https://github.com/msikorski93/detecting-outliers-in-a-dataset
An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.
https://github.com/msikorski93/detecting-outliers-in-a-dataset
elliptic-envelope interquartile-ranges isolation-forest outliers sql-server z-score
Last synced: 2 months ago
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An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.
- Host: GitHub
- URL: https://github.com/msikorski93/detecting-outliers-in-a-dataset
- Owner: msikorski93
- Created: 2022-03-31T21:33:34.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-06T12:59:49.000Z (about 2 years ago)
- Last Synced: 2025-01-09T07:51:37.781Z (4 months ago)
- Topics: elliptic-envelope, interquartile-ranges, isolation-forest, outliers, sql-server, z-score
- Language: Jupyter Notebook
- Homepage:
- Size: 1.82 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Detecting-Outliers-in-a-Dataset
An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.
March 2023 update with SQL queries for outlier seaching using statistical methods (IQR and Z-score) in SQL Server 2019.