A blog by Rob J Hyndman 

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Posts Tagged ‘graphics’:


Data visualization

Published on 5 March 2012

For those who have not read the sem­i­nal works of Tufte and Cleve­land, please hang your heads in shame. To sal­vage some sense of self-​​​​worth, you can then head over to Solomon Messing’s blog where he is start­ing a series on data visu­al­iza­tion based on the prin­ci­ples devel­oped by Tufte and Cleve­land (with R exam­ples). The clas­sics are also worth read­ing, and remain rel­e­vant despite the 20 or 30 years that have elapsed since they appeared.

 
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Data visualization videos

Published on 30 November 2010

Prob­a­bly every­one has seen Hans Rosling’s famous TED talk by now. If not, here it is: I recently came across a cou­ple of other excep­tional talks on data visu­al­iza­tion: Hans Rosling again: “Let my dataset change your mind­set”. If only all sta­tis­tics lec­tur­ers were this dynamic! David McCan­d­less: “The beauty of data visu­al­iza­tion”. Not so excit­ing as Hans, but some great exam­ples. And here’s an hour-​​​​length doc­u­men­tary hosted by Hans Rosling called “The Joy of Stats”.

 
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Animated plots in R and LaTeX

Published on 13 October 2010

I like to use ani­mated plots in my talks on func­tional time series, partly because it is the only way to really see what is going on with changes in the shapes of curves over time, and also because audi­ences love them! Here is how it is done.

 
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Twenty rules for good graphics

Published on 6 August 2010

One of the things I repeat­edly include in ref­eree reports, and in my responses to authors who have sub­mit­ted papers to the Inter­na­tional Jour­nal of Fore­cast­ing, are com­ments designed to include the qual­ity of the graph­ics. Recently some­one asked on stats​.stack​ex​change​.com about best prac­tices for pro­duc­ing plots. So I thought it might be help­ful to col­late some of the answers given there and add a few com­ments of my own taken from things I’ve writ­ten for authors. The fol­low­ing “rules” are in no par­tic­u­lar order. Use vec­tor graph­ics such as eps or pdf. These scale prop­erly and do not look fuzzy when enlarged. Do not use jpeg, bmp or png files as these will look fuzzy when enlarged, or if saved at very high res­o­lu­tions will be enor­mous files. Jpegs in par­tic­u­lar are designed for phở­tographs not sta­tis­ti­cal graph­ics. Use read­able fonts. For graph­ics I pre­fer sans-​​​​serif fonts such as Hel­vetica or Arial. Make sure the font size is read­able after the fig­ure is scaled to what­ever size it will be printed. Avoid clut­tered leg­ends. Where pos­si­ble, add labels directly to the ele­ments of the plot rather than use a leg­end at all. If this won’t work, then keep the leg­end from obscur­ing the plot­ted data,

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