• It is a data preprocessing task to fix data quality issues and enhance data quality.
• You can perform several operations on any categorical or numerical data.

Data Preprocessing to

• Remove
• Whitespaces
• Line Breaks
• Null Rows and Columns
• Numbers from Strings
• Alphabets from Numbers
• Punctuations and Special Characters
• Modify casing in case of Textual Data 

When you want to remove any deformity or anomaly in the data.

When the data is clean and already preprocessed

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Unclean data

Cleansed Data

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