Architects' Tech Alliance
Dec 3, 2016 · Fundamentals
Effective Data Cleaning Practices and Tips
This article provides practical guidance on data cleaning, covering the importance of data wrangling, using assertions, handling incomplete records, checkpointing, testing on subsets, logging, optional raw data storage, and validating the cleaned dataset to ensure reliable downstream analysis.
AssertionsCheckpointdata cleaning
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