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DTSTART;TZID=Europe/Berlin:20261008T100000
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DTSTAMP:20261007T113745Z
CREATED:20260914T141100Z
LAST-MODIFIED:20261007T113745Z
UID:2067-1791453600-1791464400@come2data.de
SUMMARY:Data Cleaning with Open Refine for Social Science Data
DESCRIPTION:Unfortunately\, the workshop cannot take place as planned. \n\nAn important part of the data workflow is preparing data for analysis. This often involves data cleaning\, where errors in the data are identified and corrected or formatting is made consistent.\n\nThis workshop introduces OpenRefine\, a powerful free open-source tool for cleaning and transforming messy data. The focus is on practical application; participants bring their own laptops for hands-on exercises on a dataset from the social sciences. The workshop uses material provided by the Data Carpentries (https://datacarpentry.github.io/openrefine-socialsci/index.html). You will learn how to:\n\n 	create\, export and import a project in OpenRefine\n 	view and work on subsets of rows using facets and text filters\n 	reduce variations in data through clustering\, bulk editing and transformations\n 	undo and redo actions and export the history of actions\n 	save cleaned data in a widely supported file format\n\nThis is a hands-on workshop. Please bring your own laptop. Also\, please make sure to install OpenRefine and download the datafile before the workshop. You will find the links and instructions to do so here: https://datacarpentry.github.io/openrefine-socialsci/index.html\n\n \n\nRegistration: \n\nhttps://terminplaner.dfn.de/public/bookings/c3f6f231-2c14-4715-9dc1-c645cb8cd0aa
URL:https://come2data.de/event/data-cleaning-with-open-refine-for-social-science-data/
LOCATION:Open Science Lab\, SLUB\, Zellescher Weg 21-25\, Dresden\, 01217
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