Syllabus
Schedule
Class
Jan 13: Getting Started
Jan 20: No Class - Inauguration
Jan 27: Centrality & Variability
Feb 03: Correlation
Feb 10: Visualizing Information
Feb 17: Amounts & Proportions
Feb 24: Comparisons
Mar 03: Trends
Mar 10: Cleaning Data
Mar 17: No Class - Spring Break
Mar 24: Polishing Charts
Mar 31: Maps
Apr 07: Interactive Charts
Apr 14: Shiny Apps
Apr 21: No Class - Team Meetings
Apr 28: Communicating Results
Readings
Jan 13: Centrality & Variability (Due 01/26)
Jan 27: Correlation (Due 02/02)
Feb 03: Visualizing Information (Due 02/09)
Feb 10: Amounts & Proportions (Due 02/16)
Feb 17: Comparisons (Due 02/23)
Feb 24: Trends (Due 03/02)
Mar 03: Cleaning Data (Due 03/09)
Mar 10: Polishing Charts (Due 03/23)
Mar 24: Maps (Due 03/30)
Mar 31: Interactive Charts (Due 04/06)
Apr 07: Shiny Apps (Due 04/13)
Apr 14: Communicating Results (Due 04/27)
Projects
Course Prerequisites (optional)
Mini Project 1 (Due 02/16)
Mini Project 2 (Due 03/09)
Mini Project 3 (Due 04/06)
Final Project
References
Example Analyses
Course Software
Getting Help
Finding Data
Visualizing Data
Programming in R
R Markdown
Other
Tools
Slack
RStudio Server
Schedule a meeting w/Prof. Helveston
Showcase
About
License
Contact
Source files
Programming in R
Programming in R
Last semester’s course website :)
Grolemund, Garrett. “Hands-On Programming with R” [
free online
], [
buy on amazon
]
Peng, Roger D. “R Programming for Data Science” [
online - pay what you want
]
Data Analysis in R
Grolemund, Garrett and Wickham, Hadley. “R for Data Science” [
free online
], [
buy on amazon
]
Peng, Roger D. “Exploratory Data Analysis with R” [
online - pay what you want
]
16 HOWTO’s
, by Lingyun Zhang
RMarkdown
Andrew Heiss’s Markdown guide
60 second markdown guide
10 minute markdown tutorial
Markdown It
: Quickly demo Markdown code.
Table generator
: Create tables and get export code for multiple formats.
CMU RMarkdown guide (very detailed)
RStudio “Cheatsheets”
All cheatsheets
Data wrangling with the
dplyr
library
Data visualization with the
ggplot2
library
RMarkdown
EMSE 4575: Exploratory Data Analysis (Spring 2021)
Wednesdays |
12:45 - 3:15 PM |
Dr. John Paul Helveston
|
jph@gwu.edu
|
LICENSE: CC-BY-SA