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 cleansing #12

Closed helen-oy closed 2 years ago

helen-oy commented 2 years ago

Issue -data cleaning -Columns where renamed and variables were aligned -missing values were filled and sorted, -correlation was created based on missing data to describe the correlation between variables in accordance with missing data and nullity using heat maps.