Not my final MOOC submission!
Hello again, so much to share and so little time
I'm sorry for posting such a small viziblog*, but its late and I can't wait till the morning to share three things with you...and start a little rant.
First the 3 things:
1. This link to Duke University Library - an excellent dataviz resource, which includes some of Mike Bostock's most recent d3.js examples. The site feels a bit old fashioned, but is clearly updated regularly.
2. This map from Shawn Allen @shawnbot, which, if I could find a way to bind it to the US Unemployment data,and then found a way to manipulate the colours, and then found a way to animate it to scroll through the years from 2003-2012... would have been my viz for last week's task: http://t.co/247Gt0Zm . I've forked the code so watch this space (for a very long time I expect).
3. and finally, a first step towards this week's final submission for Alberto Cairo's excellent MOOC. Playing with IBM's oft neglected Many Eyes, I took the data behind today's Guardian Datablog's excellent data visualisations and pushed them into an interactive treemap. What I came up with is below. But before you enjoy it, my rant (as promised).
Please @GuardianData, I have loved you since childhood, and am so proud that you are leading in data journalism in the UK as in so many other areas. I ask only one thing - that when I click on 'Download the data' I at least have the option of taking a nice clean Comma Separated Value file with no bells and whistles, with all the measures starting on the left and then the dimensions. No Row Headings!
Not deep enough. I have been in communication with Simon Rogers, the award winning editor of the Guardian datablog, who has been both gracious and tolerant of my insistence that the Guardian should do better in ensuring that the data they promote for use by readers be better formatted. I have done this publicly, both here and on Twitter. Belatedly, I decided to investigate further, in order to determine the extent of what I perceived as a lack of rigour in preparing the data behind their excellent, World class data visualisations, and data journalism. What I discovered is that I have been guilty of drawing conclusions based on insufficient data, and my survey of seven days of @GuardianData has revealed the high data curation standards undertaken by Simon's team. which underpin the excellent journalism for which the Guardian is rightly renowned I will present the results of my investigation as my final assignment for Alberto Cairo's Data visualisation MOOC.
I am posting this now because I believe that I have already discovered enough to completely and unconditionally withdraw my criticism and apologise without reservation for my overly smug and entirely precipitous judgement. It would be remiss of me to leave an unjust claim in the public domain. The basis for my criticism was based on an unrepresentative sample and I am sufficiently experienced to have realised what I should have done before writing a single word on this matter: the research I have now undertaken to assess the extent, or otherwise, of the problem I perceived. I failed in that responsibility and seek to make amends by displaying the facts so that others may judge for themselves. I am still in the process of doing that, but the weight of evidence is already sufficient to justify this action.
I hope that I can do a good job at that at least, and apologise to all those that have been kind enough to visit this blog, to whom I have a responsibility of pursuing best practice. I apologise publicly to Simon here and to all members of his team who may have felt that they were also unjustly criticised; I will endeavour to apologise to him personally as well.
Now, I also promised you a chart and here it is - just a first stab (I've been thinking about a Slopegraph as well). My actual contribution will be delivered just under the wire (as usual).
*viziblog - soon to be the international term to denote data visualisation blogs, therefore removing the concern over whether you should search twitter for #datavisualisation or #datavizualisation or #datavisualization or #.. you get the idea. #viziblog saves anxiety, and importantly for twitter, saves characters