{"id":11921,"date":"2007-11-13T10:29:04","date_gmt":"2007-11-13T09:29:04","guid":{"rendered":"http:\/\/192.220.58.236\/blog\/?p=74"},"modified":"2007-11-13T10:29:04","modified_gmt":"2007-11-13T09:29:04","slug":"graphwise_great_idea_but_needs","status":"publish","type":"post","link":"https:\/\/timoelliott.com\/blog\/2007\/11\/graphwise_great_idea_but_needs.html","title":{"rendered":"Graphwise: Great Idea, But Needs Work?"},"content":{"rendered":"<p><a href=\"http:\/\/www.graphwise.com\/\" target=\"_blank\">Graphwise<\/a> is <a href=\"https:\/\/timoelliott.com\/blog\/2007\/03\/bi_20.html\" target=\"_blank\">BI 2.0<\/a> entrant similar to <a href=\"http:\/\/www.swivel.com\" target=\"_blank\">Swivel<\/a> and <a href=\"http:\/\/services.alphaworks.ibm.com\/manyeyes\/app\" target=\"_blank\">ManyEyes<\/a>, but with a twist. You enter a search term, and the&nbsp;site scours the web for content that contains tables linked to those terms, then proposes charts based on the data in those tables.<\/p>\n<p>It&#8217;s a great idea, and there&#8217;s surely a great future for this technology. But there are currently some issues with relevance &#8212; e.g. I put in the search term &#8220;productivity&#8221;, and chose the first chart it offered me: the&nbsp;mean number of chickens in a flock, and the % of respondents?!&#8230; &nbsp;<\/p>\n<p><iframe style=\"border-top-width: 0px; border-left-width: 0px; border-bottom-width: 0px; width: 426px; height: 310px; border-right-width: 0px\" src=\"http:\/\/www.graphwise.com\/embed.php?efmt=svg&amp;mode=3&amp;gurl=http%3A\/\/www.graphwise.com\/plot.php%3F%26th%3D_Basic%26wm%3D%26wmx%3D0%26wmy%3D0%26wmw%3D0%26wmh%3D0%26wmo%3D0.3%26xt%3D1%26yt%3D1%26sv%3D0%26xl%3D1%26yl%3D1%26xa%3D1%26ya%3D1%26lg%3D0%26d3%3D1%26vr%3D0%26tl%3D1%26st%3DN%26tc%3D%26rs%3D%26pi%3D16256365%26ty%3DB%26rt%3DG%26pmd%3D1%26rmt%3D1\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" height=\"305\" alt=\"image\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/WindowsLiveWriter\/GraphwiseGreatIdeaButNeedsWork_A0D1\/image_d10d0b12-5a74-4157-8f52-5236f38888f5.jpg?resize=480%2C305&#038;ssl=1\" width=\"480\" border=\"0\"><\/p>\n<p>The other problem is that the site uses&nbsp;Adobe&#8217;s SVG viewer to provide interactivity &#8212; but Adobe is pulling support for the product at the end of this year&#8230;<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" height=\"64\" alt=\"image\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/WindowsLiveWriter\/GraphwiseGreatIdeaButNeedsWork_A0D1\/image_e609e61e-b802-4bd7-a0a9-204e6b1e2a5b.jpg?resize=480%2C64&#038;ssl=1\" width=\"480\" border=\"0\"> <\/p>\n<p>Of course the site is still in Beta. I wish them all the best of luck, but can&#8217;t help thinking that it&#8217;s part of a solution rather than an end-goal in itself. <\/p>\n<p>At some point,&nbsp;will Google hoover up the different BI 2.0 offerings, integrate them with their existing <a href=\"http:\/\/www.google.com\/analytics\/\" target=\"_blank\">analytics<\/a> tools and gapminder? The result would be a compelling consumer-oriented BI solution which could then be extended to enterprise users&#8230;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Graphwise is BI 2.0 entrant similar to Swivel and ManyEyes, but with a twist. You enter a search term, and the site scours the web for content that contains tables linked to those terms, then proposes charts based on the data in those tables.<\/p>\n","protected":false},"author":2,"featured_media":6244,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[161,520,533,542,716,1044],"class_list":["post-11921","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-20","tag-bi-20","tag-gapminder","tag-google","tag-graphwise","tag-manyeyes","tag-swivel"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2014\/01\/image_d10d0b12-5a74-4157-8f52-5236f38888f5-1.jpg?fit=480%2C305&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3X9RF-36h","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/11921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=11921"}],"version-history":[{"count":0,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/11921\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media\/6244"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=11921"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/categories?post=11921"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/tags?post=11921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}