Project #2 DATA Tidying

Author

Michael Mayne

Project #2

Project # Precoding Approach

For this project, the goal focuses on working with and clearing untidy data. This project consists of working with and cleaning 3 data set then collecting and creating useful, analysis for the respective data sets.

This project need me to take untidy data for my classmates. This three I chosen was about Religions, Waste Management, and Disney Parks Attendance.

My goals are as follows:

  • Import all datasets as csv to load into the R console

  • All of the data sets are wide, so I will convert the data set from wide to long format. and organize via tidyverse. Usually having na.rm to deal with missing values as they don’t require a uniform average like the prior chess ELO data set earlier in the semester.

  • Peform analysis and use ggplot in order to create charts for each graph. For Waste management we can tell the distribution of facilities by county. Disney Park attendance see attendance growth between Florida and California respective parks, and finally in the Religions data comparison for their donations.