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Extreme Data Visualisation with d3.js @makoto_inoue Data Visualisation as an Interface

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@makoto_inoue • Extremist Programmer

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@makoto_inoue • benkyoplayer.com • Extremist Programmer

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@makoto_inoue • benkyoplayer.com • London d3.js meetup • Extremist Programmer

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Topics • From BaconTo Benkyo • What is (Extreme) Data Visualisation? • Extreme Data Visualisation with d3.js

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The Danger Level of this talk • Cat • Comic Sans • Nudity

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2013 2012 From Bacon to Benkyo

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Analysing Olympic Medal Rivalry @makoto_inoue @mmxiihack Best Hidden talks == Lightning talks

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Analysing Olympic Medal Rivalry @makoto_inoue @mmxiihack

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Question Are you looking forward to Olympics?

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Meh...

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Do you want to hack ? YES

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Wait, can you use the word "Olympics"?

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Branding Policy Expressions likely to be considered a breach of the rules would include any two of the following list: "Games, Two Thousand and Twelve, 2012, Twenty-Twelve". http://bit.ly/HRyNGS

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Branding Policy Using one of those words with London, medals, sponsors, summer, gold, silver or bronze is another likely breach.

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BAKERS BANNED FROM ICING CAKES WITH OLYMPIC LOGO BECAUSE OF COPY RIGHTS!! - Daily Mail - http://www.dailymail.co.uk/news/article-2037418/London-2012-Olympics-Copyright-laws-ban-bakers-icing-cakes-logo.html

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Solution London 2012 ɹ

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Solution London 2012 Londinium MMXII http://www.guardian.co.uk/commentisfree/2012/apr/17/london-2012-londinium-mmxii-olympics

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MMXII Hackathon (28th~29th July)

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MMXII Hackathon (28th~29th July)

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A Result =The live image wall

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AS THE GAME GOT UNDERWAY, DEVELOPERS TOOK PART IN THE FIRST OLYMPIC HACKDAY - Guardian Data Blog http://www.guardian.co.uk/commentisfree/2012/aug/03/london-2012-olympics-open-data

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SO, IS THE FIRST OPEN DATA OLYMPICS? NOT THIS TIME - Guardian Data Blog

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SO, IS THE FIRST OPEN DATA OLYMPICS? NOT THIS TIME - Guardian Data Blog Where is Data?

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I am the Extremist Programmer!!

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Hack for Data

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Minute by Minute Event Data

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Minute by Minute Event Data Where is Data?

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I am the Extremist Programmer!!

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Premier League -13 May 2012

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Posessed!! (Visualisation of the ball possession) http://makoto.github.com/possessed/

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FLIP!!

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Posessed!! (Visualisation of the ball possession)

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http://makoto.github.com/possessed/ Possessed!!

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Data Driven Player(DDP) http://makoto.github.com/possessed/ I Like it!!

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I am the Extremist Programmer!!

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Tri-Hackathon 2012 Sep 2012 Oct 2012 Nov

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DDP ♥ Show Biz

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DDP ♥ Show Biz 82

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♥ OSMN.pl http://osmn.herokuapp.com/

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♥ OSMN.pl http://osmn.herokuapp.com/

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DDP ♥ Online Study Transcripts are embedded in videos

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Transcripts are embedded in videos ♥ Benkyo Player

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♥ Benkyo Player http://bit.ly/benkyo_player

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What did we learn so far?

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If there is no data...

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What is (Extreme) Data Visualisation?

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I don’t know, but.....

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I am the Extremist Programmer!!

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Bambinos

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Bambinos

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Something not right

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Something not right

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My Teacher says... Draw Shape Not Object

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Traditional Data Visualisation = Objects(barchart/piechart)

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Extreme Data Visualisation = Many different shapes

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Extreme Data Visualisation = Many different shapes

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Extreme Data Visualisation = Many different shapes

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Extreme Data Visualisation = Many different shapes

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Isn’t this just a table? TimeTeamPlayer 90:00 90:30 91:00 Yes

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What about this?
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It’s a list

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What about this? It’s svg

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Different Medium Different Character

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Wrong observation and transformation Lack of Skills

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Right Scale

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Appropriate Colour

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What did we learn so far? • Shapes, not Objects • Different medium => Character • Wrong Transformation => Lack of Skill

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Extreme Data Visualisation with d3.js

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What is d3.js ?

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What is d3.js ?

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What is d3.js ? D3 is not a new graphical representation.

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What is d3.js ? D3.js is a JavaScript library for manipulating documents based on data.

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Transforming Data with d3.js

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Selector

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Dynamic Property

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  • ɹ
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Result

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Binding Data

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Binding Data

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Scaling Size

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Scaling Size http://www.jeromecukier.net/blog/2011/08/11/d3-scales-and-color/

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Scaling Color

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var data = [{start:30, duration:3},{start:80, duration:20}] var ul = d3.select('ul.bin') var bar = ul.selectAll("li") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('li') .attr('class', 'appeared') .style({ width:function(d){return x(d.duration) + 'px'}, left:function(d){return x(d.start) + 'px'}, 'background-color': function(d, i){return color(i)} }) .text("ɹ") Dynamic Property

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SVG? var data = [{start:30, duration:3}, {start:80, duration:20}] var svg = d3.select('body').append('svg') var bar = svg.selectAll("rect") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('rect') .attr('class', 'appeared') .attr({ width:function(d){return x(d.duration) + 'px'}, x:function(d){return x(d.start) + 'px'}, height:'10px', }) .style('fill',function(d, i){return color(i)})

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var data = [{start:30, duration:3}, {start:80, duration:20}] var svg = d3.select('body').append('svg') var bar = svg.selectAll("rect") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('rect') .attr('class', 'appeared') .attr({ width:function(d){return x(d.duration) + 'px'}, x:function(d){return x(d.start) + 'px'}, height:'10px', }) .style('fill',function(d, i){return color(i)}) Difference

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var data = [{start:30, duration:3}, {start:80, duration:20}] var svg = d3.select('body').append('svg') var bar = svg.selectAll("rect") .data(data); var x = d3.scale.linear() .domain([0, 100]) .range([0, 800]); var color = d3.scale.category10().domain([1,2]) bar.enter().append('rect') .attr('class', 'appeared') .attr({ width:function(d){return x(d.duration) + 'px'}, x:function(d){return x(d.start) + 'px'}, height:'10px', }) .style('fill',function(d, i){return color(i)}) Same

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http://bl.ocks.org/mbostock/1933560

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var histogram = d3.layout.histogram(); histogram(data);

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What did we learn? • Data, Go get 'em, Tiger • Shapes, not Objects • D3.js for Data Transformation

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More Info • http://d3js.org/ • http://bl.ocks.org/mbostock • http://groups.google.com/group/d3-js • http://enjalot.github.com/dot-enter

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Thanks @makoto_inoue http://lanyrd.com/2013/london-d3js-4 http://benkyoplayer.com/courses/3