What are the best practices for data cleansing?

What are the best practices for data cleansing?

Data cleansing involves several best practices, such as removing duplicates, standardizing formats, and validating data accuracy.

Can you explain how to identify duplicates in a dataset?

To identify duplicates, you can use techniques like sorting data, using unique identifiers, or employing software tools that highlight duplicates.

What tools do you recommend for data cleansing?

Some popular tools for data cleansing include OpenRefine, Trifacta, and Talend, which offer various features for data quality.

How often should data cleansing be performed?

Data cleansing should be performed regularly, ideally as part of your data management process, to maintain data quality.