{"id":97,"date":"2008-09-04T10:07:39","date_gmt":"2008-09-04T17:07:39","guid":{"rendered":"http:\/\/blog.mozilla.org\/metrics\/?p=97"},"modified":"2019-09-18T12:07:11","modified_gmt":"2019-09-18T19:07:11","slug":"visualizing-data-in-new-ways","status":"publish","type":"post","link":"https:\/\/blog.mozilla.org\/metrics\/2008\/09\/04\/visualizing-data-in-new-ways\/","title":{"rendered":"Visualizing Data in New Ways"},"content":{"rendered":"<p><!--[if gte mso 9]><xml> Normal   0               false   false   false      EN-US   X-NONE   X-NONE                                                     MicrosoftInternetExplorer4 <\/xml><![endif]--><!--[if gte mso 9]><xml> <\/xml><![endif]--><!--  --><!--[if gte mso 10]> <mce:style><!   \/* Style Definitions *\/  table.MsoNormalTable \t{mso-style-name:\"Table Normal\"; \tmso-tstyle-rowband-size:0; \tmso-tstyle-colband-size:0; \tmso-style-noshow:yes; \tmso-style-priority:99; \tmso-style-qformat:yes; \tmso-style-parent:\"\"; \tmso-padding-alt:0in 5.4pt 0in 5.4pt; \tmso-para-margin:0in; \tmso-para-margin-bottom:.0001pt; \tmso-pagination:widow-orphan; \tfont-size:11.0pt; \tfont-family:\"Calibri\",\"sans-serif\"; \tmso-ascii-font-family:Calibri; \tmso-ascii-theme-font:minor-latin; \tmso-fareast-font-family:\"Times New Roman\"; \tmso-fareast-theme-font:minor-fareast; \tmso-hansi-font-family:Calibri; \tmso-hansi-theme-font:minor-latin; \tmso-bidi-font-family:\"Times New Roman\"; \tmso-bidi-theme-font:minor-bidi;} --> <!--[endif]--><\/p>\n<p>We&#8217;re always on the lookout for new\/better ways of visualizing data.\u00a0 Blake recently pointed me to an awesome tool called <a href=\"http:\/\/services.alphaworks.ibm.com\/manyeyes\/app\" target=\"_blank\" rel=\"noopener noreferrer\">Many Eyes<\/a>, which is a relatively new effort by IBM&#8217;s Collaborative User Experience.\u00a0 As they <a href=\"http:\/\/services.alphaworks.ibm.com\/manyeyes\/page\/About_Many_Eyes.html\" target=\"_blank\" rel=\"noopener noreferrer\">explain it<\/a>, &#8220;Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to \u2018democratize&#8217; visualization and to enable a new social kind of data analysis.&#8221;<\/p>\n<p>It looks like their community members have already created more than 18,000 visualizations, with several even relating to Mozilla in some way.\u00a0 For example, the visualization below takes an internet population data set from internetworldstats.com and displays it via a treemap (it was created by the user seadub ealier this week).\u00a0 I encourage you to click on the image below to see for yourself just how interactive and valuable this tool can be.\u00a0 From just a fraction of a second glance, it&#8217;s easy to see that Asia represents the largest internet population by a fairly large margin and that China and the U.S. are the largest countries.<\/p>\n<p><a href=\"http:\/\/services.alphaworks.ibm.com\/manyeyes\/view\/S_X47QsOtha6k~EfzS67Q2~\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full wp-image-98\" title=\"ibm_visualization\" src=\"http:\/\/blog.mozilla.org\/metrics\/files\/2008\/09\/ibm_visualization.png\" alt=\"\" width=\"500\" height=\"236\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We&#8217;re always on the lookout for new\/better ways of visualizing data.\u00a0 Blake recently pointed me to an awesome tool called Many Eyes, which is a relatively new effort by IBM&#8217;s Collaborative User Experience.\u00a0 As they explain it, &#8220;Many Eyes is &hellip; <a class=\"go\" href=\"https:\/\/blog.mozilla.org\/metrics\/2008\/09\/04\/visualizing-data-in-new-ways\/\">Continue reading<\/a><\/p>\n","protected":false},"author":60,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/posts\/97"}],"collection":[{"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/comments?post=97"}],"version-history":[{"count":0,"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/posts\/97\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/media?parent=97"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/categories?post=97"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.mozilla.org\/metrics\/wp-json\/wp\/v2\/tags?post=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}