Location Cube

Wednesday, April 30, 2014

Bayes’ Theorem

Find the probability of A occurring given that B occurs.

Use a tree diagram to work out the probabilities.

Multiply when going deeper into a tree…
Add when combining separate branches….
So probability of getting a Q would be…
P(Q) = (1/3) . (1/2) + (2/3) . (1/4) = 1/6 + 1 / 6 = 1/3

Example from patrickJMT
https://www.youtube.com/watch?v=j2tNxIaGpR4

Tuesday, February 11, 2014

DARPA open source

http://www.darpa.mil/OpenCatalog/index.html

The DARPA Open Catalog contains two tables:

The Software Table lists performers with one row per piece of software. Each piece of software has a link to an external project page, as well as a link to the code repository for the project. The software categories are listed; in the case of XDATA, they are Analytics, Visualization and Infrastructure. A description of the project is followed by the applicable software license. Finally, each entry has a link to the publications from each team's software entry.

The Publications Table contains author(s), title, and links to peer-reviewed articles related to specific DARPA programs.

Open data tools

http://civic.io/2014/01/15/5-essential-open-data-tools/

has a great list of tools... here is what they say....

“

5 Essential Open Data Tools

Every data wrangler has their own list of favorites – the go to tools that they use when they need to work with data. If you need to clean, transform, or mashup data or if you are working with a data set that will form the basis for an application, here is a list of tools that can make life easier for you.

OpenRefine – I don’t think there is a better tool for cleaning messy data than OpenRefine. One of my favorite features is the ability to add new columns to a data set based on data in an external web service.

jq – I see a lot of JSON in my job, and its exceptionally easy to use JSON data with a tool like this one. For example, here is a simple jq recipe for extracting a list of licensed pawn shops in Philadelphia to a CSV file.

csvkit – CSV is another format I see almost everyday, and using csvkit makes it simple. My favorite utility – though I don’t use it often – is csvsql. use this handy utility to generate SQL insert statements and easily create a relational database from a CSV file.

Unix shell – jq and csvkit are both command line tools, and the Unix shell is the place where I spend a lot of time working with data. Without getting into a Windows vs. *nix war, there is simply no better collection of utilities for working with text files than those that can accessed via the shell. Tools like curl, grep, sed, awk, cut and a host of others are enormously useful on their own, or in combination with tools like jq and csvkit.

CartoDB – pretty much the easiest way to create a web-based map from an open data set. There’s even an API for building apps on top of the data you have in your CartoDB account. Enough said.