{"id":1996,"date":"2023-01-12T11:16:07","date_gmt":"2023-01-12T16:16:07","guid":{"rendered":"https:\/\/research.ncsu.edu\/research-education\/event\/data-cleaning-with-r\/"},"modified":"2023-01-25T18:34:55","modified_gmt":"2023-01-25T23:34:55","slug":"data-cleaning-with-r","status":"publish","type":"tribe_events","link":"https:\/\/research.ncsu.edu\/research-education\/event\/data-cleaning-with-r\/","title":{"rendered":"Data Cleaning with R"},"content":{"rendered":"<p><a href=\"https:\/\/reporter.ncsu.edu\/link\/instanceview?courseID=LIB-DTAVIZ-RDCL&amp;deptName=LIB&amp;instanceID=000006\">Register for this workshop<\/a><\/p>\n<p>Often one of the most time-consuming aspects of doing research is cleaning your data. This workshop will provide participants with an overview and hands-on practice using data cleaning functions in R, specifically from the Tidyverse set of packages (<a href=\"https:\/\/www.tidyverse.org\/).\">https:\/\/www.tidyverse.org\/).<\/a> Topics will include loading data, subsetting, filtering, creating new columns, merging data, stripping out unwanted characters, reshaping data, and by-group processing. This hands-on workshop is most suited to participants who have some prior familiarity with R.<\/p>\n<p>Instructor: Joddy Marchesoni<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Register for this workshop Often one of the most time-consuming aspects of doing research is cleaning your data. 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