STAT 10
Interactive Data Visualization Winter 2020

This is not the current course catalog

Class Details

Data visualization is an important means of detecting patterns in data and communicating results to the public. However, if designed poorly, data visualizations can also be ineffective or misleading. Tools for interactive data visualization have become increasingly popular in recent years, giving viewers more autonomy in data exploration. In this course, we will learn techniques for effective data visualization and use these criteria to evaluate visualizations (both static and interactive) in academic publications and in the news. This class will meet about 8 hours per week for lecture and discussion. In addition to participating in class discussions, students will be expected to keep a daily journal, complete short R programming exercises, and create a final project using interactive data visualization tools such as R Shiny.
The Class: Format: lecture
Limit: 15
Grading: pass/fail only
Requirements/Evaluation: class participation, daily journal, final project and presentation
Prerequisites: some experience in R programming
Enrollment Preferences: preference will be given based on a one-paragraph explanation of the student's interest in the course

Class Grid

Course Catalog Archive Search

TERM/YEAR
TEACHING MODE
SUBJECT
DIVISION



DISTRIBUTION



ENROLLMENT LIMIT
COURSE TYPE
Start Time
End Time
Day(s)