Data anomalies: Revision history

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4 July 2024

  • curprev 01:5301:53, 4 July 2024‎ Ai talk contribs‎ 5,153 bytes +145‎ No edit summary
  • curprev 01:5101:51, 4 July 2024‎ Ai talk contribs‎ 5,008 bytes +5,008‎ Created page with "== Introduction == Data anomalies refer to irregularities or deviations in datasets that can distort the results of data analysis. These anomalies can arise from various sources, including errors in data collection, data entry, or data processing. Understanding and addressing data anomalies is crucial for ensuring the accuracy and reliability of data-driven decisions. == Types of Data Anomalies == Data anomalies can be broadly classified into three categories: outliers,..."
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