Blog Archives

F1 2012 Mid-Season Review

August 30, 2012
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F1 2012 Mid-Season Review

Rather belatedly, I got around to posting a series of posts summarising the Formula One season to date: F1 2012 Mid-Season Review – Grid/Classification Analysis: for example, how do the drivers’ grid and final classifications compare? F1 2012 Mid-Season Review – Pit Stops: for example, how does pit stop performance across the teams compare? F1

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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

August 23, 2012
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Open Research Data Processes: KMi Crunch – Hosted RStudio Analytics Environment

One of the possible barriers to widespread adoption of open notebook science is knowing where to start. Video reports of lab experiments hosted on Youtube can be easily embedded in a hosted WordPress blog; a MediaWiki wiki can be used to provide one page per experiment, with change tracking/history on each page and a shadow

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Creating Olympic Medal Treemap Visualisations Using OTS R Libraries

August 7, 2012
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Creating Olympic Medal Treemap Visualisations Using OTS R Libraries

In London Olympics 2012 Medal Tables At A Glance? I posted some treemap visualisations of the Olympics medal tables generated using a Google Visualisation Chart treemap component. I thought it might be worth posting a quick R generated example too, using the off-the-shelf/straight out of CRAN treemap component. (If you want to play along, download

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At A Glance View of the 2012 Olympics Heptathlon Performances

August 4, 2012
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At A Glance View of the 2012 Olympics Heptathlon Performances

I spent most of today, err, yesterday, failing to hold back the tears as the medal performances from the Team GB Olympians kept rolling in… So to celebrate one of those wonderful performances, here are a couple of quick sketches of how Jessica Ennis made her medal in the Heptathlon. (The data is cut and

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Fumblings with Ranked Likert Scale Data in R

July 9, 2012
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Fumblings with Ranked Likert Scale Data in R

The code is horrible and the visualisations quite possibly misleading, but I’m dead tired and there are a couple of tricks in the following R code that I want to remember, so here’s a contrived bit of fumbling with some data of the form: enjoyCompany tooMuchFamily 1 strongly agree strongly disagree 2 strongly agree strongly

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Interest Differencing: Folk Commonly Followed by Tweeting MPs of Different Parties

July 6, 2012
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Interest Differencing: Folk Commonly Followed by Tweeting MPs of Different Parties

Earlier this year I doodled a recipe for comparing the folk commonly followed by users of a couple of BBC programme hashtags (Social Media Interest Maps of Newsnight and BBCQT Twitterers). Prompted in part by a tweet from Michael Smethurst/@fantasticlife about generating an ESP map for UK politicians (something I’ve also doodled before – Sketching

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Doodling With a Conversation, or Retweet, Data Sketch Around LAK12

May 2, 2012
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Doodling With a Conversation, or Retweet, Data Sketch Around LAK12

How can we represent conversations between a small sample of users, such as the email or SMS converstations between James Murdoch’s political lobbiest and a Government minister’s special adviser (Leveson inquiry evidence), or the pattern of retweet activity around a couple of heavily retweeted individuals using a particular hashtag? I spent a bit of time

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Visualising F1 Telemetry Data and Plotting Latitude and Longitude with ggplot Map Projections in R

March 14, 2012
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Visualising F1 Telemetry Data and Plotting Latitude and Longitude with ggplot Map Projections in R

Why don’t X-Y plots of latitude and longitude data look “right” compared to traditional map views? For example, here’s an X-Y scatterplot of some of Jenson Button’s McLaren telemetry data from the 2010 Australian Formula One Grand Prix: The image was generated, from a data file hosted on Google Spreadsheets, using the following R script,

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Visualising Twitter User Timeline Activity in R

February 17, 2012
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Visualising Twitter User Timeline Activity in R

I’ve largely avoided “time” in R to date, but following a chat with @mhawksey at #dev8d yesterday, I went down a rathole last night exploring a few ways of visualising a Twitter user timeline and as a result also had a quick initial play with some time handling features of R, such as timeseries objects,

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