n the Lecture Notes for Logit/Probit/Interaction models, there was an example about predicting rain. In that example, it used Wind Direction as one of the variables. The Wind Direction variable consists of an integer, from 0 to 359, that represents the direction of the prevailing highest wind on that day.

As part of the example, I transformed this numerical variable into a categorical variable, representing 8 of the cardinal directions. I would like you to explore how to do and identify some of the areas of concern with transforming numerical data into categories. I've attached the file of the raw data.

You should identify the following in your answer:

1) What sources you used to categorize the wind data

2) What categories you chose

3) What process you used to create the categories (if using R, what functions - if you didn't use R, how did you do it)