This course will introduce students to working with data in the context of modern web applications. These include data representation with relational and non-relational databases, data mining to find patterns and make predictions, and graphical presentation for visualization.
Notes and "prompts" (pre-notes for upcoming classes) will be posted to GitHub. Assignments will be posted to CMS. Questions should go to Piazza.
Absences from class will be excused for compelling reasons, such as sports competitions or illness with appropriate documentation from the Athletic Dept or Gannett. A small number of absences for personal reasons such as interview travel. Classes immediately before University breaks are not optional. If you will not be able to make it to class, use this form to notify course staff. You must notify us before class or explain why you were unable to do so.
A Layered Grammar of Graphics by Hadley Wickham. Due Monday, Feb 6.
Tidy Data by Hadley Wickham. Due Wednesday, Feb 15.
Book: d3.js in Action by Elijah Meeks. Not required, but a good resource, and very close to my approach to teaching d3.
Inspiration: Feltron reports, Explained Visually.
It will be useful to have a webserver running locally on your computer. Here are some options: