Data cleaning

What is Data cleaning?

Data cleaning meaning Processing a dataset to make it easier to consume. This may involve fixing inconsistencies and errors, removing non-machine-readable elements such as formatting, using standard labels for row and column headings, ensuring that numbers, dates, and other quantities are represented appropriately, conversion to a suitable file format, reconciliation of labels with another dataset being used (see data integration), etc. See data quality.

 

reference: Open Data Handbook – Glossary

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