{"id":8448,"date":"2023-09-29T15:00:57","date_gmt":"2023-09-29T15:00:57","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=8448"},"modified":"2024-10-18T20:57:53","modified_gmt":"2024-10-18T20:57:53","slug":"complex-graphical-analysis-and-the-limits-of-modeling-get-stronger","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/complex-graphical-analysis-and-the-limits-of-modeling-get-stronger\/","title":{"raw":"Advanced Data Interpretation: Get Stronger","rendered":"Advanced Data Interpretation: Get Stronger"},"content":{"raw":"<p>For questions 1-6, you will be using a <em>New York Time<\/em>s graphical display called \u201cRacial Diversity by Neighborhood.\u201d[footnote]The Learning Network. (2020, February 28). What\u2019s going on in this graph | Racial diversity by neighborhood. The New York Times. https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-diversity-by-neighborhood.html[\/footnote]<\/p>\r\n<p>Please access the graphical display through the following link:<br \/>\r\n<a href=\"https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-diversity-by-neighborhood.html\">https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-divers ity-by-neighborhood.html.<\/a><\/p>\r\n<ol>\r\n\t<li>What do you notice from the graphical display?<\/li>\r\n\t<li>What do you wonder from the graphical display?<\/li>\r\n\t<li>What might be the purpose or intention of this graphical display?<\/li>\r\n\t<li>From 1980 to 2017, describe how the diversity of neighborhoods changed.<\/li>\r\n\t<li>If the graph was recreated using data from the 2020 U.S. Census, what do you think the new graph would show regarding diversity in our neighborhoods?<\/li>\r\n\t<li>How do you define diversity? Would you want to add\/remove anything from the graphical display?<\/li>\r\n<\/ol>\r\n<p>For questions 7-8, use the following graphical display[footnote]Martinez, R. (2012).\u00a0<em>Gender inequality around the world<\/em>. Health Intelligence. https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:embed=y&amp;:showVizHome=no[\/footnote] to answer the questions. You can interact with the graph at:<br \/>\r\n<a href=\"https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:showVizHome=no\">https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:showVizHome=no<\/a><\/p>\r\n<center><img class=\"size-full wp-image-13231 aligncenter\" src=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855.png\" alt=\"A heat map showing gender inequality around the world. Lighter shades of red indicate lower rates; darker shades of red indicate higher rates. Results are also shown in a table, answering the question \u201cWhich countries have the highest inequalities between women and men?\u201d The countries Yemen, Chad, Niger, Mali, Congo, Afghanistan, Papua New Guinea, Liberia, Central African Republic, and Sierra Leone are listed, and the rates (when available) for the years 1995, 2000, 2005, 2008, 2011.\" width=\"525\" height=\"600\" \/><\/center>\r\n<p>&nbsp;<\/p>\r\n<ol start=\"7\">\r\n\t<li>Describe the story you are getting from the graphical display in a few sentences.<\/li>\r\n\t<li>How would you rate the graphical display on the following seven criteria (very evident, evident but could be improved, or not evident)? Provide one or two sentences of support for each rating.\r\n\r\n<ul>\r\n\t<li>Part A: Design<\/li>\r\n\t<li>Part B: Precision<\/li>\r\n\t<li>Part C: Efficiency<\/li>\r\n\t<li>Part D: Use of time<\/li>\r\n\t<li>Part E: Use of color<\/li>\r\n\t<li>Part F: Use of space<\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ol>","rendered":"<p>For questions 1-6, you will be using a <em>New York Time<\/em>s graphical display called \u201cRacial Diversity by Neighborhood.\u201d<a class=\"footnote\" title=\"The Learning Network. (2020, February 28). What\u2019s going on in this graph | Racial diversity by neighborhood. The New York Times. https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-diversity-by-neighborhood.html\" id=\"return-footnote-8448-1\" href=\"#footnote-8448-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a><\/p>\n<p>Please access the graphical display through the following link:<br \/>\n<a href=\"https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-diversity-by-neighborhood.html\">https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-divers ity-by-neighborhood.html.<\/a><\/p>\n<ol>\n<li>What do you notice from the graphical display?<\/li>\n<li>What do you wonder from the graphical display?<\/li>\n<li>What might be the purpose or intention of this graphical display?<\/li>\n<li>From 1980 to 2017, describe how the diversity of neighborhoods changed.<\/li>\n<li>If the graph was recreated using data from the 2020 U.S. Census, what do you think the new graph would show regarding diversity in our neighborhoods?<\/li>\n<li>How do you define diversity? Would you want to add\/remove anything from the graphical display?<\/li>\n<\/ol>\n<p>For questions 7-8, use the following graphical display<a class=\"footnote\" title=\"Martinez, R. (2012).\u00a0Gender inequality around the world. Health Intelligence. https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:embed=y&amp;:showVizHome=no\" id=\"return-footnote-8448-2\" href=\"#footnote-8448-2\" aria-label=\"Footnote 2\"><sup class=\"footnote\">[2]<\/sup><\/a> to answer the questions. You can interact with the graph at:<br \/>\n<a href=\"https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:showVizHome=no\">https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:showVizHome=no<\/a><\/p>\n<div style=\"text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13231 aligncenter\" src=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855.png\" alt=\"A heat map showing gender inequality around the world. Lighter shades of red indicate lower rates; darker shades of red indicate higher rates. Results are also shown in a table, answering the question \u201cWhich countries have the highest inequalities between women and men?\u201d The countries Yemen, Chad, Niger, Mali, Congo, Afghanistan, Papua New Guinea, Liberia, Central African Republic, and Sierra Leone are listed, and the rates (when available) for the years 1995, 2000, 2005, 2008, 2011.\" width=\"525\" height=\"600\" srcset=\"https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855.png 525w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855-263x300.png 263w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855-65x74.png 65w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855-225x257.png 225w, https:\/\/content-cdn.one.lumenlearning.com\/wp-content\/uploads\/sites\/18\/2023\/09\/08160639\/mceclip0-1649017797855-350x400.png 350w\" sizes=\"(max-width: 525px) 100vw, 525px\" \/><\/div>\n<p>&nbsp;<\/p>\n<ol start=\"7\">\n<li>Describe the story you are getting from the graphical display in a few sentences.<\/li>\n<li>How would you rate the graphical display on the following seven criteria (very evident, evident but could be improved, or not evident)? Provide one or two sentences of support for each rating.\n<ul>\n<li>Part A: Design<\/li>\n<li>Part B: Precision<\/li>\n<li>Part C: Efficiency<\/li>\n<li>Part D: Use of time<\/li>\n<li>Part E: Use of color<\/li>\n<li>Part F: Use of space<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-8448-1\">The Learning Network. (2020, February 28). What\u2019s going on in this graph | Racial diversity by neighborhood. The New York Times. https:\/\/www.nytimes.com\/2020\/01\/30\/learning\/whats-going-on-in-this-graph-racial-diversity-by-neighborhood.html <a href=\"#return-footnote-8448-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><li id=\"footnote-8448-2\">Martinez, R. (2012).\u00a0<em>Gender inequality around the world<\/em>. Health Intelligence. https:\/\/public.tableau.com\/views\/Gender_Inequality_Index\/GenderInequalityIndex?:embed=y&amp;:showVizHome=no <a href=\"#return-footnote-8448-2\" class=\"return-footnote\" aria-label=\"Return to footnote 2\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":15,"menu_order":29,"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":"practice","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\/8448"}],"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":7,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8448\/revisions"}],"predecessor-version":[{"id":14829,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/8448\/revisions\/14829"}],"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\/8448\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=8448"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=8448"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=8448"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=8448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}