The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
552
|
|
Type:
|
Invited
|
|
Date/Time:
|
Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistical Graphics
|
| Abstract - #300168 |
|
Title:
|
Using Graphics to Teach Statistics
|
|
Author(s):
|
Hadley Wickham*+
|
|
Companies:
|
Rice University
|
|
Address:
|
, , 77004, USA
|
|
Keywords:
|
teaching ;
visualisation ;
r
|
|
Abstract:
|
Visualisation is a powerful tool for revealing patterns in data, for communicating results, and for enticing students to study statistics. In this talk I'll discuss my experiences teaching a mixed class of graduates and undergraduates visualisation tools for exploring large datasets. Most students come in with little programming experience and little practical data analysis (although they may have had a great deal of theoretical training, which is not necessarily a help), but by the end of the class are experienced data analysts, having tackled 3-4 projects exploring datasets of at least 10,000 observations. I'll discuss why I think visualisation is such a great tool for data analysis, why using R isn't as intimidating as you might think, and how to grade data analysis projects to support the important skills of curiosity and scepticism.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.