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Data-Scrubbing-and-Cleaning-for-Improved-Analysis
A demonstration of data cleaning techniques using Python's Panda libraries with the aim to prepare raw datasets for analysis by addressing inconsistencies, missing values, outliers, and other data quality issues.
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Data Validation
#6
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westrany
opened
7 months ago
westrany
commented
7 months ago
[ ] Validate the cleaned datasets to ensure that data quality issues have been effectively addressed.
[ ] Use data quality assessment metrics and methods to assess data completeness, accuracy, consistency, etc.
[ ] Check for any unintended consequences of data cleaning operations.