AP®️ Statistics is all about accumulating, displaying, summarizing, deciphering, and making inferences from data. In essence, this involved cleaning the raw data, normalizing the university names throughout the rankings, and combining the three rankings into one by averaging the place of each establishment throughout every ranking. In the simplest instances, this involved finding the underlying API, allowing me to instantly request the rating information in JSON format using Scrapy.

- Fourth, I used the Class Central database, with its over 150K online programs, to search out all the math courses offered by the colleges within the rating.
- In essence, this concerned cleaning the uncooked knowledge, normalizing the college names across the rankings, and mixing the three rankings into one by averaging the position of every establishment across every ranking.
- I did so by combining well-liked university rankings to identify the best institutions, after which I used the Class Central database to search out all their math on-line programs.
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