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What are the best practices for data cleaning?

Answer»

Data cleaning - is the process of recognizing inaccurate or unethical data from a database. To ensure that the customer data is employed within the most efficient and meaningful manner , which will INCREASE the elemental value of the brand, business ENTERPRISES must give importance to data quality.

Steps for data cleaning –
  • For enormous datasets, break them into little information. Working with less information will SPEED up.
  • If you've got a problem with data cleanliness, arrange them by estimated frequency and attack the foremost common problems
  • Break down the synopsis measurements for every section (standard DEVIATION, mean, number of missing qualities).
  • Keep track of each DATE cleaning operation, so you'll alter changes or remove activities if required.
Also Read: Updated Business Analyst Questions for 2020


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