This course introduces common data visualization techniques and design principles using python with the seaborn, bokeh, plotly, and networkx packages. Students design and implement interactive, multivariate, text, hierarchical, network, and temporal data visualizations. Restriction: Restricted to Graduate level; Restricted to Analytics Majors
All assignments are due at 11:59pm on the due date. Late submissions will NOT be accepted.| Description | Due Date | Points | ||
|---|---|---|---|---|
| A1 - Storytelling with Data | 3/26/2018 | 50 | ||
| A2 - Introduction to Data Visualization with Seaborn | 4/2/2018 | 50 | ||
| A3 - Time-Series Visualization | 4/9/2018 | 50 | ||
| A4 - Network Visualization | 4/23/2018 | 50 | ||
| A5 - Geographic Visualization | 5/3/2018 | 50 | ||
| Final Project | ||||
| Project Proposal | 4/17 | 50 | ||
| Revised Proposal, Related work, and Project Website | 4/19 | 50 | ||
| Alpha Release | 4/21 | 50 | ||
| Beta Release | 4/26 | 100 | ||
| Project Presentation | 5/8 and 5/10 | 100 | ||
| Project Submission and Peer Evaluations | 5/16 | 100 | ||