HW2

Homework 2

Adam Wheeler na (UMass Amherst)na
2021-12-24

Read in a data set

library(tidyverse)
library(dplyr)
poultry <- read_csv("../Downloads/poultry_tidy.csv")

Explain the variables

cols(
  Product = col_character(), # string
  Month = col_character(), # string
  Year = col_double(), # numeric
  Price_Dollar = col_double() # numeric
)

Perform basic operations

Get highest price per product

poultry %>%
  arrange(desc(Price_Dollar)) %>%
  select(Product, Price_Dollar) %>%
  group_by(Product) %>%
  slice(1) %>%
  ungroup() %>%
  arrange(desc(Price_Dollar))
# A tibble: 5 x 2
  Product        Price_Dollar
  <chr>                 <dbl>
1 B/S Breast             7.04
2 Bone-in Breast         3.90
3 Whole                  2.48
4 Thighs                 2.22
5 Whole Legs             2.04

Get date of lowest price per product

poultry %>%
  arrange(Price_Dollar) %>%
  select(Product, Month, Year, Price_Dollar) %>%
  group_by(Product) %>%
  slice(1)
# A tibble: 5 x 4
# Groups:   Product [5]
  Product        Month    Year Price_Dollar
  <chr>          <chr>   <dbl>        <dbl>
1 B/S Breast     January  2012         6.38
2 Bone-in Breast January  2013         3.90
3 Thighs         July     2004         2.00
4 Whole          January  2004         1.98
5 Whole Legs     January  2004         1.94

Reuse

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Citation

For attribution, please cite this work as

Wheeler (2021, Dec. 28). Data Analytics and Computational Social Science: HW2. Retrieved from https://github.com/DACSS/dacss_course_website/posts/hw2/

BibTeX citation

@misc{wheeler2021hw2,
  author = {Wheeler, Adam},
  title = {Data Analytics and Computational Social Science: HW2},
  url = {https://github.com/DACSS/dacss_course_website/posts/hw2/},
  year = {2021}
}