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")