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A package that allows you to easily profile your dataframe, check for missing values, outliers, data types.

Project description

Data Frame Profiling - A package that allows to easily profile your dataframe, check for missing values, outliers, data types.

    Import Lib
  • from df_profiling import DF_Profiling
    Profile your Data:
  • DF_Profiling.profiling("my_file.csv")

    Either using Google Colab or Saving it as csv file, use the filter options to easily check for:
  • Data Types
  • Counts
  • Missing Values Count
  • Missing Values Percentage
  • Min Value
  • Quartiles: 1st, 3rd
  • Median
  • Lower Bound Limits
  • Upper Bound Limits
  • Max Value
  • Unique Values
  • Spot Potential Outliers

    Save / Export your Analyses

  • DF_Profiling.profiling("my_file.csv").to_csv("my_profiling.csv")

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