rm(list = ls())
if(!require("pacman")) install.packages("pacman")
## 要求されたパッケージ pacman をロード中です
pacman::p_load("tidyverse",
"skimr", "gt")
options(scipen = 999)
library(skimr)
et_data_raw <-
readr::read_csv("tairyo_navi_Flounder_teaching2023.csv")
## Rows: 1937 Columns: 10
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (4): Market, Gear_Type, Species, Standard
## dbl (5): Landing_Amount, Landing_Price, Highest_Price, Average_Price, Lowes...
## date (1): Landing_Date
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
et_data_raw |> skimr::skim() |>gt()
| skim_type |
skim_variable |
n_missing |
complete_rate |
Date.min |
Date.max |
Date.median |
Date.n_unique |
character.min |
character.max |
character.empty |
character.n_unique |
character.whitespace |
numeric.mean |
numeric.sd |
numeric.p0 |
numeric.p25 |
numeric.p50 |
numeric.p75 |
numeric.p100 |
numeric.hist |
| Date |
Landing_Date |
0 |
1 |
1994-06-20 |
2021-09-03 |
2007-10-06 |
1675 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
| character |
Market |
0 |
1 |
NA |
NA |
NA |
NA |
2 |
3 |
0 |
14 |
0 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
| character |
Gear_Type |
0 |
1 |
NA |
NA |
NA |
NA |
2 |
6 |
0 |
11 |
0 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
| character |
Species |
0 |
1 |
NA |
NA |
NA |
NA |
3 |
3 |
0 |
1 |
0 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
| character |
Standard |
0 |
1 |
NA |
NA |
NA |
NA |
1 |
2 |
0 |
4 |
0 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
| numeric |
Landing_Amount |
0 |
1 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
17.61972 |
44.69087 |
-7 |
1.8 |
5.50 |
17.00 |
836.30 |
▇▁▁▁▁ |
| numeric |
Landing_Price |
0 |
1 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
19936.37429 |
55647.62121 |
-11188 |
1971.0 |
6491.00 |
21850.00 |
1842700.00 |
▇▁▁▁▁ |
| numeric |
Highest_Price |
0 |
1 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
1758.92210 |
1316.77968 |
0 |
860.0 |
1500.00 |
2420.00 |
10000.00 |
▇▃▁▁▁ |
| numeric |
Average_Price |
0 |
1 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
1341.92707 |
1348.62224 |
0 |
700.0 |
1092.81 |
1696.03 |
43873.81 |
▇▁▁▁▁ |
| numeric |
Lowest_Price |
0 |
1 |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
801.69041 |
845.91571 |
0 |
300.0 |
600.00 |
1000.00 |
8500.00 |
▇▁▁▁▁ |
et_data_raw |> summary()
## Landing_Date Market Gear_Type Species
## Min. :1994-06-20 Length:1937 Length:1937 Length:1937
## 1st Qu.:2001-05-24 Class :character Class :character Class :character
## Median :2007-10-06 Mode :character Mode :character Mode :character
## Mean :2007-11-30
## 3rd Qu.:2014-08-01
## Max. :2021-09-03
## Standard Landing_Amount Landing_Price Highest_Price
## Length:1937 Min. : -7.00 Min. : -11188 Min. : 0
## Class :character 1st Qu.: 1.80 1st Qu.: 1971 1st Qu.: 860
## Mode :character Median : 5.50 Median : 6491 Median : 1500
## Mean : 17.62 Mean : 19936 Mean : 1759
## 3rd Qu.: 17.00 3rd Qu.: 21850 3rd Qu.: 2420
## Max. :836.30 Max. :1842700 Max. :10000
## Average_Price Lowest_Price
## Min. : 0 Min. : 0.0
## 1st Qu.: 700 1st Qu.: 300.0
## Median : 1093 Median : 600.0
## Mean : 1342 Mean : 801.7
## 3rd Qu.: 1696 3rd Qu.:1000.0
## Max. :43874 Max. :8500.0
et_data_raw|>distinct(Market)
## # A tibble: 14 × 1
## Market
## <chr>
## 1 八木
## 2 大槌
## 3 久慈
## 4 大船渡
## 5 宮古
## 6 船越
## 7 釜石
## 8 山田
## 9 田野畑
## 10 田老
## 11 普代
## 12 野田
## 13 種市
## 14 細浦
et_data_raw|>ggplot(aes(x=Market))+geom_bar()
et_data_raw|>group_by(Market)|>summarize(n=n())
## # A tibble: 14 × 2
## Market n
## <chr> <int>
## 1 久慈 265
## 2 八木 152
## 3 大槌 108
## 4 大船渡 306
## 5 宮古 307
## 6 山田 138
## 7 普代 88
## 8 田老 72
## 9 田野畑 76
## 10 種市 50
## 11 細浦 2
## 12 船越 105
## 13 野田 88
## 14 釜石 180
et_data_raw|>distinct(Gear_Type)
## # A tibble: 11 × 1
## Gear_Type
## <chr>
## 1 底刺網
## 2 小延縄
## 3 定置網
## 4 底びき網
## 5 その他
## 6 磯建網
## 7 底延縄
## 8 小延縄（新）
## 9 かご
## 10 搬入
## 11 一本釣り
et_data_raw|>ggplot(aes(x=Gear_Type))+geom_bar()
et_data_raw|>group_by(Gear_Type)|>summarize(n=n())
## # A tibble: 11 × 2
## Gear_Type n
## <chr> <int>
## 1 かご 107
## 2 その他 152
## 3 一本釣り 18
## 4 定置網 814
## 5 小延縄 100
## 6 小延縄（新） 13
## 7 底びき網 41
## 8 底刺網 516
## 9 底延縄 17
## 10 搬入 29
## 11 磯建網 130
et_data_raw|>distinct(Standard)
## # A tibble: 4 × 1
## Standard
## <chr>
## 1 活魚
## 2 山
## 3 生鮮
## 4 不明
et_data_raw|>ggplot(aes(x=Standard))+geom_bar()
et_data_raw|>group_by(Standard)|>summarize(n=n())
## # A tibble: 4 × 2
## Standard n
## <chr> <int>
## 1 不明 302
## 2 山 173
## 3 活魚 719
## 4 生鮮 743