5 Useful Python Scripts for Automated Data Quality Checks
Image by Author Contents# Introduction# 1. Analyzing Missing Data# 2. Validating Data Types# 3. Detecting Duplicate Records# 4. Detecting Outliers# 5. Checking Cross-Field Consistency# Wrapping Up # Introduction Data quality problems are everywhere. Missing values where there shouldn’t be any. Dates in the wrong format. Duplicate records that slip through. Outliers that skew your analysis. Text fields with inconsistent capitalization and spelling …
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