Combined Data Cleansing

Combined Data Cleansing

Combined Data Cleansing

Description

  • 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.

Why to use

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 to use

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

When not to use

When the data is clean and already preprocessed

Prerequisites

 -

Input

Unclean data

Output

Cleansed Data

Statistical Methods used

-

Limitations

-

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