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Data cleaning + data visualisation to explore whether there is any correlation between a student's income and GPA

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Visualisation for correlation between Income versus Cumulative GPA

Sample taken from students of SMU through stratified sampling (with the 6 schools being the 6 strata).

Technologies used:

  • Pandas
  • StatsModels
  • Matplotlib
  • Seaborn

cleanData.py used for data cleaning to ensure GPAs collected were legitimate by removing GPAs that were impossible. visualise.ipynb used to visualise the data collected.

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Data cleaning + data visualisation to explore whether there is any correlation between a student's income and GPA

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