{"id":60,"date":"2019-01-04T20:05:35","date_gmt":"2019-01-04T20:05:35","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh201w22\/?page_id=60"},"modified":"2022-01-05T13:01:08","modified_gmt":"2022-01-05T21:01:08","slug":"homework-2","status":"publish","type":"page","link":"http:\/\/miriamposner.com\/classes\/dh201w22\/other-assignments\/homework-2\/","title":{"rendered":"Homework 2: Due January 20"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.dropbox.com\/s\/4eorvankr8l0f7l\/grants.csv?dl=1\">This dataset<\/a> has some problems (at least according to conventional wisdom about data). Please download it and open it in OpenRefine. Then:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>eliminate leading and trailing whitespace throughout.<\/li><li>standardize the county names (the very last column).<\/li><li>separate the applicant city and state names (in the column entitled &#8220;Applicant City&#8221;) into two columns.<\/li><\/ul>\n\n\n\n<p>Please see our <a href=\"http:\/\/miriamposner.com\/classes\/dh201w22\/tutorials-guides\/data-cleaning-and-manipulation\/getting-started-with-openrefine\/\" data-type=\"page\" data-id=\"88\">OpenRefine guide<\/a> if you need a refresher.<\/p>\n\n\n\n<p>Submit the &#8220;cleaned&#8221; dataset as a CSV, under the appropriate assignment on BruinLearn.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Further reading<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">On the ontology and history of data<\/h3>\n\n\n\n<p>Battle-Baptiste, Whitney, and Britt Rusert. <em>W.E.B Du Bois\u2019s Data Portraits: Visualizing Black America<\/em>. Hudson, NY: Princeton Architectural Press, 2018.    <\/p>\n\n\n\n<p> Borgman, Christine L. <em>Big Data, Little Data, No Data: Scholarship in the Networked World<\/em>. Cambridge, Mass.: The MIT Press, 2015.     <\/p>\n\n\n\n<p> Gitelman, Lisa. <em>Always Already New: Media, History and the Data of Culture<\/em>. Cambridge, Mass: MIT Press, 2006.      <\/p>\n\n\n\n<p>\u2014\u2014\u2014. <em>\u201cRaw Data\u201d Is an Oxymoron<\/em>, 2013.      Halpern, Orit. <em>Beautiful Data: A History of Vision and Reason Since 1945<\/em>, 2014.    <\/p>\n\n\n\n<p><a href=\"https:\/\/data-matters.nyc\/?p=18579\">Luther, Anne. \u201cLocal Data Design: An Interview with Professor Yanni Loukissas.\u201d Data Matters, 13 July 2017<\/a>.<\/p>\n\n\n\n<p>McGlotten, Shaka. \u201cBlack Data.\u201d Accessed January 31, 2017. <a href=\"http:\/\/sfonline.barnard.edu\/traversing-technologies\/shaka-mcglotten-black-data\/\">http:\/\/sfonline.barnard.edu\/traversing-technologies\/shaka-mcglotten-black-data\/<\/a>.     <\/p>\n\n\n\n<p>Owens, Trevor. \u201cDefining Data for Humanists: Text, Artifact, Information or Evidence?\u201d <em>Journal of Digital Humanities<\/em>, March 16, 2012. <a href=\"http:\/\/journalofdigitalhumanities.org\/1-1\/defining-data-for-humanists-by-trevor-owens\/\">http:\/\/journalofdigitalhumanities.org\/1-1\/defining-data-for-humanists-by-trevor-owens\/<\/a>.      <\/p>\n\n\n\n<p>Poovey, Mary. <em>A History of the Modern Fact Problems of Knowledge in the Sciences of Wealth and Society<\/em>. Chicago\u202f: University of Chicago Press, 1998.      <\/p>\n\n\n\n<p>Porter, Theodore. <em>Trust in Numbers: The Pursuit of Objectivity in Science and Public Life<\/em>. Princeton&nbsp; N.J.: Princeton University Press, 1995.    <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">On how to visualize data<\/h3>\n\n\n\n<p>Evergreen, Stephanie. <em>Effective Data Visualization: The Right Chart for the Right Data<\/em>. Los Angeles; London: SAGE Publications, 2017.     <\/p>\n\n\n\n<p>\u2014\u2014\u2014. <em>Presenting Data Effectively: Communicating Your Findings for Maximum Impact<\/em>. Los Angeles; London: SAGE Publications, 2018.    <\/p>\n\n\n\n<p>Friendly, Michael. \u201cA Brief History of Data Visualization.\u201d In <em>Handbook of Data Visualization<\/em>, 15\u201356. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. <a href=\"https:\/\/doi.org\/10.1007\/978-3-540-33037-0_2\">https:\/\/doi.org\/10.1007\/978-3-540-33037-0_2<\/a>.    <\/p>\n\n\n\n<p>Healy, Kieran. <em>Data Visualization: A Practical Introduction.<\/em> New Jersey: Princeton University Press, 2019.<\/p>\n\n\n\n<p>Heer, Jeffrey, Michael Bostock, and Vadim Ogievetsky. \u201cA Tour Through the Visualization Zoo.\u201d <em>ACM Queue<\/em> 8, no. 5 (May 2010). <a href=\"http:\/\/hci.stanford.edu\/jheer\/files\/zoo\/\">http:\/\/hci.stanford.edu\/jheer\/files\/zoo\/<\/a>.    <\/p>\n\n\n\n<p>Knaflic, Cole Nussbaumer, ed. <em>Storytelling With Data: A Data Visualization Guide for Business Professionals<\/em>. John Wiley &amp; Sons, Inc., 2015. <\/p>\n\n\n\n<p>Tufte, Edward R. <em>The Visual Display of Quantitative Information<\/em>. Cheshire, Conn.: Graphics Press, 2001.    <\/p>\n\n\n\n<p>Yau, Nathan. <em>Data Points: Visualization That Means Something<\/em>. Indianapolis, IN: John Wiley &amp; Sons, Inc, 2013.      <\/p>\n\n\n\n<p>\u2014\u2014\u2014. <em>Visualize This: The FlowingData Guide to Design, Visualization, and Statistics<\/em>. Indianapolis, Ind: Wiley, 2011.    <\/p>\n","protected":false},"excerpt":{"rendered":"<p>This dataset has some problems (at least according to conventional wisdom about data). Please download it and open it in OpenRefine. Then: eliminate leading and trailing whitespace throughout. standardize the&hellip; <a class=\"more-link\" href=\"http:\/\/miriamposner.com\/classes\/dh201w22\/other-assignments\/homework-2\/\">Continue reading <span class=\"screen-reader-text\">Homework 2: Due January 20<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":731,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_eb_attr":"","footnotes":""},"class_list":["post-60","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/pages\/60","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/comments?post=60"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/pages\/60\/revisions"}],"up":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/pages\/731"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh201w22\/wp-json\/wp\/v2\/media?parent=60"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}