Data Cleansing

Data cleansing is the process of correcting or removing inaccurate, incomplete, or inconsistent data to improve its Data Quality for analysis. Involves:

• Handling Outliers
• Handling Missing Data
• Handling Different Distributions

In DE_Tools see:

• https://github.com/rhyslwells/DE_Tools/blob/main/Explorations/Cleaning/Dataframe_Cleaing.ipynb
• https://github.com/rhyslwells/DE_Tools/blob/main/Explorations/Cleaning

Related terms:

• Data Selection

Follow-up questions:

• Deleting rows or filling them with the mean is not always best