{"id":1611,"date":"2012-10-05T19:48:23","date_gmt":"2012-10-06T00:48:23","guid":{"rendered":"http:\/\/rud.is\/b\/?p=1611"},"modified":"2017-03-27T09:41:41","modified_gmt":"2017-03-27T14:41:41","slug":"more-diy-zeroaccess-geoip-fun-jqueryd3-choropleths","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2012\/10\/05\/more-diy-zeroaccess-geoip-fun-jqueryd3-choropleths\/","title":{"rendered":"More DIY ZeroAccess GeoIP Fun : jQuery\/D3 Choropleths"},"content":{"rendered":"<p>In the spirit of the <a href=\"https:\/\/rud.is\/b\/2012\/10\/05\/diy-zeroaccess-geoip-plots\/\">previous example<\/a> this one shows you how to do a quick, country-based choropleth in D3\/jQuery with some help from the command-line since not everyone is equipped to kick out some R and most folks I know are very handy at a terminal prompt.<\/p>\n<p>I took the <code>ZeroAccessGeoIPs.csv<\/code> file and ran it through a quick *nix one-liner to get a JSON-ish associative array of country abbreviations to botnet counts in that country:<\/p>\n<pre lang=\"bash\">\r\ncat ZeroAccessGeoIPs.csv | cut -f1,1 -d\\,| sort | uniq -c | sort -n | tr \"[:upper:]\" \"[:lower:]\" | while read a b ; do echo \"{ \\\"$b\\\" : \\\"$a\\\" },\" ; done > botcounts.js\r\n<\/pre>\n<p>I found a suitable <a href=\"https:\/\/commons.wikimedia.org\/w\/index.php?title=File:BlankMap-World-162E-flat.svg&amp;page=1\">SVG world map<\/a> on Wikipedia that had <code>id=\"ABBREV\"<\/code> country groupings. This is not the most #spiffy map (and, if you dig a bit more than I did, you&#8217;ll probably find a better one) but it works for this example and shows you how quickly you can find the bits you need to get a visualization together.<\/p>\n<p>With that data and the SVG file pasted into the same HTML document, it&#8217;s a simple matter of generating a gradient with some d3 magic:<\/p>\n<pre lang=\"javascript\">color = d3.scale.log().domain([1,47880]).range([\"#FFEB38\",\"#F54747\"]);<\/pre>\n<p>and, then, looping over the associative array while using said color range to fill in the country shapes:<\/p>\n<pre lang=\"javascript\"> $.each(botcounts, function(key, value) {\r\n    $('#' + key).css('fill',color(value))\r\n  });\r\n}) ;<\/pre>\n<p>we get:<\/p>\n<p><center><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"1612\" data-permalink=\"https:\/\/rud.is\/b\/2012\/10\/05\/more-diy-zeroaccess-geoip-fun-jqueryd3-choropleths\/zeroheat\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2012\/10\/zeroheat.png?fit=514%2C241&amp;ssl=1\" data-orig-size=\"514,241\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;}\" data-image-title=\"zeroheat\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2012\/10\/zeroheat.png?fit=510%2C239&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2012\/10\/zeroheat.png?resize=510%2C239&#038;ssl=1\" alt=\"\" title=\"zeroheat\" width=\"510\" height=\"239\" class=\"aligncenter size-full wp-image-1612\" srcset=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2012\/10\/zeroheat.png?w=514&amp;ssl=1 514w, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2012\/10\/zeroheat.png?resize=300%2C140&amp;ssl=1 300w\" sizes=\"auto, (max-width: 510px) 100vw, 510px\" \/><\/center><\/p>\n<p>You can view the full, larger example <a href=\"https:\/\/rud.is\/dl\/zero.html\">on this separate page<\/a> where you can do a view-source to see the entire code. I <i>really<\/i> encourage you to do this as you&#8217;ll see that there are just a handful of lines of your own code necessary to make a compelling visualization. Sure, you&#8217;ll want to add a legend and some other styling, but the basics can be done in \u2013\u00a0literally \u2013\u00a0minutes, leaving customized details to your imagination &#038; creativity.<\/p>\n<p>The entire map could have been done in D3, but I only spent about 5 minutes on the entire exercise (including the one-liner) and am still more comfortable in jQuery than I am in D3. I did this also to show that it&#8217;s <i>perfectly fine<\/i> (as Mainers are wont to say) to do pre-processing and hard-coding when cranking out visualizations. The goal is to communicate something to your audience and there are no hard-and-fast rules governing this process. As with any coding, if you think you&#8217;ll be doing this again it is a wise idea to make the solution more generic, but there&#8217;s nothing wrong with taking valid shortcuts to get results out as quickly as possible.<\/p>\n<p>Definitely feel invited to share your creations in the comments, especially if you find a better map!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the spirit of the previous example this one shows you how to do a quick, country-based choropleth in D3\/jQuery with some help from the command-line since not everyone is equipped to kick out some R and most folks I know are very handy at a terminal prompt. I took the ZeroAccessGeoIPs.csv file and ran [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"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":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[24,666,15],"tags":[],"class_list":["post-1611","post","type-post","status-publish","format-standard","hentry","category-charts-graphs","category-d3","category-javascript"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>More DIY ZeroAccess GeoIP Fun : jQuery\/D3 Choropleths - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2012\/10\/05\/more-diy-zeroaccess-geoip-fun-jqueryd3-choropleths\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"More DIY ZeroAccess GeoIP Fun : jQuery\/D3 Choropleths - rud.is\" \/>\n<meta property=\"og:description\" content=\"In the spirit of the previous example this one shows you how to do a quick, country-based choropleth in D3\/jQuery with some help from the command-line since not everyone is equipped to kick out some R and most folks I know are very handy at a terminal prompt. 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