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library(readr)
avocado <- read_csv('avocado.csv')## Rows: 12628 Columns: 7
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): date, type, geography
## dbl (4): average_price, total_volume, year, Mileage
##
## 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.summary(avocado)## date average_price total_volume type
## Length:12628 Min. :0.500 Min. : 253 Length:12628
## Class :character 1st Qu.:1.100 1st Qu.: 15733 Class :character
## Mode :character Median :1.320 Median : 94806 Mode :character
## Mean :1.359 Mean : 325259
## 3rd Qu.:1.570 3rd Qu.: 430222
## Max. :2.780 Max. :5660216
## year geography Mileage
## Min. :2017 Length:12628 Min. : 111
## 1st Qu.:2018 Class :character 1st Qu.:1097
## Median :2019 Mode :character Median :2193
## Mean :2019 Mean :1911
## 3rd Qu.:2020 3rd Qu.:2632
## Max. :2020 Max. :2998#Question 1 The price of organic avocadoes are more expense compared to conventional ones. I did not find any other findings. #Question 2 As seen above^ #Question 3 three stake holders the could benefit from this information include the farmers, consumers, and marketers. The farmer could benefit with this information regarding their price of goods sold, consumers could benefit from this information to alter their diet, and marketers can benefit from this information regarding competition.