In this assignment, you will be analyzing two datasets about food access in the US$.$ The work you do in this

assignment will help tell different stories at different levels of granularity about food desserts within the US$.$

This homework is designed to test your data wrangling skills and by the end of this assignment you should be

able to do the following:

Clean and Join multiple datasets

Create and manipulate data frames

Run and write unit tests on R code.

Reminder $--$ This is an INDIVIDUAL assignment!

Assignment Overview

In this assignment you will be looking to understand characteristics of food deserts in the United States while

also comparing regions classified as food desert with their non$-$food desert counterparts. For this assignment, we

are going to use the US Department of Agriculture's definition of a food desert which is that a county is

considered a food desert if $33\%$ or more of the population in that county is located more than $1$ mile $($in urban

counties$)$ or $10$ miles $($in rural counties$)$ from the nearest supermarket or large grocery store.

Instructions

Your assignment can be accessed in

darr which contains four files: $"$hw$3.$r$","$hw$3\_$test.r$",$

"food$\_$access.csv$",$ and "CountyCodes.csv$".$ You'll be adding your code for this assignment in the $"$hw$3.$r$"$ file. For

each question$/$prompt in the $"$hw$3.$r$"$ file, write the necessary code to calculate the answer. For grading, it's

important that you store your answers in the variable names listed with each question in 'backtics'.