The Center for Social Science Computation and Research

Workshops Descriptions

CSSCR Short Workshops for Winter Quarter 2023

Introduction to R using R Studio

Description: This workshop will teach you how to get started with R using the free integrated development environment called RStudio. The workshop will cover the basic organization of R and RStudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.

  • Instructor: Anwesha Pan, CSSCR Consultant
  • Date: Monday,  January 23, 2023
  • Time: 12:30pm – 1:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Qualitative Analysis using ATLAS.ti

Description:   This workshop provides a brief, practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing text documents, coding and annotating documents, and exploring relationships through analysis and query tools. The course assumes no familiarity with Atlas.ti

  • Instructor:  Baishakhi Basu, CSSCR Consultant
  • Date:  Wednesday, January 25, 2023
  • Time:  2:30pm -3:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Data Wrangling in R

Description:  This workshop will cover some of R’s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham’s excellent “tidyr” and “dplyr” packages. Attendees are assumed to have basic familiarity with R/RStudio.

  • Instructor:  Youngwon Kim, CSSCR Consultant
  • Date:  Monday,  January 30, 2023
  • Time:  1:30pm – 2:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Basic Graphics and Data Visualization in R

Description:   This CSSCR workshop introduces students to ways of producing effect graphs and visualization graphs in R.  Topics covered will include basic plotting functions (e.g. histograms, scatter plots), production of multi-panel graphs, and various means of exporting graphs to other presentation packages.  A basic user level of R / RStudio is assumed.

  • Instructor: Zhaowen Guo, CSSCR Consultant
  • Date: Tuesday, January 31, 2023
  • Time: 11:30am – 12:30pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Using Tableau

Description:   This is an introductory workshop demonstrating the use of Tableau for analyses and visualization of data. Emphasis will be on using Tableau for mapping/displaying geographic based data. No prior knowledge of Tableau is assumed.

  • Instructor:  Aya Masilela, CSSCR Consultant
  • Date:  Tuesday, January 31, 2023
  • TIme:  2:30pm – 3:30pm
  • Location:  Savery 117 (Big Lab)
  • Register here.

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Introduction to using R Markdown

Description: This workshop will teach you how to get started and incorporate analyses/results accomplished in R and “knit” your results/analyses with text into a final document via R Markdown. This class is ideal for users who have experience with R and are looking to document and package their analyses into final documents (e.g. class assignments, research papers).

  • Instructor:  Victoria Sass, CSSCR Consultant
  • Date:  Wednesday,  February 1, 2023
  • Time:  12:30pm – 1:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Text Analysis using R

Description:  This workshop will introduce the basics of text analysis in R using the tools from the “tidytext” package. Participants will learn how to manage and clean text data, perform sentiment analysis, and calculate descriptive statistics on a body of text.   Basic level of using R/RStudio is assumed.

  • Instructor:  Steve Karceski, CSSCR Consultant
  • Date:  Thursday, February 2, 2023
  • Time: 10:30am – 11:30am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Stata

Description:  This workshop is designed to introduce you to the basic Stata statistical package including reading in Stata datasets, basic data manipulation in Stata, and common statistical procedures.

  • Instructor:  Kovid Puria, CSSCR Consultant
  • Date:  Thursday,  February 2, 2023
  • Time:  2:30pm – 3:30pm
  • Location: Savery 117 (Big Lab)
  • Register here.