DCF is a seven-week, one-credit hour course. It’s intended to provide an introduction to the technology of data appropriate for natural and social science in the 21st century.
Infrastructure for computing with data. Goals for the week.
Before Class
Notes:
Structure of Data, A Quick Start with R, Paths and File Types
Videos (optional): Logging in to the RStudio server I & II. R/Markdown I & II.
In Class and After
Assignment 1 due Fri. Sept. 20. Hand in here.Data summaries and graphics. Goals for the Week
Before Class
In Class and After
Notes from Class and graphics worksheet
Assignment 2 due 24 Sept. Hand in here.
Data Verbs Goals for the Week
Before Class
Notes: More Data Verbs, details on a special data verb: Join, Graphics: Facets and Layers
In Class and After
Working with Multiple Tables Goals for the Week
Before Class
In Class and After
Stats and Properties of Cases Collectively. Goals for the Week
Before Class
In Class and After
Scraping and Cleaning Data. Goals for the Week
Before Class
In Class and After
Assignment 6 due Nov. 12. Hand in here.
Working with multiple variables Goals for the Week
Before Class
In Class and After
ggplot() graphics … data source
Development of the course is supported by a grant to Macalester College from the Howard Hughes Medical Institute. The Mosaic Project is supported by the US National Science Foundation (DUE-0920350).
The presenter of these videos (Paul Vichanis (sp?), at http://www.mybringback.com/) uses a very different style of R than we are using. Don’t worry about the details of the commands he uses. Just get a feel for the overall problem.↩