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Communication Consolidation

Communication Consolidation
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D3.js – thinkDataVis In this post I will be showing how I made my map for the post, Average age of Brooklyn’s buildings mapped. I did it with: Completely open source toolsD3.js and hexbins.js to render in FirefoxInkscape and Paint.NET for graphical editingOpen Street Map for the basemap Overall Technique The overall technique is based on using D3.js offline in the browser on a one-off basis to create a static visual that you will use elsewhere. I outline the technique here in my post, Use D3.js on your desktop to publish static visualisations Get Data You can get the CSV I used here. Creating the Heat for the Map First of all we’re going to be using D3.js along with hexbins.js. Using D3.js as you normally would, and I’m not going to give a complete tutorial on that here… The full code listing is at the bottom of this post. First of all, add an SVG to the document. Now we create two scales to translate the XCoord and YCoord from the Brooklyn data into coordinates in our chart. hexBinsData = hexbin(data); Done!

Nmap - Free Security Scanner For Network Exploration & Security Audits. Average age of Brooklyn’s buildings mapped – thinkDataVis I saw this recently here. It’s a map showing the age of Brooklyn’s buildings. What do I get from the map? Every data point is plotted, so if I were a Brooklyner, I would probably find my street or look up my favourite building. What I tried. So I made this. (click for the huge version) By showing the average build year for buildings in each hexagon, rather than plotting every single data point, some patterns are more visible. Hexagon Size The size or “radius” of the hexagons is an important parameter of the visualization. Aggregation While my map is not a compelling improvement on the original, I think it is a nice demonstration of the power of aggregation.

John the Ripper password cracker John the Ripper is free and Open Source software, distributed primarily in source code form. If you would rather use a commercial product tailored for your specific operating system, please consider John the Ripper Pro, which is distributed primarily in the form of "native" packages for the target operating systems and in general is meant to be easier to install and use while delivering optimal performance. This version integrates lots of contributed patches adding GPU support (OpenCL and CUDA), support for a hundred of additional hash and cipher types (including popular ones such as NTLM, raw MD5, etc., and even things such as encrypted OpenSSH private keys, ZIP and RAR archives, PDF files, etc.), as well as some optimizations and features. Unfortunately, its overall quality is lower than the official version's. Requires OpenSSL. To verify authenticity and integrity of your John the Ripper downloads, please use our PGP public key. Contributed resources for John the Ripper:

CodeFlower Source code visualization This experiment visualizes source repositories using an interactive tree. Each disc represents a file, with a radius proportional to the number of lines of code (loc). All rendering is done client-side, in JavaScript. Try hovering on nodes to see the loc number, clicking on directory nodes to fold them, dragging nodes to rearrange the layout, and changing project to see different tree structures. Built with d3.js. Inspired by Code Swarm and Gource. Purpose Did you ever dive into an existing project and wish you could have a bird's eye view of the whole code? CodeFlowers tries to answer these needs. Usage To create a CodeFlower, include the CodeFlower.js file together with d3.js, just like in this page. var myFlower = new CodeFlower("#visualization", 300, 200); myflower.update(jsonData); Input data format The jsonData format taken as input to update() is extremely simple. Generating JSON for a project It's easy to generate loc metrics for any project, whatever the language. Licence

Open Port Check Tool D3.js - Data-Driven Documents Wireshark · Go deep. reveal.js - The HTML Presentation Framework