Posts Tagged ‘ graphics ’

Revisiting homicide rates

February 10, 2012
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Revisiting homicide rates

A pint of R plotted an interesting dataset: intentional homicides in South America. I thought the graphs were pretty but I was unhappy about the way information was conveyed in the plots; relative risk should be very important but number … Continue reading →

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R charts used for analysis at Politico

February 10, 2012
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R charts used for analysis at Politico

Zack Abrahamson, the "data whiz" at political analysis site Politico, is apparently an R user. Politico's Feb 10 2012 chart of the day clearly uses the ggplot2 graphics package and (quoting Politico) looks into the disenchanted slice of the GOP that’s not engaged with its party’s primary. And that slice doesn’t like Mitt Romney. People say turnout's down. When...

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Slides and replay for "A backstage tour of ggplot2"

February 9, 2012
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Many thanks to Hadley Wickham for his informative and entertaining webinar yesterday, "A backstage tour of ggplot2". Thanks also to everyone who submitted questions -- with more than 800 attendees live on the line we had many more questions than we had time to answer. For more ggplot2 information, Hadley kindly provided the following resources in his slides: ggplot2...

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What are the most popular bike routes in London?

February 7, 2012
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What are the most popular bike routes in London?

James Cheshire, R user and lecturer at the UCL Centre for Advanced Spatial Analysis, created this map of the most trafficked cycle routes in London: Click to enlarge, it's a gorgeous chart. The bicycle traffic data comes from London's public cycle-hire facility, which currently is only available in central London (which is why you don't see much activity in...

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The anatomy of a Twitter conversation, visualized with R

February 6, 2012
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The anatomy of a Twitter conversation, visualized with R

If you're a Twitter user like me, you're probably familiar with the way that conversations can easily by tracked by following the #hashtag that participants include in the tweets to label the topic. But what causes some topics to take off, and others to die on the vine? Does the use of retweets (copying another users tweet to your...

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R Chart featured in Facebook IPO

February 2, 2012
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R Chart featured in Facebook IPO

Page 7 of Facebook's 213-page S-1 filing for their record-breaking IPO includes the following chart, under the headline: "Our Mission: To make the world more open and connected". This chart was created using the R language and Hadoop by Facebook intern Paul Butler. (Thanks to the blog IOER Tools for first noticing the inclusion of the chart.) And speaking...

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Hadley Wickham goes behind the scenes on ggplot2

January 20, 2012
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Hadley Wickham goes behind the scenes on ggplot2

Hadley Wickham, creator of the ggplot2 packages for R (as well as several others) will present a webinar on February 8 going behind the scenes of the popular graphics package. If you've never used ggplot2 before, this will be a great way to learn about the kinds of charts you can create with it; and if you're a regular...

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Visualize your Facebook friends network with R

January 19, 2012
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Visualize your Facebook friends network with R

A few days ago, Romain François explained how to interface with the Facebook Graph API explorer with R. This was a low-level interface, giving the R programmer the ability to the raw data that Facebook can provide about your connections. Now, just four days later, the first application in R (that I know of) based on the Facebook Graph...

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NYT uses R to map the 1%

January 17, 2012
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NYT uses R to map the 1%

Last Saturday, the New York Times published a feature article on the wealthiest 1% of Americans. The on-line version of the article included interactive features like this interactive map showing where your household ranks in the country and in local regions. The print edition, however, included some different (and necessarily static) representations of US wealth data, such as this...

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Example 9.19: Demonstrating the central limit theorem

January 11, 2012
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Example 9.19: Demonstrating the central limit theorem

A colleague recently asked "why should the average get closer to the mean when we increase the sample size?" We should interpret this question as asking why the standard error of the mean gets smaller as n increases. The central limit theorem shows t...

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