444   103     1627.4563         167628
## 921   N36447   113     1743.3009         196993
## 922   N36469   102     1808.1765         184434
## 923   N36472    90     1682.3667         151413
## 924   N36476    54     1635.2963          88306
## 925   N364AA    22     2220.3182          48847
## 926   N364NB   199      882.2563         175569
## 927   N364NW   115      985.0609         113282
## 928   N364SW     6      818.3333           4910
## 929   N365AA    32     1743.9375          55806
## 930   N365NB   159      867.9308         138001
## 931   N365NW    97      987.8351          95820
## 932   N365SW     5      953.0000           4765
## 933   N366AA    12     1837.5000          22050
## 934   N366NB   156      828.4103         129232
## 935   N366NW   103      941.5631          96981
## 936   N366SW     6     1024.8333           6149
## 937   N367AA    12     1950.5833          23407
## 938   N367NW   121     1035.1157         125249
## 939   N367SW     2      810.0000           1620
## 940   N368AA    11     1769.4545          19464
## 941   N368JB   230      433.0826          99609
## 942   N368NB   171      824.5205         140993
## 943   N368NW    84      960.3214          80667
## 944   N368SW     5      853.8000           4269
## 945   N36915   228      521.2544         118846
## 946   N369AA    15     2149.4667          32242
## 947   N369NB   187      879.9893         164558
## 948   N369NW    91      980.4505          89221
## 949   N369SW     5      766.6000           3833
## 950   N370AA    19     2113.2632          40152
## 951   N370NB   151      877.9603         132572
## 952   N370NW   123      956.4878         117648
## 953   N370SW     6      892.1667           5353
## 954   N371AA    24     2063.6667          49528
## 955   N371CA   196      551.3418         108063
## 956   N371DA   122     1500.4918         183060
## 957   N371NB   149      831.1074         123835
## 958   N371NW    78      975.4487          76085
## 959   N371SW     5      928.2000           4641
## 960   N37252   123     1515.7886         186442
## 961   N37253    97     1524.5567         147882
## 962   N37255   107     1346.4953         144075
## 963   N37263   130     1292.9231         168080
## 964   N37267   121     1406.2975         170162
## 965   N37273   107     1367.4393         146316
## 966   N37274   121     1340.2975         162176
## 967   N37277    56     1134.3214          63522
## 968   N37281   102     1492.0784         152192
## 969   N37287   124     1574.5565         195245
## 970   N37290   103     1486.6990         153130
## 971   N37293   102     1423.3333         145180
## 972   N37298   146     1427.0205         208345
## 973   N372AA    10     1687.8000          16878
## 974   N372DA    85     1569.2118         133383
## 975   N372NW   114      984.7544         112262
## 976   N372SW     3     1208.6667           3626
## 977   N3730B   121     1514.1488         183212
## 978   N3731T   115     1704.4609         196013
## 979   N3732J   108     1559.6667         168444
## 980   N3733Z   102     1519.0784         154946
## 981   N3734B   112     1677.6964         187902
## 982   N3735D   136     1581.8750         215135
## 983   N3736C   121     1682.9421         203636
## 984   N3737C   113     1557.3717         175983
## 985   N3738B    80     1637.9125         131033
## 986   N3739P   104     1596.2788         166013
## 987   N373AA    15     2358.4000          35376
## 988   N373DA   106     1695.6038         179734
## 989   N373JB   232      367.1207          85172
## 990   N373NW   110      958.0364         105384
## 991   N373SW     8      892.8750           7143
## 992   N37408    90     1485.1222         133661
## 993   N37409    86     1323.8837         113854
## 994   N3740C   123     1528.8293         188046
## 995   N37413   102     1561.3627         159259
## 996   N37419    95     1556.6526         147882
## 997   N3741S   109     1634.4404         178154
## 998   N37420   108     1688.4537         182353
## 999   N37422    98     1672.0102         163857
## 1000  N37427    89     1796.0337         159847
## 1001  N3742C    98     1658.2755         162511
## 1002  N37434   121     1542.6612         186662
## 1003  N37437   101     1604.5545         162060
## 1004  N3743H   142     1661.8592         235984
## 1005  N3744F   140     1696.8071         237553
## 1006  N37456    89     1634.2022         145444
## 1007  N3745B   162     1795.4012         290855
## 1008  N37462    97     1665.4124         161545
## 1009  N37464    88     1590.9886         140007
## 1010  N37465   111     1716.2613         190505
## 1011  N37466    99     1628.2020         161192
## 1012  N37468   102     1509.8333         154003
## 1013  N3746H   124     1889.4032         234286
## 1014  N37470    79     1706.2785         134796
## 1015  N37471   100     1824.0000         182400
## 1016  N37474    73     1566.3699         114345
## 1017  N3747D   142     1739.9648         247075
## 1018  N3748Y   124     1754.5887         217569
## 1019  N3749D   157     1754.6115         275474
## 1020  N374AA    15     1887.4000          28311
## 1021  N374DA   102     1604.0000         163608
## 1022  N374JB   236      414.5000          97822
## 1023  N374NW   115      935.5304         107586
## 1024  N374SW     6      914.3333           5486
## 1025  N3750D   142     1856.0141         263554
## 1026  N3751B   134     1804.6418         241822
## 1027   N3752   147     1847.1497         271531
## 1028   N3753   130     1791.0538         232837
## 1029  N3754A   158     1774.0949         280307
## 1030  N3755D   107     1741.2523         186314
## 1031   N3756   130     1890.9385         245822
## 1032  N3757D   140     1816.1714         254264
## 1033  N3758Y   166     1837.4217         305012
## 1034   N3759   125     1773.2480         221656
## 1035  N375AA    13     1653.6154          21497
## 1036  N375DA    96     1650.5417         158452
## 1037  N375JB    58      551.6379          31995
## 1038  N375NC    85      991.5765          84284
## 1039  N375SW     9      792.3333           7131
## 1040  N3760C   127     1739.6772         220939
## 1041  N3761R   131     1806.1603         236607
## 1042  N3762Y   131     1815.9847         237894
## 1043  N3763D   119     1729.6555         205829
## 1044  N3764D   169     1777.2426         300354
## 1045   N3765   132     1713.9545         226242
## 1046   N3766   115     1765.8957         203078
## 1047   N3767   146     1807.8630         263948
## 1048   N3768   127     1880.3858         238809
## 1049  N3769L   162     1857.1235         300854
## 1050  N376AA    20     2063.1500          41263
## 1051  N376DA    76     1677.5789         127496
## 1052  N376NW   135      974.8148         131600
## 1053  N376SW     5      883.2000           4416
## 1054  N37700   159     1852.4528         294540
## 1055  N3771K   116     1752.9138         203338
## 1056  N3772H   157     1780.6688         279565
## 1057  N3773D   146     1752.3562         255844
## 1058  N377AA    25     2161.2400          54031
## 1059  N377DA    99     1619.3535         160316
## 1060  N377NW   112      884.9554          99115
## 1061  N378AA    13     1779.9231          23139
## 1062  N378DA   100     1609.4100         160941
## 1063  N378NW   133      913.9850         121560
## 1064  N378SW     7      939.2857           6575
## 1065  N379AA    13     1884.3077          24496
## 1066  N379DA    88     1559.1136         137202
## 1067  N379SW     7      934.0000           6538
## 1068  N380AA    19     2113.2632          40152
## 1069  N380DA   109     1631.8257         177869
## 1070  N380HA    40     4983.0000         199320
## 1071  N380SW     3     1051.6667           3155
## 1072  N381AA    22     2035.2727          44776
## 1073  N381DN   102     1630.8529         166347
## 1074  N381HA    25     4983.0000         124575
## 1075  N38257   111     1487.0541         165063
## 1076  N38268   117     1414.6838         165518
## 1077  N382AA    17     2121.0000          36057
## 1078  N382DA   115     1619.2261         186211
## 1079  N382HA    26     4983.0000         129558
## 1080  N382SW     9      836.3333           7527
## 1081  N383AA    25     1921.7200          48043
## 1082  N383DN   119     1480.7563         176210
## 1083  N383HA    26     4983.0000         129558
## 1084  N383SW     4      791.5000           3166
## 1085  N38403    72     1374.0556          98932
## 1086  N38417    70     1462.3714         102366
## 1087  N38424   103     1679.7476         173014
## 1088  N38443   107     1464.0561         156654
## 1089  N38446   104     1601.9423         166602
## 1090  N38451    97     1619.1443         157057
## 1091  N38454   104     1773.6442         184459
## 1092  N38458    92     1517.8261         139640
## 1093  N38459   109     1619.4312         176518
## 1094  N38467    89     1610.1236         143301
## 1095  N38473    71     1848.1127         131216
## 1096  N384AA    10     2136.9000          21369
## 1097  N384DA    94     1608.0319         151155
## 1098  N384HA    33     4983.0000         164439
## 1099  N384SW     5     1055.4000           5277
## 1100  N385AA    20     1987.2000          39744
## 1101  N385DN   104     1648.4519         171439
## 1102  N385HA    28     4983.0000         139524
## 1103  N386AA    23     2065.3043          47502
## 1104  N386DA   100     1592.3400         159234
## 1105  N386HA    25     4983.0000         124575
## 1106  N386SW     7      852.7143           5969
## 1107  N38727   172     1272.5174         218873
## 1108  N387AA    16     1819.6875          29115
## 1109  N387DA    84     1489.5119         125119
## 1110  N387SW     5      890.6000           4453
## 1111  N388AA    18     1787.3889          32173
## 1112  N388DA   104     1574.2115         163718
## 1113  N388HA    36     4983.0000         179388
## 1114  N388SW     7      834.0000           5838
## 1115  N389AA     9     2225.4444          20029
## 1116  N389DA   134     1516.5224         203214
## 1117  N389HA    32     4983.0000         159456
## 1118  N389SW     7      795.1429           5566
## 1119  N390AA    14     1944.4286          27222
## 1120  N390DA   102     1608.4412         164061
## 1121  N390HA    20     4983.0000          99660
## 1122  N390SW    11      835.2727           9188
## 1123  N391AA    12     2211.7500          26541
## 1124  N391CA   148      562.6149          83267
## 1125  N391DA   101     1461.7129         147633
## 1126  N391HA    21     4983.0000         104643
## 1127  N391SW     4      936.5000           3746
## 1128  N39297   106     1428.8396         151457
## 1129  N392AA    14     2077.7143          29088
## 1130  N392DA   112     1556.5089         174329
## 1131  N392HA    13     4983.0000          64779
## 1132  N392SW     5      953.0000           4765
## 1133  N393AA    23     2189.3913          50356
## 1134  N393DA    86     1587.0465         136486
## 1135  N393HA    10     4983.0000          49830
## 1136  N39415   101     1728.2673         174555
## 1137  N39416   109     1723.6330         187876
## 1138  N39418   105     1630.5714         171210
## 1139  N39423   101     1710.4554         172756
## 1140  N39450    91     1676.2198         152536
## 1141  N39461   107     1611.6729         172449
## 1142  N39463   107     1587.8972         169905
## 1143  N39475    69     1628.8986         112394
## 1144  N394AA    18     1996.0556          35929
## 1145  N394DA    91     1697.1538         154441
## 1146  N394DL     4      837.2500           3349
## 1147  N394SW     6      863.5000           5181
## 1148  N395AA     8     2211.7500          17694
## 1149  N395DN   108     1499.2778         161922
## 1150  N395HA     7     4983.0000          34881
## 1151  N395SW     4      791.5000           3166
## 1152  N396AA    21     1873.1429          39336
## 1153  N396DA    95     1669.7474         158626
## 1154  N396SW     7      980.0000           6860
## 1155  N39726   167     1380.3533         230519
## 1156  N39728   195     1307.3949         254942
## 1157  N397AA    20     1762.6500          35253
## 1158  N397DA   116     1665.5690         193206
## 1159  N397SW     5      748.8000           3744
## 1160  N398AA    19     2192.0526          41649
## 1161  N398CA   174      561.1897          97647
## 1162  N398DA   116     1693.2414         196416
## 1163  N398SW     6      890.1667           5341
## 1164  N399AA    25     1987.2000          49680
## 1165  N399DA   120     1611.3167         193358
## 1166  N399WN     3      818.3333           2455
## 1167  N3AAAA    74     1061.8378          78576
## 1168  N3ABAA    64     1094.3750          70040
## 1169  N3ACAA    87     1188.1034         103365
## 1170  N3ADAA    62     1108.9032          68752
## 1171  N3AEAA    58     1254.8276          72780
## 1172  N3AEMQ   276      655.8986         181028
## 1173  N3AFAA    63     1085.3651          68378
## 1174  N3AGAA    51     1245.3922          63515
## 1175  N3AHAA    59     1266.1356          74702
## 1176  N3AJAA    62     1151.3548          71384
## 1177  N3AKAA    73     1242.6575          90714
## 1178  N3ALAA    63     1078.1746          67925
## 1179  N3AMAA    72     1130.5000          81396
## 1180  N3ANAA    76     1123.2632          85368
## 1181  N3APAA    63     1175.2063          74038
## 1182  N3ARAA    71     1021.5915          72533
## 1183  N3ASAA    62     1186.1613          73542
## 1184  N3ATAA    62     1217.2903          75472
## 1185  N3AUAA    67     1279.9104          85754
## 1186  N3AVAA    62     1144.3387          70949
## 1187  N3AWAA    61     1213.9836          74053
## 1188  N3AXAA    63     1015.8095          63996
## 1189  N3AYAA    68     1100.6324          74843
## 1190  N3BAAA    77     1242.3117          95658
## 1191  N3BBAA    61     1176.8689          71789
## 1192  N3BCAA    83     1091.8916          90627
## 1193  N3BDAA    85     1290.8824         109725
## 1194  N3BEAA    48     1250.8125          60039
## 1195  N3BFAA    64     1248.4219          79899
## 1196  N3BGAA    68     1299.4412          88362
## 1197  N3BHAA    88     1195.3068         105187
## 1198  N3BJAA    55     1236.0909          67985
## 1199  N3BKAA    76     1177.0000          89452
## 1200  N3BLAA    66     1222.5000          80685
## 1201  N3BMAA    23     1229.5217          28279
## 1202  N3BNAA    43     1098.6977          47244
## 1203  N3BPAA    78     1113.7821          86875
## 1204  N3BRAA    84     1195.9167         100457
## 1205  N3BSAA    54     1268.0185          68473
## 1206  N3BTAA    46     1359.5435          62539
## 1207  N3BUAA    72     1418.5278         102134
## 1208  N3BVAA   100     1193.1200         119312
## 1209  N3BWAA    80     1289.5750         103166
## 1210  N3BXAA    68     1262.6029          85857
## 1211  N3BYAA    81     1188.0494          96232
## 1212  N3CAAA    70     1138.1143          79668
## 1213  N3CBAA    62     1374.0323          85190
## 1214  N3CCAA    82     1261.7683         103465
## 1215  N3CDAA    69     1232.3043          85029
## 1216  N3CEAA    74     1211.4054          89644
## 1217  N3CFAA   103     1301.4272         134047
## 1218  N3CGAA    79     1249.0380          98674
## 1219  N3CHAA    78     1261.6538          98409
## 1220  N3CJAA    56     1109.2857          62120
## 1221  N3CKAA    66     1259.1212          83102
## 1222  N3CLAA    68     1359.9706          92478
## 1223  N3CMAA    62     1214.6129          75306
## 1224  N3CNAA    68     1246.4559          84759
## 1225  N3CPAA    70     1292.2857          90460
## 1226  N3CRAA    73     1204.3288          87916
## 1227  N3CSAA    68     1244.1618          84603
## 1228  N3CTAA    60     1230.3167          73819
## 1229  N3CUAA    48      998.2292          47915
## 1230  N3CVAA    38     1009.7105          38369
## 1231  N3CWAA    68     1157.6912          78723
## 1232  N3CXAA    52      972.6731          50579
## 1233  N3CYAA    71     1179.2394          83726
## 1234  N3DAAA    43     1085.8140          46690
## 1235  N3DBAA    70     1228.2857          85980
## 1236  N3DCAA    51     1183.4510          60356
## 1237  N3DDAA    66     1147.5606          75739
## 1238  N3DEAA    65     1181.0308          76767
## 1239  N3DFAA    45     1220.2222          54910
## 1240  N3DGAA    60     1244.5333          74672
## 1241  N3DHAA    35      985.5714          34495
## 1242  N3DJAA    44     1358.6591          59781
## 1243  N3DLAA    60      949.8167          56989
## 1244  N3DMAA    76     1161.2368          88254
## 1245  N3DNAA    47     1147.8085          53947
## 1246  N3DPAA    63     1230.0000          77490
## 1247  N3DRAA    99     1217.5354         120536
## 1248  N3DSAA    91     1168.7912         106360
## 1249  N3DTAA    67     1153.6567          77295
## 1250  N3DUAA    70     1130.5429          79138
## 1251  N3DVAA    71     1229.0423          87262
## 1252  N3DWAA    71     1245.1690          88407
## 1253  N3DXAA    70     1209.0286          84632
## 1254  N3DYAA    62     1156.7742          71720
## 1255  N3EAAA    57     1268.9649          72331
## 1256  N3EBAA    79     1211.5696          95714
## 1257  N3ECAA    57     1251.3684          71328
## 1258  N3EDAA    55     1236.3455          67999
## 1259  N3EEAA    88     1130.0114          99441
## 1260  N3EFAA    58     1133.6897          65754
## 1261  N3EGAA    56     1128.6607          63205
## 1262  N3EHAA    74     1227.0946          90805
## 1263  N3EJAA    72     1114.5833          80250
## 1264  N3EKAA    45     1186.7778          53405
## 1265  N3ELAA    63     1124.2063          70825
## 1266  N3EMAA    69     1246.6087          86016
## 1267  N3ENAA    65     1322.3692          85954
## 1268  N3EPAA    58     1201.2586          69673
## 1269  N3ERAA    66     1197.0606          79006
## 1270  N3ESAA    69     1283.3478          88551
## 1271  N3ETAA    60     1093.1833          65591
## 1272  N3EUAA    56     1210.5714          67792
## 1273  N3EVAA    88     1168.1932         102801
## 1274  N3EWAA    72     1128.3056          81238
## 1275  N3EXAA    65     1274.2308          82825
## 1276  N3EYAA   105     1275.9905         133979
## 1277  N3FAAA    79     1218.4810          96260
## 1278  N3FBAA    74     1299.4730          96161
## 1279  N3FCAA    54     1287.8333          69543
## 1280  N3FDAA    77     1240.1818          95494
## 1281  N3FEAA    66     1304.8939          86123
## 1282  N3FFAA    68     1213.2059          82498
## 1283  N3FGAA    53     1287.0000          68211
## 1284  N3FHAA    82     1198.2927          98260
## 1285  N3FJAA    98     1129.5306         110694
## 1286  N3FKAA    80     1284.8750         102790
## 1287  N3FLAA    67     1246.8209          83537
## 1288  N3FMAA    75     1255.0533          94129
## 1289  N3FNAA    63     1343.0159          84610
## 1290  N3FPAA    59     1154.2712          68102
## 1291  N3FRAA    65     1119.2154          72749
## 1292  N3FSAA    77     1135.5974          87441
## 1293  N3FTAA    87     1166.2184         101461
## 1294  N3FUAA    97     1242.7010         120542
## 1295  N3FVAA    50     1248.9200          62446
## 1296  N3FWAA    84     1223.4286         102768
## 1297  N3FXAA    86     1210.3372         104089
## 1298  N3FYAA    86     1235.4070         106245
## 1299  N3GAAA    83     1265.1566         105008
## 1300  N3GBAA    60     1192.7500          71565
## 1301  N3GCAA   101     1219.9109         123211
## 1302  N3GDAA    74     1127.8649          83462
## 1303  N3GEAA    80     1151.5625          92125
## 1304  N3GFAA    96     1183.5104         113617
## 1305  N3GGAA    72     1232.1667          88716
## 1306  N3GHAA    74     1233.5000          91279
## 1307  N3GJAA    65     1208.0462          78523
## 1308  N3GKAA    77     1246.5974          95988
## 1309  N3GLAA    93     1162.0215         108068
## 1310  N3GMAA    69     1235.0290          85217
## 1311  N3GNAA    59     1228.0339          72454
## 1312  N3GPAA    63     1125.6667          70917
## 1313  N3GRAA    79     1339.6709         105834
## 1314  N3GSAA    85     1124.0941          95548
## 1315  N3GTAA    60     1241.0500          74463
## 1316  N3GUAA    77     1205.5455          92827
## 1317  N3GVAA    73     1204.1233          87901
## 1318  N3GWAA    70     1184.2429          82897
## 1319  N3GXAA    81     1163.7407          94263
## 1320  N3GYAA    60     1328.8167          79729
## 1321  N3HAAA    69     1186.1014          81841
## 1322  N3HBAA    79     1278.7848         101024
## 1323  N3HCAA    81     1262.6543         102275
## 1324  N3HDAA    68     1149.8824          78192
## 1325  N3HEAA    80     1213.2750          97062
## 1326  N3HFAA    62     1287.5806          79830
## 1327  N3HGAA    81     1164.3210          94310
## 1328  N3HHAA    52     1172.7885          60985
## 1329  N3HJAA    78     1246.0897          97195
## 1330  N3HKAA    56     1300.8929          72850
## 1331  N3HLAA    60     1275.8167          76549
## 1332  N3HMAA    79     1141.4430          90174
## 1333  N3HNAA    74     1244.0811          92062
## 1334  N3HPAA    48     1166.2083          55978
## 1335  N3HRAA    81     1196.0864          96883
## 1336  N3HSAA    69     1212.3478          83652
## 1337  N3HTAA    58     1201.3621          69679
## 1338  N3HUAA    51     1093.3333          55760
## 1339  N3HVAA    55     1312.1636          72169
## 1340  N3HWAA    82     1286.3049         105477
## 1341  N3HXAA    70     1333.3429          93334
## 1342  N3HYAA    68     1380.0882          93846
## 1343  N3JAAA    60     1153.5333          69212
## 1344  N3JBAA    56     1163.6250          65163
## 1345  N3JCAA    69     1254.8261          86583
## 1346  N3JDAA    80     1228.5500          98284
## 1347  N3JEAA    48     1239.4375          59493
## 1348  N3JFAA    68     1294.2206          88007
## 1349  N3JGAA    57     1251.7368          71349
## 1350  N3JHAA    74     1238.9865          91685
## 1351  N3JJAA    87     1263.3563         109912
## 1352  N3JKAA    53     1205.9057          63913
## 1353  N3JLAA    78     1293.3846         100884
## 1354  N3JMAA    57     1322.2982          75371
## 1355  N3JNAA    64     1262.6562          80810
## 1356  N3JPAA   102     1163.9020         118718
## 1357  N3JRAA    71     1163.0000          82573
## 1358  N3JSAA    72     1156.5278          83270
## 1359  N3JTAA    78     1289.5769         100587
## 1360  N3JUAA    72     1183.4583          85209
## 1361  N3JVAA    72     1132.1806          81517
## 1362  N3JWAA    73     1138.2192          83090
## 1363  N3JXAA    58     1295.7069          75151
## 1364  N3JYAA    56     1238.6964          69367
## 1365  N3KAAA    63     1150.3810          72474
## 1366  N3KBAA    59     1209.2712          71347
## 1367  N3KCAA    67     1161.1940          77800
## 1368  N3KDAA    64     1099.7188          70382
## 1369  N3KEAA    67     1243.2239          83296
## 1370  N3KFAA    57     1210.2632          68985
## 1371  N3KGAA    52     1281.3654          66631
## 1372  N3KHAA    58     1156.0862          67053
## 1373  N3KJAA    71     1238.4507          87930
## 1374  N3KKAA    58     1173.6552          68072
## 1375  N3KLAA    45     1349.1111          60710
## 1376  N3KMAA    60     1300.6500          78039
## 1377  N3KNAA    40     1079.8000          43192
## 1378  N3KPAA    48     1195.6875          57393
## 1379  N3KRAA    40     1246.7750          49871
## 1380  N3KSAA    35     1175.7714          41152
## 1381  N3KTAA    41     1256.2683          51507
## 1382  N3KUAA    15      980.5333          14708
## 1383  N3KVAA    30     1099.9000          32997
## 1384  N3KWAA    25     1391.6800          34792
## 1385  N3KXAA    26     1193.8462          31040
## 1386  N3KYAA    31     1250.0000          38750
## 1387  N3LAAA    13     1176.0769          15289
## 1388  N3LBAA    24     1314.8750          31557
## 1389  N3LDAA     1     2422.0000           2422
## 1390  N3LEAA     4     1169.2500           4677
## 1391  N3LFAA     1     1096.0000           1096
## 1392  N3LGAA     2      733.0000           1466
## 1393  N400WN    23     1006.7826          23156
## 1394  N401UA    70     1151.8000          80626
## 1395  N401WN    28      962.3214          26945
## 1396  N402AS    47     2402.0000         112894
## 1397  N402UA   121     1150.3719         139195
## 1398  N402WN    37     1120.7838          41469
## 1399  N403AA    39      963.2051          37565
## 1400  N403AS    51     2402.0000         122502
## 1401  N403UA   110     1248.6000         137346
## 1402  N403WN    17      966.9412          16438
## 1403  N404UA    85     1191.8235         101305
## 1404  N404WN    35     1112.1429          38925
## 1405  N405UA   110     1197.7818         131756
## 1406  N405WN    26      899.9231          23398
## 1407  N406UA   103     1218.0000         125454
## 1408  N406US     9      532.3333           4791
## 1409  N406WN    22     1280.6364          28174
## 1410  N407AS    41     2402.0000          98482
## 1411  N407UA    79     1287.6835         101727
## 1412  N407WN    28      813.4286          22776
## 1413  N408AS    35     2402.0000          84070
## 1414  N408UA   100     1220.9800         122098
## 1415  N408WN    28     1111.7500          31129
## 1416  N409AS    39     2402.0000          93678
## 1417  N409UA    90     1282.7889         115451
## 1418  N409US     7      531.1429           3718
## 1419  N409WN    28     1039.1429          29096
## 1420  N410UA    98     1321.8061         129537
## 1421  N410WN    25     1005.4800          25137
## 1422  N41104   118      788.0932          92995
## 1423  N41135   107     1596.1308         170786
## 1424  N41140    94     1525.1489         143364
## 1425  N411UA   119     1125.8151         133972
## 1426  N411WN    25      995.4400          24886
## 1427  N412UA   105     1225.5524         128683
## 1428  N412WN    22      805.0909          17712
## 1429  N413AS    28     2402.0000          67256
## 1430  N413UA   104     1273.0865         132401
## 1431  N413WN    26     1008.3846          26218
## 1432  N414UA    87     1260.4713         109661
## 1433  N414WN    27      968.7037          26155
## 1434  N415UA    99     1240.1717         122777
## 1435  N415WN    26      926.4231          24087
## 1436  N416UA    96     1229.6979         118051
## 1437  N416WN    22      977.5000          21505
## 1438  N417UA    80     1302.3125         104185
## 1439  N417WN    29      963.5862          27944
## 1440  N418UA    93     1366.3333         127069
## 1441  N418WN    22     1218.0000          26796
## 1442  N419AS    32     2402.0000          76864
## 1443  N419UA    95     1194.6000         113487
## 1444  N419US     7      529.0000           3703
## 1445  N419WN    21      934.0476          19615
## 1446  N420UA    86     1474.0581         126769
## 1447  N420US     5      529.0000           2645
## 1448  N420WN    25     1014.6000          25365
## 1449  N421LV    29     1049.2414          30428
## 1450  N421UA   110     1235.4273         135897
## 1451  N422UA   106     1311.5283         139022
## 1452  N422WN    27      915.0000          24705
## 1453  N423AS    29     2402.0000          69658
## 1454  N423UA    94     1223.5532         115014
## 1455  N423WN    28      978.3214          27393
## 1456  N424AA    44      960.5909          42266
## 1457  N424UA    94     1309.2766         123072
## 1458  N424WN    24     1019.5417          24469
## 1459  N425AA    43      975.9070          41964
## 1460  N425LV    23      987.3043          22708
## 1461  N425UA    87     1162.9195         101174
## 1462  N426AA    52     1053.6923          54792
## 1463  N426UA    95     1246.7158         118438
## 1464  N426US     6      531.5000           3189
## 1465  N426WN    33     1051.5455          34701
## 1466  N427SW     1      488.0000            488
## 1467  N427UA    98     1211.1429         118692
## 1468  N427US     3      529.0000           1587
## 1469  N427WN    24     1065.2500          25566
## 1470  N428UA    90     1242.5111         111826
## 1471  N428WN    38     1104.1316          41957
## 1472  N429UA   108     1195.4537         129109
## 1473  N429WN    27      919.8519          24836
## 1474  N430UA    95     1214.2632         115355
## 1475  N430US     3      529.0000           1587
## 1476  N430WN    25      919.4800          22987
## 1477  N431AS     8     2402.0000          19216
## 1478  N431UA   104     1140.6154         118624
## 1479  N431WN    34      941.6765          32017
## 1480  N432UA    75     1302.1467          97661
## 1481  N432US     4      529.0000           2116
## 1482  N432WN    40     1036.0500          41442
## 1483  N433AA    22     1003.0000          22066
## 1484  N433AS     7     2402.0000          16814
## 1485  N433LV    31     1007.2581          31225
## 1486  N433UA    79     1177.3165          93008
## 1487  N433US     8      529.0000           4232
## 1488  N434AA    43      968.3023          41637
## 1489  N434UA   106     1213.0660         128585
## 1490  N434US     9      530.6667           4776
## 1491  N434WN    33     1025.6364          33846
## 1492  N435AA    33      903.5455          29817
## 1493  N435AS     4     2402.0000           9608
## 1494  N435UA   100     1235.1700         123517
## 1495  N435US     6      529.0000           3174
## 1496  N435WN    25     1089.8400          27246
## 1497  N436AA    45      925.6222          41653
## 1498  N436UA    96     1161.6667         111520
## 1499  N436WN    28     1096.8929          30713
## 1500  N437AA    46      987.1087          45407
## 1501  N437UA    95     1235.5474         117377
## 1502  N437WN    34      984.8235          33484
## 1503  N438AA    48      939.8542          45113
## 1504  N438UA    84     1396.9524         117344
## 1505  N438US    11      529.0000           5819
## 1506  N438WN    23     1100.1739          25304
## 1507  N439AA    53     1026.5283          54406
## 1508  N439UA   113     1233.4159         139376
## 1509  N439US     5      529.0000           2645
## 1510  N439WN    24      968.0417          23233
## 1511  N440AS     8     2402.0000          19216
## 1512  N440LV    23     1002.6957          23062
## 1513  N440UA   106     1328.6132         140833
## 1514  N440US     5      529.0000           2645
## 1515  N441UA    96     1356.0729         130183
## 1516  N441US     2      529.0000           1058
## 1517  N441WN    26      936.8077          24357
## 1518  N442AS     5     2402.0000          12010
## 1519  N442UA    96     1267.6250         121692
## 1520  N442US     5      529.0000           2645
## 1521  N442WN    27     1003.9259          27106
## 1522  N443UA    96     1311.7812         125931
## 1523  N443US     7      529.0000           3703
## 1524  N443WN    23     1013.6087          23313
## 1525  N444UA    95     1236.7053         117487
## 1526  N444US     7      529.0000           3703
## 1527  N444WN    33     1096.6667          36190
## 1528  N445UA    95     1218.1158         115721
## 1529  N445US     6      529.0000           3174
## 1530  N445WN    30      989.9667          29699
## 1531  N446UA    96     1305.2917         125308
## 1532  N446WN    18      914.6667          16464
## 1533  N447UA   106     1279.2358         135599
## 1534  N447WN    31     1033.9677          32053
## 1535  N448UA    91     1276.6593         116176
## 1536  N448WN    21     1092.1429          22935
## 1537  N449UA   131     1183.2519         155006
## 1538  N449US     5      529.0000           2645
## 1539  N449WN    32     1044.4375          33422
## 1540  N450UW     6      529.0000           3174
## 1541  N450WN    36     1014.7778          36532
## 1542  N451UA    93     1188.3118         110513
## 1543  N451UW     1      529.0000            529
## 1544  N451WN    34     1044.4118          35510
## 1545  N452UA    98     1315.8776         128956
## 1546  N452UW     7      531.1429           3718
## 1547  N452WN    27      971.5185          26231
## 1548  N453UA   125     1218.1360         152267
## 1549  N453UW     7      529.0000           3703
## 1550  N453WN    38     1065.7632          40499
## 1551  N45440   107     1713.3178         183325
## 1552  N454AA    68      966.8088          65743
## 1553  N454UA    96     1350.7604         129673
## 1554  N454WN    29     1107.6207          32121
## 1555  N455AA    41     1026.9512          42105
## 1556  N455UA   101     1268.5743         128126
## 1557  N455UW    10      530.5000           5305
## 1558  N455WN    24     1010.0000          24240
## 1559  N456AA    40      917.7000          36708
## 1560  N456UA    95     1253.3579         119069
## 1561  N456UW     1      529.0000            529
## 1562  N456WN    38      978.7368          37192
## 1563  N457UA   102     1277.9314         130349
## 1564  N457UW     9      530.6667           4776
## 1565  N457WN    24     1133.4583          27203
## 1566  N458UA    98     1232.6327         120798
## 1567  N458WN    34     1027.2647          34927
## 1568  N45905     2     1400.0000           2800
## 1569  N459UA   107     1172.8131         125491
## 1570  N459UW     6      531.5000           3189
## 1571  N459WN    28      956.2857          26776
## 1572  N460UA    91     1119.8132         101903
## 1573  N460UW     6      529.0000           3174
## 1574  N460WN    36      999.2500          35973
## 1575  N461UA   109     1332.7706         145272
## 1576  N461WN    18      889.5556          16012
## 1577  N462UA   116     1315.6724         152618
## 1578  N462WN    27      934.0741          25220
## 1579  N463UA   103     1296.7184         133562
## 1580  N463WN    25     1004.8000          25120
## 1581  N464UA    90     1154.0778         103867
## 1582  N464WN    30     1045.6000          31368
## 1583  N465UA   126     1348.5714         169920
## 1584  N465WN    24     1015.2500          24366
## 1585  N466AA    55     1025.5455          56405
## 1586  N466UA    96     1204.6146         115643
## 1587  N466WN    38      990.0000          37620
## 1588  N467AA    49      870.0408          42632
## 1589  N467UA   111     1198.4505         133028
## 1590  N467WN    29      963.7586          27949
## 1591  N468AA    59      956.5593          56437
## 1592  N468UA    72     1201.7500          86526
## 1593  N468WN    27      924.7778          24969
## 1594  N469AA    37      957.4595          35426
## 1595  N469UA    98     1125.2551         110275
## 1596  N469WN    31      847.6774          26278
## 1597  N470AA    45      875.3333          39390
## 1598  N470UA    93     1247.0215         115973
## 1599  N470WN    24      966.4583          23195
## 1600  N471AA    53     1003.6604          53194
## 1601  N471UA    97     1233.2680         119627
## 1602  N472AA    31     1080.5484          33497
## 1603  N472UA    95     1350.5684         128304
## 1604  N472WN    29     1025.3103          29734
## 1605  N473AA    51      964.1961          49174
## 1606  N473UA    96     1201.9271         115385
## 1607  N473WN    29      926.9310          26881
## 1608  N47414    92     1668.9239         153541
## 1609  N474AA    54      933.1111          50388
## 1610  N474UA   104     1316.8558         136953
## 1611  N474WN    33      969.5152          31994
## 1612  N475AA    50      938.8000          46940
## 1613  N475UA   112     1324.7411         148371
## 1614  N475WN    30      981.7000          29451
## 1615  N476AA    50     1063.8000          53190
## 1616  N476UA    91     1205.4396         109695
## 1617  N476WN    31     1059.4516          32843
## 1618  N477AA    37     1046.1081          38706
## 1619  N477UA    81     1178.3457          95446
## 1620  N477WN    41     1072.6098          43977
## 1621  N478AA    47      883.1915          41510
## 1622  N478UA   111     1271.0090         141082
## 1623  N478WN    31      984.3548          30515
## 1624  N479AA    34     1026.0294          34885
## 1625  N479UA   110     1254.9818         138048
## 1626  N479WN    27      886.8889          23946
## 1627  N480AA    56      846.6964          47415
## 1628  N480UA   109     1295.1009         141166
## 1629  N480WN    38     1063.0000          40394
## 1630  N48127    93     1673.5591         155641
## 1631  N481AA    39      960.9744          37478
## 1632  N481UA   106     1226.1981         129977
## 1633  N481WN    34      921.8824          31344
## 1634  N482AA    71      931.3944          66129
## 1635  N482UA   106     1347.9906         142887
## 1636  N482WN    36      959.6667          34548
## 1637  N483AA    45     1023.8000          46071
## 1638  N483UA   101     1236.0099         124837
## 1639  N483WN    18     1088.9444          19601
## 1640  N484AA    37      971.9189          35961
## 1641  N484UA    90     1301.2111         117109
## 1642  N484WN    21      964.6667          20258
## 1643  N485AA    34     1018.8529          34641
## 1644  N485UA    93     1155.9140         107500
## 1645  N485WN    26     1145.1923          29775
## 1646  N486AA    47     1028.3617          48333
## 1647  N486UA    91     1274.7473         116002
## 1648  N486WN    29     1003.1379          29091
## 1649  N487AA    65     1011.4000          65741
## 1650  N487UA   122     1357.4016         165603
## 1651  N487WN    34     1046.8235          35592
## 1652  N488AA    57     1030.1404          58718
## 1653  N488UA    98     1326.0204         129950
## 1654  N488WN    31     1045.4516          32409
## 1655  N48901   231      531.2900         122728
## 1656  N489AA    46      957.0652          44025
## 1657  N489UA    85     1284.6941         109199
## 1658  N489WN    27      969.4444          26175
## 1659  N490AA    49      985.2857          48279
## 1660  N490UA    95     1319.2316         125327
## 1661  N490WN    23     1122.6522          25821
## 1662  N491AA    48      967.1875          46425
## 1663  N491UA   117     1296.2137         151657
## 1664  N491WN    38     1151.2105          43746
## 1665  N492AA    44      981.7727          43198
## 1666  N492UA    90     1249.7778         112480
## 1667  N492WN    29     1019.7241          29572
## 1668  N493AA    46      935.4565          43031
## 1669  N493UA   105     1325.2476         139151
## 1670  N493WN    30     1005.6667          30170
## 1671  N494AA    43      977.0930          42015
## 1672  N494UA   107     1320.0841         141249
## 1673  N494WN    26     1016.8462          26438
## 1674  N495UA   116     1196.4397         138787
## 1675  N495WN    20      971.8000          19436
## 1676  N496AA    41      957.0000          39237
## 1677  N496UA   113     1298.7788         146762
## 1678  N496WN    25     1079.5600          26989
## 1679  N497UA   109     1298.0550         141488
## 1680  N497WN    29      993.7931          28820
## 1681  N498UA   104     1215.7788         126441
## 1682  N498WN    26      851.6923          22144
## 1683  N499AA    44      962.9545          42370
## 1684  N499WN    29      924.3793          26807
## 1685  N4UBAA    45     1015.7333          45708
## 1686  N4UCAA    59     1031.7627          60874
## 1687  N4WAAA    52      964.4038          50149
## 1688  N4WJAA    46      970.2609          44632
## 1689  N4WKAA    56      987.7143          55312
## 1690  N4WLAA    60      920.3167          55219
## 1691  N4WMAA    52      929.9038          48355
## 1692  N4WNAA    54      943.6481          50957
## 1693  N4WPAA    49      951.7959          46638
## 1694  N4WRAA    21     1010.0952          21212
## 1695  N4WSAA    43      979.1628          42104
## 1696  N4WTAA    48      951.6250          45678
## 1697  N4WVAA    43     1020.0930          43864
## 1698  N4WWAA    17      949.2941          16138
## 1699  N4WYAA     3     1389.0000           4167
## 1700  N4XBAA    55      913.5273          50244
## 1701  N4XCAA    45      864.2000          38889
## 1702  N4XDAA    56      979.6429          54860
## 1703  N4XEAA    53      935.6038          49587
## 1704  N4XFAA    51      965.2745          49229
## 1705  N4XGAA    63      896.0317          56450
## 1706  N4XHAA    53      895.8679          47481
## 1707  N4XJAA    44     1052.4545          46308
## 1708  N4XKAA    39      997.2821          38894
## 1709  N4XLAA    62      960.8065          59570
## 1710  N4XMAA    69      961.9710          66376
## 1711  N4XNAA    51      965.2353          49227
## 1712  N4XPAA    49     1005.3469          49262
## 1713  N4XRAA    49      947.2041          46413
## 1714  N4XSAA    41      925.4146          37942
## 1715  N4XTAA    65      912.8000          59332
## 1716  N4XUAA    44      853.4773          37553
## 1717  N4XVAA    58      952.1034          55222
## 1718  N4XWAA    26     1083.6923          28176
## 1719  N4XXAA    57      908.9474          51810
## 1720  N4XYAA    52      982.6923          51100
## 1721  N4YAAA    51     1016.0196          51817
## 1722  N4YBAA    54     1016.9630          54916
## 1723  N4YCAA    60      964.9333          57896
## 1724  N4YDAA    64      907.8125          58100
## 1725  N4YEAA    56      927.2500          51926
## 1726  N4YFAA    61      987.4754          60236
## 1727  N4YGAA    50     1015.4400          50772
## 1728  N4YHAA    43      949.0000          40807
## 1729  N4YJAA    62      921.5645          57137
## 1730  N4YKAA    41     1024.0000          41984
## 1731  N4YLAA    40     1094.3250          43773
## 1732  N4YMAA    53      984.1887          52162
## 1733  N4YNAA    70      981.1143          68678
## 1734  N4YPAA    57      921.3860          52519
## 1735  N4YRAA    50      916.0400          45802
## 1736  N4YSAA    48      932.2500          44748
## 1737  N4YTAA    53      882.1698          46755
## 1738  N4YUAA    42      873.9762          36707
## 1739  N500MQ   237      650.4599         154159
## 1740  N501AA    55      990.0727          54454
## 1741  N501MJ    15      229.0000           3435
## 1742  N501MQ   250      713.9240         178481
## 1743  N501US     3      762.0000           2286
## 1744  N502AA    47     1011.1064          47522
## 1745  N502MJ    15      229.0000           3435
## 1746  N502MQ   282      667.1206         188128
## 1747  N502SW     1      872.0000            872
## 1748  N502UA   286     2539.4266         726276
## 1749  N503AA    57      933.4912          53209
## 1750  N503JB   268     1331.2836         356784
## 1751  N503MJ    16      229.0000           3664
## 1752  N503MQ   191      669.8429         127940
## 1753  N503UA    81     1831.1728         148325
## 1754  N503US     3      762.0000           2286
## 1755  N504AA    43     1017.6744          43760
## 1756  N504JB   286     1308.9895         374371
## 1757  N504MJ    13      229.0000           2977
## 1758  N504MQ   271      683.6605         185272
## 1759  N504UA   114     1779.8684         202905
## 1760  N505AA    45      893.7333          40218
## 1761  N505JB   270     1314.6519         354956
## 1762  N505MJ    17      229.0000           3893
## 1763  N505MQ   242      670.3182         162217
## 1764  N505SW     1      185.0000            185
## 1765  N505UA   282     2542.3085         716931
## 1766  N506AA    10     1054.2000          10542
## 1767  N506AS     9     2402.0000          21618
## 1768  N506JB   242     1341.6074         324669
## 1769  N506MJ    12      229.0000           2748
## 1770  N506MQ   284      678.2289         192617
## 1771  N506SW     7      949.0000           6643
## 1772  N506UA    38     1733.1316          65859
## 1773  N507AY    42     1769.1905          74306
## 1774  N507JB   284     1339.7007         380475
## 1775  N507MJ    21      229.0000           4809
## 1776  N507MQ   264      648.0114         171075
## 1777  N507UA    84     1697.8214         142617
## 1778  N507US     3      756.6667           2270
## 1779  N508AA    42     1042.9524          43804
## 1780  N508AS     8     2402.0000          19216
## 1781  N508AY    56     1750.0000          98000
## 1782  N508JB   291     1302.2577         378957
## 1783  N508MJ    10      229.0000           2290
## 1784  N508MQ   298      641.0738         191040
## 1785  N508SW     6      872.0000           5232
## 1786  N508UA   238     2551.9538         607365
## 1787  N509AA     1     1389.0000           1389
## 1788  N509AY    49     1659.3469          81308
## 1789  N509JB   324     1268.5247         411002
## 1790  N509MJ    18      229.0000           4122
## 1791  N509MQ   241      651.7012         157060
## 1792  N509SW     3      823.0000           2469
## 1793  N509UA    98     1739.1429         170436
## 1794  N510JB   297     1333.0168         395906
## 1795  N510MJ    19      229.0000           4351
## 1796  N510MQ   299      667.7826         199667
## 1797  N510SW     1      872.0000            872
## 1798  N510UA   248     2544.2056         630963
## 1799  N510UW    48     1716.4167          82388
## 1800  N511AA    14      882.2143          12351
## 1801  N511MJ    14      229.0000           3206
## 1802  N511MQ   287      675.5226         193875
## 1803  N511SW     2      810.0000           1620
## 1804  N511UA   109     1834.5688         199968
## 1805  N512AA    32      994.5938          31827
## 1806  N512AS     6     2402.0000          14412
## 1807  N512MJ    15      229.0000           3435
## 1808  N512MQ   226      663.9956         150063
## 1809  N512SW     2      872.0000           1744
## 1810  N512UA   281     2540.9680         714012
## 1811  N513AA    42      966.1190          40577
## 1812  N513AS     5     2402.0000          12010
## 1813  N513MJ    19      229.0000           4351
## 1814  N513MQ   287      633.6481         181857
## 1815  N513UA   102     1825.3529         186186
## 1816  N514AA    44      974.6818          42886
## 1817  N514AS     3     2402.0000           7206
## 1818  N514MJ    12      229.0000           2748
## 1819  N514MQ   253      647.4822         163813
## 1820  N514SW     2      872.0000           1744
## 1821  N514UA    89     1823.8427         162322
## 1822  N515AA    29     1116.3793          32375
## 1823  N515MJ    16      229.0000           3664
## 1824  N515MQ   241      665.9253         160488
## 1825  N515SW     3      872.0000           2616
## 1826  N515UA    81     1807.6667         146421
## 1827  N516AA    27     1036.7407          27992
## 1828  N516AS     5     2402.0000          12010
## 1829  N516JB   288     1248.5590         359585
## 1830  N516LR    16      229.0000           3664
## 1831  N516MQ   269      640.2714         172233
## 1832  N516UA    68     1679.5000         114206
## 1833  N517AA    17     1082.4118          18401
## 1834  N517AS     2     2402.0000           4804
## 1835  N517JB   285     1328.4000         378594
## 1836  N517MQ   259      663.0965         171742
## 1837  N517UA    34     2550.0882          86703
## 1838  N518AA    14     1109.2143          15529
## 1839  N518AS     2     2402.0000           4804
## 1840  N518LR    14      229.0000           3206
## 1841  N518MQ   319      651.8025         207925
## 1842  N518UA   237     2547.1266         603669
## 1843  N519AA    38      982.4474          37333
## 1844  N519AS     5     2402.0000          12010
## 1845  N519JB   264     1312.3977         346473
## 1846  N519LR    18      229.0000           4122
## 1847  N519MQ   246      642.7967         158128
## 1848  N519UA    90     1718.1111         154630
## 1849  N519US     4      762.0000           3048
## 1850  N519UW    46     1802.1304          82898
## 1851  N520AA    51      953.6667          48637
## 1852  N520AS     5     2402.0000          12010
## 1853  N520JB   284     1331.7782         378225
## 1854  N520MQ   306      655.2124         200495
## 1855  N520UA    91     1747.1319         158989
## 1856  N520UW    52     1688.0000          87776
## 1857  N521AA    35     1069.4000          37429
## 1858  N521JB   263     1276.1825         335636
## 1859  N521LR    17      229.0000           3893
## 1860  N521MQ   296      629.5169         186337
## 1861  N521SW     1      872.0000            872
## 1862  N521UA    75     1789.8667         134240
## 1863  N521US     7      798.8571           5592
## 1864  N521UW    56     1663.6429          93164
## 1865  N521VA    27     2536.2222          68478
## 1866  N522AA    40      967.3250          38693
## 1867  N522LR    14      229.0000           3206
## 1868  N522MQ   300      660.4800         198144
## 1869  N522SW     2      872.0000           1744
## 1870  N522UA    94     1805.5957         169726
## 1871  N522US     5     1093.6000           5468
## 1872  N522VA    32     2526.8438          80859
## 1873  N523AS     7     2402.0000          16814
## 1874  N523JB   321     1366.6885         438707
## 1875  N523MQ   334      679.3892         226916
## 1876  N523SW     2      872.0000           1744
## 1877  N523UA   100     1705.1200         170512
## 1878  N523US     8      758.0000           6064
## 1879  N523UW    39     1698.3333          66235
## 1880  N523VA    28     2522.1429          70620
## 1881  N524AS     9     2402.0000          21618
## 1882  N524JB   279     1461.7634         407832
## 1883  N524MQ   244      632.2951         154280
## 1884  N524SW     2      872.0000           1744
## 1885  N524UA   116     1781.5862         206664
## 1886  N524UW    49     1584.2041          77626
## 1887  N524VA    28     2521.3929          70599
## 1888  N525AA    43     1013.2326          43569
## 1889  N525AS     6     2402.0000          14412
## 1890  N525MQ   314      655.4299         205805
## 1891  N525SW     2      798.5000           1597
## 1892  N525UA   227     2547.8590         578364
## 1893  N525US     3      762.0000           2286
## 1894  N525VA    31     2504.1290          77628
## 1895  N526AA    52      985.3077          51236
## 1896  N526AS     9     2402.0000          21618
## 1897  N526JB   276     1302.6594         359534
## 1898  N526MQ   297      658.3805         195539
## 1899  N526SW     2      872.0000           1744
## 1900  N526UA    93     1805.9785         167956
## 1901  N526VA    28     2517.4286          70488
## 1902  N527AA    32      938.5312          30033
## 1903  N527AS     4     2402.0000           9608
## 1904  N527JB   270     1372.8037         370657
## 1905  N527MQ   317      661.7760         209783
## 1906  N527SW     2      872.0000           1744
## 1907  N527UA    25     1679.0800          41977
## 1908  N527VA    37     2536.1351          93837
## 1909  N528AA    54      985.8704          53237
## 1910  N528AS     5     2402.0000          12010
## 1911  N528MQ   346      647.3584         223986
## 1912  N528UA    98     1880.0918         184249
## 1913  N528VA    23     2516.7391          57885
## 1914  N529AA    26      942.7692          24512
## 1915  N529AS     4     2402.0000           9608
## 1916  N529JB   288     1370.6076         394735
## 1917  N529UA   117     1729.5299         202355
## 1918  N529VA    34     2535.6176          86211
## 1919  N530AA    38     1023.7895          38904
## 1920  N530AS     8     2402.0000          19216
## 1921  N530MQ   302      658.1556         198763
## 1922  N530UA   104     1727.2596         179635
## 1923  N530US     5      762.0000           3810
## 1924  N530VA    35     2514.2571          87999
## 1925  N531AS     5     2402.0000          12010
## 1926  N531JB   252     1340.0357         337689
## 1927  N531MQ   349      662.3295         231153
## 1928  N531US     6      718.6667           4312
## 1929  N532AS    10     2402.0000          24020
## 1930  N532MQ   340      642.1265         218323
## 1931  N532UA    75     2554.9200         191619
## 1932  N532US     2      762.0000           1524
## 1933  N533AS     8     2402.0000          19216
## 1934  N533UA    94     1645.3404         154662
## 1935  N533US     5      755.6000           3778
## 1936  N53441   102     1661.2745         169450
## 1937  N53442   108     1643.0370         177448
## 1938  N534AS     2     2402.0000           4804
## 1939  N534JB   282     1293.5816         364790
## 1940  N534MQ   364      669.9808         243873
## 1941  N534UA    92     1596.2609         146856
## 1942  N534US     7      798.8571           5592
## 1943  N534UW    47     1775.7234          83459
## 1944  N535AS     4     2402.0000           9608
## 1945  N535JB   261     1437.7050         375241
## 1946  N535MQ   264      678.4129         179101
## 1947  N535UA    98     1658.3367         162517
## 1948  N535UW    60     1669.4000         100164
## 1949  N536AA     4      935.7500           3743
## 1950  N536AS     1     2402.0000           2402
## 1951  N536JB   268     1283.0784         343865
## 1952  N536UA    96     1814.1250         174156
## 1953  N536UW    81      558.4938          45238
## 1954  N537AA    36     1048.0833          37731
## 1955  N537AS     3     2402.0000           7206
## 1956  N537JB   286     1262.5490         361089
## 1957  N537MQ   289      687.3529         198645
## 1958  N537UA    93     1798.8495         167293
## 1959  N537UW    84      577.2024          48485
## 1960  N538AA    36     1070.1389          38525
## 1961  N538AS     3     2402.0000           7206
## 1962  N538CA    44      683.9318          30093
## 1963  N538UA   106     1761.9528         186767
## 1964  N538UW    82      537.6341          44086
## 1965  N539AA    72      941.5833          67794
## 1966  N539MQ   288      673.5590         193985
## 1967  N539UA    94     1774.7128         166823
## 1968  N539US     3      762.0000           2286
## 1969  N539UW    96      555.4167          53320
## 1970  N540AA    38     1012.0000          38456
## 1971  N540UA    87     1776.2529         154534
## 1972  N540US    11      760.5455           8366
## 1973  N540UW    85      537.6824          45703
## 1974  N541AA    46     1006.9565          46320
## 1975  N541UA    71     1753.1408         124473
## 1976  N541US     5      762.0000           3810
## 1977  N541UW    39     1615.1538          62991
## 1978  N54241   108     1347.1481         145492
## 1979  N542AA    70     1036.8857          72582
## 1980  N542MQ   363      671.7713         243853
## 1981  N542US     6      762.0000           4572
## 1982  N542UW    62     1633.0000         101246
## 1983  N543AA    47     1005.9574          47280
## 1984  N543MQ   202      685.4307         138457
## 1985  N543UA    25     1930.6800          48267
## 1986  N543US     4      762.0000           3048
## 1987  N543UW    82      537.7439          44095
## 1988  N544AA    63      970.8730          61165
## 1989  N544MQ   254      679.1417         172502
## 1990  N544UA    30     2126.5333          63796
## 1991  N544UW    53     1696.7736          89929
## 1992  N545AA    43     1038.9535          44675
## 1993  N545UA    34     2174.3529          73928
## 1994  N545UW    52     1595.0000          82940
## 1995  N546AA    51      988.2941          50403
## 1996  N546AS    13     2402.0000          31226
## 1997  N546MQ   248      683.7298         169565
## 1998  N546UA    82     2447.2683         200676
## 1999  N546UW    53     1605.5283          85093
## 2000  N54711   148     1366.2905         202211
## 2001  N547AA    63      963.1587          60679
## 2002  N547JB   285     1371.3860         390845
## 2003  N547UA    33     1945.9394          64216
## 2004  N547US     2      762.0000           1524
## 2005  N547UW    60     1696.2667         101776
## 2006  N548AA    49     1051.8776          51542
## 2007  N548AS    14     2402.0000          33628
## 2008  N548UA    26     1986.1923          51641
## 2009  N548US     8      947.7500           7582
## 2010  N548UW    52     1688.0577          87779
## 2011  N549AA    28      974.1071          27275
## 2012  N549AS    16     2402.0000          38432
## 2013  N549UA    23     2147.4783          49392
## 2014  N549US     5     1104.6000           5523
## 2015  N549UW    52     1874.0000          97448
## 2016  N550AA    30      850.9667          25529
## 2017  N550NW     7      762.0000           5334
## 2018  N550UA    14     1783.0000          24962
## 2019  N550UW    58     1652.7241          95858
## 2020  N550WN    23     1088.7826          25042
## 2021  N551AA    40      953.5750          38143
## 2022  N551AS    22     2402.0000          52844
## 2023  N551NW     7      762.0000           5334
## 2024  N551UA    38     1894.1053          71976
## 2025  N551UW    59     1633.8814          96399
## 2026  N551WN    24     1057.5000          25380
## 2027  N552AA    30      961.5000          28845
## 2028  N552AS    17     2402.0000          40834
## 2029  N552JB   311     1309.0096         407102
## 2030  N552NW     4      762.0000           3048
## 2031  N552UA    24     1832.2083          43973
## 2032  N552UW    54     1585.8148          85634
## 2033  N552WN    22     1116.0455          24553
## 2034  N553AA    52      937.5000          48750
## 2035  N553AS    18     2402.0000          43236
## 2036  N553NW     5      762.0000           3810
## 2037  N553UA   122     1738.8279         212137
## 2038  N553UW    41     1445.2927          59257
## 2039  N553WN    18      950.3889          17107
## 2040  N554AA    57      984.4035          56111
## 2041  N554JB   303     1332.6469         403792
## 2042  N554NW     8      969.5000           7756
## 2043  N554UA   241     2545.0083         613347
## 2044  N554UW    88      539.0568          47437
## 2045  N554WN    28     1237.2857          34644
## 2046  N555AA    43      972.3023          41809
## 2047  N555AY    67      539.0746          36118
## 2048  N555LV    31     1084.1613          33609
## 2049  N555NW    10      762.0000           7620
## 2050  N555UA   232     2548.2026         591183
## 2051  N556AA    51     1023.1373          52180
## 2052  N556AS    12     2402.0000          28824
## 2053  N556JB   301     1275.4950         383924
## 2054  N556NW     6      762.0000           4572
## 2055  N556UA    97     1768.3608         171531
## 2056  N556UW    77      538.9740          41501
## 2057  N556WN    37      969.5946          35875
## 2058  N557AA    44     1000.5909          44026
## 2059  N557AS     1     2402.0000           2402
## 2060  N557NW    10     1250.4000          12504
## 2061  N557UA   259     2548.2857         660006
## 2062  N557UW    62      616.0968          38198
## 2063  N558AA    38      953.2895          36225
## 2064  N558AS     6     2402.0000          14412
## 2065  N558JB   310     1385.7226         429574
## 2066  N558UA    95     1829.5263         173805
## 2067  N558UW    81      538.8519          43647
## 2068  N559AA    57      882.0175          50275
## 2069  N559AS     7     2402.0000          16814
## 2070  N559JB   265     1383.9358         366743
## 2071  N559UA    97     1916.9381         185943
## 2072  N559UW    91      536.7473          48844
## 2073  N560AA    37      961.6486          35581
## 2074  N560AS     1     2402.0000           2402
## 2075  N560UA   273     2543.3077         694323
## 2076  N560UW    69      560.9710          38707
## 2077  N561AA    41     1016.3902          41672
## 2078  N561JB   301     1307.5116         393561
## 2079  N561UA   103     1778.7087         183207
## 2080  N561UW    85      539.0235          45817
## 2081  N562AS     2     2402.0000           4804
## 2082  N562JB   315     1243.7810         391791
## 2083  N562UA    86     1813.1744         155933
## 2084  N562UW    83      538.1446          44666
## 2085  N563AS     7     2402.0000          16814
## 2086  N563JB   274     1351.6350         370348
## 2087  N563UA   114     1825.5789         208116
## 2088  N563UW    60      537.7500          32265
## 2089  N564AA    59      987.5763          58267
## 2090  N564AS     3     2402.0000           7206
## 2091  N564JB   286     1338.8112         382900
## 2092  N564UA   106     1804.8113         191310
## 2093  N564UW    86      536.7442          46160
## 2094  N565AA    41      956.6341          39222
## 2095  N565AS     3     2402.0000           7206
## 2096  N565JB   267     1336.6067         356874
## 2097  N565UA    93     1846.6559         171739
## 2098  N565UW    91      554.9890          50504
## 2099  N566AA    36     1057.6944          38077
## 2100  N566AS     8     2402.0000          19216
## 2101  N566JB   261     1324.0345         345573
## 2102  N566UA   111     1676.3423         186074
## 2103  N566UW    87      537.0000          46719
## 2104  N567AA    63      933.6032          58817
## 2105  N567UA   105     1730.5905         181712
## 2106  N567UW    41      536.8293          22010
## 2107  N56859    40     1848.4250          73937
## 2108  N568AA    44      967.2500          42559
## 2109  N568AS     5     2402.0000          12010
## 2110  N568JB   295     1248.0881         368186
## 2111  N568UA   110     2064.9091         227140
## 2112  N568UW    23      539.8261          12416
## 2113  N569AA    44      984.8636          43334
## 2114  N569AS     1     2402.0000           2402
## 2115  N569JB   207     1316.9179         272602
## 2116  N569UA    84     1772.8452         148919
## 2117  N569UW    25      538.3600          13459
## 2118  N57016     1     2454.0000           2454
## 2119  N570AA    63      918.8095          57885
## 2120  N570AS     5     2402.0000          12010
## 2121  N570JB   284     1313.3028         372978
## 2122  N570UA    95     1645.4737         156320
## 2123  N570UW     6     1884.3333          11306
## 2124  N57111    84     1718.3333         144340
## 2125  N571AA    53      972.4151          51538
## 2126  N571JB   256     1316.8125         337104
## 2127  N571UA    86     1759.4070         151309
## 2128  N571UW    12     1884.3333          22612
## 2129  N572UA    77     1938.3506         149253
## 2130  N572UW     2     2153.0000           4306
## 2131  N573AA    50      922.1600          46108
## 2132  N573UA   105     1782.8476         187199
## 2133  N57439   103     1738.2039         179035
## 2134  N574AA    36      978.5556          35228
## 2135  N574UA    96     1695.0938         162729
## 2136  N575AA    39     1140.7179          44488
## 2137  N575UA    89     1844.8202         164189
## 2138  N576AA    54     1064.5370          57485
## 2139  N576UA    94     1779.1596         167241
## 2140  N577AA    28     1084.5000          30366
## 2141  N577AS     3     2402.0000           7206
## 2142  N577UA    94     1789.8404         168245
## 2143  N57852    51     2123.7059         108309
## 2144  N57855    47     2057.2340          96690
## 2145  N57857    32     1985.2500          63528
## 2146  N57862    12     1802.6667          21632
## 2147  N57863    14     1778.7143          24902
## 2148  N57864    13     2388.9231          31056
## 2149  N57868    16     1980.8125          31693
## 2150  N57869    13     2006.6154          26086
## 2151  N57870     9     1815.5556          16340
## 2152  N578AA    45     1062.2000          47799
## 2153  N578UA   108     1617.2593         174664
## 2154  N579AA    51      935.0980          47690
## 2155  N579AS     2     2402.0000           4804
## 2156  N579JB   264     1278.2652         337462
## 2157  N579UA   103     1847.0194         190243
## 2158  N580AA    41      940.5854          38564
## 2159  N580JB   271     1339.3284         362958
## 2160  N580UA    87     1813.0000         157731
## 2161  N58101    82     1430.0732         117266
## 2162  N581AA    35      967.3143          33856
## 2163  N581AS     8     2402.0000          19216
## 2164  N581UA    57     1807.5088         103028
## 2165  N582AA    59     1017.9831          60061
## 2166  N582CA    41      608.4634          24947
## 2167  N583AA    63      908.9365          57263
## 2168  N583AS     2     2402.0000           4804
## 2169  N583JB   278     1472.8237         409445
## 2170  N584AA    64      991.7031          63469
## 2171  N584AS     7     2402.0000          16814
## 2172  N584JB   309     1315.5631         406509
## 2173  N584UA    62     1876.0000         116312
## 2174  N585AA    43      973.4884          41860
## 2175  N585AS     2     2402.0000           4804
## 2176  N585JB   308     1324.1851         407849
## 2177  N585UA   105     1757.1714         184503
## 2178  N586AA    46     1093.2609          50290
## 2179  N586AS     2     2402.0000           4804
## 2180  N586JB   283     1329.1025         376136
## 2181  N586UA    67     1733.6567         116155
## 2182  N587AA    46     1040.4565          47861
## 2183  N587AS     8     2402.0000          19216
## 2184  N587JB   295     1288.8034         380197
## 2185  N587NW     1      762.0000            762
## 2186  N587UA   103     2071.0777         213321
## 2187  N588JB   267     1294.5993         345658
## 2188  N588UA   145     2277.2000         330194
## 2189  N589AA    50      925.6400          46282
## 2190  N589AS     2     2402.0000           4804
## 2191  N589JB   306     1218.1209         372745
## 2192  N589UA   174     2474.5805         430577
## 2193  N59053    23     3828.8696          88064
## 2194  N590AA    40      860.3250          34413
## 2195  N590AS     4     2402.0000           9608
## 2196  N590JB   325     1308.9846         425420
## 2197  N590NW     1      762.0000            762
## 2198  N590UA    92     2501.3152         230121
## 2199  N591AA    51      883.9804          45083
## 2200  N591JB   285     1333.6491         380090
## 2201  N592AA    58      913.3793          52976
## 2202  N592AS     6     2402.0000          14412
## 2203  N592JB   296     1334.8480         395115
## 2204  N592UA    48     1869.8333          89752
## 2205  N593AA    51      999.4118          50970
## 2206  N593AS     2     2402.0000           4804
## 2207  N593JB   294     1284.4184         377619
## 2208  N593UA    86     1826.3372         157065
## 2209  N594AA    50      925.3000          46265
## 2210  N594AS     6     2402.0000          14412
## 2211  N594JB   297     1331.1987         395366
## 2212  N594NW     1      509.0000            509
## 2213  N594UA   109     1645.2569         179333
## 2214  N595AA    54      942.4259          50891
## 2215  N595JB   316     1336.6171         422371
## 2216  N595NW     1      762.0000            762
## 2217  N595UA   201     2468.4478         496158
## 2218  N59630     4     1404.0000           5616
## 2219  N596AA    50      992.3400          49617
## 2220  N596AS     5     2402.0000          12010
## 2221  N596UA   230     2531.7652         582306
## 2222  N597AA    47      991.6809          46609
## 2223  N597AS     4     2402.0000           9608
## 2224  N597JB   274     1259.9124         345216
## 2225  N597UA   180     2483.6667         447060
## 2226  N598AA    58      906.8621          52598
## 2227  N598JB   304     1320.5395         401444
## 2228  N598UA   127     2490.2598         316263
## 2229  N599AA    62      951.9032          59018
## 2230  N599JB   312     1290.4744         402628
## 2231  N5BRAA    40     1334.3000          53372
## 2232  N5BSAA    34     1368.9706          46545
## 2233  N5BTAA    42     1336.0714          56115
## 2234  N5BVAA    32     1313.1250          42020
## 2235  N5BYAA    39     1294.7436          50495
## 2236  N5CAAA    31     1399.9032          43397
## 2237  N5CBAA    35     1320.6286          46222
## 2238  N5CCAA    30     1312.8333          39385
## 2239  N5CDAA    42     1397.6190          58700
## 2240  N5CEAA    20     1266.3500          25327
## 2241  N5CFAA    33     1243.7879          41045
## 2242  N5CGAA    43     1276.3953          54885
## 2243  N5CHAA    36     1371.6944          49381
## 2244  N5CKAA    31     1305.6774          40476
## 2245  N5CLAA    17     1298.5294          22075
## 2246  N5CNAA    20     1175.5000          23510
## 2247  N5CPAA    32     1467.0000          46944
## 2248  N5CRAA    39     1275.7436          49754
## 2249  N5CSAA    28     1251.8571          35052
## 2250  N5CYAA    11     1192.9091          13122
## 2251  N5DAAA    16     1238.5000          19816
## 2252  N5DBAA    11     1313.4545          14448
## 2253  N5DCAA    16     1332.3125          21317
## 2254  N5DDAA    26     1430.1923          37185
## 2255  N5DEAA     5     1467.2000           7336
## 2256  N5DFAA     7     1120.2857           7842
## 2257  N5DHAA     6     1319.3333           7916
## 2258  N5DJAA     1     1089.0000           1089
## 2259  N5DKAA     2     1837.5000           3675
## 2260  N5DLAA    17     1265.7059          21517
## 2261  N5DMAA    33     1242.3939          40999
## 2262  N5DNAA    28     1275.0714          35702
## 2263  N5DPAA    12     1324.9167          15899
## 2264  N5DRAA    12     1313.8333          15766
## 2265  N5DSAA    29     1369.6897          39721
## 2266  N5DTAA    41     1270.2439          52080
## 2267  N5DUAA    39     1339.6667          52247
## 2268  N5DVAA    27     1301.9630          35153
## 2269  N5DWAA    34     1205.7353          40995
## 2270  N5DXAA    26     1198.0000          31148
## 2271  N5DYAA    34     1295.3529          44042
## 2272  N5EAAA    40     1512.3500          60494
## 2273  N5EBAA    29     1347.2759          39071
## 2274  N5ECAA     1     1085.0000           1085
## 2275  N5EDAA     5     1642.6000           8213
## 2276  N5EEAA    40     1385.8250          55433
## 2277  N5EFAA    33     1238.4545          40869
## 2278  N5EGAA    41     1524.3415          62498
## 2279  N5EHAA    34     1482.6765          50411
## 2280  N5EJAA    21     1311.8571          27549
## 2281  N5EKAA    23     1247.8696          28701
## 2282  N5ELAA    33     1352.3939          44629
## 2283  N5EMAA    38     1283.4211          48770
## 2284  N5ENAA    27     1330.4074          35921
## 2285  N5EPAA    19     1180.9474          22438
## 2286  N5ERAA     1     2475.0000           2475
## 2287  N5ESAA     2     1089.0000           2178
## 2288  N5ETAA   125     1318.5760         164822
## 2289  N5EUAA   102     1263.0294         128829
## 2290  N5EVAA    89     1331.1910         118476
## 2291  N5EWAA   105     1333.6476         140033
## 2292  N5EXAA   109     1297.5413         141432
## 2293  N5EYAA   114     1314.7368         149880
## 2294  N5FAAA   117     1318.9744         154320
## 2295  N5FBAA     4     1434.5000           5738
## 2296  N5FCAA     1     1089.0000           1089
## 2297  N5FDAA     1     1089.0000           1089
## 2298  N5FEAA    97     1265.6804         122771
## 2299  N5FFAA    80     1271.2250         101698
## 2300  N5FGAA    70     1308.6286          91604
## 2301  N5FHAA    94     1299.6064         122163
## 2302  N5FJAA    84     1312.2024         110225
## 2303  N5FKAA   105     1305.0095         137026
## 2304  N5FLAA    72     1293.2083          93111
## 2305  N5FMAA   109     1314.4128         143271
## 2306  N5FNAA   101     1315.1386         132829
## 2307  N5FPAA   104     1226.6250         127569
## 2308  N5FRAA    72     1315.3056          94702
## 2309  N5FSAA   100     1320.8900         132089
## 2310  N5FTAA   102     1357.0196         138416
## 2311  N5PBMQ   283      658.4770         186349
## 2312  N600LR   257      626.4125         160988
## 2313  N600MQ    17      399.4706           6791
## 2314  N600QX   188      575.2128         108140
## 2315  N600TR     2      488.0000            976
## 2316  N600WN     5      891.8000           4459
## 2317  N601AW    66     1405.8485          92786
## 2318  N601LR   227      667.9383         151622
## 2319  N601MQ    38      479.1579          18208
## 2320  N601WN     2     1141.5000           2283
## 2321  N601XJ    48      375.8125          18039
## 2322  N602AW    48     1767.9167          84860
## 2323  N602DL    34     1195.3824          40643
## 2324  N602LR   274      590.1715         161707
## 2325  N602MQ    13      457.3846           5946
## 2326  N602SW     7      933.5714           6535
## 2327  N602XJ    41      373.1707          15300
## 2328  N603AT    34      686.8529          23353
## 2329  N603DL    49      887.2245          43474
## 2330  N603JB   311     1290.7781         401432
## 2331  N603MQ    25      570.9200          14273
## 2332  N603SW     7      850.8571           5956
## 2333  N604AW    67     1609.4627         107834
## 2334  N604DL    30      934.9333          28048
## 2335  N604LR   231      665.7273         153783
## 2336  N604MQ    29      461.9655          13397
## 2337  N604QX   128      560.4375          71736
## 2338  N604SW    12      799.8333           9598
## 2339  N605JB   257     1328.0156         341300
## 2340  N605LR   275      623.9709         171592
## 2341  N605MQ    10      566.1000           5661
## 2342  N605QX   136      564.2647          76740
## 2343  N605SW     6      778.8333           4673
## 2344  N606JB   314     1262.6210         396463
## 2345  N606LR    36      637.7778          22960
## 2346  N606MQ    20      419.3000           8386
## 2347  N606SW     4      926.2500           3705
## 2348  N607AT    46      666.7826          30672
## 2349  N607JB   295     1337.0407         394427
## 2350  N607LR    34      605.5882          20590
## 2351  N607MQ    19      448.9474           8530
## 2352  N607SW     7      815.8571           5711
## 2353  N608AT    28      643.8214          18027
## 2354  N608DA    11      949.4545          10444
## 2355  N608JB   302     1304.7384         394031
## 2356  N608MQ     6      600.1667           3601
## 2357  N608QX   209      587.6938         122828
## 2358  N608SW     2      791.5000           1583
## 2359  N609DL    30     1177.6667          35330
## 2360  N609MQ     8      501.0000           4008
## 2361  N609SW     5     1068.8000           5344
## 2362  N610DL    22     1171.2727          25768
## 2363  N610MQ    28      501.8929          14053
## 2364  N610WN     4     1061.0000           4244
## 2365  N611MQ    22      462.2727          10170
## 2366  N611QX   188      578.0160         108667
## 2367  N611SW     6     1018.0000           6108
## 2368  N612AA    20     1334.7500          26695
## 2369  N612DL    57      819.9825          46739
## 2370  N612JB   285     1268.1895         361434
## 2371  N612MQ    29      498.6897          14462
## 2372  N612QX   201      555.7413         111704
## 2373  N612SW     2      724.5000           1449
## 2374  N613AA    31     1260.5806          39078
## 2375  N613DL    20     1090.2500          21805
## 2376  N613JB   326     1345.5368         438645
## 2377  N613MQ    22      496.8182          10930
## 2378  N613SW     2      791.5000           1583
## 2379  N614DL    20     1265.0000          25300
## 2380  N614MQ    12      430.3333           5164
## 2381  N614QX   184      564.3424         103839
## 2382  N614SW     6      746.6667           4480
## 2383  N615AA    22     1326.0455          29173
## 2384  N615DL    24     1338.0000          32112
## 2385  N615JB   249     1460.6627         363705
## 2386  N615MQ    34      477.5588          16237
## 2387  N615QX   222      555.7703         123381
## 2388  N615SW     6      968.3333           5810
## 2389  N616DL    61     1042.5246          63594
## 2390  N616MQ    21      441.9048           9280
## 2391  N616SW     5      748.6000           3743
## 2392  N617AA    30     1369.9667          41099
## 2393  N617DL    59      915.2373          53999
## 2394  N617MQ    34      508.9706          17305
## 2395  N617SW     3      818.3333           2455
## 2396  N618AA    23     1293.2609          29745
## 2397  N618DL    56      906.3393          50755
## 2398  N618JB   312     1344.0288         419337
## 2399  N618MQ    45      462.8222          20827
## 2400  N618WN     6      854.0000           5124
## 2401  N619AA    24     1339.2083          32141
## 2402  N619MQ    26      423.0769          11000
## 2403  N619SW     3      637.6667           1913
## 2404  N620MQ    40      513.3750          20535
## 2405  N620SW     9      836.1111           7525
## 2406  N621AA    45     1363.2444          61346
## 2407  N621JB   315     1398.5714         440550
## 2408  N621MQ    25      417.2800          10432
## 2409  N621SW     3     1075.0000           3225
## 2410  N621VA   156     2507.9038         391233
## 2411  N622AA    37     1263.5405          46751
## 2412  N622AW     1     2133.0000           2133
## 2413  N622MQ    16      548.9375           8783
## 2414  N622SW     5      818.2000           4091
## 2415  N622VA   128     2495.8594         319470
## 2416  N623AA    38     1525.5263          57970
## 2417  N623DL    48      862.0833          41380
## 2418  N623JB   284     1337.8979         379963
## 2419  N623MQ    25      492.0800          12302
## 2420  N623SW     4      966.5000           3866
## 2421  N623VA   118     2502.6271         295310
## 2422  N624AA    29     1433.8966          41583
## 2423  N624AG   300     2395.9967         718799
## 2424  N624AW     1      541.0000            541
## 2425  N624JB   276     1276.0181         352181
## 2426  N624MQ    21      479.8571          10077
## 2427  N624SW     5      955.0000           4775
## 2428  N624VA   126     2502.7302         315344
## 2429  N625AA    28     1512.9286          42362
## 2430  N625AW     1      529.0000            529
## 2431  N625JB   275     1463.5709         402482
## 2432  N625MQ    20      490.1000           9802
## 2433  N625SW    10      747.0000           7470
## 2434  N625VA   134     2499.4478         334926
## 2435  N62631    11     1343.7273          14781
## 2436  N626AW     1      541.0000            541
## 2437  N626MQ    15      395.9333           5939
## 2438  N626SW     7      849.0000           5943
## 2439  N626VA   152     2499.6250         379943
## 2440  N627AW     1      541.0000            541
## 2441  N627DL    52      820.0385          42642
## 2442  N627JB   235     1448.6468         340432
## 2443  N627MQ    46      430.3261          19795
## 2444  N627SW     5      786.0000           3930
## 2445  N627VA   120     2500.7083         300085
## 2446  N628AA    32     1341.3125          42922
## 2447  N628AW     2     2133.0000           4266
## 2448  N628MQ    27      455.6667          12303
## 2449  N628SW     5      956.2000           4781
## 2450  N628VA   146     2499.2260         364887
## 2451  N629JB   263     1265.5285         332834
## 2452  N629MQ    22      440.6364           9694
## 2453  N629SW     5     1062.8000           5314
## 2454  N629VA   128     2503.1172         320399
## 2455  N630AA    48     1347.6875          64689
## 2456  N630JB   301     1331.2824         400716
## 2457  N630MQ    23      488.8696          11244
## 2458  N630VA   125     2503.2800         312910
## 2459  N630WN     6      915.3333           5492
## 2460  N631AA    45     1427.3333          64230
## 2461  N631AW     1     2133.0000           2133
## 2462  N631MQ    31      499.7097          15491
## 2463  N631VA   142     2503.0704         355436
## 2464  N632AW     1      541.0000            541
## 2465  N632JB   272     1452.7353         395144
## 2466  N632MQ    19      500.0526           9501
## 2467  N632SW     7      633.5714           4435
## 2468  N632VA   111     2513.7477         279026
## 2469  N633AA    24     1587.0417          38089
## 2470  N633AW     1      529.0000            529
## 2471  N633DL    66     1061.5455          70062
## 2472  N633JB   293     1371.9283         401975
## 2473  N633MQ    15      557.8667           8368
## 2474  N633SW     9      930.2222           8372
## 2475  N633VA   130     2510.1538         326320
## 2476  N634AA    35     1556.8286          54489
## 2477  N634JB   281     1301.2562         365653
## 2478  N634MQ    16      424.8125           6797
## 2479  N634SW     2      729.5000           1459
## 2480  N634VA   128     2497.2578         319649
## 2481  N635AA    29     1344.6207          38994
## 2482  N635DL    63      999.5238          62970
## 2483  N635JB   268     1348.5597         361414
## 2484  N635MQ    33      448.5152          14801
## 2485  N635SW     5     1033.8000           5169
## 2486  N635VA   145     2511.7517         364204
## 2487  N636DL    22     1019.5455          22430
## 2488  N636JB   268     1547.9328         414846
## 2489  N636MQ    47      486.6383          22872
## 2490  N636VA   145     2502.0483         362797
## 2491  N636WN     1     1411.0000           1411
## 2492  N637DL    26     1060.0000          27560
## 2493  N637JB   286     1515.9371         433558
## 2494  N637MQ    30      443.7333          13312
## 2495  N637SW     3      818.3333           2455
## 2496  N637VA   142     2504.2254         355600
## 2497  N638AA    16     1165.5625          18649
## 2498  N638DL    24     1270.8750          30501
## 2499  N638JB   245     1396.0000         342020
## 2500  N638MQ    46      429.5000          19757
## 2501  N638SW     3      998.0000           2994
## 2502  N638VA   157     2499.6497         392445
## 2503  N639AA    27     1500.5926          40516
## 2504  N639DL    25     1010.2400          25256
## 2505  N639JB   286     1332.8741         381202
## 2506  N639MQ    30      463.5333          13906
## 2507  N639SW     5      847.2000           4236
## 2508  N639VA   116     2497.5517         289716
## 2509  N640AA    28     1205.4643          33753
## 2510  N640AW    54     1510.7778          81582
## 2511  N640DL    13     1609.2308          20920
## 2512  N640JB   260     1362.6962         354301
## 2513  N640MQ    21      492.1905          10336
## 2514  N640SW     3     1051.6667           3155
## 2515  N640VA   133     2494.5414         331774
## 2516  N641DL    35     1077.4286          37710
## 2517  N641JB   232     1567.3879         363634
## 2518  N641MQ    38      490.0263          18621
## 2519  N641SW     5      983.0000           4915
## 2520  N641UA     1     1400.0000           1400
## 2521  N641VA   153     2496.4183         381952
## 2522  N642AA    31     1357.3871          42079
## 2523  N642AW    44     1699.5455          74780
## 2524  N642DL    60      933.9000          56034
## 2525  N642MQ    20      517.7000          10354
## 2526  N642VA   143     2496.0280         356932
## 2527  N642WN    10     1017.7000          10177
## 2528  N643DL    32     1235.1875          39526
## 2529  N643JB   253     1344.4980         340158
## 2530  N643MQ    27      465.6296          12572
## 2531  N643SW     5     1028.6000           5143
## 2532  N644DL    28     1278.4643          35797
## 2533  N644JB   273     1358.9560         370995
## 2534  N644MQ    49      479.9388          23517
## 2535  N644SW     4      939.0000           3756
## 2536  N644UA     2     1400.0000           2800
## 2537  N645DL    24     1046.4167          25114
## 2538  N645JB   281     1327.0819         372910
## 2539  N645MQ    25      480.4400          12011
## 2540  N645SW     3      829.0000           2487
## 2541  N646DL    55      866.4364          47654
## 2542  N646JB   260     1565.6231         407062
## 2543  N646MQ     2      333.5000            667
## 2544  N646SW     6      755.0000           4530
## 2545  N646UA     2     1982.5000           3965
## 2546  N647AW    52     1457.2308          75776
## 2547  N647DL    34     1895.8824          64460
## 2548  N647MQ     1      425.0000            425
## 2549  N647SW     4      721.2500           2885
## 2550  N647UA     1     1400.0000           1400
## 2551  N64809     4     1903.7500           7615
## 2552  N648AW    66     1478.3333          97570
## 2553  N648DL    40     1224.9750          48999
## 2554  N648JB   258     1425.7868         367853
## 2555  N648MQ    35      441.1714          15441
## 2556  N648SW     2      736.5000           1473
## 2557  N648UA     1     2565.0000           2565
## 2558  N649AW    61     1583.6230          96601
## 2559  N649DL    30     1622.9333          48688
## 2560  N649JB   283     1324.9611         374964
## 2561  N649MQ    20      560.2000          11204
## 2562  N649SW     4      895.2500           3581
## 2563  N649UA     1      719.0000            719
## 2564  N650AW    52     1488.5385          77404
## 2565  N650DL    24     1631.5833          39158
## 2566  N650MQ    45      456.2444          20531
## 2567  N650SW     3      962.0000           2886
## 2568  N651AW    69     1392.3043          96069
## 2569  N651DL    23     1296.4348          29818
## 2570  N651JB   261     1407.5287         367365
## 2571  N651MQ    31      459.7419          14252
## 2572  N651SW     7     1003.0000           7021
## 2573  N651UA     1     1400.0000           1400
## 2574  N652AW    63     1703.5397         107323
## 2575  N652DL    34     1297.7059          44122
## 2576  N652JB   264     1487.6098         392729
## 2577  N652MQ    12      475.3333           5704
## 2578  N652SW     6      849.0000           5094
## 2579  N652UA     2     1400.0000           2800
## 2580  N653AW    76     1524.9342         115895
## 2581  N653JB   295     1304.8475         384930
## 2582  N653MQ    12      438.6667           5264
## 2583  N653SW     7      984.5714           6892
## 2584  N653UA     1     1400.0000           1400
## 2585  N654AW    62     1462.9355          90702
## 2586  N654DL    40     1649.7250          65989
## 2587  N654MQ     3      538.0000           1614
## 2588  N654SW     5      947.6000           4738
## 2589  N654UA     1     2227.0000           2227
## 2590  N655AW    70     1540.6571         107846
## 2591  N655DL    41     1412.7317          57922
## 2592  N655JB   281     1376.9786         386931
## 2593  N655MQ    34      434.5294          14774
## 2594  N655UA     1     1400.0000           1400
## 2595  N655WN     4     1133.7500           4535
## 2596  N656AW    72     1734.8333         124908
## 2597  N656JB   275     1352.6509         371979
## 2598  N656MQ    35      486.0000          17010
## 2599  N656SW     3      953.3333           2860
## 2600  N656UA     5     1400.0000           7000
## 2601  N657AW    71     1616.2113         114751
## 2602  N657JB   285     1285.8596         366470
## 2603  N657MQ    39      505.3077          19707
## 2604  N657SW     2      810.0000           1620
## 2605  N657UA     1     1400.0000           1400
## 2606  N658AW    66     1553.4848         102530
## 2607  N658DL    39     1013.2821          39518
## 2608  N658JB   286     1485.3706         424816
## 2609  N658MQ    22      473.8636          10425
## 2610  N658SW     5      790.2000           3951
## 2611  N658UA     3     1400.0000           4200
## 2612  N659AW    57     1459.8070          83209
## 2613  N659DL    78      910.7564          71039
## 2614  N659JB   276     1291.2500         356385
## 2615  N659MQ    35      446.9143          15642
## 2616  N659SW     6      861.3333           5168
## 2617  N659UA     3     1400.0000           4200
## 2618  N66051    34     3634.9412         123588
## 2619  N66056    30     3243.7333          97312
## 2620  N66057    39     3746.1282         146099
## 2621  N660AW    58     1499.1379          86950
## 2622  N660DL    54     1078.0000          58212
## 2623  N660MQ    41      529.9024          21726
## 2624  N660SW     1      748.0000            748
## 2625  N660UA     3     1561.3333           4684
## 2626  N661AW    50     1461.8000          73090
## 2627  N661DN    47     1029.6170          48392
## 2628  N661JB   286     1370.1399         391860
## 2629  N661MQ    19      442.4737           8407
## 2630  N661UA     1     1400.0000           1400
## 2631  N662AW    67     1537.4179         103007
## 2632  N662DN    56      937.3571          52492
## 2633  N662JB   256     1335.7578         341954
## 2634  N662MQ     7      465.7143           3260
## 2635  N662SW     5     1030.6000           5153
## 2636  N663AW    67     1465.8955          98215
## 2637  N663DN    75      869.7333          65230
## 2638  N663JB   271     1338.2399         362663
## 2639  N663MQ    26      471.9231          12270
## 2640  N663SW     3     1002.6667           3008
## 2641  N663UA     4     1691.2500           6765
## 2642  N664AW    51     1538.1765          78447
## 2643  N664DN    75      936.2933          70222
## 2644  N664MQ     8      360.3750           2883
## 2645  N664UA    20     1458.2500          29165
## 2646  N665AW    49     1548.2653          75865
## 2647  N665DN    78      916.8205          71512
## 2648  N665JB   244     1247.3197         304346
## 2649  N665MQ     6      481.5000           2889
## 2650  N665UA    11     1400.0000          15400
## 2651  N665WN     7     1080.0000           7560
## 2652  N666DN    62     1035.5806          64206
## 2653  N666UA    11     1400.0000          15400
## 2654  N667AW    59     1565.8814          92387
## 2655  N667DN    80      979.2500          78340
## 2656  N667MQ    21      432.0000           9072
## 2657  N667UA    25     1408.2000          35205
## 2658  N66803    12     1971.6667          23660
## 2659  N66808    16     2017.8125          32285
## 2660  N668AW    66     1552.9394         102494
## 2661  N668DN    49     1027.5918          50352
## 2662  N668MQ    24      404.2083           9701
## 2663  N668UA    18     1411.3889          25405
## 2664  N669AW    52     1520.3846          79060
## 2665  N669DN    69      993.8261          68574
## 2666  N669MQ    16      511.6250           8186
## 2667  N669SW     1      748.0000            748
## 2668  N669UA    17     1400.0000          23800
## 2669   N6700    30     1251.3667          37541
## 2670   N6701    44     1562.3182          68742
## 2671   N6702    33     1528.9697          50456
## 2672  N6703D    38     1410.9474          53616
## 2673  N6704Z    28     1243.7143          34824
## 2674  N67052    24     3427.0417          82249
## 2675  N67058    36     3329.2500         119853
## 2676  N6705Y    29     1390.3448          40320
## 2677  N6706Q    19     1621.1579          30802
## 2678  N6707A    37     1624.4595          60105
## 2679  N6708D    36     1336.6667          48120
## 2680   N6709    27     1305.6667          35253
## 2681  N670DN    61     1087.9016          66362
## 2682  N670MQ     9      413.0000           3717
## 2683  N670SW     2     1411.0000           2822
## 2684  N670UA    27     1536.4815          41485
## 2685  N670US     1      760.0000            760
## 2686  N6710E    34     1473.0588          50084
## 2687  N6711M    31     1383.7742          42897
## 2688  N6712B    42     1436.1429          60318
## 2689  N67134    94     1595.3191         149960
## 2690  N6713Y    22     1058.3636          23284
## 2691  N6714Q    21     1256.9524          26396
## 2692  N6715C    27     1506.1481          40666
## 2693  N6716C    25     1453.7600          36344
## 2694  N67171    33     1377.9091          45471
## 2695  N671DN    60      980.9333          58856
## 2696  N671MQ    31      485.1290          15039
## 2697  N671UA    19     1400.0000          26600
## 2698  N672AW    59     1647.1017          97179
## 2699  N672DL    64      990.9062          63418
## 2700  N672MQ    22      430.4091           9469
## 2701  N672UA    17     1400.0000          23800
## 2702  N673AW    73     1477.2192         107837
## 2703  N673DL    50      873.4800          43674
## 2704  N673MQ    20      561.2500          11225
## 2705  N673UA    16     1472.8125          23565
## 2706  N674DL    78     1024.8205          79936
## 2707  N674MQ     3      514.6667           1544
## 2708  N674UA    19     1400.0000          26600
## 2709  N675AW    60     1494.3333          89660
## 2710  N675DL    62     1015.2581          62946
## 2711  N675MC     5      642.8000           3214
## 2712  N675MQ    23      457.8261          10530
## 2713  N675UA    25     1414.3200          35358
## 2714  N676AW    78     1602.5385         124998
## 2715  N676CA    35      641.9143          22467
## 2716  N676DL    52      987.9231          51372
## 2717  N676MQ    12      348.7500           4185
## 2718  N676UA    12     1497.0833          17965
## 2719  N677AW    69     1482.9710         102325
## 2720  N677MQ    29      476.3793          13815
## 2721  N677UA    19     1400.0000          26600
## 2722  N678AW    58     1499.8276          86990
## 2723  N678CA    34      635.0588          21592
## 2724  N678DL    52      981.4615          51036
## 2725  N678MQ    14      504.7857           7067
## 2726  N679AW    40     1777.2000          71088
## 2727  N679DA    67      982.8657          65852
## 2728  N679MQ    36      457.0000          16452
## 2729  N68061    22     3829.3182          84245
## 2730  N680AW    55     1405.2909          77291
## 2731  N680DA    72      975.5556          70240
## 2732  N680MQ    31      439.1613          13614
## 2733  N68159     5     1821.6000           9108
## 2734  N68160     8     1679.5000          13436
## 2735  N681DA    32      915.3125          29290
## 2736  N681MQ    27      498.9259          13471
## 2737  N682DA    18     1107.1667          19929
## 2738  N682MQ    31      480.8710          14907
## 2739  N683BR     3      437.3333           1312
## 2740  N683DA    15      998.6667          14980
## 2741  N683MQ    30      455.8667          13676
## 2742  N68452    99     1561.3434         154573
## 2743  N68453   104     1522.2019         158309
## 2744  N684DA    36     1731.0556          62318
## 2745  N684MQ    20      488.7000           9774
## 2746  N684WN     7     1064.5714           7452
## 2747  N685DA    37     1580.5405          58480
## 2748  N685MQ    24      493.1667          11836
## 2749  N685SW     5     1062.8000           5314
## 2750  N686DA    45      922.6667          41520
## 2751  N686MQ    16      491.8125           7869
## 2752  N687DL    81      873.9877          70793
## 2753  N687MQ    32      429.2812          13737
## 2754  N687SW     5      785.6000           3928
## 2755  N68801    18     1714.7222          30865
## 2756  N68802    13     1977.0000          25701
## 2757  N68805    15     1669.6667          25045
## 2758  N68807     6     1971.6667          11830
## 2759  N688DL    67     1005.1343          67344
## 2760  N688MQ    31      441.5806          13689
## 2761  N689DL    64     1014.1562          64906
## 2762  N689MQ    22      568.0455          12497
## 2763  N69059    35     3619.0000         126665
## 2764  N69063    32     4550.5625         145618
## 2765  N690DL    66      909.0303          59996
## 2766  N690MQ    25      401.2400          10031
## 2767  N69154    12     1643.7500          19725
## 2768  N691CA    29      576.5172          16719
## 2769  N691MQ    15      489.6000           7344
## 2770  N691WN     8     1125.5000           9004
## 2771  N692DL    45      972.0444          43742
## 2772  N692MQ    21      443.5714           9315
## 2773  N693CA     1     1008.0000           1008
## 2774  N693DL    38     1239.4474          47099
## 2775  N693MQ    18      445.3889           8017
## 2776  N693SW     2     1141.5000           2283
## 2777  N694DL    38     1639.6842          62308
## 2778  N694MQ    39      468.4359          18269
## 2779  N694SW     2     1141.5000           2283
## 2780  N695CA    42      685.0238          28771
## 2781  N695DL    46     1498.3913          68926
## 2782  N695MQ    31      434.7742          13478
## 2783  N696DL    31     1387.9355          43026
## 2784  N696MQ    14      517.0000           7238
## 2785  N697DL    36      973.6667          35052
## 2786  N697MQ     5      496.0000           2480
## 2787  N697SW     8      987.8750           7903
## 2788  N69804    27     1579.7778          42654
## 2789  N69806    17     1652.1765          28087
## 2790  N698DL    12     1462.0000          17544
## 2791  N698MQ    54      471.2963          25450
## 2792  N699DL    25     1121.1600          28029
## 2793  N699MQ    22      357.0909           7856
## 2794  N6EAMQ   348      675.2672         234993
## 2795  N700GS    42      963.6429          40473
## 2796  N700UW    52      388.8654          20221
## 2797  N701GS    23      831.7826          19131
## 2798  N701SK     1      419.0000            419
## 2799  N701UW    60      335.5833          20135
## 2800  N702SK     1      419.0000            419
## 2801  N702TW   195     2281.3026         444854
## 2802  N702UW   100      314.0200          31402
## 2803  N703JB   277     1467.9386         406619
## 2804  N703SW    29     1037.7586          30095
## 2805  N703TW   195     2330.5692         454461
## 2806  N703UW    59      340.5593          20093
## 2807  N704SW    28      988.8929          27689
## 2808  N704US    72      383.2361          27593
## 2809   N704X   202     2340.2426         472729
## 2810  N705JB   290     1498.5207         434571
## 2811  N705SK     1      419.0000            419
## 2812  N705SW    22      880.9545          19381
## 2813  N705TW   293     2416.3754         707998
## 2814  N705UW    64      336.4844          21535
## 2815  N706JB   288     1300.4931         374542
## 2816  N706SW    25     1013.2800          25332
## 2817  N706TW   220     2404.6091         529014
## 2818  N707EV   114      569.8860          64967
## 2819  N707SA    24     1067.7500          25626
## 2820  N707TW   235     2398.5745         563665
## 2821  N708EV   220      588.2773         129421
## 2822  N708JB   246     1389.9959         341939
## 2823  N708SW    16      912.8125          14605
## 2824  N708UW    86      352.5116          30316
## 2825  N709EV   225      570.6311         128392
## 2826  N709JB   264     1330.6629         351295
## 2827  N709SW    28      976.1429          27332
## 2828  N709TW   223     2384.0090         531634
## 2829  N709UW    60      321.8000          19308
## 2830  N710EV   214      593.7290         127058
## 2831  N710SK     1      419.0000            419
## 2832  N710SW    29      910.3448          26400
## 2833  N710TW   220     2370.0909         521420
## 2834  N710UW    54      396.1111          21390
## 2835  N711HK    21     1153.0000          24213
## 2836  N711MQ   486      541.9733         263399
## 2837  N711UW    66      360.9091          23820
## 2838  N711ZX   291     2399.2234         698174
## 2839  N712EV   210      555.0333         116557
## 2840  N712JB   251     1407.4502         353270
## 2841  N712SW    26     1012.3077          26320
## 2842  N712TW   196     2356.7296         461919
## 2843  N712US    93      306.8280          28535
## 2844  N713EV   246      549.2073         135105
## 2845  N713MQ   483      549.4762         265397
## 2846  N713SW    21     1060.7143          22275
## 2847  N713TW   297     2410.7677         715998
## 2848  N713UW    59      362.7288          21401
## 2849  N71411    80     1483.4750         118678
## 2850  N714CB    20      973.1500          19463
## 2851  N714US    82      317.0610          25999
## 2852  N715JB   249     1410.6185         351244
## 2853  N715SW    30     1095.2667          32858
## 2854  N715UW    84      307.5833          25837
## 2855  N716EV   212      561.9434         119132
## 2856  N716SW    30      923.1000          27693
## 2857  N716UW    75      395.5067          29663
## 2858  N717EV   231      538.5238         124399
## 2859  N717JL    34      643.2059          21869
## 2860  N717MQ   241      547.8091         132022
## 2861  N717SA    21     1069.0952          22451
## 2862  N717TW   272     2412.2390         656129
## 2863  N717UW    79      297.4051          23495
## 2864  N718EV   196      554.1531         108614
## 2865  N718SW    23      939.0435          21598
## 2866  N718TW   328     2363.9665         775381
## 2867  N719EV   171      579.2573          99053
## 2868  N719MQ   182      523.7912          95330
## 2869  N719SW    31      998.6129          30957
## 2870  N720EV   177      549.4520          97253
## 2871  N720MQ   331      556.4048         184170
## 2872  N720WN    31      940.7742          29164
## 2873  N721MQ   328      545.9665         179077
## 2874  N721TW   318     2377.4528         756030
## 2875  N721UW    65      326.3692          21214
## 2876  N722EV   160      566.1125          90578
## 2877  N722MQ   513      545.8908         280042
## 2878  N722TW   314     2433.6847         764177
## 2879  N722US    76      345.0000          26220
## 2880  N723EV   183      560.9016         102645
## 2881  N723MQ   507      537.6272         272577
## 2882  N723SW    29     1090.1724          31615
## 2883  N723TW   289     2360.2526         682113
## 2884  N723UW    65      360.0308          23402
## 2885  N72405    89     1428.5281         127139
## 2886  N724EV   204      578.9265         118101
## 2887  N724MQ   210      663.7619         139390
## 2888  N724SW    27     1002.4074          27065
## 2889  N724UW    63      341.1746          21494
## 2890  N725MQ   575      558.6052         321198
## 2891  N725SW    21      957.0476          20098
## 2892  N725UW    63      357.8889          22547
## 2893  N726SK     1      419.0000            419
## 2894  N726SW    28      909.2143          25458
## 2895  N727SW    35      961.1143          33639
## 2896  N727TW   275     2413.7236         663774
## 2897  N728SK     1      419.0000            419
## 2898  N728SW    27      884.9630          23894
## 2899  N729JB   284     1327.5951         377037
## 2900  N729SW    27      941.6667          25425
## 2901  N730EV   223      612.3587         136556
## 2902  N730MQ   178      539.2640          95989
## 2903  N730SW    25     1166.3600          29159
## 2904  N730US    91      313.4615          28525
## 2905  N73152    12     1663.5000          19962
## 2906  N731SA    25     1213.2800          30332
## 2907  N73251   107     1405.7944         150420
## 2908  N73256   105     1309.8476         137534
## 2909  N73259   115     1556.7565         179027
## 2910  N73270   104     1495.9904         155583
## 2911  N73275   114     1409.4649         160679
## 2912  N73276   114     1266.8509         144421
## 2913  N73278   102     1465.1078         149441
## 2914  N73283   110     1402.5091         154276
## 2915  N73291   142     1382.5704         196325
## 2916  N73299    95     1532.6947         145606
## 2917  N732SW    27     1172.4444          31656
## 2918  N732US    86      312.2674          26855
## 2919  N733SA    24     1044.0417          25057
## 2920  N733UW    55      308.8182          16985
## 2921  N73406    81     1397.9506         113234
## 2922  N73445   122     1532.8361         187006
## 2923  N734MQ   128      526.3125          67368
## 2924  N734SA    29     1116.8276          32388
## 2925  N735MQ   396      552.2727         218700
## 2926  N735SA    29     1092.6552          31687
## 2927  N736MQ   169      513.5444          86789
## 2928  N736SA    29     1107.9310          32130
## 2929  N737JW    30     1087.3000          32619
## 2930  N737MQ   165      521.6667          86075
## 2931  N737US    85      321.0471          27289
## 2932  N73860     5     1981.4000           9907
## 2933  N738CB    28      924.9286          25898
## 2934  N738EV   213      552.9108         117770
## 2935  N738MQ   333      527.2462         175573
## 2936  N738US    65      332.3231          21601
## 2937  N739GB    21      923.1429          19386
## 2938  N739MQ   149      535.2550          79753
## 2939  N740EV   233      580.4721         135250
## 2940  N740SK     1      419.0000            419
## 2941  N740SW    26      976.7692          25396
## 2942  N740UW    58      335.7586          19474
## 2943  N741EV   211      569.3460         120132
## 2944  N741SA    32      989.2500          31656
## 2945  N741UW    66      324.4697          21415
## 2946  N742PS   177      288.3842          51044
## 2947  N742SW    20     1144.4500          22889
## 2948  N743SW    26      959.0769          24936
## 2949  N744EV   189      580.3333         109683
## 2950   N744P   154      281.1494          43297
## 2951  N744SW    28     1038.5714          29080
## 2952  N745SW    25      940.6800          23517
## 2953  N745VJ   185      273.3730          50574
## 2954  N746JB   318     1364.6855         433970
## 2955  N746SK     1      229.0000            229
## 2956  N746SW    25     1111.8800          27797
## 2957  N746UW   133      291.5714          38779
## 2958  N747SA    32      987.2500          31592
## 2959  N747UW   177      269.8814          47769
## 2960  N74856    36     1998.3889          71942
## 2961  N748EV   224      556.9107         124748
## 2962  N748SW    22      980.6818          21575
## 2963  N748UW   181      272.6575          49351
## 2964  N749SW    19      901.1579          17122
## 2965  N749US   135      276.6296          37345
## 2966  N750AT     1     2475.0000           2475
## 2967  N750EV   233      564.0944         131434
## 2968  N750SA    28     1137.5357          31851
## 2969  N750UW   146      289.3493          42245
## 2970  N751EV   208      583.1875         121303
## 2971  N751SW    32     1021.1562          32677
## 2972  N751UW   152      272.4276          41409
## 2973  N752EV   215      527.3721         113385
## 2974  N752SW    24      854.0833          20498
## 2975  N752US   127      277.1890          35203
## 2976  N753EV   253      590.2846         149342
## 2977  N753SW    25      929.0800          23227
## 2978  N753US   118      281.2119          33183
## 2979  N75410    74     1581.8649         117058
## 2980  N75425    81     1689.4815         136848
## 2981  N75426    83     1648.4458         136821
## 2982  N75428   107     1637.0187         175161
## 2983  N75429    92     1633.1413         150249
## 2984  N75432   102     1795.7353         183165
## 2985  N75433   110     1762.0727         193828
## 2986  N75435    89     1760.4831         156683
## 2987  N75436   126     1742.9365         219610
## 2988  N754EV   235      555.9660         130652
## 2989  N754SW    35     1096.4286          38375
## 2990  N754UW   134      267.4552          35839
## 2991  N755EV   195      575.5487         112232
## 2992  N755SA    32      915.1250          29284
## 2993  N755US   139      297.3957          41338
## 2994  N756SA    32     1001.9375          32062
## 2995  N756US   139      264.2014          36724
## 2996  N757AT     1     2475.0000           2475
## 2997  N757LV    23      949.3043          21834
## 2998  N757UW   141      263.0780          37094
## 2999  N75851    38     2163.5526          82215
## 3000  N75853    41     1999.8780          81995
## 3001  N75854    32     1826.4375          58446
## 3002  N75858    43     1975.1628          84932
## 3003  N75861    13     1544.6923          20081
## 3004  N758EV   185      582.9081         107838
## 3005  N758SW    40      936.2500          37450
## 3006  N758US   128      299.5859          38347
## 3007  N759EV   261      545.6590         142417
## 3008  N759GS    29     1043.3793          30258
## 3009  N76054    28     3591.7857         100570
## 3010  N76055    32     3429.0625         109730
## 3011  N76062    25     3403.6000          85090
## 3012  N76064    43     4450.0000         191350
## 3013  N76065    58     4319.0862         250507
## 3014  N760EV   187      578.1711         108118
## 3015  N760JB   301     1328.2060         399790
## 3016  N760SK     1      419.0000            419
## 3017  N760SW    28     1009.3214          28261
## 3018  N760US   149      272.4698          40598
## 3019  N76153    12     1751.3333          21016
## 3020  N761ND   133      569.4962          75743
## 3021  N761RR    36     1006.4722          36233
## 3022  N76254   129     1459.4109         188264
## 3023  N76265   119     1312.6807         156209
## 3024  N76269   135     1392.5926         188000
## 3025  N76288   110     1440.6909         158476
## 3026  N762NC    15      660.0000           9900
## 3027  N762SK     1      419.0000            419
## 3028  N762SW    39     1037.8718          40477
## 3029  N762US   201      279.0995          56099
## 3030  N763JB   268     1591.4403         426506
## 3031  N763SW    27     1021.4444          27579
## 3032  N763US   118      282.5932          33346
## 3033  N764NC    11      628.7273           6916
## 3034  N764SW    26      981.9615          25531
## 3035  N764US   133      292.4211          38892
## 3036  N76502    98     1553.8061         152273
## 3037  N76503   118     1461.5508         172463
## 3038  N76504   129     1395.3488         180000
## 3039  N76505   107     1453.0000         155471
## 3040  N76508   121     1392.3636         168476
## 3041  N76514    97     1446.6082         140321
## 3042  N76515   113     1422.0531         160692
## 3043  N76516   125     1481.7200         185215
## 3044  N76517   109     1421.8532         154982
## 3045  N76519   120     1605.0750         192609
## 3046  N76522   122     1491.7459         181993
## 3047  N76523   115     1445.8870         166277
## 3048  N76526   115     1461.6957         168095
## 3049  N76528   121     1514.5620         183262
## 3050  N76529   125     1496.3920         187049
## 3051  N765SW    33      939.0909          30990
## 3052  N765US   132      290.2727          38316
## 3053  N766JB   282     1415.0284         399038
## 3054  N766NC    14      617.0000           8638
## 3055  N766SK     1      419.0000            419
## 3056  N766SW    34     1054.0882          35839
## 3057  N766US   140      297.8143          41694
## 3058  N767NC    22      722.5455          15896
## 3059  N767SW    28     1049.8929          29397
## 3060  N767UW   139      280.5108          38991
## 3061  N768JB   276     1593.0906         439693
## 3062  N768SK     1      419.0000            419
## 3063  N768SW    32      842.2812          26953
## 3064  N768US   152      288.2105          43808
## 3065  N769SW    30     1060.7333          31822
## 3066  N769US   163      267.4724          43598
## 3067  N77012     1     1400.0000           1400
## 3068  N7702A    38      993.3684          37748
## 3069  N7704B    35      900.2571          31509
## 3070  N77066    45     4669.7111         210137
## 3071  N770NC     6      746.0000           4476
## 3072  N770SA    28      963.1071          26967
## 3073  N770UW   168      283.5298          47633
## 3074  N7713A     1      764.0000            764
## 3075  N7714B    26     1058.5000          27521
## 3076  N7715E     1      711.0000            711
## 3077  N771SA    26      994.6154          25860
## 3078  N7724A    12      931.5833          11179
## 3079  N77258   111     1401.9910         155621
## 3080  N77261   103     1341.2330         138147
## 3081  N7726A    30     1011.6000          30348
## 3082  N77295   126     1451.1508         182845
## 3083  N77296   122     1389.2377         169487
## 3084  N772SK     1      419.0000            419
## 3085  N772SW    23     1077.7391          24788
## 3086  N7730A    29      942.9655          27346
## 3087  N7732A    34     1090.4412          37075
## 3088  N7734H    38     1005.4474          38207
## 3089  N7735A    30     1077.8000          32334
## 3090  N7738A    24      999.4167          23986
## 3091  N7739A    41      888.1220          36413
## 3092  N773NC    11      676.9091           7446
## 3093  N773SA    24      835.2917          20047
## 3094  N7740A    31     1057.9032          32795
## 3095  N7741C    18     1092.0556          19657
## 3096  N77430   112     1607.7589         180069
## 3097  N77431   100     1640.3000         164030
## 3098  N7744A     5     1076.4000           5382
## 3099  N7746C    18     1025.7778          18464
## 3100  N774NC     6      531.0000           3186
## 3101  N774SW    27     1028.0000          27756
## 3102  N77510    88     1538.8977         135423
## 3103  N77518    90     1529.1667         137625
## 3104  N77520    99     1372.6667         135894
## 3105  N77525   108     1386.0370         149692
## 3106  N77530   126     1438.0556         181195
## 3107  N775JB   280     1619.3321         453413
## 3108  N775NC     6      660.0000           3960
## 3109  N775SW    28      899.1429          25176
## 3110  N776SK     1      419.0000            419
## 3111  N776WN    38      936.5526          35589
## 3112  N777NC    10      591.2000           5912
## 3113  N777QC    23      998.9130          22975
## 3114  N777UA     1     2586.0000           2586
## 3115  N77865     8     2246.0000          17968
## 3116  N77867     8     1454.7500          11638
## 3117  N77871    13     1755.0000          22815
## 3118  N778SK     1      419.0000            419
## 3119  N778SW    25     1113.1600          27829
## 3120  N779JB   264     1504.4280         397169
## 3121  N779NC    14      672.2857           9412
## 3122  N779SW    25     1176.3600          29409
## 3123  N78003     1     1400.0000           1400
## 3124  N78013     1     1400.0000           1400
## 3125  N78060    26     3359.8846          87357
## 3126  N780NC    14      653.8571           9154
## 3127  N780SK     2      419.0000            838
## 3128  N780SW    21     1089.5238          22880
## 3129  N7811F    17     1117.1176          18991
## 3130  N7812G    10     1103.6000          11036
## 3131  N781WN    30     1033.5667          31007
## 3132  N78285   140     1415.4857         198168
## 3133  N782NC    17      670.1176          11392
## 3134  N782SA    36     1081.2222          38924
## 3135  N783SW    30      798.1000          23943
## 3136  N78438   104     1739.4808         180906
## 3137  N78448   112     1590.9464         178186
## 3138  N784JB   297     1458.5354         433185
## 3139  N784NC    20      655.7000          13114
## 3140  N784SW    41     1037.0244          42518
## 3141  N78501   125     1423.0000         177875
## 3142  N78506   112     1456.1161         163085
## 3143  N78509   116     1386.8103         160870
## 3144  N78511   104     1476.1346         153518
## 3145  N78524   102     1394.5686         142246
## 3146  N785SK     1      419.0000            419
## 3147  N785SW    34     1045.4706          35546
## 3148  N786NC    12      660.0000           7920
## 3149  N786SW    33     1001.0606          33035
## 3150  N787NC    12      724.5000           8694
## 3151  N787SA    20      955.3000          19106
## 3152  N787UA     1     2586.0000           2586
## 3153  N78866     9     1869.6667          16827
## 3154  N788SA    25     1087.1200          27178
## 3155  N789JB   332     1588.0060         527218
## 3156  N789SK     3      419.0000           1257
## 3157  N789SW    30      967.3667          29021
## 3158  N790SK     1      419.0000            419
## 3159  N790SW    34      988.7647          33618
## 3160  N791SW    30     1028.7000          30861
## 3161  N79279   120     1583.1583         189979
## 3162  N792SW    28      859.7143          24072
## 3163  N793JB   283     1528.5972         432593
## 3164  N793SA    34     1014.5000          34493
## 3165  N79402    87     1348.2759         117300
## 3166  N794JB   239     1644.8619         393122
## 3167  N794SK     1      419.0000            419
## 3168  N794SW    22      856.0000          18832
## 3169  N79521   110     1394.9545         153445
## 3170  N795SK     1      419.0000            419
## 3171  N795SW    35      935.8571          32755
## 3172  N796JB   297     1598.6768         474807
## 3173  N796SW    36      950.2222          34208
## 3174  N797MX    29     1080.4483          31333
## 3175  N797SK     1      419.0000            419
## 3176  N798SW    19      925.6842          17588
## 3177  N799SW    22      960.5909          21133
## 3178  N7AAAA     1     2586.0000           2586
## 3179  N7ACAA     1     1089.0000           1089
## 3180  N7AEAA     1     1089.0000           1089
## 3181  N7ALAA     1     1089.0000           1089
## 3182  N7ASAA     1     1089.0000           1089
## 3183  N7AXAA     1     1089.0000           1089
## 3184  N7AYAA     1     1089.0000           1089
## 3185  N7BAAA     3     1359.3333           4078
## 3186  N7BFAA     1     1089.0000           1089
## 3187  N7BGAA     2     1240.0000           2480
## 3188  N7BKAA     1     1391.0000           1391
## 3189  N7BMAA     1     1391.0000           1391
## 3190  N7BVAA     1     1089.0000           1089
## 3191  N7CAAA     1     1089.0000           1089
## 3192  N800AY    52      334.7885          17409
## 3193  N800MQ    63      302.5397          19060
## 3194  N801AW     1     2133.0000           2133
## 3195  N801AY    48      335.5000          16104
## 3196  N801UA   113     1194.2655         134952
## 3197  N802AW     1     2133.0000           2133
## 3198  N802MQ    74      419.7027          31058
## 3199  N802UA   120     1141.4583         136975
## 3200  N803MQ    58      437.9483          25401
## 3201  N803SK     1     1008.0000           1008
## 3202  N803UA   129     1057.3178         136394
## 3203  N804AW     3     2133.0000           6399
## 3204  N804JB   219     1424.6210         311992
## 3205  N804MQ   205      356.7561          73135
## 3206  N804UA   110     1187.7818         130656
## 3207  N805AY    53      342.5472          18155
## 3208  N805JB   240     1566.1708         375881
## 3209  N805MQ   102      426.4314          43496
## 3210  N805UA   119     1186.3277         141173
## 3211  N806JB   258     1709.0814         440943
## 3212  N806MQ   148      386.1757          57154
## 3213  N806UA   116     1109.8362         128741
## 3214  N807AW     2     2133.0000           4266
## 3215  N807JB   286     1683.3427         481436
## 3216  N807MQ   164      414.3232          67949
## 3217  N807UA   107     1250.8598         133842
## 3218  N808MQ    60      400.1167          24007
## 3219  N808UA   117     1226.3419         143482
## 3220  N809AW     1     2133.0000           2133
## 3221  N809JB   254     1694.7520         430467
## 3222  N809NW     1     2422.0000           2422
## 3223  N809UA   122     1181.8197         144182
## 3224  N810AW     1     2133.0000           2133
## 3225  N810MQ    64      365.7188          23406
## 3226  N810UA   132     1091.8485         144124
## 3227  N811MQ    81      448.6543          36341
## 3228  N811UA   127     1052.1575         133624
## 3229  N812AW     1     2133.0000           2133
## 3230  N812AY    48      333.0000          15984
## 3231  N812MQ   121      362.2397          43831
## 3232  N812UA   115     1290.5565         148414
## 3233  N813AY    37      395.4324          14631
## 3234  N813MQ   177      402.5254          71247
## 3235  N813SK     2     1008.0000           2016
## 3236  N813UA   117     1177.3675         137752
## 3237  N81449   112     1618.1429         181232
## 3238  N814AW     2     1331.0000           2662
## 3239  N814MQ    63      395.4603          24914
## 3240  N814UA    87     1235.0460         107449
## 3241  N815AW     1     2133.0000           2133
## 3242  N815MQ   117      355.4444          41587
## 3243  N815UA   134     1160.2985         155480
## 3244  N816MQ   130      417.9308          54331
## 3245  N816UA   110     1064.3182         117075
## 3246  N817AW     2     2133.0000           4266
## 3247  N817MQ   166      370.6265          61524
## 3248  N817UA   125     1183.7280         147966
## 3249  N818MQ    76      473.0921          35955
## 3250  N818UA   139     1160.1223         161257
## 3251  N819AW     1     2133.0000           2133
## 3252  N819AY    64      332.9844          21311
## 3253  N819MQ     8      343.0000           2744
## 3254  N819UA   112     1084.9732         121517
## 3255  N820AS   217      228.5392          49593
## 3256  N820AW     1     2133.0000           2133
## 3257  N820AY    37      395.0270          14616
## 3258  N820MQ    45      491.4667          22116
## 3259  N820UA   133     1166.0301         155082
## 3260  N821AW     3     1598.3333           4795
## 3261  N821AY    40      402.1750          16087
## 3262  N821JB   234     1821.8205         426306
## 3263  N821MQ    99      394.0000          39006
## 3264  N821UA   120     1177.5583         141307
## 3265  N822MQ    84      390.4881          32801
## 3266  N822UA   132     1186.5303         156622
## 3267  N823AY    30      306.8333           9205
## 3268  N823MQ    38      315.7368          11998
## 3269  N823UA   135     1126.9778         152142
## 3270  N824AS     1      296.0000            296
## 3271  N824AW     2     1337.0000           2674
## 3272  N824AY    45      390.6889          17581
## 3273  N824MQ    76      417.0658          31697
## 3274  N824UA   123     1146.1463         140976
## 3275  N825AS   197      228.5228          45019
## 3276  N825AW     2     2133.0000           4266
## 3277  N825AY    38      403.3158          15326
## 3278  N825MH     2      760.0000           1520
## 3279  N825MQ    39      428.6410          16717
## 3280  N825UA   110     1219.9818         134198
## 3281  N826AS   194      228.4381          44317
## 3282  N826AW     1     2133.0000           2133
## 3283  N826AY    52      378.1731          19665
## 3284  N826MH     2      760.0000           1520
## 3285  N826MQ    23      376.4348           8658
## 3286  N826UA   120     1095.1250         131415
## 3287  N827AS   200      228.4750          45695
## 3288  N827AW     2     2133.0000           4266
## 3289  N827AY    14      378.4286           5298
## 3290  N827JB   125     1903.2240         237903
## 3291  N827MH     1      760.0000            760
## 3292  N827MQ   121      450.1157          54464
## 3293  N827UA   117     1149.8291         134530
## 3294  N828AS   208      228.4615          47520
## 3295  N828AW     2     2133.0000           4266
## 3296  N828JB    58     1722.7241          99918
## 3297  N828MH     2     1591.0000           3182
## 3298  N828MQ    94      411.2872          38661
## 3299  N828UA   105     1111.0095         116656
## 3300  N829AS   230      228.4739          52549
## 3301  N829AY    32      353.9062          11325
## 3302  N829MH     1      760.0000            760
## 3303  N829MQ    55      396.8364          21826
## 3304  N829UA   109     1132.1743         123407
## 3305  N8301J    13      787.6923          10240
## 3306  N8302F    10      830.8000           8308
## 3307  N8303R    10      757.6000           7576
## 3308  N8305E    20      729.8000          14596
## 3309  N8306H    13      819.9231          10659
## 3310  N8307K    12      738.5833           8863
## 3311  N8308K    15      736.7333          11051
## 3312  N8309C     7      725.0000           5075
## 3313  N830AS   184      228.5000          42044
## 3314  N830AW     1     2133.0000           2133
## 3315  N830AY    55      376.7273          20720
## 3316  N830MQ    68      344.8971          23453
## 3317  N830UA   151     1138.8742         171970
## 3318  N8310C    16      747.0000          11952
## 3319  N8311Q    14      736.6429          10313
## 3320  N8312C    15      768.4667          11527
## 3321  N8313F    13      842.8462          10957
## 3322  N8314L    11      808.4545           8893
## 3323  N8315C    10      741.3000           7413
## 3324  N8316H    14      774.3571          10841
## 3325  N8317M    13      900.3077          11704
## 3326  N8318F    19      768.5789          14603
## 3327  N8319F     9      743.1111           6688
## 3328  N831AW     2     2133.0000           4266
## 3329  N831AY    62      366.3548          22714
## 3330  N831MH     3     1170.0000           3510
## 3331  N831MQ    37      385.3514          14258
## 3332  N831UA   105     1109.4857         116496
## 3333  N8320J     5      725.0000           3625
## 3334  N8321D    11      725.0000           7975
## 3335  N8322X    15      757.6000          11364
## 3336  N8323C     5      725.0000           3625
## 3337  N8324A    13      737.5385           9588
## 3338  N8325D    13      847.0000          11011
## 3339  N8326F     8      765.7500           6126
## 3340  N8327A    10      741.3000           7413
## 3341  N8328A    11      784.2727           8627
## 3342  N8329B    13      728.0000           9464
## 3343  N832AS   163      228.4479          37237
## 3344  N832AY    44      388.8182          17108
## 3345  N832MQ   133      427.6316          56875
## 3346  N832UA   133     1187.6391         157956
## 3347  N833AS   203      228.4778          46381
## 3348  N833AY    56      336.8214          18862
## 3349  N833MQ    48      463.1250          22230
## 3350  N833UA   132     1045.3561         137987
## 3351  N834AS   173      228.5087          39532
## 3352  N834AW     4     1735.0000           6940
## 3353  N834AY    58      353.0517          20477
## 3354  N834JB    49     1985.2041          97275
## 3355  N834MH     1      760.0000            760
## 3356  N834MQ    73      442.2055          32281
## 3357  N834UA   129     1200.4419         154857
## 3358  N835AS   194      228.4794          44325
## 3359  N835AW     1     2133.0000           2133
## 3360  N835AY    52      360.2308          18732
## 3361  N835MH     1      760.0000            760
## 3362  N835MQ    67      322.8955          21634
## 3363  N835UA   106     1221.8868         129520
## 3364  N835VA    72     2485.6667         178968
## 3365  N836AS   168      228.4821          38385
## 3366  N836AW     1     2133.0000           2133
## 3367  N836AY    60      371.5167          22291
## 3368  N836MQ    85      403.0235          34257
## 3369  N836UA    93     1293.5699         120302
## 3370  N836VA    91     2493.0989         226872
## 3371  N837AW     1     2133.0000           2133
## 3372  N837MH     2      760.0000           1520
## 3373  N837MQ    20      369.1500           7383
## 3374  N837UA   107     1059.7664         113395
## 3375  N837VA    91     2478.7582         225567
## 3376  N838AW     2     2133.0000           4266
## 3377  N838MH     2      760.0000           1520
## 3378  N838MQ    73      339.1644          24759
## 3379  N838UA   102     1261.5588         128679
## 3380  N838VA    91     2475.4066         225262
## 3381  N8390A    31      346.9032          10754
## 3382  N839AY    55      384.0727          21124
## 3383  N839MH     6      760.0000           4560
## 3384  N839MQ   157      435.9045          68437
## 3385  N839UA   112     1214.3036         136002
## 3386  N839VA   127     2495.8110         316968
## 3387  N8409N    50      342.9800          17149
## 3388  N840AS     2      443.0000            886
## 3389  N840AY    58      381.8621          22148
## 3390  N840MH     1      760.0000            760
## 3391  N840MQ   103      362.0097          37287
## 3392  N840UA   101     1127.5545         113883
## 3393  N840VA    94     2479.5851         233081
## 3394  N8412F    55      365.5091          20103
## 3395  N8416B    61      373.8197          22803
## 3396  N841AY    31      406.4516          12600
## 3397  N841MH     2      760.0000           1520
## 3398  N841UA    96     1208.4271         116009
## 3399  N841VA    97     2478.9691         240460
## 3400  N8423C    57      373.3333          21280
## 3401  N842MH     3     1170.6667           3512
## 3402  N842MQ    65      394.1692          25621
## 3403  N842UA   144     1208.6528         174046
## 3404  N842VA    98     2489.3367         243955
## 3405  N8432A    52      389.6154          20260
## 3406  N843MH     1      760.0000            760
## 3407  N843UA   126     1199.2778         151109
## 3408  N843VA    72     2468.5139         177733
## 3409  N8444F    36      426.6389          15359
## 3410  N844MH     1      760.0000            760
## 3411  N844MQ    94      421.0957          39583
## 3412  N844UA   121     1101.3223         133260
## 3413  N844VA   123     2523.3171         310368
## 3414  N8458A    63      307.6984          19385
## 3415  N845MH     1      760.0000            760
## 3416  N845MQ    66      415.7879          27442
## 3417  N845UA   140     1154.2500         161595
## 3418  N845VA   100     2509.6500         250965
## 3419  N846AS     1      585.0000            585
## 3420  N846MQ    86      370.5698          31869
## 3421  N846UA   112     1196.1786         133972
## 3422  N846VA   108     2470.3611         266799
## 3423  N8475B    35      326.3143          11421
## 3424  N8477R    53      377.2264          19993
## 3425  N847MQ    79      422.0886          33345
## 3426  N847UA   122     1111.0000         135542
## 3427  N847VA    91     2502.2747         227707
## 3428  N8488D    47      388.5106          18260
## 3429  N848AS     3      356.6667           1070
## 3430  N848MQ   175      370.5257          64842
## 3431  N848UA   108     1130.9444         122142
## 3432  N848VA    92     2494.8913         229530
## 3433  N8492C    66      321.0909          21192
## 3434  N8495B    44      338.8636          14910
## 3435  N849MQ   135      408.5111          55149
## 3436  N849UA   124     1178.2903         146108
## 3437  N849VA    95     2502.3474         237723
## 3438  N8501F    62      421.1774          26113
## 3439  N8505Q    48      313.6042          15053
## 3440  N8506C    57      379.3509          21623
## 3441  N850MQ    52      348.0192          18097
## 3442  N850UA   130     1113.6615         144776
## 3443  N8515F    30      350.7667          10523
## 3444  N8516C    56      407.1250          22799
## 3445  N851MQ    63      384.0952          24198
## 3446  N851NW     1     2422.0000           2422
## 3447  N851UA   118     1165.2627         137501
## 3448  N851VA    74     2488.1081         184120
## 3449  N8525B    54      407.9259          22028
## 3450  N852MQ   118      369.2373          43570
## 3451  N852UA   107     1188.3645         127155
## 3452  N852VA    78     2490.6667         194272
## 3453  N8532G    49      385.3673          18883
## 3454  N8533D    51      356.8235          18198
## 3455  N853MQ    68      442.9706          30122
## 3456  N853UA   127     1108.4803         140777
## 3457  N853VA    79     2503.9241         197810
## 3458  N8541D    50      348.9800          17449
## 3459  N8543F    44      339.2500          14927
## 3460  N854MQ    40      505.0250          20201
## 3461  N854NW     2      760.0000           1520
## 3462  N854UA   124     1080.2097         133946
## 3463  N854VA    87     2496.4598         217192
## 3464  N8554A    26      398.4615          10360
## 3465  N855MQ    12      336.5000           4038
## 3466  N855UA   121     1165.1983         140989
## 3467  N855VA    74     2510.2973         185762
## 3468  N8560F    48      363.8750          17466
## 3469  N856MQ   137      365.0949          50018
## 3470  N856NW     1      760.0000            760
## 3471  N8577D    62      381.0000          23622
## 3472  N857MQ   196      440.9439          86425
## 3473  N8580A    40      381.5250          15261
## 3474  N8587E    48      383.2292          18395
## 3475  N8588D    47      326.8085          15360
## 3476  N858AS     3      437.3333           1312
## 3477  N858MQ    13      293.0769           3810
## 3478  N8598B    46      380.9565          17524
## 3479  N859AS     1      431.0000            431
## 3480  N8600F     9      779.3333           7014
## 3481  N8601C    12      853.9167          10247
## 3482  N8602F    13      750.0769           9751
## 3483  N8603F    13      859.5385          11174
## 3484  N8604C    53      376.0566          19931
## 3485  N8604K    12      738.5833           8863
## 3486  N8605E     5      725.0000           3625
## 3487  N8606C     8      857.2500           6858
## 3488  N8607M    10      879.7000           8797
## 3489  N8608N    14      748.2857          10476
## 3490  N8609A     5      757.6000           3788
## 3491  N8610A    10      811.6000           8116
## 3492  N8611A    50      435.4800          21774
## 3493  N8611F     7      750.1429           5251
## 3494  N8612K     5      790.2000           3951
## 3495  N8613K    11      806.3636           8870
## 3496  N8614M     5      757.6000           3788
## 3497  N8615E     3      953.6667           2861
## 3498  N8616C     8      726.6250           5813
## 3499  N8617E     3     1023.3333           3070
## 3500  N8618N     1      725.0000            725
## 3501  N8619F     1      738.0000            738
## 3502  N8620H     2      725.0000           1450
## 3503  N8621A     2      725.0000           1450
## 3504  N8623A    41      416.8780          17092
## 3505  N862DA     1      502.0000            502
## 3506  N8631E    32      321.6562          10293
## 3507  N863DA     2     1488.5000           2977
## 3508  N8646A    38      352.7632          13405
## 3509  N8659B    50      339.3200          16966
## 3510  N865DA     1      502.0000            502
## 3511  N8665A    52      426.2308          22164
## 3512  N8672A    48      361.2083          17338
## 3513  N8673D    48      364.7292          17507
## 3514  N8674A    45      397.8222          17902
## 3515  N8683B    42      385.0238          16171
## 3516  N8688C    45      416.5778          18746
## 3517  N8694A    60      376.2833          22577
## 3518  N8696C    46      429.7391          19768
## 3519  N8698A    57      375.3333          21394
## 3520  N8709A    53      424.2075          22483
## 3521  N870AS     4      450.0000           1800
## 3522  N8710A    49      442.6122          21688
## 3523  N8718E    39      394.5641          15388
## 3524  N871AS     1      617.0000            617
## 3525  N8721B    33      421.6970          13916
## 3526  N8733G    39      418.1795          16309
## 3527  N8736A    61      424.1967          25876
## 3528  N8745B    56      357.5714          20024
## 3529  N8747B    60      380.2000          22812
## 3530  N87507   120     1485.7500         178290
## 3531  N87512   124     1501.9032         186236
## 3532  N87513    87     1362.3793         118527
## 3533  N8751D    63      368.7143          23229
## 3534  N87527   139     1425.9209         198203
## 3535  N87531   125     1431.5360         178942
## 3536  N8758D    49      391.5510          19186
## 3537  N8771A    48      432.1875          20745
## 3538  N8775A    46      368.5652          16954
## 3539  N877AS   200      228.3900          45678
## 3540  N8783E    44      397.0000          17468
## 3541  N8790A    42      362.4524          15223
## 3542  N8794B    68      367.4706          24988
## 3543  N8797A    47      379.8723          17854
## 3544  N8800G    54      341.0000          18414
## 3545  N8808H    52      388.3269          20193
## 3546  N881AS     1      292.0000            292
## 3547  N8828D    58      384.0517          22275
## 3548  N8836A    46      385.1522          17717
## 3549  N8837B    45      475.0667          21378
## 3550  N8839E    46      365.3913          16808
## 3551  N8847A    50      325.4000          16270
## 3552  N8855A    57      349.5965          19927
## 3553  N8869B    50      322.3000          16115
## 3554  N8877A    48      390.5000          18744
## 3555  N8883E    53      370.6415          19644
## 3556  N8884E    73      363.3973          26528
## 3557  N8886A    46      393.7609          18113
## 3558  N8888D    51      418.6275          21350
## 3559  N8891A    58      366.6724          21267
## 3560  N8894A    39      380.4615          14838
## 3561  N8896A    50      364.8800          18244
## 3562  N8903A    54      355.6852          19207
## 3563  N8905F    60      392.3333          23540
## 3564  N8907A    67      368.5373          24692
## 3565  N8908D    53      439.7925          23309
## 3566  N8913A    55      355.2364          19538
## 3567  N8914A    40      349.2750          13971
## 3568  N8918B    41      322.3902          13218
## 3569  N891AT    23      647.7826          14899
## 3570  N8921B    57      361.8596          20626
## 3571  N8923A    42      377.3095          15847
## 3572  N8924B    42      415.4524          17449
## 3573  N8928A    42      381.1190          16007
## 3574  N892AT    28      682.0714          19098
## 3575  N8930E    45      350.0889          15754
## 3576  N8932C    45      352.2444          15851
## 3577  N8933B    41      343.6098          14088
## 3578  N8936A    58      402.8103          23363
## 3579  N8938A    48      403.0208          19345
## 3580  N893AT    29      610.1379          17694
## 3581  N8940E    45      359.9111          16196
## 3582  N8942A    64      304.1875          19468
## 3583  N8943A    55      353.3818          19436
## 3584  N8944B    38      412.9211          15691
## 3585  N8946A    55      378.0909          20795
## 3586  N8948B    56      373.6250          20923
## 3587  N894AT    29      610.9655          17718
## 3588  N895AT    27      693.5185          18725
## 3589  N8960A    61      402.6393          24561
## 3590  N8964E    30      416.0333          12481
## 3591  N8965E    58      352.4655          20443
## 3592  N8968E    63      345.9841          21797
## 3593  N8969A    41      350.4634          14369
## 3594  N896AT    34      631.7647          21480
## 3595  N8970D    38      387.7368          14734
## 3596  N8971A    51      396.3922          20216
## 3597  N8972E    56      366.0536          20499
## 3598  N8974C    31      333.4194          10336
## 3599  N8976E    50      355.3000          17765
## 3600  N8977A    71      373.6338          26528
## 3601  N8980A    41      378.4146          15515
## 3602  N8982A    46      440.5435          20265
## 3603  N8986B    38      425.8684          16183
## 3604  N899AT    25      674.4000          16860
## 3605  N8EGMQ   299      652.0669         194968
## 3606  N900DE   105      932.9429          97959
## 3607  N900EV     3      356.6667           1070
## 3608  N900MQ    34      469.8235          15974
## 3609  N900PC    65     1092.3692          71004
## 3610  N900WN    14     1082.0714          15149
## 3611  N901DE    90      920.0000          82800
## 3612  N901WN    28     1235.1429          34584
## 3613  N901XJ   244      696.0861         169845
## 3614  N902DA     1     1020.0000           1020
## 3615  N902DE    76      898.7105          68302
## 3616  N902FJ     7      352.0000           2464
## 3617  N902MQ    45      419.4222          18874
## 3618  N902WN    25      917.6000          22940
## 3619  N902XJ   207      650.8261         134721
## 3620  N903DA     2     1007.5000           2015
## 3621  N903DE   116      913.5000         105966
## 3622  N903FJ    10      499.2000           4992
## 3623  N903JB    19     1375.2632          26130
## 3624  N903WN    25      960.6800          24017
## 3625  N903XJ   239      665.4017         159031
## 3626  N904DA     1     1020.0000           1020
## 3627  N904DE    75      909.3333          68200
## 3628  N904DL    95      955.8526          90806
## 3629  N904FJ     3      544.0000           1632
## 3630  N904WN    19     1097.6842          20856
## 3631  N904XJ   218      593.2156         129321
## 3632  N905DA     1     1020.0000           1020
## 3633  N905DE   105      906.3905          95171
## 3634  N905DL   120      938.4333         112612
## 3635  N905FJ     4      544.0000           2176
## 3636  N905MQ     8      559.0000           4472
## 3637  N905WN    36     1037.8056          37361
## 3638  N905XJ   257      639.5603         164367
## 3639  N906AT    39      612.2564          23878
## 3640  N906DA     2      891.0000           1782
## 3641  N906DE    96      920.8125          88398
## 3642  N906DL   117      938.5128         109806
## 3643  N906FJ     8      544.0000           4352
## 3644  N906MQ    31      396.8387          12302
## 3645  N906WN    30     1010.9333          30328
## 3646  N906XJ   262      617.1794         161701
## 3647  N907DA     1      502.0000            502
## 3648  N907DE   112      897.5357         100524
## 3649  N907DL    63      939.0000          59157
## 3650  N907FJ     7      480.0000           3360
## 3651  N907JB    18     1392.2778          25061
## 3652  N907MQ     3      429.6667           1289
## 3653  N907WN    28     1161.7143          32528
## 3654  N907XJ   239      631.1967         150856
## 3655  N908DE   101      918.4257          92761
## 3656  N908DL   100      889.7500          88975
## 3657  N908FJ     5      544.0000           2720
## 3658  N908MQ    22      472.0000          10384
## 3659  N908WN    24     1021.3750          24513
## 3660  N908XJ   253      669.1660         169299
## 3661  N909DE    93      907.8172          84427
## 3662  N909DL    93      904.5591          84124
## 3663  N909EV   190      228.4789          43411
## 3664  N909FJ     8      544.0000           4352
## 3665  N909MQ    10      445.2000           4452
## 3666  N909WN    42      985.1190          41375
## 3667  N909XJ   241      602.2407         145140
## 3668  N910AT    36      659.9444          23758
## 3669  N910DE    91      908.2527          82651
## 3670  N910DL    78      879.0256          68564
## 3671  N910DN     1     1020.0000           1020
## 3672  N910FJ     6      544.0000           3264
## 3673  N910FR     2     1620.0000           3240
## 3674  N910WN    34     1135.6765          38613
## 3675  N910XJ   201      598.6269         120324
## 3676  N911DA     1     1020.0000           1020
## 3677  N911DE    83      899.2892          74641
## 3678  N911DL    83      918.0000          76194
## 3679  N911FJ     3      544.0000           1632
## 3680  N912DE   102      910.1863          92839
## 3681  N912DL    69      896.6957          61872
## 3682  N912DN     2      891.0000           1782
## 3683  N912FJ    11      503.2727           5536
## 3684  N912WN    31     1023.3548          31724
## 3685  N912XJ   236      633.3051         149460
## 3686  N913DE    89      924.9663          82322
## 3687  N913DL    78      909.6923          70956
## 3688  N913DN     1      760.0000            760
## 3689  N913EV     1      488.0000            488
## 3690  N913FJ     8      544.0000           4352
## 3691  N913JB    16     1366.5625          21865
## 3692  N913WN    28      973.4643          27257
## 3693  N913XJ   256      649.3555         166235
## 3694  N914DE    77      910.8571          70136
## 3695  N914DL   109      944.3211         102931
## 3696  N914DN     2      891.0000           1782
## 3697  N914FJ     6      544.0000           3264
## 3698  N914WN    31     1073.0645          33265
## 3699  N914XJ   250      636.6360         159159
## 3700  N915AT    33      607.1515          20036
## 3701  N915DE   106      912.3113          96705
## 3702  N915DL    93      899.0860          83615
## 3703  N915DN     2      344.5000            689
## 3704  N915FJ     5      544.0000           2720
## 3705  N915WN    25     1016.6800          25417
## 3706  N915XJ   235      690.6468         162302
## 3707  N916DE    82      931.1463          76354
## 3708  N916DL    97      933.7629          90575
## 3709  N916DN     1     1020.0000           1020
## 3710  N916FJ     8      544.0000           4352
## 3711  N916WN    47     1089.4681          51205
## 3712  N916XJ   274      618.4891         169466
## 3713  N917DE    98      927.3673          90882
## 3714  N917DL    95      935.9053          88911
## 3715  N917DN     5      998.8000           4994
## 3716  N917FJ     4      544.0000           2176
## 3717  N917WN    34     1058.6471          35994
## 3718  N917XJ   251      623.6375         156533
## 3719  N918DE    74      911.5135          67452
## 3720  N918DH     1      760.0000            760
## 3721  N918DL   100      949.0500          94905
## 3722  N918FJ    12      544.0000           6528
## 3723  N918MQ    47      435.4894          20468
## 3724  N918WN    36     1017.3056          36623
## 3725  N918XJ   223      637.9462         142262
## 3726  N919AT    42      631.0714          26505
## 3727  N919DE   102      892.7157          91057
## 3728  N919DL   109      901.1743          98228
## 3729  N919DN     3      872.6667           2618
## 3730  N919FJ     6      544.0000           3264
## 3731  N919WN    18     1112.3333          20022
## 3732  N919XJ   269      635.8810         171052
## 3733  N920AT    25      616.0000          15400
## 3734  N920DE    78      927.3846          72336
## 3735  N920DL   105      923.6952          96988
## 3736  N920DN     5      898.4000           4492
## 3737  N920FJ     6      544.0000           3264
## 3738  N920WN    33     1116.1212          36832
## 3739  N920XJ   251      624.9920         156873
## 3740  N921AT    42      631.6429          26529
## 3741  N921DL    97      916.2887          88880
## 3742  N921DN     1      746.0000            746
## 3743  N921FJ     6      544.0000           3264
## 3744  N921WN    35      992.6000          34741
## 3745  N921XJ   259      610.1120         158019
## 3746  N922AT    45      639.8000          28791
## 3747  N922DL   120      934.2417         112109
## 3748  N922EV     1      963.0000            963
## 3749  N922FJ    14      512.0000           7168
## 3750  N922MQ    34      535.1176          18194
## 3751  N922WN    33     1100.1212          36304
## 3752  N922XJ   309      609.3107         188277
## 3753  N923AT    37      604.1622          22354
## 3754  N923DL   113      958.8850         108354
## 3755  N923DN     3     1134.0000           3402
## 3756  N923FJ    12      544.0000           6528
## 3757  N923MQ    54      474.8333          25641
## 3758  N923WN    35     1029.0286          36016
## 3759  N923XJ   241      633.4149         152653
## 3760  N924AT    24      670.7500          16098
## 3761  N924DL   122      919.9836         112238
## 3762  N924FJ    12      544.0000           6528
## 3763  N924WN    40      978.6500          39146
## 3764  N924XJ   254      602.8937         153135
## 3765  N925AT    52      628.6346          32689
## 3766  N925DL    86      937.9884          80667
## 3767  N925FJ     9      544.0000           4896
## 3768  N925MQ    30      441.4667          13244
## 3769  N925WN    31     1137.9355          35276
## 3770  N925XJ   267      633.4944         169143
## 3771  N926AT    29      673.0690          19519
## 3772  N926DL   104      892.4327          92813
## 3773  N926EV     3      437.3333           1312
## 3774  N926LR     6      544.0000           3264
## 3775  N926WN    32      881.8750          28220
## 3776  N926XJ   275      628.2182         172760
## 3777  N927AT    41      627.8780          25743
## 3778  N927DA    82      946.7927          77637
## 3779  N927LR     8      544.0000           4352
## 3780  N927WN    44      961.1818          42292
## 3781  N927XJ   237      619.0675         146719
## 3782  N928AT    47      637.7447          29974
## 3783  N928DL    94      884.4681          83140
## 3784  N928DN     1     1020.0000           1020
## 3785  N928EV     1      617.0000            617
## 3786  N928LR    12      544.0000           6528
## 3787  N928MQ    34      498.2353          16940
## 3788  N928WN    21     1123.0476          23584
## 3789  N928XJ   258      612.3217         157979
## 3790  N929AT    23      666.7826          15336
## 3791  N929DL   108      929.6574         100403
## 3792  N929DN     1     1020.0000           1020
## 3793  N929LR     4      544.0000           2176
## 3794  N929WN    30      998.8333          29965
## 3795  N929XJ   217      605.4194         131376
## 3796  N930AT    28      642.9643          18003
## 3797  N930DL    72      921.1528          66323
## 3798  N930LR     3      544.0000           1632
## 3799  N930WN    34     1043.6471          35484
## 3800  N930XJ   244      655.5082         159944
## 3801  N931DL    95      895.2316          85047
## 3802  N931LR    10      544.0000           5440
## 3803  N931MQ    45      480.6000          21627
## 3804  N931WN    34     1010.9706          34373
## 3805  N931XJ   243      609.5926         148131
## 3806  N932AT    30      664.6667          19940
## 3807  N932DL   147      937.6735         137838
## 3808  N932DN     1      762.0000            762
## 3809  N932LR     7      544.0000           3808
## 3810  N932MQ    24      437.3750          10497
## 3811  N932WN    18      943.8333          16989
## 3812  N932XJ   245      643.8122         157734
## 3813  N933AT    35      682.4286          23885
## 3814  N933DL    94      891.1809          83771
## 3815  N933DN     1      762.0000            762
## 3816  N933LR    10      544.0000           5440
## 3817  N933MQ    24      505.4167          12130
## 3818  N933WN    26     1054.1923          27409
## 3819  N933XJ   237      677.1350         160481
## 3820  N934AT    40      634.2500          25370
## 3821  N934DL    80      957.0750          76566
## 3822  N934FJ     7      544.0000           3808
## 3823  N934WN    27     1153.8889          31155
## 3824  N934XJ   230      632.4043         145453
## 3825  N935AT    88      732.1250          64427
## 3826  N935DL    86      892.2791          76736
## 3827  N935LR    10      499.2000           4992
## 3828  N935MQ     5      400.0000           2000
## 3829  N935WN    34     1110.9118          37771
## 3830  N935XJ   224      623.3259         139625
## 3831  N936AT    24      608.9167          14614
## 3832  N936DL    75      933.6667          70025
## 3833  N936WN    33     1029.0303          33958
## 3834  N936XJ   260      611.6731         159035
## 3835  N937AT    41      618.9756          25378
## 3836  N937DL    95      928.1579          88175
## 3837  N937DN     1      746.0000            746
## 3838  N937WN    29     1026.9655          29782
## 3839  N937XJ   234      636.7265         148994
## 3840  N938AT    37      632.4595          23401
## 3841  N938DL    93      951.4624          88486
## 3842  N938LR     7      544.0000           3808
## 3843  N938WN    25     1085.3200          27133
## 3844  N939AT    44      645.3182          28394
## 3845  N939DL    85      879.7294          74777
## 3846  N939DN     1     1020.0000           1020
## 3847  N939LR    10      544.0000           5440
## 3848  N939MQ     7      423.8571           2967
## 3849  N939WN    31      930.9032          28858
## 3850  N940AT    27      640.3333          17289
## 3851  N940DL    79      938.5443          74145
## 3852  N940UW     1      529.0000            529
## 3853  N940WN    18      916.2778          16493
## 3854  N941DL    89      885.8427          78840
## 3855  N941DN     1      762.0000            762
## 3856  N941FR     1     1620.0000           1620
## 3857  N941MQ    22      440.1364           9683
## 3858  N941UW     1      529.0000            529
## 3859  N941WN    28      961.3571          26918
## 3860  N942AT    20      633.0500          12661
## 3861  N942DL    71      902.4789          64076
## 3862  N942LR    12      544.0000           6528
## 3863  N942MQ    44      461.7273          20316
## 3864  N942WN    27     1038.1481          28030
## 3865  N943AT    34      654.6471          22258
## 3866  N943DL    59      860.8136          50788
## 3867  N943DN     1      762.0000            762
## 3868  N943FR     4     1620.0000           6480
## 3869  N943WN    28     1051.8571          29452
## 3870  N944AT    27      639.4444          17265
## 3871  N944DL   101      916.7624          92593
## 3872  N944DN     3      954.0000           2862
## 3873  N944UW   222      177.6126          39430
## 3874  N944WN    29      939.3448          27241
## 3875  N945AT    38      655.7105          24917
## 3876  N945DL    83      868.4458          72081
## 3877  N945DN     1      746.0000            746
## 3878  N945UW   285      175.9088          50134
## 3879  N945WN    25     1009.4400          25236
## 3880  N946AT    37      594.2973          21989
## 3881  N946DL    89      916.1685          81539
## 3882  N946UW   270      182.6000          49302
## 3883  N946WN    33     1081.6061          35693
## 3884  N947AT    37      651.5405          24107
## 3885  N947DL    76      917.1974          69707
## 3886  N947UW   259      180.1158          46650
## 3887  N947WN    34      931.3529          31666
## 3888  N948AT    23      682.6522          15701
## 3889  N948DL    58      896.6724          52007
## 3890  N948FR     2     1620.0000           3240
## 3891  N948UW   232      173.6552          40288
## 3892  N948WN    37      939.1892          34750
## 3893  N949AT    27      653.8519          17654
## 3894  N949DL    85      904.9882          76924
## 3895  N949UW   234      178.4359          41754
## 3896  N949WN    31     1085.1613          33640
## 3897  N950AT    27      665.5926          17971
## 3898  N950DL    70      836.3429          58544
## 3899  N950UW   243      178.2058          43304
## 3900  N950WN    26     1157.6923          30100
## 3901  N951AT    43      634.1163          27267
## 3902  N951DL    67      887.8209          59484
## 3903  N951FR     4     1620.0000           6480
## 3904  N951UW   265      179.9698          47692
## 3905  N951WN    21      971.3810          20399
## 3906  N952AT    30      663.8667          19916
## 3907  N952DL    85      935.1882          79491
## 3908  N952FR     2     1620.0000           3240
## 3909  N952UW   282      176.8511          49872
## 3910  N952WN    31      973.1290          30167
## 3911  N953AT    26      663.7308          17257
## 3912  N953DL    85      891.9176          75813
## 3913  N953DN     1      762.0000            762
## 3914  N953FR     3     1620.0000           4860
## 3915  N953UW   310      180.6581          56004
## 3916  N953WN    27      975.8889          26349
## 3917  N954AT    30      664.6667          19940
## 3918  N954DL    81      887.3333          71874
## 3919  N954UW   237      176.2194          41764
## 3920  N954WN    32     1036.2812          33161
## 3921  N955AT    41      637.3659          26132
## 3922  N955DL    72      964.5278          69446
## 3923  N955DN     1      746.0000            746
## 3924  N955UW   225      173.0933          38946
## 3925  N955WN    39      872.1282          34013
## 3926  N956AT    36      639.0000          23004
## 3927  N956DL    65      868.9538          56482
## 3928  N956DN     1      746.0000            746
## 3929  N956LR     4      544.0000           2176
## 3930  N956UW   222      174.3784          38712
## 3931  N956WN    38     1144.2895          43483
## 3932  N957AT    29      584.1379          16940
## 3933  N957DL    77      888.4545          68411
## 3934  N957DN     1     1020.0000           1020
## 3935  N957UW   286      180.9161          51742
## 3936  N957WN    24     1124.8333          26996
## 3937  N958AT    36      660.6111          23782
## 3938  N958DL   103      904.2330          93136
## 3939  N958DN     3      934.0000           2802
## 3940  N958UW   200      180.0000          36000
## 3941  N958WN    28      866.2857          24256
## 3942  N959AT    29      647.8966          18789
## 3943  N959DL    85      911.8235          77505
## 3944  N959DN     3      837.3333           2512
## 3945  N959UW   213      174.1315          37090
## 3946  N959WN    24     1029.0417          24697
## 3947  N960AT    28      670.7500          18781
## 3948  N960DL    58      876.3966          50831
## 3949  N960DN     3     1045.3333           3136
## 3950  N960WN    27      867.6667          23427
## 3951  N961AT    35      668.1429          23385
## 3952  N961DL    84      922.6190          77500
## 3953  N961DN     3      944.6667           2834
## 3954  N961UW   226      177.8407          40192
## 3955  N961WN    32     1066.8438          34139
## 3956  N962DL    80      970.7000          77656
## 3957  N962DN     1     1020.0000           1020
## 3958  N962WN    24     1232.6250          29583
## 3959  N963AT    33      661.7273          21837
## 3960  N963DL   111      976.2523         108364
## 3961  N963DN     5      946.8000           4734
## 3962  N963UW   219      179.5342          39318
## 3963  N963WN    39     1071.2821          41780
## 3964  N964AT    36      649.8056          23393
## 3965  N964DL    70      902.9429          63206
## 3966  N964DN     2      761.0000           1522
## 3967  N964WN    28     1069.9286          29958
## 3968  N965AT    41      628.4634          25767
## 3969  N965DL    80      911.0125          72881
## 3970  N965DN     2      761.0000           1522
## 3971  N965UW   218      179.2385          39074
## 3972  N965WN    29     1137.5172          32988
## 3973  N966AT    36      649.1389          23369
## 3974  N966DL    89      907.1910          80740
## 3975  N966WN    23      961.0000          22103
## 3976  N967AT    39      659.0513          25703
## 3977  N967DL    89      899.9663          80097
## 3978  N967UW   208      178.4327          37114
## 3979  N967WN    29     1015.7931          29458
## 3980  N968AT    28      669.8929          18757
## 3981  N968DL   100      904.9900          90499
## 3982  N968WN    19     1031.7895          19604
## 3983  N969AT    34      696.8824          23694
## 3984  N969DL   106      887.3302          94057
## 3985  N969WN    33     1091.4848          36019
## 3986  N970AT    30      676.0333          20281
## 3987  N970DL    90      938.4556          84461
## 3988  N971AT    35      657.7143          23020
## 3989  N971DL    90      914.7889          82331
## 3990  N972AT    32      670.7500          21464
## 3991  N972DL    89      907.5730          80774
## 3992  N973DL    77      856.6494          65962
## 3993  N974AT    35      678.5714          23750
## 3994  N974DL    83      916.5663          76075
## 3995  N975AT    24      682.9583          16391
## 3996  N975DL   105      932.5238          97915
## 3997  N976DL    94      894.2447          84059
## 3998  N977AT    86      695.2326          59790
## 3999  N977DL    79      880.9494          69595
## 4000  N978AT    65      709.4154          46112
## 4001  N978DL    78      927.2949          72329
## 4002  N978SW     1      733.0000            733
## 4003  N979AT    58      709.7069          41163
## 4004  N979DL   126      935.1746         117832
## 4005  N980AT    47      637.7447          29974
## 4006  N980DL    83      896.5542          74414
## 4007  N981AT    44      680.7727          29954
## 4008  N981DL    88      920.8636          81036
## 4009  N982AT    23      712.3043          16383
## 4010  N982DL    87      920.6092          80093
## 4011  N983AT    32      625.1250          20004
## 4012  N983DL    98      890.3265          87252
## 4013  N984DL    58      904.7414          52475
## 4014  N985AT    29      647.8966          18789
## 4015  N985DL    63      905.1111          57022
## 4016  N986AT    24      654.5417          15709
## 4017  N986DL    73      943.7808          68896
## 4018  N987AT    28      618.6071          17321
## 4019  N987DL    55      922.8727          50758
## 4020  N988AT    37      642.9730          23790
## 4021  N988DL    55      864.2000          47531
## 4022  N989AT    66      694.8182          45858
## 4023  N989DL    89      908.6854          80873
## 4024  N990AT    71      731.6056          51944
## 4025  N990DL    56      863.0357          48330
## 4026  N991AT    25      659.8000          16495
## 4027  N991DL    92      902.9239          83069
## 4028  N992AT    38      637.1316          24211
## 4029  N992DL    57      902.7544          51457
## 4030  N993AT    47      606.6809          28514
## 4031  N993DL    55      884.9091          48670
## 4032  N994AT    31      698.4839          21653
## 4033  N994DL    61      886.7869          54094
## 4034  N995AT    18      657.9444          11843
## 4035  N995DL    57      883.5789          50364
## 4036  N996AT    29      673.8966          19543
## 4037  N996DL   102      897.3039          91525
## 4038  N997AT    44      679.0455          29878
## 4039  N997DL    63      867.7619          54669
## 4040  N998AT    26      593.5385          15432
## 4041  N998DL    77      857.8182          66052
## 4042  N999DN    61      895.4590          54623
## 4043  N9EAMQ   248      674.6653         167317
```

---

### show_query()

show_query()는 dplyr로 구성된 함수의 연결이 query문으로 어떻게 변환되는지를 보여줌

```r
copy_to(conn, planes, name = 'planes', temporary = FALSE)
tbl(conn, 'planes_distance') %>%
  inner_join(tbl(conn, 'planes'), by='tailnum') %>%
  arrange(desc(total_distance)) %>%
  select(total_distance, manufacturer, model) %>%
  show_query()
```

```
## <SQL>
## SELECT `total_distance` AS `total_distance`, `manufacturer` AS `manufacturer`, `model` AS `model`
## FROM (SELECT *
## FROM (SELECT `TBL_LEFT`.`tailnum` AS `tailnum`, `TBL_LEFT`.`count` AS `count`, `TBL_LEFT`.`mean_distance` AS `mean_distance`, `TBL_LEFT`.`total_distance` AS `total_distance`, `TBL_RIGHT`.`year` AS `year`, `TBL_RIGHT`.`type` AS `type`, `TBL_RIGHT`.`manufacturer` AS `manufacturer`, `TBL_RIGHT`.`model` AS `model`, `TBL_RIGHT`.`engines` AS `engines`, `TBL_RIGHT`.`seats` AS `seats`, `TBL_RIGHT`.`speed` AS `speed`, `TBL_RIGHT`.`engine` AS `engine`
##   FROM `planes_distance` AS `TBL_LEFT`
##   INNER JOIN `planes` AS `TBL_RIGHT`
##   ON (`TBL_LEFT`.`tailnum` = `TBL_RIGHT`.`tailnum`)
## )
## ORDER BY `total_distance` DESC)
```

---

## 과제

- recomen 폴더에 있는 6개 데이터를 활용해서 다음장의 6개 질문에 답해주세요.
- 데이터가 5개이신 분은 아래 코드를 실행해서 다운로드해주세요. 1.4G라 시간이 좀 걸립니다.

```{}
chk<-file.info("./data/recomen/tran.csv")
if(is.na(chk$size)){
  recoment<-"http://rcoholic.duckdns.org/oc/index.php/s/jISrPutj4ocLci2/download"
  dir.create("./data", showWarnings = F)
  dir.create("./data/recomen", showWarnings = F)
  download.file(recoment,destfile="./data/recomen/tran.csv",mode='wb')
}

```

- 답을 구하기 위한 코드와 답을 class3assignment 폴더에 class3_[이름].R로 제출해주세요.(답은 주석으로 작성)
- sql, dplyr+tidyr, data.table 등 무엇이든 사용하시고, 외부서비스도 가능하시면 무엇이든 사용하세요. 몇 문제는 계산 시간이 오래걸릴 수 있습니다.

---

## 문제

1. receiptNum가 "6998419"인 구매기록의 가격(amout)의 합은 얼마인가요?
2. 가장 비싼 item은 무엇인가요?
3. 사용자들이 가장 많이 사용한 체널은 mobile/app과 onlinemall 중에 무엇입니까?
4. 월매출이 2015년 03월 가장 높은 매장의 storeCode는 무엇인가요?
5. 경쟁사의 이용기록이 가장 많은 사용자의 성별은 무엇입니까?
  (competitor 데이터에서 1row가 1건이라고 가정)
6. 한번에 3개 이상 구매한 경우에 가장 많이 구매에 포함된 제품 카테고리(cate_3)는 무엇입니까?

[1]: https://www.tidyverse.org/
[2]: https://mrchypark.github.io/kisa_finR/#(5)
[3]: http://dplyr.tidyverse.org/
[4]: http://tidyr.tidyverse.org/