Well-formed data » survey http://well-formed-data.net Moritz Stefaner / Visualization Wed, 11 Jan 2012 20:44:13 +0000 en hourly 1 http://wordpress.org/?v=3.3.1 Visualizing survey results http://well-formed-data.net/archives/426/visualizing-survey-results http://well-formed-data.net/archives/426/visualizing-survey-results#comments Mon, 11 Jan 2010 20:22:34 +0000 Moritz Stefaner http://well-formed-data.net/?p=426 In November 2009, I did a mini-project together with Boris Müller and the boys from raureif. My task was to create a visualization of the survey results of an event. The participants were asked to rate the events with respect to 9 questions on a scale from 1–10. As we did not have much time (nor budget), we went for the first good-looking idea available. What could that be? Right, a radial visualization (be damned, circles for non-circular data!). Anyways, I produced a quick funky mockup with random data: Each circle sector stands for one person’s ratings, and these are ordered by their average rating. For each single rating, I draw a semi-transparent wedge, with distance from center as well as color indicating the rating’s value. Special treatment is provided for the overall event rating (a more opaque, smaller wedge). For visual spice, a black spline connects all the average values of the ratings.

So, we agreed on it and shipped it. Seeing it with the real data, however, made me wonder if I should have looked into typical rating statistics a bit more :)

Well. Lesson learnt. It is a nice little visualization nevertheless.

Which reminds me of an excellent article about how to prevent to uniform votes already in the interface.

As a bonus, here is a little remake using protovis with again, ridiculously few lines of code:

var data=[ ["05.11.09 17:01", 10, 10, 10, 10, 10, 10, 10, 10, 10] // .. etc .., see page source for full data ]; // pre-process data var processedData = []; data.forEach(function(d) { var o={}; o.date = Date.parse(d[0], "%d.%m.%y %H:%M"); o.dayDate = new Date(o.date.getFullYear(), o.date.getMonth(), o.date.getDate()); o.dayTime = o.date.getHours(); d.shift(); o.ratings = d; o.mean = pv.mean(d); processedData.push(o); }); // sort by rating processedData = processedData.sort(function(a,b) a.mean - b.mean); // result: // [{date:..., ratings:[10,2,3,4...], mean:6.7}, ... // set up visualization var w = 440, h =440; var vis = new pv.Panel() .width(w) .height(h) .left(20) .top(20) ; // encoders var color = pv.Scale.linear(0, 5, 10).range("rgba(255,0,0,.3)", "rgba(200,200,0,.3)", "rgba(0,90,0,.3)"); var angle = pv.Scale.linear(0, processedData.length).range(Math.PI1.5, Math.PI3.5); var radius = pv.Scale.linear(0, 10).range(100, 200); // A panel for each rating event var panel = vis.add(pv.Panel) .data(processedData) .left(function() w.5)
.top(function() h.5) ; // a wedge for each rating value panel.add(pv.Wedge) .data(function(d) d.ratings) .startAngle(function() angle(this.parent.index)) .endAngle (function() angle(this.parent.index+1)) .innerRadius(function(d) radius(d) ) .outerRadius(function(d) radius(d+1)) .fillStyle(function(d) color(d)) ; panel.add(pv.Wedge) .data(function(d) [d.mean]) .startAngle(function() angle(this.parent.index)) .endAngle (function() angle(this.parent.index+1)) .innerRadius(function(d) radius(d+.5) ) .outerRadius(function(d) radius(d+.7)) .fillStyle(function(d) "#000") ; vis.render();

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