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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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EDA univariant analysis #5

Open tcharrisson opened 2 years ago

tcharrisson commented 2 years ago

will have to carry out analysis on each metric against the target- score to find out how the metric affects the overall score. the findings here will be represented in graphs that will clearly explain the points

Godwin110 commented 2 years ago

Univariant analysis is what I've been assigned to work on

rastogi9318 commented 2 years ago

I have done some univariate analysis on the project

tcharrisson commented 2 years ago

Yes bro.. I saw it and I have just merged it..