{"id":192205,"date":"2015-04-30T00:00:00","date_gmt":"2015-04-30T16:38:48","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/from-data-to-stories-what-making-a-billion-charts-has-taught-me-about-the-world\/"},"modified":"2016-07-15T15:23:28","modified_gmt":"2016-07-15T22:23:28","slug":"from-data-to-stories-what-making-a-billion-charts-has-taught-me-about-the-world","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/from-data-to-stories-what-making-a-billion-charts-has-taught-me-about-the-world\/","title":{"rendered":"From Data to Stories: What Making a Billion Charts Has Taught Me about the World"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this talk I will present five big data visualization engines created by The Macro Connections group at The MIT Media Lab and I will show how I have used these visualizations to improve our understanding of economic development, cultural production, and cities. The data visualization engines are (i) the Observatory of Economic Complexity (atlas.media.mit.edu)&#8211;a comprehensive tool for exploring international trade data&#8211;(ii) DataViva (dataviva.info)&#8211;a high-resolution visualization engine of the entire economy of Brazil&#8211;(iii) Pantheon (pantheon.media.mit.edu)&#8211;a project exploring cultural production and collective memory; (iv) Immersion (immersion.media.mit.edu), a tool that creates a visual interface for email centered on people rather than on messages; and (v) Place Pulse and StreetScore (pulse.media.mit.edu & streetscore.media.mit.edu) a data collection\/computer vision project that is helping us understand the aesthetic capital of cities.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this talk I will present five big data visualization engines created by The Macro Connections group at The MIT Media Lab and I will show how I have used these visualizations to improve our understanding of economic development, cultural production, and cities. The data visualization engines are (i) the Observatory of Economic Complexity (atlas.media.mit.edu)&#8211;a [&hellip;]<\/p>\n","protected":false},"featured_media":198997,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[206954],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-192205","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-video-type-microsoft-research-talks","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/kveXUV9ylzE","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/192205","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/192205\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/198997"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=192205"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=192205"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=192205"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=192205"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=192205"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=192205"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=192205"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=192205"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=192205"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=192205"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}