26 Mar 2025
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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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