

{"id":4292,"date":"2016-04-13T16:59:00","date_gmt":"2016-04-13T21:59:00","guid":{"rendered":"http:\/\/rud.is\/b\/?p=4292"},"modified":"2018-03-07T16:42:45","modified_gmt":"2018-03-07T21:42:45","slug":"52-vis-week-1-winners","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/","title":{"rendered":"52 Vis Week 1 Winners!"},"content":{"rendered":"<p>The response to 52Vis has exceeded expectations and there have been great entries for both weeks. It&#8217;s time to award some prizes!<\/p>\n<p>### Week 1 &#8211; Send in the Drones<\/p>\n<p>I&#8217;ll take [this week](https:\/\/github.com\/52vis\/2016-13) in comment submission order (remember, the rules changed to submission via PR in Week 2).<\/p>\n<p>NOTE: WordPress seems to have &#8220;eaten&#8221; the animations on upload, so _please_ check out the direct links to them (they are worth the clicks).<\/p>\n<p>First up is a straightforward but really colorful take take on the data by <strong>J. Alexander Branham&#8217;s<\/strong> (in R):<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-by-state-and-pop.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4293\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones-by-state-and-pop\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-by-state-and-pop.png?fit=2400%2C1200&amp;ssl=1\" data-orig-size=\"2400,1200\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones-by-state-and-pop\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-by-state-and-pop.png?fit=510%2C255&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-by-state-and-pop.png?resize=510%2C255&#038;ssl=1\" alt=\"drones-by-state-and-pop\" width=\"510\" height=\"255\" class=\"aligncenter size-full wp-image-4293\" \/><\/a><\/p>\n<p>You can see his code and commentary (he went into detail on both the code and thought process) on [his blog](http:\/\/jabranham.com\/blog\/2016\/03\/ggplot-maps.html). Extra points for the Albers projection!<\/p>\n<p>Next up is <strong>J\u00e9r\u00f4me Laurent <\/strong>who did an equally great job explaining his thought process behind his approach and some great code exposition that produced this really neat time-lapse animation:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones.gif?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4294\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones.gif?fit=750%2C400&amp;ssl=1\" data-orig-size=\"750,400\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones.gif?fit=510%2C272&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones.gif?resize=510%2C272&#038;ssl=1\" alt=\"drones\" width=\"510\" height=\"272\" class=\"aligncenter size-full wp-image-4294\" \/><\/a><\/p>\n<p>You can see J\u00e9r\u00f4me&#8217;s [blog](https:\/\/jerome-laurent-pro.github.io\/2016-04-01-dataviz-week13\/) for all the code and &#8216;splainin.<\/p>\n<p><strong>Timothy Kiely<\/strong> took a super neat approach and mapped out the drone geographic density, but then expanded on his vision to look at the density over time (with a paired bar chart!). <\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-1.gif?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4295\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-1.gif?fit=700%2C700&amp;ssl=1\" data-orig-size=\"700,700\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-1.gif?fit=510%2C510&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones-1.gif?resize=510%2C510&#038;ssl=1\" alt=\"drones\" width=\"510\" height=\"510\" class=\"aligncenter size-full wp-image-4295\" \/><\/a><\/p>\n<p><strong>Bal\u00e1zs Duka<\/strong>i also took the density approach in his [RPubs submission](http:\/\/rpubs.com\/BalazsDukai\/vis_2016-13) (with code) but attacked it from a small multiples perspective. It was interesting to see California move in and out of prominence and I think this will be an interesting project to replicate as the FAA collects more data.<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/X9gtgeU8kD9wAAAABJRU5ErkJggg.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4296\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/x9gtgeu8kd9waaaabjru5erkjggg\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/X9gtgeU8kD9wAAAABJRU5ErkJggg.png?fit=2100%2C1500&amp;ssl=1\" data-orig-size=\"2100,1500\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"X9gtg+eU8kD9wAAAABJRU5ErkJggg==\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/X9gtgeU8kD9wAAAABJRU5ErkJggg.png?fit=510%2C364&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/X9gtgeU8kD9wAAAABJRU5ErkJggg.png?resize=510%2C364&#038;ssl=1\" alt=\"X9gtg+eU8kD9wAAAABJRU5ErkJggg==\" width=\"510\" height=\"364\" class=\"aligncenter size-full wp-image-4296\" \/><\/a><\/p>\n<p>Fellow rOpenSci 2016 participant <strong>Julia Silge<\/strong> wanted to see the distribution of sightings throughout the week and took a straightforward faceted bar chart approach:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/T2.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4297\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/t2\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/T2.png?fit=1152%2C1920&amp;ssl=1\" data-orig-size=\"1152,1920\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"T2\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/T2.png?fit=510%2C850&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/T2.png?resize=510%2C850&#038;ssl=1\" alt=\"T2\" width=\"510\" height=\"850\" class=\"aligncenter size-full wp-image-4297\" \/><\/a><\/p>\n<p>BUT she also doubled-down on stats to make her case. Read her [superb exposition](http:\/\/rpubs.com\/juliasilge\/168308) to see the conclusion!<\/p>\n<p>I was _extremely_ excited to see a [non-R submission](https:\/\/github.com\/xangregg\/dronetimes) from Xan Gregg. Using JMP &#038; JSL (SAS components), Xan walks us through both the dreaded data-munging component (that R folks got for free from me) and found some really interesting oddities in the data that suggest there are issues with data quality. I really loved the in-depth explanation and the scatterplot that was produced to help diagnose data issues is really well-crafted.<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/timevtime.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4298\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/timevtime\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/timevtime.png?fit=1300%2C982&amp;ssl=1\" data-orig-size=\"1300,982\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"timevtime\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/timevtime.png?fit=510%2C385&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/timevtime.png?resize=510%2C385&#038;ssl=1\" alt=\"timevtime\" width=\"510\" height=\"385\" class=\"aligncenter size-full wp-image-4298\" \/><\/a><\/p>\n<p><strong>Philipp Ottolinger<\/strong> was super-kind enough to go back and PR his submission so all his code is in the 52vis repo, but you should also [check it out in his repo](https:\/\/github.com\/ottlngr\/52Vis\/blob\/master\/01\/01_52Vis.md) since he has alot of other really cool things to persuse. He tried to see if drones were a weekend or daily occurrence in his approach:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_ottlngr.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4299\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones_ottlngr\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_ottlngr.png?fit=2081%2C1756&amp;ssl=1\" data-orig-size=\"2081,1756\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones_ottlngr\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_ottlngr.png?fit=510%2C430&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_ottlngr.png?resize=510%2C430&#038;ssl=1\" alt=\"drones_ottlngr\" width=\"510\" height=\"430\" class=\"aligncenter size-full wp-image-4299\" \/><\/a><\/p>\n<p><strong>Jacob Barnett<\/strong> was the first Leaflet submission (with [full code](https:\/\/gist.github.com\/barnettjacob\/58601c78f22616a02c3d3e1fa1aea724#file-flight_data-png)) and explored the geographic prevalence of the drone sightings:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/unspecified.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4300\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/unspecified\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/unspecified.png?fit=1600%2C886&amp;ssl=1\" data-orig-size=\"1600,886\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"unspecified\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/unspecified.png?fit=510%2C282&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/unspecified.png?resize=510%2C282&#038;ssl=1\" alt=\"unspecified\" width=\"510\" height=\"282\" class=\"aligncenter size-full wp-image-4300\" \/><\/a><\/p>\n<p>@patternproject [explored](https:\/\/github.com\/patternproject\/r.rudis.challenge1) the density by week of year:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Rplot2.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4301\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/rplot2-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Rplot2.png?fit=505%2C288&amp;ssl=1\" data-orig-size=\"505,288\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Rplot2\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Rplot2.png?fit=505%2C288&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Rplot2.png?resize=505%2C288&#038;ssl=1\" alt=\"Rplot2\" width=\"505\" height=\"288\" class=\"aligncenter size-full wp-image-4301\" \/><\/a><\/p>\n<p>and this is going to be a really neat graph to watch over time as more of these flying annoyances take to the skies. I&#8217;m re-running that code later this year to see if the weeks with greater density stay the same.<\/p>\n<p><strong>Mukul Chaware<\/strong> did some [text analysis](https:\/\/github.com\/mukul13\/2016-13\/tree\/master\/mukul) as well as temporal queries on the data one of the more interesting charts is the day vs night one:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Classify-Monthly-UAS-sightings-on-the-basis-of-day-and-night-time.jpeg?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4302\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/classify-monthly-uas-sightings-on-the-basis-of-day-and-night-time\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Classify-Monthly-UAS-sightings-on-the-basis-of-day-and-night-time.jpeg?fit=578%2C380&amp;ssl=1\" data-orig-size=\"578,380\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Classify Monthly UAS sightings on the basis of day and night time\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Classify-Monthly-UAS-sightings-on-the-basis-of-day-and-night-time.jpeg?fit=510%2C335&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/Classify-Monthly-UAS-sightings-on-the-basis-of-day-and-night-time.jpeg?resize=510%2C335&#038;ssl=1\" alt=\"Classify Monthly UAS sightings on the basis of day and night time\" width=\"510\" height=\"335\" class=\"aligncenter size-full wp-image-4302\" \/><\/a><\/p>\n<p>but he also used the text analysis to see where there were LEO notifications or not and did multiple views using that as a pivot (really neat idea). Check out his [full submission](https:\/\/github.com\/mukul13\/2016-13\/tree\/master\/mukul) for some great exposition and analysis.<\/p>\n<p>Lastly is <strong>Andrew Heiss<\/strong>&#8216; [inquiry to discover](https:\/\/www.andrewheiss.com\/blog\/2016\/04\/03\/drone-sightings-in-the-us-visualized\/) whether we have a hobbyist problem or an official problem with these flying digital buzzards:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_af_map.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4303\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones_af_map\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_af_map.png?fit=1800%2C1200&amp;ssl=1\" data-orig-size=\"1800,1200\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones_af_map\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_af_map.png?fit=510%2C340&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_af_map.png?resize=510%2C340&#038;ssl=1\" alt=\"drones_af_map\" width=\"510\" height=\"340\" class=\"aligncenter size-full wp-image-4303\" \/><\/a><\/p>\n<p>The pairing of external data, combined with the gorgeous map truly ruled the day, but he went further to answer another question: which state had the most (per capita) drone sightings:<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_states.png?ssl=1\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"4304\" data-permalink=\"https:\/\/rud.is\/b\/2016\/04\/13\/52-vis-week-1-winners\/drones_states\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_states.png?fit=1800%2C1200&amp;ssl=1\" data-orig-size=\"1800,1200\" 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;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"drones_states\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_states.png?fit=510%2C340&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/drones_states.png?resize=510%2C340&#038;ssl=1\" alt=\"drones_states\" width=\"510\" height=\"340\" class=\"aligncenter size-full wp-image-4304\" \/><\/a><\/p>\n<p>### The Results Are In<\/p>\n<p>It was really excellent work by everyone and the different approaches by the the submitters shows exactly what I was hoping this project would show: that there are many ways to approach the data that you have and finding the question that really takes hold of you can ultimately deliver amazing results.<\/p>\n<p>For this week:<\/p>\n<p>&#8211; <strong>Andrew Heiss <\/strong>takes the #1 spot and gets not only a digital copy of [Data-Driven Security](http:\/\/dds.ec\/amzn) but also a $25.00 Amazon gift cart (I actually had a sponsor who wanted to remain anonymous for this one)<br \/>\n&#8211; <strong>Xan Gregg <\/strong>takes a #2 spot and gets a copy of Data-Driven Security for an excellent analysis and being willing to be the first non-R submitter!<\/p>\n<p>Andrew &#038; Xan: please e-mail me at bob at rudis dot net so I can get your prizes to you!<\/p>\n<p>Next post will be the Week 2 winners! Then, Week 3&#8217;s challenge!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The response to 52Vis has exceeded expectations and there have been great entries for both weeks. It&#8217;s time to award some prizes! ### Week 1 &#8211; Send in the Drones I&#8217;ll take [this week](https:\/\/github.com\/52vis\/2016-13) in comment submission order (remember, the rules changed to submission via PR in Week 2). NOTE: WordPress seems to have &#8220;eaten&#8221; [&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":false,"_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":[773,673,674,91],"tags":[810],"class_list":["post-4292","post","type-post","status-publish","format-standard","hentry","category-52vis","category-datavis-2","category-dataviz","category-r","tag-post"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>52 Vis Week 1 Winners! - 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\/2016\/04\/13\/52-vis-week-1-winners\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"52 Vis Week 1 Winners! - rud.is\" \/>\n<meta property=\"og:description\" content=\"The response to 52Vis has exceeded expectations and there have been great entries for both weeks. It&#8217;s time to award some prizes! ### Week 1 &#8211; Send in the Drones I&#8217;ll take [this week](https:\/\/github.com\/52vis\/2016-13) in comment submission order (remember, the rules changed to submission via PR in Week 2). 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It&#8217;s time to award some prizes! ### Week 1 &#8211; Send in the Drones I&#8217;ll take [this week](https:\/\/github.com\/52vis\/2016-13) in comment submission order (remember, the rules changed to submission via PR in Week 2). 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They dug through [Department of Energy](http:\/\/www.lm.doe.gov\/default.aspx?id=2602) and [CDC](http:\/\/www.cdc.gov\/niosh\/ocas\/ocasawe.html) data to provide an overview of the lingering residue of this toxic time in America's past (somehow, I have to believe the fracking\u2026","rel":"","context":"In &quot;52vis&quot;","block_context":{"text":"52vis","link":"https:\/\/rud.is\/b\/category\/52vis\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/waste.png?fit=1200%2C983&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/waste.png?fit=1200%2C983&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/waste.png?fit=1200%2C983&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/waste.png?fit=1200%2C983&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2016\/04\/waste.png?fit=1200%2C983&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":4242,"url":"https:\/\/rud.is\/b\/2016\/04\/06\/52vis-week-2-2016-week-14-honing-in-on-the-homeless\/","url_meta":{"origin":4292,"position":1},"title":"52Vis Week 2 (2016 Week #14) &#8211; Honing in on the Homeless","author":"hrbrmstr","date":"2016-04-06","format":false,"excerpt":">UPDATE: Since I put in a \"pull request\" requirement, I intended to put in a link to getting started with GitHub. 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