Forums » Discussions » The Ultimate Guide to Data Cleaning
The ultimate guide to data cleaning includes extraction, transformation and loading of data sets. These processes are supported by deep research, scripting for OCR conversion of files, storing data on the server and cleaning it from scratch. The cleaning covers de-duplicity, standardization, normalization, completing data, aggregation, or removing redundancies of any kind. Here is the exact process: • Create rows and/or columns with corrupt or missing data.
• Recode missing data into a different format
• Fill in missing & wrong values.
• Testing the quality using applications & manually also.
Some Useful Links Steps of Data Cleansing in Data Science What is Data Cleansing in Excel
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