By Bob Rudis (@hrbrmstr) & Jay Jacobs (@jayjacobs)
Sun 20 April 2014 | tags: python, ssl, heartbleed, analysis, contest, -- (permalink)

The fine folks over as SANS ISC tweeted this out last week:

That piqued the curiosity of both of us, especially @hrbrmstr after him ...


By Bob Rudis (@hrbrmstr)
Sun 20 April 2014 | tags: datavis, hbr, -- (permalink)

The Harvard Business Review (@HarvardBiz) online magazine* is chock full of great articles, many of which intersect with the notion of creating compelling narratives and/or visualizations with data (two of the premises we talk about frequently in our book). Here are some excellent data-oriented articles there that I felt ...


By Jay Jacobs (@jayjacobs)
Mon 14 April 2014 | tags: R, video, -- (permalink)

Well over a year ago, I stumbled across “Mapping Bike Accidents in R” and was immediately taken in by the possibilities of creating videos from data. Since then I’ve done several videos, mostly just for fun. We also touched on the topic rather briefly in our book, and I ...


By Bob Rudis (@hrbrmstr)
Tue 08 April 2014 | tags: R, visualization, , -- (permalink)

The US Government Accountability Office (GAO) released a report on April 2, 2014 titled “Federal Agencies Need to Enhance Responses to Data Breaches“. One of the extremely positive effects of Section 508 is that agencies must produce these type of reports in an accessible format (usually plain text) and I ...


By Bob Rudis (@hrbrmstr)
Thu 03 April 2014 | tags: R, Fundamentals, -- (permalink)

There was an interesting question recently on StackOverlow on how to apply a function over a rolling window on a column in a data frame grouped by subset. It was a pretty vanilla SO question as those things go, but there were no less than four useful and diferent answers ...


By Steve Patton (@spttnnh)
Wed 02 April 2014 | tags: datavis, dataviz, AlienVault, data analysis. data management, R, -- (permalink)

In Part 1 we looked at acquiring raw data, and wrangling it into a time series dataset. In Part 2 we looked at types of threats in the time series. Now we will examine countries in the AlienVault reputation database.

One of the skills a data scientist must develop is ...


By Bob Rudis (@hrbrmstr)
Tue 01 April 2014 | tags: DBIR, -- (permalink)

Jay should really know better than to leave all his desktop windows up when sharing a screen over Skype with me.

While I should have just let it go, I feel compelled to share the 2014 DBIR ahead of the official release on the VZ site.

Tons of great info ...


By Bob Rudis (@hrbrmstr)
Tue 04 March 2014 | tags: book, -- (permalink)

(That glyph is “Celebration!”)

Jay & I just got word that Data-Driven Security is being translated into Simplified Chinese for distribution throughout Asian markets. The licensee is Beijing Huazhang Graphics & Information Co., Ltd. and we’ll actually be getting print copies of the translated text!

To the folks who found us ...


By Steve Patton (@spttnnh)
Mon 03 March 2014 | tags: datavis, dataviz, AlienVault, data analysis. data management, -- (permalink)

In Part 1 we looked at acquiring raw data, and wrangling it into a time series dataset. Now we will examine AlienVault types in the reputation database. Listing 3-22 of Data-Driven Security shows R code that groups type categories into a larger group of “multiples” when there is a semicolon ...


By Bob Rudis (@hrbrmstr)
Sun 02 March 2014 | tags: metricon, storify, -- (permalink)

Jay & I will be doing a podcast on RSA + METRICON 9 soon, but over the weekend I managed to make a "Storify-ed" recap of it from tweets that went throughout the day. While I already posted a direct link to Storify on Twitter, here's a re-post of it on DDS.


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