{"id":1331,"date":"2016-10-25T00:00:34","date_gmt":"2016-10-25T07:00:34","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=1331"},"modified":"2016-10-25T00:00:34","modified_gmt":"2016-10-25T07:00:34","slug":"week-4-blog-data-visualization-of-ny-tenements","status":"publish","type":"post","link":"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/25\/week-4-blog-data-visualization-of-ny-tenements\/","title":{"rendered":"Week 4 Blog: Data Visualization of \u201cNY Tenements\u201d"},"content":{"rendered":"<p>My blog for this week features the visualization of &#8220;<em>NYC Tenement Photographs<\/em>&#8220;. \u00a0The <a href=\"http:\/\/digitalcollections.nypl.org\/collections\/photographs-taken-by-inspectors-of-the-new-york-city-tenement-house-department#\/?tab=about\">dataset <\/a>includes photographs taken by inspectors of the\u00a0New York city tenement house department from year 1934 to\u00a01938. \u00a0Although there are as many as 1102 photos in collection, only 6 data types are present. This obviously leads to difficulty in both finding information about each photo and classifying by\u00a0vague attributes. For example, the last datatype was &#8220;Title&#8221;, which is a combination of the name of the building in the photo and its corresponding address; some of the photos do not even have an address attached. Also, the photo urls in this dataset direct to the <a href=\"http:\/\/digitalcollections.nypl.org\/items\/b4afdefd-490f-146a-e040-e00a180610a2\">webpage<\/a> that displays the photo, instead of the photo itself. <img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-1364 size-thumbnail\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/fusion-150x150.png\" alt=\"fusion\" width=\"150\" height=\"150\" \/>After looking into the coding system of digital collections at the New York Public Library,\u00a0I discovered most of the true urls of the photos which unfortunately, still fail to display on Google Fusion Tables. Thus, the first tool that I utilized was <a href=\"http:\/\/www.wordle.net\">Wordle\u00a0<\/a>, a website that creates\u00a0word clouds according to\u00a0the frequency of words used in the selected text. By entering the Title data, I was able to create this word cloud. It indeed tells some of the essential and most frequently used information, such as the heavily populated area (Manhattan) and the \u00a0most common type of the buildings (storefronts). However, I still want a more clear and direct visualization.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1326\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/wordle-1-300x199.png\" alt=\"wordle\" width=\"300\" height=\"199\" srcset=\"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/wordle-1-300x199.png 300w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/wordle-1-768x508.png 768w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/wordle-1.png 1021w\" sizes=\"auto, (max-width: 300px) 85vw, 300px\" \/><\/p>\n<p>I filtered out all of the photos with a building address by using\u00a0OpenRefine. It resulted in 416 effective items, which\u00a0I used\u00a0Tableau to split the building type from the Title section, leaving lines of address alone in a new row. By optimizing the dataset, I was able to map the locations of photos. <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1333\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Untitled-300x109.png\" alt=\"untitled\" width=\"300\" height=\"109\" srcset=\"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Untitled-300x109.png 300w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Untitled-768x279.png 768w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Untitled-1024x372.png 1024w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Untitled.png 1047w\" sizes=\"auto, (max-width: 300px) 85vw, 300px\" \/>\u00a0And I think it provides a better visualization of the geographical distribution of NYC Tenements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>My blog for this week features the visualization of &#8220;NYC Tenement Photographs&#8220;. \u00a0The dataset includes photographs taken by inspectors of the\u00a0New York city tenement house department from year 1934 to\u00a01938. &hellip; <a href=\"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/25\/week-4-blog-data-visualization-of-ny-tenements\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Week 4 Blog: Data Visualization of \u201cNY Tenements\u201d&#8221;<\/span><\/a><\/p>\n","protected":false},"author":60,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1331","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/1331","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=1331"}],"version-history":[{"count":0,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/1331\/revisions"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=1331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=1331"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=1331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}