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Introduction to OpenRefine
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- OpenRefine is 'a tool for working with messy data'
- OpenRefine works best with data in a simple tabular format
- OpenRefine can help you split data up into more granular parts
- OpenRefine can help you match local data up to other data sets
- OpenRefine can help you enhance a data set with data from other sources
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Importing data into OpenRefine
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- Use the 'Create Project' option to import data
- You can control how data imports using options on the import screen
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Basic OpenRefine functions I: Working with columns, sorting, faceting, filtering and clustering
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- You can reorder, rename and remove columns in OpenRefine
- You can use facets and filters to explore your data
- You can use facets and filters work with a subset of data in OpenRefine
- You can easily correct common data issues using Facets and Clustering
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Basic OpenRefine functions II:
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- You can alter data in OpenRefine based on specific instructions
- You can expand the data editing functions that are built-in into OpenRefine by building your own
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Advanced OpenRefine functions
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- OpenRefine can look up custom URLs to fetch data based on what's in an OpenRefine project
- Such API calls can be custom built, or one can use existing Reconciliation services to enrich data
- OpenRefine can be further enhanced by installing extensions
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