{"id":674,"date":"2022-02-27T13:21:51","date_gmt":"2022-02-27T18:21:51","guid":{"rendered":"https:\/\/pressbooks.library.ryerson.ca\/criticaldataliteracy\/?post_type=chapter&#038;p=674"},"modified":"2022-02-27T17:39:24","modified_gmt":"2022-02-27T22:39:24","slug":"introduction","status":"publish","type":"chapter","link":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/chapter\/introduction\/","title":{"raw":"Introduction","rendered":"Introduction"},"content":{"raw":"The need to understand [pb_glossary id=\"421\"]data visualizations[\/pb_glossary] has never been more important. Every day we are inundated with more data, graphs and charts. Some of these data visualizations are well-designed and easy to understand, and others are confusing and misleading.\r\n\r\n[pb_glossary id=\"388\"]Data literacy[\/pb_glossary] is often framed as a set of skills for data professionals, but we believe data literacy is for everyone. Everyone can benefit from improving their understanding of how data is created and their ability to analyze and interpret data.\r\n\r\n<span style=\"text-align: initial;font-size: 1em\">In this module, we will introduce the key stages in the data journey, discuss why data visualizations can be so effective at conveying information, and provide an overview of different ways of presenting data and different types of data visualizations.<\/span>\r\n<div class=\"textbox textbox--learning-objectives\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\"><strong>Learning Objectives<\/strong><\/p>\r\n\r\n<\/header>\r\n<div class=\"textbox__content\">\r\n\r\nBy the end of this module, you should be able to:\r\n<ol>\r\n \t<li>Discuss the different stages of the data journey.<\/li>\r\n \t<li>Explain why data visualizations are effective.<\/li>\r\n \t<li>Differentiate between different types of data visualizations.<\/li>\r\n<\/ol>\r\n<\/div>\r\n<\/div>","rendered":"<p>The need to understand <button class=\"glossary-term\" aria-describedby=\"674-421\">data visualizations<\/button> has never been more important. Every day we are inundated with more data, graphs and charts. Some of these data visualizations are well-designed and easy to understand, and others are confusing and misleading.<\/p>\n<p><button class=\"glossary-term\" aria-describedby=\"674-388\">Data literacy<\/button> is often framed as a set of skills for data professionals, but we believe data literacy is for everyone. Everyone can benefit from improving their understanding of how data is created and their ability to analyze and interpret data.<\/p>\n<p><span style=\"text-align: initial;font-size: 1em\">In this module, we will introduce the key stages in the data journey, discuss why data visualizations can be so effective at conveying information, and provide an overview of different ways of presenting data and different types of data visualizations.<\/span><\/p>\n<div class=\"textbox textbox--learning-objectives\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\"><strong>Learning Objectives<\/strong><\/p>\n<\/header>\n<div class=\"textbox__content\">\n<p>By the end of this module, you should be able to:<\/p>\n<ol>\n<li>Discuss the different stages of the data journey.<\/li>\n<li>Explain why data visualizations are effective.<\/li>\n<li>Differentiate between different types of data visualizations.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<div class=\"glossary\"><div class=\"glossary__tooltip\" id=\"674-421\" hidden><p>The graphical or pictorial representation of information and data<\/p>\n<\/div><div class=\"glossary__tooltip\" id=\"674-388\" hidden><p>The ability to derive meaningful information from data.<\/p>\n<\/div><\/div>","protected":false},"author":362,"menu_order":1,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-674","chapter","type-chapter","status-publish","hentry"],"part":3,"_links":{"self":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/674","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\/362"}],"version-history":[{"count":3,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/674\/revisions"}],"predecessor-version":[{"id":756,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/674\/revisions\/756"}],"part":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapters\/674\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/media?parent=674"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/pressbooks\/v2\/chapter-type?post=674"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/contributor?post=674"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.library.torontomu.ca\/criticaldataliteracy\/wp-json\/wp\/v2\/license?post=674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}