Schedule
This is a living schedule and subject to change
Date |
Topic |
Reading |
Notes |
Assignment |
|
02/11 |
Introduction to information visualization |
WGK Ch 1 |
Introduction |
|
|
02/13 |
Introduction to R |
|
R command history |
HW1 due 2014-02-20 |
|
02/18 |
Data |
WGK Ch 2 |
Data, R command history |
|
|
02/20 |
Perception |
WGK 3.1-3.3 |
Perception 1 |
HW2 due 2014-02-27 |
|
02/25 |
Visual variables |
WGK 3.3-3.5 + 4.1-4.3 |
Visual variables I |
|
|
02/27 |
Visual variables II |
WGK 3.3-3.5 + 4.1-4.3 |
Visual variables II |
|
|
03/04 |
Effective visualization |
WGK 12 |
Good vis, bad vis |
HW3 due 2014-03-11 |
|
03/06 |
Intro to D3 |
M 2-3, 5-8 |
D3 template, First bar chart |
|
|
03/11 |
D3 II |
M 7-8 |
Second bar chart, scatterplot, line chart |
HW4 due 2014-03-18 |
|
03/13 |
Interaction |
WGK 10-11 |
Interaction |
|
|
03/18 |
D3 Interaction |
M 9-10 |
highlights and tooltips |
HW5 due 2014-04-03 |
|
03/20 |
Interactions II |
|
Overview and Navigation |
|
|
03/25 |
Spring break |
|
|
|
|
03/27 |
Spring break |
|
|
|
|
04/01 |
Multivariate data, part 1 |
WGK 7 |
Multivariate I |
|
|
04/03 |
Multivariate data, part 2 |
WGK 7 |
Multivariate II |
HW6 due 2014-04-10 |
|
04/08 |
Geospatial data |
WGK 6 |
Geospatial Visualization |
|
|
04/10 |
Geospatial visualization with D3 |
M 12 |
SVG Choropleth,GeoJSON Choropleth, Dot Density map, Zooming dot density, TopoJSON |
HW7 due 2014-04-17 |
|
04/15 |
Hierarchies, Nodes and Graphs, part 1 |
WGK 8 |
Hierarchies and Trees |
|
|
04/17 |
Hierarchies, Nodes and Graphs, part 2 |
WGK 8 |
Graphs and Networks |
|
|
04/22 |
D3 layouts |
|
D3 layout examples |
|
|
04/24 |
Text, part 1 |
WGK 9 |
Text |
|
|
04/29 |
Text, part 2 |
WGK 9 |
|
|
|
05/01 |
Visual Analytics |
|
|
|
|
05/06 |
Project presentations |
|
|
|
|
05/08 |
Project presentations |
|
|
|
|
05/18 |
Projects Due |
|
|
Final Project |
|
Resources
This is a collection to links that you will find useful for the class.
- R Cookbook
- A collection of quick tutorials covering some common tasks in R
- R Studio
- We are going to start by doing some basic exploratory data analysis using R. We’ll be using R Studio as our workbench.
- R
- You need to install this in addition to RStudio
- ggplot2 Documentation
- A list of all the bits and pieces that come along with ggplot2 and the related documentation
- D3
- D3 is a powerful tool for creating interactive visualizations online. We will be making extensive use of this for projects.
- D3 Tips and Tricks
- Another freely (or almost freely if you choose to give him his buck) book on D3.
- mbostock’s blocks
- A collection of D3 examples from the main developer.
- 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
Data
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.
- 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 stuff
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