The purpose of this project was to analyze the web accessibility errors present on the most commonly visited websites. In order to complete this project, a list of the top 1M most commonly visited websites was collected from Tranco, then the top 100 websites (and eventually 36 more) were input into the WAVE API. The output from the WAVE API, a dataset including the webpage name, types of errors found on the page, the count of each type of error found on the page, etc., was further processed into clean usable data. Once this data was cleaned, data visualizations were made to better understand the data. This data exploration project was completed with skills learned from Dr. Yu's Udemy Course, "100 Days of Python: The Complete Python Pro Bootcamp," and the sofwares used were Pycharm and Google Colab.