Introduction to OpenRefine – how to clean messy data
Sometimes data is messy and needs cleaning before you can analyze and visualize the data. For example, to merge different spellings (e.g. ‘Denmark’ and ‘DK’) or to delete blanks before a number. OpenRefine is an open source and free tool, which can help you clean messy data.
On the course you will have the opportunity to:
- Discuss the differences between the datatypes: string (text), number, date, boolean (binary, e.g. TRUE or FALSE) and arrays (lists).
- Import an excel-file to OpenRefine.
- Work with several data cleaning options in OpenRefine.
- Edit the data via OpenRefine’s graphical user interface as well as via simple coding.
- Export the file to excel after the cleaning.
You can work with your own data (excel-file), or you can use the excel-file provided by the instructor. If you bring your own file, you will have the opportunity to test whether OpenRefine is the right tool for your data.
This is a basic introduction, so you are not expected to have worked with OpenRefine before the course.
- Install OpenRefine on your computer: https://openrefine.org/download.html
- If possible, bring your own excel-file with messy data. If you have specific questions about how to clean you data, please send the question and excel-file to email@example.com at least two days before the course.
After the course you should have:
- A basic understanding of OpenRefine – for which data types and tasks you can use the tool.
- Imported/exported an excel file to/from OpenRefine.
- Worked with simple data cleaning operations via OpenRefine’s graphical user interface and via OpenRefine’s coding options (GREL and Regular Expressions).
- Instructor’s presentation (to be uploadet)
- Exercises that we will use at the course (to be uploadet)
- Excel file that you can use if you do not have your own data with you for the course (to be uploaded)
- Introduction to OpenRefine (textbook) https://ruben.verborgh.org/publications/verborgh_packt_2013/ - Copenhagen University Library has an electronic copy
Please note: If there are non-Danish speakers, this course will take place in English. (If all attendees are Danish speakers, it will take place in Danish.)
Related LibGuide: KUB Datalab by Halle Rashdan
- 13:00 - 14:00
- Time Zone:
- Central European Time (change)
- KUB Datalab - Nord