A part of data analytics is to identify and distinguish a visualization and an info-graphic. They both are pictorial or visual representations of data; however, it is essential to use the right kind of representation based on the type, amount, context and relevance.
\nA data visualization is usually a representation of data as it is- without much editing and processing, usually representing the data as it is. They are mostly automated visualizations generated through algorithms or programmed codes. We can basically say that a data visualization is bound to tell you about the same data in a different way. It does not try to tell any story by itself.
\nInfo-graphics on the other hand can be elaborate diagrams that tell you something using a lot of illustrations, graphics, pictures and icons. An info-graphic can be modeled, modified and designed to make the user look at it in a way or convey a particular message. Info-graphics can be creative and illustrious and omit some data to make the visualization fit the story line.
\nAgain, all visualizations can be considered as info-graphics but the opposite is not true.<\/p>\n
References:http:\/\/www.jackhagley.com\/What-s-the-difference-between-an-Infographic-and-a-Data-Visualisation<\/p>\n","protected":false},"excerpt":{"rendered":"
A part of data analytics is to identify and distinguish a visualization and an info-graphic. They both are pictorial or visual representations of data; however, it is essential to use the right kind of representation based on the type, amount, context and relevance. A data visualization is usually a representation of data as it is- … Continue reading Difference between info-graphics and visualization<\/span><\/a><\/p>\n","protected":false},"author":1852,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-941","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"rchaudhari","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/rchaudhari\/"},"qubely_comment":0,"qubely_category":"Uncategorized<\/a>","qubely_excerpt":"A part of data analytics is to identify and distinguish a visualization and an info-graphic. They both are pictorial or visual representations of data; however, it is essential to use the right kind of representation based on the type, amount, context and relevance. A data visualization is usually a representation of data as it is-…","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/941","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1852"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=941"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/941\/revisions"}],"predecessor-version":[{"id":944,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/941\/revisions\/944"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=941"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=941"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=941"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}