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Advance Guide Of Cleaning & 20+ ways of cleaning data with python

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Important To Know πŸ‘‡

Why Data Is Gold πŸ’΄

~ Every business interested in sustaining success because of data analysis and text analysis.Companies want to know customer feedback, sales patterns, and other customer information has quite literally become the gold standard for companies trying to establish a name for themselves.

What Exactly Is Data Cleaning?

~ Data cleaning means fixing or deleting any inaccurate, incomplete, or redundant information.

Good Quality Data = $πŸ’²$

~ That's "clean data," which is defined as information that the potent data analysis engines you invested in can truly utilise.

Other Processes along Cleaning

~ Data preparation, data cleaning, and data scrubbing work together to transform your unorganised, potentially problematic data into clean data.

Cleaning Data With The "1-100 Bad Data Principle"

understand this,

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