Blog Post 5

Visualizing Sales of Eggs: Part 2

Shruti Shelke
2-20-2022

For this analysis I’m chosing dataset poultry_tidy.csv from our classroom. I begin by loading in the dataset using the read_csv() function in the tidyverse.

library(knitr)
library(tidyverse)
data <- read_csv("/Users/shrutishelke1999/Downloads/poultry_tidy - poultry_tidy.csv")
head(data)
# A tibble: 6 × 4
  Product  Year Month    Price_Dollar
  <chr>   <dbl> <chr>           <dbl>
1 Whole    2013 January          2.38
2 Whole    2013 February         2.38
3 Whole    2013 March            2.38
4 Whole    2013 April            2.38
5 Whole    2013 May              2.38
6 Whole    2013 June             2.38

After running the code from my last blog post, I’m curious to see how the different products were sold accross different years. To visualize that efficiently, facet_wrap seems like a good function to explore within the ggplot library.

ggplot(data, aes(Year,Price_Dollar, color = Product)) +
geom_col() +
  labs(x = "Year of Production", y = "Price of eggs in Dollars", title = "Selling of Eggs by Year")+ 
  facet_wrap(~Product)

B/S Breasts seem to have the highest selling in 2012. This makes me wonder if there’s a particular month in which the selling is higher than usual. Let’s plot the selling for B/S breasts by month.

library(ggthemes)
filter <- data %>% 
  filter(Product == "B/S Breast") 
head(filter)
# A tibble: 6 × 4
  Product     Year Month    Price_Dollar
  <chr>      <dbl> <chr>           <dbl>
1 B/S Breast  2013 January          7.04
2 B/S Breast  2013 February         7.04
3 B/S Breast  2013 March            7.04
4 B/S Breast  2013 April            7.04
5 B/S Breast  2013 May              7.04
6 B/S Breast  2013 June             7.04
ggplot(filter,aes(Year,Price_Dollar)) +
  geom_col() +
  facet_wrap(~Month)
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Citation

For attribution, please cite this work as

Shelke (2022, May 19). Data Analytics and Computational Social Science: Blog Post 5. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomsshelke901517/

BibTeX citation

@misc{shelke2022blog,
  author = {Shelke, Shruti},
  title = {Data Analytics and Computational Social Science: Blog Post 5},
  url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomsshelke901517/},
  year = {2022}
}