This python script using "pola-rs" library provides at one shot, an excel sheet having facts of your data (polars data frame). It contains all pivotal statistical descriptions of all columns needed for Machine Learning / Data Science projects namely., data type, number of non-missing , number of missing, missing percentage, distinct, min, max, mean, median, mode in sheet for quick understanding/ interpretation purposes.
required libraries - pola-rs, requests, and xlsxwriter
Usage:
import requests; exec(requests.get('https://raw.githubusercontent.com/pradeepmav/fact_check_of_the_data/aeacfa4123c0f826c5c6ecf060f05907e68f1612/FCOTD.py').text); fact_check_of_the_data(any/yourpolarsdataframe)
Also, Kaggle Notebook for quick run - https://www.kaggle.com/code/pradeep13/fact-checks-of-the-data-for-decoding-online-sales