SOURCE Boston (@SOURCEConf) Data Analysis & Visualization Talk Resources #srcbos13

Many thanks to all who attended the talk @jayjacobs & I gave at @SOURCEconf on Thursday, April 18, 2013. As promised, here are the [slides]( which should be much less washed out than the projector version :-)

We’ve enumerated quite a bit of non-slide-but-in-presentation information that we wanted to aggregate into a blog post so you can viz along at home. If you need more of a guided path, I strongly encourage you to take a look at some of the free courses over at [Coursera](

For starters, here’s a bundle of data analysis & visualization bookmarks that @dseverski & I maintain. We’ve been doing (IMO) a pretty good job adding new resources as they come up and may have some duplicates to the ones below.

People Mentioned

– [Stephen Few’s Perceptual Edge blog]( : Start from the beginning to learn from a giant in information visualization
– [Andy Kirk’s Visualising Data blog]( (@visualisingdata) : Perhaps the quintessential leader in the modern visualization movement.
– [Mike Bostock’s blog]( (@mbostock) : Creator of D3 and producer of amazing, interactive graphics for the @NYTimes
– [Edward Tufte’s blog]( : The father of what we would now identify as our core visualization principles & practices.
– [Nathan Yau’s Flowing Data blog]( : Making visualization accessible, practical and repeatable.
– [Jay’s blog](
– [My {this} blog](

Tools Mentioned

– [R]( : Jay & I probably use this a bit too much as a hammer (i.e. treat ever data project as a nail) but it’s just far too flexible and powerful to not use as a go-to resource
– [RStudio]( : An *amazing* IDE for R. I, personally, usually despise IDEs (yes, I even dislike Xcode), but RStudio truly improves workflow by several orders of magnitude. There are both desktop and server versions of it; the latter gives you the ability to setup a multi-user environment and use the IDE from practically anywhere you are. RStudio also makes generating [reproducible research]( a joy with built-in easy access to tools like [kintr](
– [iPython]( : This version of Python takes an already amazing language and kicks it up a few notches. It brings it up to the level of R+RStudio, especially with it’s knitr-like [iPython Notebooks]( for–again–reproducible research.
– [SecViz]( : Security-centric Visualization Site & Tools by @raffaelmarty
– [Mondrian]( : This tool needs far more visibility. It enables extremely quick visualization of even very large data sets. The interface takes a bit of getting used to, but it’s faster then typing R commands or fumbling in Excel.
– [Tableau]( : This tool may be one of the most accessible, fast & flexible ways to explore data sets to get an idea of where you need to/can do further analysis.
– [Processing]( : A tool that was designed from the ground up to help journalists create powerful, interactive data visualizations that you can slipstream directly onto the web via the [Processing.js]( library.
– [D3]( : The foundation of modern, data-driven visualization on the web.
– [Gephi]( : A very powerful tool when you need to explore networks & create beautiful, publication-worthy visualizations.
– [MongoDB]( : NoSQL database that’s highly & easily scaleable without a steep learning curve.
– [CRUSH Tools by Google]( : Kicks up your command-line data munging.

Cover image from Data-Driven Security
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1 Comment SOURCE Boston (@SOURCEConf) Data Analysis & Visualization Talk Resources #srcbos13

  1. DDoS Protection

    I love the tutorial on the MongoDB website. Interactive at the best. Planning to use this in my next project.


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