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Exploratory Data Analysis (EDA) Exercise

A list of exercises to test Pythons - Pandas, Matplotlib, Numpy libraries

Topics covered included

  • Getting and knowing the dataset

    • reading excel, cvs files
    • understanding the shape of dataset
    • Generate descriptive statistics
  • Filtering and sorting

    • filtered dataframe using boolean indexing
    • sorted values in the dataset
    • deleting columns / null values
  • Grouping

    • split the data into groups based on some criteria
    • compute a summary statistic (or statistics) for each group
    • perform some group-specific computations
    • discard some groups, based on group-wise computation
  • Apply

    • function accepts a series and returns a series
    • function can be applied on either axix - column (0) or row (1)
  • Merge

    • merge multiple csv files into one
  • Stats

    • Computed descriptive statistics - mean, median, mode etc.
  • Visualization

    • Matplotlib, Seaborn - Pie chart, histogram etc.

source - https://github.com/guipsamora/pandas_exercises

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