{"id":559,"date":"2022-02-24T14:28:33","date_gmt":"2022-02-24T19:28:33","guid":{"rendered":"https:\/\/pressbooks.library.ryerson.ca\/criticaldataliteracy\/?post_type=chapter&#038;p=559"},"modified":"2022-02-25T13:31:20","modified_gmt":"2022-02-25T18:31:20","slug":"strategies-for-critically-assessing-data-visualizations","status":"publish","type":"chapter","link":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/chapter\/strategies-for-critically-assessing-data-visualizations\/","title":{"raw":"Strategies for Critically Assessing Data Visualizations","rendered":"Strategies for Critically Assessing Data Visualizations"},"content":{"raw":"Critically assessing data visualizations can be tricky, so we've broken it down into several steps:\r\n<ul>\r\n \t<li>Step 1: Stop and Slow Down<\/li>\r\n \t<li>Step 2: Separate the Scaffolding from the Visual Encoding<\/li>\r\n \t<li>Step 3: Focus on Scaffolding<\/li>\r\n \t<li>Step 4: Focus on Content and Visual Encoding<\/li>\r\n \t<li>Step 5: Step Back to Spot Patterns and Relationships<\/li>\r\n \t<li>Step 6: Examine Your Own Biases<\/li>\r\n<\/ul>\r\nKeep reading to learn more about each step.","rendered":"<p>Critically assessing data visualizations can be tricky, so we&#8217;ve broken it down into several steps:<\/p>\n<ul>\n<li>Step 1: Stop and Slow Down<\/li>\n<li>Step 2: Separate the Scaffolding from the Visual Encoding<\/li>\n<li>Step 3: Focus on Scaffolding<\/li>\n<li>Step 4: Focus on Content and Visual Encoding<\/li>\n<li>Step 5: Step Back to Spot Patterns and Relationships<\/li>\n<li>Step 6: Examine Your Own Biases<\/li>\n<\/ul>\n<p>Keep reading to learn more about each step.<\/p>\n","protected":false},"author":343,"menu_order":2,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-559","chapter","type-chapter","status-publish","hentry"],"part":186,"_links":{"self":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/users\/343"}],"version-history":[{"count":3,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/559\/revisions"}],"predecessor-version":[{"id":629,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/559\/revisions\/629"}],"part":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/parts\/186"}],"metadata":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/559\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/media?parent=559"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapter-type?post=559"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/contributor?post=559"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/license?post=559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}