Statistical Exploration of Climate Data
Author(s): Tamra Carpenter1, Jon Kettenring2, Robert Vanderbei3
1. DIMACS, Rutgers University 2. Research Institute for Scientists Emeriti, Drew University 3. Princeton University
1229 total view(s), 1195 download(s)
Summary:
In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
Contents:
- Fairbanks.dat.txt(TXT | 359 KB)
- getDIMACSdata.sh.txt(TXT | 1 KB)
- McGuireAFB.dat.txt(TXT | 377 KB)
- Module-Figures-for-Presentation.pdf(PDF | 860 KB)
- NewOrleans.dat.txt(TXT | 360 KB)
- Raleigh.dat.txt(TXT | 360 KB)
- weather-module-instructor-V1.pdf(PDF | 1 MB)
- weather-module-student-V1.pdf(PDF | 1 MB)
- Modules
- License terms
Supporting Docs
- Fairbanks.dat.txt(TXT | 359 KB)
- getDIMACSdata.sh.txt(TXT | 1 KB)
- McGuireAFB.dat.txt(TXT | 377 KB)
- Module-Figures-for-Presentation.pdf(PDF | 860 KB)
- NewOrleans.dat.txt(TXT | 360 KB)
- Raleigh.dat.txt(TXT | 360 KB)
- weather-module-instructor-V1.pdf(PDF | 1 MB)
- weather-module-student-V1.pdf(PDF | 1 MB)
- Modules