The MakeR way: Using R to reify social media data via 3d printing

Posted by on Oct 3, 2013 in Data Visualization, Information Visualization, Methods, Modeling, R, r-project, Social Networks, Uncategorized | 6 comments

small_3dprintIf you’ve read any of my previous posts you know that I am constantly experimenting with different ways to represent and explore social network data with R. For example, in previous posts I’ve written about sonification of tweet data, animation of dynamic twitter networks, and various ways to plot social networks (here and here). In each case the underlying idea is finding different ways to explore data under the assumption that sometimes just looking at something from a different point of view reveals something novel. In this post I will briefly discuss how to go from data to 3D model network, to 3D object using R most of the way.

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Data sonification with R: the sound of Twitter data

Posted by on May 29, 2013 in R, r-project, Social Networks | 2 comments

tweet_waveWhat does a tweet sound like? Not the kind that flies around in the air, but the kind that zips to and from our mobile devices. I’m intensely interested in finding ways to make sense of data. Sonification of data – representing data with sound – offers one way to do that. This post steps through R code to take the text of tweets and turn them into short chirping sounds. It also uses different tones for different users so that each user has a “voice”. In other words, this post shows how to use R to make Twitter data sing.

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Big Data Viz Rap: Visualize, Analyze and Realize

Posted by on Apr 12, 2013 in Data Visualization | 1 comment

DataVizRap_800x800Robert Mason, Shawn Walker and Jeff Hemsley participated in the University of Washington, Information School’s iAffiliates Day, “an event that fosters new partnerships and showcases the innovative work being done at the iSchool. The event is an unconference format with the theme of discovering information partnerships”. Participants give a two minute lightning talk intended to “enlighten, inspire, educate, or otherwise engage the audience” about a given topic. Jeff chose to “otherwise engage” the audience with a two minute rap about data visualization. Read more for the full text.

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Visualizing threaded conversation volume and intensity

Posted by on Jan 24, 2013 in Data Visualization, Information Visualization, R, r-project | 5 comments

click for larger view

click for larger view

As a researcher interested in information flows in digital environments I’m often interested in finding patterns in social trace data. For this discussion we can think of digital social trace data as the text that people post into threaded topics on forums, like on Reddit or a Wiki Talk page on Wikipedia. One way to find patterns in this kind of data is to make visualizations based on different quantifiable dimensions in the data, for example, total topic volume per day, volume per thread per day, and, possibly, the intensity of the discussion (as interpreted by qualitative researchers). In the remainder of this post I will note what we can learn from our visualization as well as its limitations and then post the R code I used to make the plot.

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R Gauge Plots

Posted by on Jan 17, 2013 in Data Visualization, Information Visualization, R, r-project | 9 comments

Click for larger viewGaston Sanchez’s post on R-Bloggers inspired me to waste a bit of time. He wanted to replicate the Google Charts widget to make gauges. I modified his code (below) in some minor ways and made a function out of it so you can alter the look and feel of your gauge. Feel free to pilfer and modify the R code…

 

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