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tcharrisson / PP22-C628

This dataset contains rankings of the world universities as maintained by Quacquarelli Symmonds. QS is a British think-tank company specializing in the analysis of higher education institutions throughout the world. QS uses 6 factors for their ranking framework wiz. Academic Reputation, Employer Reputation, Faculty to Student Ratio, Number of citations per faculty, International Faculty, International Students. Another feature included in this data was Classification (which is not used for ranking) which included the institution's size, subject range, research intensity, age, and status. This data can be used to analyze a specific set of universities' performances over the years as seen by QS. The scores can be an indicator of how well or bad have the universities performed in comparison to the last year.
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data cleaning #6

Open tcharrisson opened 2 years ago

tcharrisson commented 2 years ago

will have to make sure that in arranging and cleaning our data we avoided plagiarism of any sort.

husainridwan commented 2 years ago

I believe we can use different methods and be more comprehensive with our data cleaning and also comment alongside it to explain better.

helen-oy commented 2 years ago

Our data sets should be well structured for ease when performing our EDA, modeling and Evaluation.