{"id":1072,"date":"2016-10-23T22:01:58","date_gmt":"2016-10-24T05:01:58","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=1072"},"modified":"2016-10-23T22:01:58","modified_gmt":"2016-10-24T05:01:58","slug":"week-4-data-visualization-of-stock-market-indexes","status":"publish","type":"post","link":"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/23\/week-4-data-visualization-of-stock-market-indexes\/","title":{"rendered":"Week 4: Data Visualization of Stock Market Indexes"},"content":{"rendered":"<p>The dataset I worked on is the statistics of the Dow-Jones and S&amp;P 500 stock market indexes from 1991 to 2011 based on Yahoo! Finance&#8217;s historical stock quotations page. The stock market indexes have been widely used as an indicator of the growth of the economy or the stability of the financial market. As their data is often used by investors to determine the optimal time for investment, the following <a href=\"https:\/\/plot.ly\/~haiweicao\/1\/\">data visualization<\/a> is created in accordance with the visualization principles listed in <i>Data Points<\/i>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1146\" src=\"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-23-at-10.00.31-PM.png\" alt=\"screen-shot-2016-10-23-at-10-00-31-pm\" width=\"797\" height=\"456\" srcset=\"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-23-at-10.00.31-PM.png 797w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-23-at-10.00.31-PM-300x172.png 300w, https:\/\/miriamposner.com\/classes\/dh101f16\/wp-content\/uploads\/sites\/5\/2016\/10\/Screen-Shot-2016-10-23-at-10.00.31-PM-768x439.png 768w\" sizes=\"auto, (max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px\" \/>The Cartesian coordinate system, with time on the x-axis and the values of the two indexes on the y-axis, creates the framework of observing the fluctuations of the stock market throughout time. In this framework, investors can easily pinpoint the rising or the dropping points of the stock market and therefore induct the factors that caused the stock indexes to fluctuate. For the same reason, direction is used as the visual cue so that investors can easily see the boom or bust periods of the stock market from the slope of the plots. The context of the visualization can be easily clarified with the title \u201cStock Market Indexes from 1991 to 2011\u201d.<\/p>\n<p>It is interesting to note that the scales of the two stock market indexes differ. While the the values of the Dow-Jones Index range from 2,700 to 12,000, the counterparts of the S&amp;P 500 are between 300 and 1,300. Therefore, it is important to use the log scale on the y-axis (increments by a factor of 10) so that the fluctuations within the two indexes can be relatively comparable on the same graph.<\/p>\n<p>The visualized data shows an incredible parallel between the two stock market indexes as one can easily observe that the two lines follow the same trend of fluctuations throughout time. One cannot see the correlation clearly just by looking at the data itself without continuously punching numbers into a calculator. Therefore, visualizing data can have the advantage of demonstrating the correlation within data without one diving deep into it.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The dataset I worked on is the statistics of the Dow-Jones and S&amp;P 500 stock market indexes from 1991 to 2011 based on Yahoo! Finance&#8217;s historical stock quotations page. The &hellip; <a href=\"https:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/23\/week-4-data-visualization-of-stock-market-indexes\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Week 4: Data Visualization of Stock Market Indexes&#8221;<\/span><\/a><\/p>\n","protected":false},"author":74,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1072","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\/1072","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\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=1072"}],"version-history":[{"count":0,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/1072\/revisions"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=1072"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=1072"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=1072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}