steps to complete this homework

Question

 Download new Trump approval data using the url for the 538 website: https://projects.fivethirtyeight.com/trump-approval-data/approval_topline.csv. Be sure to download it from this link directly into R - do not download the .csv then load from your files. Use read_csv() and just paste in the url surrounded by “quotes”! Plot the approval (approve_estimate) of the President using data that aggregates all polls (check the subgroup variable). It might also be helpful to add the disapproval estimate to the same plot for extra context.

a.  Next, pick a period where approval ratings are out of the ordinary, or display some sort of unusual trend. Explain this trend using the events of that time period. For example, approval rating in January of 2019 was lower than normal due to the government shutdown.

Answer 1

1. visualize the approve_estimate column over time

2. do the same for each subgroup at a time

3. observe what subgroups have caused the strongest changes in approval. a great way to do this is to t-tests to compare subgroups throughout these time periods (when the approval is very high or low.

here's a video about t-tests if you're not already familiar: https://www.youtube.com/watch?v=QZ7kgmhdIwA

I'd be happy to help if you're still working on this.