markdown_files/Cleaning_Data_with_OpenRefine.md

metadata

title: Cleaning Data with OpenRefine
original_url: >-
  https://tds.s-anand.net/#/cleaning-data-with-openrefine?id=cleaning-data-with-openrefine
downloaded_at: '2025-06-08T23:26:48.911609'

Cleaning Data with OpenRefine

This session covers the use of OpenRefine for data cleaning, focusing on resolving entity discrepancies:

• Data Upload and Project Creation: Import data into OpenRefine and create a new project for analysis.
• Faceting Data: Use text facets to group similar entries and identify frequency of address crumbs.
• Clustering Methodology: Apply clustering algorithms to merge similar entries with minor differences, such as punctuation.
• Manual and Automated Clustering: Learn to merge clusters manually or in one go, trusting the system’s clustering accuracy.
• Entity Resolution: Clean and save the data by resolving multiple versions of the same entity using Open Refine.

Here are links used in the video:

• OpenRefine software
• Dataset for OpenRefine

[Previous

Data Preparation in the Editor](#/data-preparation-in-the-editor)

[Next

Profiling Data with Python](#/profiling-data-with-python)