knitr::opts_chunk$set(echo = FALSE, message = FALSE, warning = FALSE)
## 'data.frame': 12628 obs. of 6 variables:
## $ date : Date, format: "2017-12-03" "2017-12-03" ...
## $ average_price: num 1.39 1.44 1.07 1.62 1.43 1.58 1.14 1.77 1.4 1.88 ...
## $ total_volume : int 139970 3577 504933 10609 658939 38754 86646 1829 488588 21338 ...
## $ type : chr "conventional" "organic" "conventional" "organic" ...
## $ year : int 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 ...
## $ geography : chr "Albany" "Albany" "Atlanta" "Atlanta" ...
## date average_price total_volume type
## Min. :2017-12-03 Min. :0.500 Min. : 253 Length:12628
## 1st Qu.:2018-08-19 1st Qu.:1.100 1st Qu.: 15733 Class :character
## Median :2019-06-12 Median :1.320 Median : 94806 Mode :character
## Mean :2019-06-02 Mean :1.359 Mean : 325259
## 3rd Qu.:2020-03-08 3rd Qu.:1.570 3rd Qu.: 430222
## Max. :2020-11-29 Max. :2.780 Max. :5660216
## year geography
## Min. :2017 Length:12628
## 1st Qu.:2018 Class :character
## Median :2019 Mode :character
## Mean :2019
## 3rd Qu.:2020
## Max. :2020
## # A tibble: 5 × 2
## variable n_missing
## <chr> <int>
## 1 average_price 0
## 2 total_volume 0
## 3 type 0
## 4 geography 0
## 5 year 0
## # A tibble: 10 × 2
## geography total_volume_2017
## <chr> <int>
## 1 Los Angeles 14107347
## 2 New York 7593728
## 3 Houston 6179920
## 4 Dallas/Ft. Worth 5850153
## 5 Phoenix/Tucson 5454510
## 6 San Francisco 4593061
## 7 Chicago 4362418
## 8 Denver 4127719
## 9 Baltimore 3893551
## 10 Miami/Ft. Lauderdale 3194484
