The exact approaches and questions to answer are at your discretion but must be approved by the instructor.
General guidelines for your presentation and writeup:
1. Demonstrate and point out the concepts of this course that were leveraged in your project, e.g.,
a. Cleveland & Tufte on chart junk, data/ink ratio, lie ratio, visual properties of marks, …
b. Best practices for descriptive infographics
c. Scaling to large dimensions – graph selection, chart composition/dashboards
d. Scaling to large observations – overview and navigation strategies
e. Cognition
2. Include your anticipated dataset(s) and techniques/software. Please provide a list of the main references you want to use for your project in any appropriate format, e.g. Vancouver or APA style
MY TOPIC:
Gender and Alzheimer’s disease
Reoccurring techniques:
D3.js and websites
Analyses >> interactive Tableau composition
Python graphics (batch generation: geospatial, parallel coordinates, )
Text analysis >> visuals