26 Mar 2025
10


Data Cleaning

Data cleaning is the process of standardizing the data and making it meaningful. 

Data cleaning might mean removing unnecessary columns, changing particular words to upper case , removing space , removing a particular address or adding , removing duplicated words or columns or row, and removing invalid rows. 

You must always have one key goal in mind when dealing with data : that the data is high quality.

BULB: The Future of Social Media in Web3

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