Twenty rules for good graphics
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...
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Animated plots in R and LaTeX
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...
View ArticleData visualization videos
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...
View ArticleData visualization
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...
View ArticleThe Young Stats Communication Challenge
The Australian Young Statisticians Conference (Feb 2013) is organizing a communication competition. They invite all early-career statisticians (studying, or within 5 years of graduation) to produce a...
View ArticleLaTeX loops
Today I was writing a report which included 20 figures, with the names demandplot1.pdf, demandplot2.pdf, …, demandplot20.pdf, and all with similar captions. Clearly a loop was required. After all,...
View ArticleRemoving white space around R figures
When I want to insert figures generated in R into a LaTeX document, it looks better if I first remove the white space around the figure. Unfortunately, R does not make this easy as the graphs are...
View ArticleReflections on UseR! 2013
This week I’ve been at the R Users conference in Albacete, Spain. These conferences are a little unusual in that they are not really about research, unlike most conferences I attend. They provide a...
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Visit of Di Cook
Next week, Professor Di Cook from Iowa State University is visiting my research group at Monash University. Di is a world leader in data visualization, and is especially well-known for her work on...
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A new candidate for worst figure
Today I read a paper that had been submitted to the IJF which included the following figure along with several similar plots. (Click for a larger version.) I haven’t seen anything this bad for a long...
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Visualization of probabilistic forecasts
This week my research group discussed Adrian Raftery’s recent paper on “Use and Communication of Probabilistic Forecasts” which provides a fascinating but brief survey of some of his work on modelling...
View ArticleStatistical modelling and analysis of big data
There is a one day workshop on this topic on 23 February 2015 at QUT in Brisbane. I will be speaking on “Visualizing and forecasting big time series data”. OVERVIEW Big data is now endemic in business,...
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Di Cook is moving to Monash
I’m delighted that Professor Dianne Cook will be joining Monash University in July 2015 as a Professor of Business Analytics. Di is an Australian who has worked in the US for the past 25 years, mostly...
View ArticleSeminars in Taiwan
I’m currently visiting Taiwan and I’m giving two seminars while I’m here — one at the National Tsing Hua University in Hsinchu, and the other at Academia Sinica in Taipei. Details are below for those...
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Murphy diagrams in R
At the recent International Symposium on Forecasting, held in Riverside, California, Tillman Gneiting gave a great talk on “Evaluating forecasts: why proper scoring rules and consistent scoring...
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Mathematical annotations on R plots
I’ve always struggled with using plotmath via the expression function in R for adding mathematical notation to axes or legends. For some reason, the most obvious way to write something never seems to...
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Plotting overlapping prediction intervals
I often see figures with two sets of prediction intervals plotted on the same graph using different line types to distinguish them. The results are almost always unreadable. A better way to do this is...
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forecast v7 and ggplot2 graphics
Version 7 of the forecast package was released on CRAN about a month ago, but I'm only just getting around to posting about the new features. The most visible feature was the introduction of ggplot2...
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Explore Australian Elections Data with R
This is a guest post by my colleague Professor Di Cook, cross-posted from her Visiphilia blog. Di and I are two of the authors of the new eechidna package for R, now on CRAN. The eechidna package has...
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Forecast v7 (part 2)
As mentioned in my previous post on the forecast package v7, the most visible feature was the introduction of ggplot2 graphics. This post briefly summarizes the remaining new features of forecast v7....
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