{"id":1068,"date":"2016-10-23T11:26:59","date_gmt":"2016-10-23T18:26:59","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=1068"},"modified":"2016-10-23T11:26:59","modified_gmt":"2016-10-23T18:26:59","slug":"data-visualization-for-moma","status":"publish","type":"post","link":"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/23\/data-visualization-for-moma\/","title":{"rendered":"Data Visualization for MOMA"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1069\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Graph--300x211.jpg\" alt=\"graph\" width=\"405\" height=\"285\" srcset=\"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Graph--300x211.jpg 300w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Graph--768x540.jpg 768w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Graph-.jpg 818w\" sizes=\"auto, (max-width: 405px) 85vw, 405px\" \/><\/p>\n<p>I choose to create a data visualization pertaining to the Museum of Modern Art (MOMA) dataset which I was assigned to in my group. The MOMA dataset contains numerous files regarding artists and their artworks. I specifically\u00a0chose to review the artist dataset and these files contain information that include where the artist was born, their nationality, what artworks are in the museum, their birth and death.<\/p>\n<p>For my data visualization I chose to represent the artist nationalities. I created this bubble\u00a0chart in order to clearly show the various nationalities and their representative sizes in the MOMA collection. I used the tableau application and selected all of the nationalities of the artists to create this chart. I thought this would be useful as the research question I proposed to my group was &#8220;Over the past 50 years, in what was has the museum expanded and incorporated non-western artworks into is collection in order to broaden the scope on a global perspective?&#8221;. Supporting the assumed nature of\u00a0my question, it is clear that American artists overpower all other nationalities. Furthermore, the bubbles that are larger than others encompass countries\u00a0of the Western world such as\u00a0Germany, France and Great Britain.<\/p>\n<p>As one scrolls directly on to each individual bubble, a pop up appears showing the name of the nationality as well as the number of records. It is interesting to note that the second largest bubble with 2446 records has no name for nationality. This aids me in my research as it shows that there are many artists in the dataset who do not have a nationality recorded. This suggests that I need to take out these artists out of my dataset or manually enter their nationalities in order to get a more representative graph.<\/p>\n<p>Through this graph, one can clearly see nationalities that have been barely represented through the museums collection. This is evidenced by the majority as exemplified by countries such as Malaysia, Costa Rica, and Cameroon only having 1-2 artworks displayed in the museum. It is also interesting to see the integration of non western artworks as countries such as Japan, Brazil and Argentina that have a larger concentration of artworks compared to other non western nationalities.<\/p>\n<p>Another issue that shows within this graph is the idea that only the larger represented nationalities have their names on display while the less represented do not. However, overall this bubble chart is helpful in determining data that needs to be cleaned as well as helping the narrative of my research question.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I choose to create a data visualization pertaining to the Museum of Modern Art (MOMA) dataset which I was assigned to in my group. The MOMA dataset contains numerous files &hellip; <a href=\"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/23\/data-visualization-for-moma\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Data Visualization for MOMA&#8221;<\/span><\/a><\/p>\n","protected":false},"author":65,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1068","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\/1068","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\/65"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=1068"}],"version-history":[{"count":0,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/1068\/revisions"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=1068"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=1068"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=1068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}