Library Carpentry ARA hack: OpenRefine

This ARA-SAT hack of a Library Carpentry lesson (made especially for UK Archives and Records Association event Data Wrangling with OpenRefine, 14 November 2019) introduces people working in archives to working with data in OpenRefine. At the conclusion of the lesson you will understand what the OpenRefine software does and how to use the OpenRefine software to work with data files.

Prerequisites

To complete this lesson you will need to install OpenRefine and download the file copy1-data_edit.csv. OpenRefine does not support Internet Explorer or Edge. Please use Firefox, Chrome or Safari instead. See Setup for more information.

Schedule

	Setup	Download files required for the lesson
00:00	1. Introduction to OpenRefine	What is OpenRefine? What can it do?
00:15	2. Importing data into OpenRefine	How do I get data into OpenRefine?
00:30	3. Layout of OpenRefine, Rows vs Records	How is data organised in OpenRefine? How do I access options to amend data in OpenRefine? What is the difference between Rows and Records in OpenRefine? How do I work with single cells that contain multiple values in a list?
00:45	4. Faceting and filtering	What is a facet in OpenRefine? What is a filter in OpenRefine? How can I use filters and facets to explore data OpenRefine? How can I easily correct common data issues in my data with OpenRefine?
01:05	5. Clustering	What is Clustering in OpenRefine and when would you use it? How does clustering work in OpenRefine?
01:25	6. Working with columns and sorting	How do I move, rename or remove columns in OpenRefine? How do I sort data in OpenRefine?
01:35	7. Introduction to Transformations	How do I use transformations to programmatically edit my data? What are the kind of transformations Open Refine supports? What is GREL?
01:45	8. Writing Transformations	Where do I write GREL expressions in the OpenRefine interface? How do I write a valid GREL expression?
02:00	9. Transformations - Undo and Redo	How do the Undo and Redo features work?
02:05	10. Transforming Strings, Numbers, Dates and Booleans	How do I use transformations to programmatically edit my data? How do I transform the various data types?
02:25	11. Transformations - Exporting	How do I export transformed data?
02:30	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.