Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
prone to typos, there are no consistent IDs between them. census_A census_B Step1. Generating Pairs Its ideal to generate all possible pairs between the DataFrames. But if DataFrames were big it would create millions if not billions of pairs which is not scalable . For this we use Blocking —