{"id":526,"date":"2023-03-16T18:34:19","date_gmt":"2023-03-16T18:34:19","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/is270w25\/?p=526"},"modified":"2025-01-28T21:11:21","modified_gmt":"2025-01-28T21:11:21","slug":"week-4","status":"publish","type":"post","link":"https:\/\/miriamposner.com\/classes\/is270w25\/2023\/03\/16\/week-4\/","title":{"rendered":"Week 4"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\" id=\"data-analysis-visualization\">Data Analysis &amp; Visualization<\/h3>\n\n\n\n<p><em>It\u2019s spreadsheet time! You\u2019ll learn to do some data manipulation in Excel (or similar) and how a simple spreadsheet can become many different visualizations.<\/em><\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"read-view-and-listen\">Read, view, and listen<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Gregory, Ben. \u201cData Formats 101.\u201d Astronomer, n.d.&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.astronomer.io\/blog\/data-formats-101\" target=\"_blank\">https:\/\/www.astronomer.io\/blog\/data-formats-101<\/a>&nbsp;(article, 5 min.)<\/li>\n\n\n\n<li><a href=\"https:\/\/elitedatascience.com\/data-cleaning\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cData Cleaning\u201d<\/a>&nbsp;(article, 5 min.)<\/li>\n\n\n\n<li>Ruppert et al., <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/2053951717717749\">&#8220;Data Politics&#8221;<\/a> (article, 25 min.; you&#8217;ll need to log in via VPN)<\/li>\n\n\n\n<li>Elvia Arroyo-Ramirez, <a href=\"https:\/\/medium.com\/on-archivy\/invisible-defaults-and-perceived-limitations-processing-the-juan-gelman-files-4187fdd36759\">&#8220;Invisible Defaults and Perceived Limitations: Processing the Juan Gelman Files&#8221;<\/a> (article, 11 min.)<\/li>\n\n\n\n<li><a rel=\"noreferrer noopener\" href=\"https:\/\/shorthand.com\/the-craft\/examples-of-powerful-data-storytelling\/index.html\" target=\"_blank\">\u201c8 Examples of Powerful Data Storytelling\u201d<\/a>&nbsp;(just click around and investigate the examples)<\/li>\n\n\n\n<li>OPTIONAL, but do take a look, it&#8217;s really impressive: Klein et al., <a href=\"https:\/\/dataxdesign.io\/chapters\/description\">&#8220;Every Data Point a Person&#8221;<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"in-class-activities\">In-class activities<\/h4>\n\n\n\n<h4 class=\"wp-block-heading\">Slides<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1NfQA6tD61clv7Y2UNm52MxUygfS6VFsMBeaUy3ZU7TA\/edit?usp=sharing\">Slides: CMSs, Platforms, and Data<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/app.peardeck.com\/student\/tyozvlqtc\" target=\"_blank\" rel=\"noreferrer noopener\">Slides: Data Management Basics<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1nUlY4JoIqWGz_MWqp3QWkNfJvNlYzHNW64P6MQKhF_4\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">Slides: Visualization Basics<\/a><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Additional Materials<\/h4>\n\n\n\n<p><a href=\"https:\/\/flowingdata.com\/2017\/01\/24\/one-dataset-visualized-25-ways\/\" target=\"_blank\" rel=\"noreferrer noopener\">One dataset, visualized 25 ways<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/docs.google.com\/document\/d\/1h7LcZP8LduaKZw-U-e7N6paDSP3ZV_hlBxFsgNG8ENA\/edit?usp=sharing\" target=\"_blank\">Summary of good data management practices<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1vrkyZZObEoZKoBpFj79A3VrFdRrXelFtOsgUsmVCe4Q\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">The bad spreadsheet!<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/ucla.service-now.com\/support?id=kb_article&amp;sys_id=KB0012869\">Access Excel via Microsoft 365 for free<\/a> (please note the instructions in red for which email address to enter)<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"hands-on-tutorials\">Hands-On Tutorials<\/h3>\n\n\n\n<p>Because the class has a wide range of experience with Excel, today\u2019s activities have a bit of a choose-your-own-adventure aspect to them. Please select the path that reflects your own experience and interests.<\/p>\n\n\n\n<p>Please note that this week\u2019s homework will require you to use VLOOKUP and create a pivot table. (An alternative assignment is available for the tech-confident.)<\/p>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"i-need-to-learn-some-excel-basics\">I need to learn some Excel basics<\/h5>\n\n\n\n<p>The second slide of the&nbsp;<a href=\"https:\/\/docs.google.com\/presentation\/d\/19UxDu0CIIqqusNAU_Pq_kthnQUza27E-7vBLJ9l8iCw\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">Excel tutorial<\/a>&nbsp;will show you how to brush up on some basic Excel skills and terminology. Then continue through the Excel tutorial, followed by the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/app.peardeck.com\/student\/tpxggffwb\" target=\"_blank\">Flourish tutorial.<\/a><\/p>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"i-need-to-learn-to-make-a-pivot-table-and-use-vlookup\">I need to learn to make a pivot table and use VLOOKUP.<\/h5>\n\n\n\n<p>Start with the&nbsp;<a href=\"https:\/\/docs.google.com\/presentation\/d\/19UxDu0CIIqqusNAU_Pq_kthnQUza27E-7vBLJ9l8iCw\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">Excel tutorial<\/a>. When you\u2019re done, you can continue on to the&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/app.peardeck.com\/student\/tcklzjrpw\" target=\"_blank\">Flourish tutorial<\/a>.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"i-already-know-how-to-make-a-pivot-table-and-use-vlookup\">I already know how to make a pivot table and use VLOOKUP.<\/h5>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/app.peardeck.com\/student\/tenetfaac\" target=\"_blank\">Learn about OpenRefine<\/a>&nbsp;instead. OpenRefine is a tool that helps you clean up data. You can download it&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/openrefine.org\/download.html\" target=\"_blank\">here<\/a>. If your Mac won\u2019t let you open OpenRefine, press CONTROL, click on the OpenRefine application, and select OPEN from the menu.<\/p>\n\n\n\n<p>Once you\u2019re done with OpenRefine, you can continue to the&nbsp;<a href=\"https:\/\/app.peardeck.com\/student\/tcklzjrpw\" target=\"_blank\" rel=\"noreferrer noopener\">Flourish tutorial<\/a>.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\" id=\"i-already-know-about-openrefine-and-flourish\">I already know about OpenRefine and Flourish.<\/h5>\n\n\n\n<p>Get better at OpenRefine! Work through chapters 3 and 4 of&nbsp;<em><a href=\"https:\/\/search.library.ucla.edu\/permalink\/01UCS_LAL\/17p22dp\/alma9996720699806533\" target=\"_blank\" rel=\"noreferrer noopener\">Using OpenRefine<\/a><\/em>. (You\u2019ll need to click on the EBSCO link for online access.)<\/p>\n\n\n\n<p>Alternately, you can learn how to&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/cran.r-project.org\/doc\/contrib\/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf\" target=\"_blank\">use R for data cleanup<\/a>. (You might find this&nbsp;<a href=\"https:\/\/www.statmethods.net\/r-tutorial\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">quick intro to R&nbsp;<\/a>helpful.)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Analysis &#038; Visualization<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[4],"tags":[5],"class_list":["post-526","post","type-post","status-publish","format-standard","hentry","category-readings","tag-readings","entry"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/posts\/526","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/comments?post=526"}],"version-history":[{"count":8,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/posts\/526\/revisions"}],"predecessor-version":[{"id":875,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/posts\/526\/revisions\/875"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/media?parent=526"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/categories?post=526"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/is270w25\/wp-json\/wp\/v2\/tags?post=526"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}