Derick Mike

@derick22_mike33

Data Cleaning

Alemania

Alemán

Parte de la información aparece en idioma inglés.

Sobre mí

Data cleaning is the process of identifying, correcting, modifying, or removing inaccurate, incomplete, duplicate, inconsistent, and irrelevant data from a dataset to improve its quality, accuracy, and reliability. It involves checking data for errors, handling missing values, removing duplicate records, correcting spelling and formatting mistakes, standardizing data entries, and ensuring consistency across the dataset.... Lee más

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