Data Visualization Boot Camp | Digital Odyssey 2013

Description

Brief introduction of data visualization concepts, brief introduction of d3, and a walkthrough of three exercises using library datasets.

Exercise 1

The first dataset is a sub-section of metadata from a library digitization program. We explore this data using a pie chart to visualize the number of items pertaining to each collection, and also show outliers.

Exercise 2

The second data is a selection of MARC data. We explore this data using a histogram to do things like:

1. Show the distribution of material publication over time
2. Show proportion of materials by subject
3. Show number of items in a given format in a collection

Getting Started

1. Clone the repo: git clone https://github.com/olita/DO2013-data-viz-bootcamp.git
2. cd DO2013-data-viz-bootcamp
3. python -m SimpleHTTPServer
4. Check out Exercise 1, and Exercise 2.
5. If you think it should be better (it totally can!) fork! If you want to share back, give us a pull request.

Resources

• d3 Gallery
• d3 Tutorial
• vogievetsky - d3 Presentation
• Designing Data Visualizations (Book)
• Dead easy data visualization for libraries - Sarah Severson (Access 2012)
• On Dentographs, A New Method of Visualizing Library Collections
• Visualizing Library Statistics using Open Flash Chart 2 and Drupal
• Interpreting MARC: Where’s the Bibliographic Data?