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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