Folks may debate the merits of the SHODAN tool, but in my opinion it’s a valuable resource, especially if used for “good”. What is SHODAN? I think ThreatPost summed it up nicely: “Shodan is a Web based search engine that discovers Internet facing computers, including desktops, servers and routers. ...

I’ve heard quite a bit about the current problems with the Mississippi River and wanted to see for myself (with data) just how bad it is. St Louis seems to be quite indicative of the severity of the situation, so I pulled the USGS “stream” records for it and ...

I updated the code to use ggsave and tweaked some of the font & line size values for more consistent (and pretty) output. This also means that I really need to get this up on github. If you even remotely follow this blog, you’ll see that I’m kinda obsessed ...

Naomi Robbins is running a graph makeover challenge over at her Forbes blog and this is my entry for the B2B/B2C Traffic Sources one (click for larger version): And, here’s the R source for how to generate it: library(ggplot2)   df = read.csv("b2bb2c....

UPDATE: As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight I will (most likely) not be littering the blog with any more updates to the ‘Sandy’ code unless they are really ...

As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight NOTE: There is significantly updated code on github for the Sandy ‘R’ dataviz. This is a follow-up post to the quickly crafted ...

UPDATE: Significantly updated code on githubWell, a couple folks asked how to make it more “centered” on the hurricane and stop the labels from chopping off, so I modified the previous code a bit to show how to do that. As indicated in the code comments, Google took down the ...

NOTE: A great deal of this post comes from @jayjacobs as he took a conversation we were having about thoughts on ways to look at the data and just ran like the Flash with it. Did you know that – if you’re a US citizen – you have approximately a 1 in 5 ...

Since F-Secure was #spiffy enough to provide us with GeoIP data for mapping the scope of the ZeroAccess botnet, I thought that some aspiring infosec data scientists might want to see how to use something besides Google Maps & Google Earth to view the data. If you look at the CSV ...

As promised, this post is a bit more graphical, but I feel the need to stress the importance of the first few points in chapter 2 of the book (i.e. the difference between mean and average and why variance is meaningful). These are fundamental concepts for future work. The “pumpkin” ...