Rstudio Technical Appendix Data Stats Programming Worksheet

Read the assignment instructions I provided, start a Technical Appendix, save a graph using ggplot2, and create a brief memo using RMarkdown.

Participation Activity #2
Now we get to start exploring data! In PA 2 you will examine a data set on the sales of two
brands of orange juice in what will eventually be your first Technical Appendix, save a graph
using ggplot2, and create a brief memo. The goal of this assignment is to get you started using
ggplot, the workflow process and using RMarkdown.
1. Create a project folder for PA2 with RStudio because there will be a number of files
2. Download the OJ_Data.csv data and the OJ_Read_me.txt file into the project folder
3. Read the OJ_Read_me.txt file
4. Create a RNotebook for PA2 with RStudio
o
write a code header and a clear the environment/packages
5. Load any packages you will use analyzing the OJ data
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create a code chunk using key-stroke short-cut ctrl
Option + i on a mac OS X
for example library(ggplot2)
+ alt + i
on a PC or Cmd
+
6. Load the OJ_Data.csv data into the PA1 RNotebook
o
o
you should create a new code chunk for each step of analysis
make sure both of your PA2.Rmd and OJ_Data.csv are in your PA2 project folder
7. Use head(), str() and summary() to learn more about the data
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this is generally the first step of an EDA
you may want to convert STORE to be a factor using oj$STORE