{"id":650,"date":"2016-03-15T20:08:03","date_gmt":"2016-03-16T00:08:03","guid":{"rendered":"https:\/\/eiq.knx.mybluehost.me\/website_78d26930\/bigdatacourse?p=650"},"modified":"2016-03-16T08:26:31","modified_gmt":"2016-03-16T12:26:31","slug":"data-visualization-college-graduation-rates-by-state","status":"publish","type":"post","link":"https:\/\/jjsylvia.com\/bigdatacourse\/data-visualization-college-graduation-rates-by-state\/","title":{"rendered":"Data Visualization: College Graduation Rates by State"},"content":{"rendered":"

Group members- Cheyenne Taylor, Ellen McMullen, and Ward Williams<\/p>\n

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Our topic for this project is comparing college graduation rates by state. We chose Tableau\u00a0because it allows for a simple but clear visual. We chose the x-axis to be each state in the United States, and the y-axis for the graduation rates. Each point on the graph represents the average graduation rate. When clicking on a point it will also give you the number of how many students were graduated by the summer of 2009. The thickness of the lines increases based on how much higher a state’s graduation rate is (i.e. thinner lines are lower on the chart). The part of the chart that’s green is colored differently not because it’s the only one that isn’t a state, but because is has the highest number of people who graduated by the summer of 2009. The graph originally started as a scatter plot. We then changed it so that the circles are no longer lines. Our graph resembles a mountain, and much like a mountainous peak, a higher graduation rate isn’t necessarily an indicator of the top school, if anything it could make it harder to reach.<\/p>\n

 <\/p>\n

\"College<\/a><\/p>\n

 <\/p>\n

https:\/\/public.tableau.com\/profile\/publish\/Book2Project\/Dashboard1#!\/publish-confirm<\/p>\n","protected":false},"excerpt":{"rendered":"

Group members- Cheyenne Taylor, Ellen McMullen, and Ward Williams   Our topic for this project is comparing college graduation rates by state. We chose Tableau\u00a0because it allows for a simple but clear visual. We chose the x-axis to be each state in the United States, and the y-axis for the graduation rates. Each point on
+ Read More<\/a><\/p>\n","protected":false},"author":7,"featured_media":649,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-650","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-visualization"],"_links":{"self":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/650","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/comments?post=650"}],"version-history":[{"count":5,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/650\/revisions"}],"predecessor-version":[{"id":692,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/650\/revisions\/692"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media\/649"}],"wp:attachment":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media?parent=650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/categories?post=650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/tags?post=650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}