{"id":2211,"date":"2023-05-01T14:14:12","date_gmt":"2023-05-01T14:14:12","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=2211"},"modified":"2025-08-29T04:14:00","modified_gmt":"2025-08-29T04:14:00","slug":"complex-graphical-analysis-learn-it-2","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/complex-graphical-analysis-learn-it-2\/","title":{"raw":"Complex Graphical Analysis: Learn It 2","rendered":"Complex Graphical Analysis: Learn It 2"},"content":{"raw":"<h2>Heat Maps Cont.<\/h2>\r\n<p class=\"para\" style=\"margin: 6.0pt 0in 6.0pt 0in;\">This type of graphical display is commonly seen in the media. To understand what the graphical display conveys, we will need to be able to infer the type of dataset used to create the graphical display, identify the scale\/color used, identify the data source, recognize an accurate interpretation of the graphical display, and write a statement interpreting the graphical display.<\/p>\r\n<p>Let's take a look at a couple of heat maps and draw some conclusions.<\/p>\r\n<center>\r\n[caption id=\"attachment_1030\" align=\"aligncenter\" width=\"845\"]<img class=\"wp-image-1030 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5826\/2022\/09\/20180708\/Picture110.png\" alt=\"A map of the US titled Change in the working-age (25 to 54 years old) population from 2007 to 2017. The color of the map ranges from purple to orange, with more purple representing more negative percentages and orange representing more positive percentages.\" width=\"845\" height=\"438\" \/> Figure 1. A heat map of the United States examining the change of the working age (25-54 years old) population from 2007 to 2017[\/caption]\r\n<\/center>\r\n<p>[footnote]The Learning Network. (2019, September 26). What\u2019s going on in this graph? | Sept 25, 2019. The New York Times. https:\/\/www.nytimes.com\/2019\/09\/19\/learning\/whats-going-on-in-this-graph-sept-25-2019.html[\/footnote]<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1339[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1340[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1342[\/ohm2_question]<\/section>\r\n<p>A\u00a0<em>legend<\/em> of a map\u00a0is a description, explanation, or table of symbols printed on the map\u00a0to aid readers to understand and interpret the map better.<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1343[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1345[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1346[\/ohm2_question]<\/section>\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]1347[\/ohm2_question]<\/section>","rendered":"<h2>Heat Maps Cont.<\/h2>\n<p class=\"para\" style=\"margin: 6.0pt 0in 6.0pt 0in;\">This type of graphical display is commonly seen in the media. To understand what the graphical display conveys, we will need to be able to infer the type of dataset used to create the graphical display, identify the scale\/color used, identify the data source, recognize an accurate interpretation of the graphical display, and write a statement interpreting the graphical display.<\/p>\n<p>Let&#8217;s take a look at a couple of heat maps and draw some conclusions.<\/p>\n<div style=\"text-align: center;\">\n<figure id=\"attachment_1030\" aria-describedby=\"caption-attachment-1030\" style=\"width: 845px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1030 size-full\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5826\/2022\/09\/20180708\/Picture110.png\" alt=\"A map of the US titled Change in the working-age (25 to 54 years old) population from 2007 to 2017. The color of the map ranges from purple to orange, with more purple representing more negative percentages and orange representing more positive percentages.\" width=\"845\" height=\"438\" \/><figcaption id=\"caption-attachment-1030\" class=\"wp-caption-text\">Figure 1. A heat map of the United States examining the change of the working age (25-54 years old) population from 2007 to 2017<\/figcaption><\/figure>\n<\/div>\n<p><a class=\"footnote\" title=\"The Learning Network. (2019, September 26). What\u2019s going on in this graph? | Sept 25, 2019. The New York Times. https:\/\/www.nytimes.com\/2019\/09\/19\/learning\/whats-going-on-in-this-graph-sept-25-2019.html\" id=\"return-footnote-2211-1\" href=\"#footnote-2211-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a><\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1339\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1339&theme=lumen&iframe_resize_id=ohm1339&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1340\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1340&theme=lumen&iframe_resize_id=ohm1340&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1342\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1342&theme=lumen&iframe_resize_id=ohm1342&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<p>A\u00a0<em>legend<\/em> of a map\u00a0is a description, explanation, or table of symbols printed on the map\u00a0to aid readers to understand and interpret the map better.<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1343\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1343&theme=lumen&iframe_resize_id=ohm1343&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1345\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1345&theme=lumen&iframe_resize_id=ohm1345&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1346\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1346&theme=lumen&iframe_resize_id=ohm1346&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm1347\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=1347&theme=lumen&iframe_resize_id=ohm1347&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-2211-1\">The Learning Network. (2019, September 26). What\u2019s going on in this graph? | Sept 25, 2019. The New York Times. https:\/\/www.nytimes.com\/2019\/09\/19\/learning\/whats-going-on-in-this-graph-sept-25-2019.html <a href=\"#return-footnote-2211-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":15,"menu_order":5,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":88,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/2211"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":17,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/2211\/revisions"}],"predecessor-version":[{"id":15910,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/2211\/revisions\/15910"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/parts\/88"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/2211\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=2211"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=2211"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=2211"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=2211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}