{"id":294,"date":"2022-02-19T08:39:29","date_gmt":"2022-02-19T13:39:29","guid":{"rendered":"https:\/\/pressbooks.library.ryerson.ca\/criticaldataliteracy\/?post_type=chapter&#038;p=294"},"modified":"2022-02-27T16:12:51","modified_gmt":"2022-02-27T21:12:51","slug":"developing-your-data-visualization","status":"publish","type":"chapter","link":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/chapter\/developing-your-data-visualization\/","title":{"raw":"Developing Your Data Visualization","rendered":"Developing Your Data Visualization"},"content":{"raw":"Consider your audience first. Be specific, e.g., students in their first-year of university.\u00a0 Broad terms like \u201cstakeholders\u201d may be appropriate but try to narrow down your audience even further such as employees or patients. If you have multiple stakeholders with a wide variety of interests, that may lend itself to multiple data visualizations.\r\n\r\nQuestions to ask yourself about your audience include:\r\n<ol>\r\n \t<li style=\"font-weight: 400\">To whom are you communicating?<\/li>\r\n \t<li style=\"font-weight: 400\">What do you want your audience to know or do?<\/li>\r\n \t<li style=\"font-weight: 400\">How can you use data to make your point?\u00a0 (Nussbaumer Knaflic, p 20-21)<\/li>\r\n<\/ol>\r\nWhen building a good data story, consider the following:\r\n<ul>\r\n \t<li style=\"font-weight: 400\">Keep it relevant. The data should be meaningful to your audience.<\/li>\r\n \t<li style=\"font-weight: 400\">Analyze good quality data from reliable sources.<\/li>\r\n \t<li style=\"font-weight: 400\">Develop a clear narrative.<\/li>\r\n \t<li style=\"font-weight: 400\">Use visuals to augment your story in a compelling way.<\/li>\r\n<\/ul>","rendered":"<p>Consider your audience first. Be specific, e.g., students in their first-year of university.\u00a0 Broad terms like \u201cstakeholders\u201d may be appropriate but try to narrow down your audience even further such as employees or patients. If you have multiple stakeholders with a wide variety of interests, that may lend itself to multiple data visualizations.<\/p>\n<p>Questions to ask yourself about your audience include:<\/p>\n<ol>\n<li style=\"font-weight: 400\">To whom are you communicating?<\/li>\n<li style=\"font-weight: 400\">What do you want your audience to know or do?<\/li>\n<li style=\"font-weight: 400\">How can you use data to make your point?\u00a0 (Nussbaumer Knaflic, p 20-21)<\/li>\n<\/ol>\n<p>When building a good data story, consider the following:<\/p>\n<ul>\n<li style=\"font-weight: 400\">Keep it relevant. The data should be meaningful to your audience.<\/li>\n<li style=\"font-weight: 400\">Analyze good quality data from reliable sources.<\/li>\n<li style=\"font-weight: 400\">Develop a clear narrative.<\/li>\n<li style=\"font-weight: 400\">Use visuals to augment your story in a compelling way.<\/li>\n<\/ul>\n","protected":false},"author":388,"menu_order":6,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-294","chapter","type-chapter","status-publish","hentry"],"part":249,"_links":{"self":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/294","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\/388"}],"version-history":[{"count":3,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/294\/revisions"}],"predecessor-version":[{"id":742,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/294\/revisions\/742"}],"part":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/parts\/249"}],"metadata":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/294\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/media?parent=294"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapter-type?post=294"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/contributor?post=294"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/license?post=294"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}