#RWC2015: visualising cap profiles

NZ

Earlier this month, I shared some data about age and cap profiles at #RWC2015.

I was delighted with the response to the open sharing of the data.

Rob Suddaby created a great interactive graphic in Tableau. You can find the graphic here. A grab from Rob’s workbook:

RS01

I have returned to these data after a couple of weeks following the open, online course #ds101x.

One of the exercises in that course used a box plot to visualise data.

This is a box plot of the caps data for all teams at #RWC2015:

Box Plot Caps

I used BoxPlotR to create the plot.I used green to indicate alternate teams.

In this plot:

  • Centre lines show the medians
  • Box limits indicate the 25th and 75th percentiles as determined by R software
  • Whiskers extend 1.5 times the interquartile range from the 25th and 75th percentiles.
  • Outliers are represented by dots.
  • The sample points are: n = 33, 31, 32, 32, 33, 31, 32, 32, 32, 31, 31, 32, 31, 31, 32, 32, 31, 31, 31, 34.

The data for each country are:

BP Statistics RWC2015

Daniel Evanko (2014) has written a detailed blog post about the online plotting tool, BoxPlotR. (There is a Nature (2014) editorial too.) There are some additional references here.

My .csv file for the plot is here.

BoxPlotR supports Violin and Bean plots. The violin plot got me thinking about #RWC2015 as an orchestra.

Violin RWC2015

These are some violin plot resources created and curated by Daniel Adler. I chose green as my default colour for this plot.

I hope these plots are another useful resource to discuss visualisation of data.

Photo Credit

Frame grab from the Official RWC2015 web site.

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