{"id":14196,"date":"2020-08-12T11:00:22","date_gmt":"2020-08-12T01:00:22","guid":{"rendered":"https:\/\/testblogs.griffith.edu.au\/library\/?p=14196"},"modified":"2020-08-12T11:01:12","modified_gmt":"2020-08-12T01:01:12","slug":"learn-data-wrangling-skills","status":"publish","type":"post","link":"https:\/\/testblogs.griffith.edu.au\/library\/2020\/08\/12\/learn-data-wrangling-skills\/","title":{"rendered":"Learn data wrangling skills"},"content":{"rendered":"<p><span data-contrast=\"auto\">Wish you knew how to\u00a0<\/span><span data-contrast=\"auto\">standardise<\/span><span data-contrast=\"auto\">\u00a0messy data? We can help!\u00a0\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Missing, messy or inconsistent data can easily undermine your analysis. By using a few simple processes, you can cut down the time and effort you spend cleaning data and start figuring out what your data is telling you.<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">If you are\u00a0<\/span><span data-contrast=\"auto\">an<\/span><span data-contrast=\"auto\">\u00a0HDR candidate or researcher who needs time-efficient methods to explore, clean and prepare data, come along to our upcoming workshop,\u00a0<\/span><a href=\"https:\/\/www.cvent.com\/events\/introduction-to-data-wrangling-with-openrefine\/event-summary-603770448b8d48289d8bef728edac964.aspx\"><span data-contrast=\"none\">Introduction to Data Wrangling with\u00a0<\/span><span data-contrast=\"none\">OpenRefine<\/span><span data-contrast=\"none\">.<\/span><span data-contrast=\"none\">\u00a0<\/span><span data-contrast=\"auto\">Open<\/span><span data-contrast=\"auto\">R<\/span><span data-contrast=\"auto\">efine<\/span><span data-contrast=\"auto\">\u00a0is<\/span><\/a><span data-contrast=\"auto\">\u00a0an open source tool\u00a0<\/span><span data-contrast=\"auto\">used\u00a0<\/span><span data-contrast=\"auto\">to explore, clean,\u00a0<\/span><span data-contrast=\"auto\">organise<\/span><span data-contrast=\"auto\">, combine and transform data. You don\u2019t need to know how to code and no prior software knowledge is required.\u00a0\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The online, hands-on workshop includes basic data cleaning techniques such as:\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Exploring columns of data through facets and filters\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Implementing \u2018tidy data\u2019 principles\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Cleaning,\u00a0<\/span><span data-contrast=\"auto\">organising<\/span><span data-contrast=\"auto\">\u00a0and preparing data for analysis\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Creating reusable scripts to perform the same tasks on similar data\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Once you have learned the basics, the\u00a0<\/span><a href=\"https:\/\/www.cvent.com\/events\/advanced-data-wrangling-with-openrefine\/event-summary-cbb6d8c3cb364030853d4bd086e6dc7f.aspx\"><span data-contrast=\"none\">Advanced Data Wrangling with\u00a0<\/span><span data-contrast=\"none\">OpenRefine<\/span><span data-contrast=\"none\">\u00a0<\/span><\/a><span data-contrast=\"auto\">workshop\u00a0<\/span><span data-contrast=\"auto\">in September<\/span><span data-contrast=\"auto\">\u00a0will help you combine, geolocate and perform \u201cwhat if\u201d exploration of data in tables.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For more on how we can help, check out the Library\u2019s support for\u00a0<\/span><a href=\"https:\/\/www.griffith.edu.au\/library\/research-publishing#data\"><span data-contrast=\"none\">working with data<\/span><\/a><span data-contrast=\"auto\">\u00a0or\u00a0<\/span><a href=\"https:\/\/auth.griffith.edu.au\/idp\/SSO.saml2\"><span data-contrast=\"none\">contact us<\/span><\/a><span data-contrast=\"auto\">\u00a0about your research data needs.\u00a0\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wish you knew how to\u00a0standardise\u00a0messy data? We can help!\u00a0\u00a0\u00a0\u00a0 Missing, messy or inconsistent data can easily undermine your analysis. By using a few simple processes, you can cut down the time and effort you spend cleaning data and start figuring out what your data is telling you.\u00a0\u00a0 If you are\u00a0an\u00a0HDR candidate or researcher who needs [&hellip;]<\/p>\n","protected":false},"author":152,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_newsletter_tier_id":0,"footnotes":""},"categories":[4,5],"tags":[],"class_list":["post-14196","post","type-post","status-publish","format-standard","hentry","category-academics","category-researchers"],"acf":[],"modified_by":"Raelee Lancaster","jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/posts\/14196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/comments?post=14196"}],"version-history":[{"count":0,"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/posts\/14196\/revisions"}],"wp:attachment":[{"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/media?parent=14196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/categories?post=14196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testblogs.griffith.edu.au\/library\/wp-json\/wp\/v2\/tags?post=14196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}