Set up Jupyter : Instructions for creating a custom Python environment for working with JupyterLab and Altair.
Using Git : The super fast guide to getting started with git.
This is a collection to links that you will find useful for the class.
JupyterLab : The documentation for the JupyterLab project.
Altair : The Python visualization library we will be using.
Vega-Lite : We will not be using Vega-Lite directly, but Altair is built on top of it, and "compiles" down to Vega-Lite JSON files. This documentation can be useful for understanding the output and also for understanding some of the less well documented aspects of Altair.
Miniconda : Documentation for the Python environment we will be using in this class.
D3 : D3 is a powerful tool for creating interactive visualizations online. We will be making extensive use of this for projects.
D3 API : The master reference to the D3 API.
D3 Tips and Tricks : Another freely (or almost freely if you choose to give him his buck) book on D3.
Eloquent JavaScript : A good (and freely available) introduction to JavaScript.
mbostock's blocks : A collection of D3 examples from the main developer.
Some useful tools you can use to transform data
Open Refine : A tool for helping you clean and rearrange messy data. it is worth watching the videos to get some idea about what it can do
Mr. Data Converter : A tool for converting data from one format to another
Some data sets to explore. Don't feel limited to these. If you have an interest, there is a good chance someone else has a passion for the same thing and has collected statistics for it. So pull up your favorite search engine and go looking.
Google Public Data : A big collection of public data, complete with some simple visualizations of it
Data Portals : Another big collection of data sets
Computational Reporting Datafest collection : A collection of datasets for those with a bent towards politics (or an interest in bent politics)
2010 Census data (local) : Census data including average income, percent of the population with a higher degree, population and racial break down
Baby names 1880 - 2012 (local) : Counts of the most popular baby names from 1880-2012 in one file
Doctor Who (local) : Basic statistics for each Doctor's tenure (number of companions, start and end year, number of episodes and total duration of all episodes)
Visual Analytics Benchmark Repository : A good collection of data sources (some of these are also listed below).
Data.gov : All kinds of interesting datasets from our government.
Freebase : A huge collection of community created or sourced data. Like the Wikipedia of data sets.
Baby names (social security website) : The full set of baby names. Also includes names broken down by state
US census data : Data from the Census Bureau
The World Bank : A large collection of worldwide development data
FedStats : A collection of open government data sets
Bureau of Labor Statistics : Data from the Department of Labor
World Health Organization : health statistics from around the world
Google NGrams : Google's massive collection of ngrams (words and phrases) that they have compiled as part of their book scanning project
Million Song Dataset : Audio features and metadata from a million music tracks
Open Street Map : A community driven alternative to Google maps with fairly easy to use geographic data
GeoCommons : Geographic data and visualizations
Sports Reference : A ridiculous amount of sporting data
Cool visualizations, interesting articles, and general visualization stuff that is cool or interesting.
NameVoyager : Look up the popularity of names over the years.
Thumbs Up Viz : A blog that seeks out good visualization examples
WTF Visualizations : A blog that seeks out the other kind of visualizations.
eagereyes : A blog that discusses various visualization issues.
Information visualization links : A big collection of visualization links
Voyager 2 : A graphical data exploration tool based on visualization recommendations