Data Visualization Challenge
Public Data Sets
- Great list of public data sets http://www.kdnuggets.com/datasets/index.html
- Spreadsheet with data from above https://docs.google.com/spreadsheets/d/1wZhPLMCHKJvwOkP4juclhjFgqIY8fQFMemwKL2c64vk/edit#gid=0
- Another list of public data https://github.com/TheRockStarDBA/awesome-public-datasets
- WorldBank Open Data http://data.worldbank.org/
- HUD http://data.hud.gov/data_sets.html
- San Diego Public Data http://data.sandiego.gov/
- Bureau of Justice Statistics http://www.bjs.gov/latestreleases.cfm
- Stanford Large Network Dataset Collection https://snap.stanford.edu/data/
- A large sample of Twitter data is available from the center if requested during or after registration. Please email firstname.lastname@example.org
- What decision does the visualization inform and how?
- Does the visualization capture an important pattern in the data?
- Is the visualization a good representation of the data?
- Is the visualization aesthetically pleasing?
- How original is the visualization?
Submit your visualization via the form on the right by midnight, March 22, 2017. The form accepts up to 3 files with a 30Mb total size limit. If you have a larger file to submit, please include a link in the message text (e.g. to a Google Drive file) Each submission should include:
- Cover Page. Project title and the name of each team member. For each team member, include their program affiliation (FTMBA, EWMBA, EMBA)
- A one-paragraph description. The description should include “what is the business problem” and “how does the visualization inform decision-making.”
- If you are submitting a static image, please format your file as a PDF, PNG or SVG. If the visualization is in the form of a video or interactive Web page, submit a URL to the video or page.
- A description of the data source(s) used (provide link if the data is publicly available).
- References (and/or links) to known visualization(s) of the same data set that you are aware of.
- A one-page summary description of the data science process flow (including tools and methods) used to create the visualization.
Disclaimer: All submitting teams grant the Fisher Center for Business Analytics the right to publish and to publicly display the visualization and its one-paragraph description.