HW 2

Reading in distill package

library(distill)

Reading in poultry data

poultry_data <- read.csv("poultry_tidy.csv", header=TRUE, stringsAsFactors=FALSE)

Previewing data

head(poultry_data)

##   Product Year    Month Price_Dollar
## 1   Whole 2013  January        2.385
## 2   Whole 2013 February        2.385
## 3   Whole 2013    March        2.385
## 4   Whole 2013    April        2.385
## 5   Whole 2013      May        2.385
## 6   Whole 2013     June        2.385

Identifying types of variables

str(poultry_data)

## 'data.frame':    600 obs. of  4 variables:
##  $ Product     : chr  "Whole" "Whole" "Whole" "Whole" ...
##  $ Year        : int  2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 ...
##  $ Month       : chr  "January" "February" "March" "April" ...
##  $ Price_Dollar: num  2.38 2.38 2.38 2.38 2.38 ...

There are four variables in this dataset, Product, Year, Month and Price_Dollar. Product is a character vector that names the type of poultry being sold. Year is an integer vector that presents the year the product was sold. Month is a character vector that coisides with the year it was sold. Price_Dollar is a numeric vector for the price at which each product was sold. This data could be useful to examin the change in poutlry cost over time.