COMPASS Workshops

Computing for Data Analysis in the Social Sciences

OVERVIEW

The COMPASS Workshops are a series of free, open-source statistical programming and data science workshops held weekly during the academic year at Princeton University. Supported by the Department of Sociology, Department of Politics, and the Office of the President, the workshops focus on using R with RStudio in a variety of real-world applications relevant to social scientists. Topics covered include data wrangling, data visualization, Monte Carlo simulations, linear regression, social network analysis, and text mining.

The COMPASS Workshops are held on Tuesdays from 7:00 to 8:30pm at Green Hall Room 1-C-4C (Friend 101 on February 13) at Princeton University during the academic year. The workshops are open to all students, staff, and affiliates of Princeton as well as the larger research community. To fully participate in the workshops attendees should bring a laptop.

To find out more about the workshops, join the COMPASS Workshops mailing list by sending an email to listserv@lists.princeton.edu with "Subscribe COMPASSWORKSHOPS" in the body and all other lines blank including the subject.

SPRING 2018 SCHEDULE

February 13 Introduction to R and RStudio [Friend 101] (Ethan) Slides Data Code
February 20 Data Wrangling in R [Green Hall Room 1-C-4C] (Yunkyu) Slides Data Code
February 27 Base R Graphics (Yunkyu)
March 6 Hypothesis Testing (Ethan)
March 27 Programming Loops in R (Ethan)
April 3 Regression Analysis in R (Yunkyu)
April 10 Data Visualization with ggplot2 (Ethan)
April 17 Probability and Simulations in R (Yunkyu)

FALL 2017 SCHEDULE

September 21 Introduction to R and RStudio (Ethan) Slides Data Code
September 28 Data Wrangling in R (Yunkyu) Slides Data Code
October 5 Base R Graphics (Yunkyu) Slides Data Code
October 12 Programming Loops in R (Ethan) Slides Data Code
October 19 Regression Analysis in R (Yunkyu) Slides Data Code
October 26 Probability and Simulations in R (Yunkyu) Slides Code
November 9 Monte Carlo Simulations in R (Yunkyu) Slides Data Code
November 16 Hypothesis Testing (Ethan) Slides Data Code
November 30 Text Mining in R (Ethan) Slides Data Code
December 7 Data Visualization with ggplot2 (Ethan) Slides Data Code

SPRING 2017 SCHEDULE

February 15 Introduction to R and RStudio (Yunkyu) Slides Data 1 Code Data 2
February 22 Data Wrangling in R (Yunkyu) Slides Data Code
March 1 Basic Graphics with ggplot2 (Ethan) Slides Data Code
March 8 Intermediate Graphics with ggplot2 (Ethan) Slides Data Code
March 29 Hypothesis Testing in R (Ethan) Slides Data Code
April 12 Probability and Simulations in R (Yunkyu) Slides Code
April 19 Text Analysis in R (Ethan) Slides Data Code
April 26 Regression Analysis in R (Yunkyu) Slides Data Code

FALL 2016 SCHEDULE

September 20 Introduction to R and RStudio (Ethan) Slides Data Code
September 27 Data Wrangling in R (Yunkyu) Slides Code
October 4 Base R Graphics (Yunkyu) Slides Code
October 11 Data Visualization in R with ggplot2 (Ethan) Slides Data Code
October 18 Programming Loops in R (Ethan) Slides Data Code
November 8 Probability and Simulations in R (Yunkyu) Slides Code
November 15 Monte Carlo Simulations in R (Yunkyu) Slides Data Code
November 29 Text Analysis in R (Ethan) Slides Data Code
December 6 Hypothesis Testing in R (Ethan) Slides Data Code
December 13 Regression Analysis in R (Yunkyu) Slides Data Code

PEOPLE

Teaching Staff
The workshops are taught by Ethan Fosse (Research Associate, Department of Sociology) and Yunkyu Sohn (Research Associate, Department of Politics).

Faculty Sponsors
The workshops are sponsored by Margaret Frye (Assistant Professor, Department of Sociology), Kosuke Imai (Professor, Department of Politics), and Matthew Salganik (Professor, Department of Sociology).