Research Workshop Series

LATIS offers a series of workshops created by our experts that are free and open to all faculty and graduate students. Join our LATIS Research Workshops Google Group to be the first to learn about workshops.

 

Data Wrangling in R

Friday, Sept. 29, 2017 I  9:30 a.m. – 12 p.m. I Hanson Hall 1-108 I Register

Often the most difficult part of analyzing data is getting it into the right format for your analysis. This workshop will introduce participants to the dplyr and tidyr packages designed for data manipulation in R. Participants will learn how to subset rows and columns of a dataset, order columns, group and summarize data, and basic reshaping from "long" to "wide" format data. Some familiarity with social science data and R is assumed. Please bring a computer to with R (https://cran.r-project.org/) and RStudio (https://www.rstudio.com/products/rstudio/download/) installed.



Intro to Linux

Friday, Oct. 6, 2017 I  9:30 a.m. – 12 p.m. I  50b Humphrey I Register

UNIX/Linux is a robust family of operating systems that has become the de facto standard in researching computing. The goal of this workshop will be to provide newcomers with a general overview of the Linux environment and the Bash shell, an introduction to frequently used commands and tools, as well as a brief introduction on accessing high-performance computing resources at the University and beyond. No prior experience with Linux is required.



Ggplot

Friday, Oct. 13, 2017 I  9:30 a.m. – 12 p.m. I  50b Humphrey I Register


R is a powerful tool for statistical computing, but its base capabilities for graphics can be limited, and complicated plots often require a considerable amount of code. Ggplot2 is a popular package that extends R’s capability for data visualization, allowing users to produce attractive and complex graphics in a relatively simple way. This workshop will introduce the logic behind ggplot2 and give users hands-on experience creating data visualizations using this package. This session will also discuss data formatting requirements for ggplot2, as well related tools creating interactive graphics from this syntax (such as plotly, https://plot.ly/feed/). While basic familiarity with R will be helpful, no prior experience with ggplot2 is required.


At the end of this workshop, participants should:

1. Understand the basics of the "grammar of graphics" underlying ggplot2's functionality

2. Be able to create a variety of reproducible data visualizations in R, such as histograms, line charts, scatter plots, heatmaps, and density plots

3. Know multiple ways to visualize data by groups, including color labeling and faceting


The morning workshop will cover the basics of ggplot2, the afternoon workshop will pick up where the morning workshop left off, and will involve a hands on activity to apply/stretch your ggplot2 skills, specifically in the areas of customizing the look of a graph.


Ggplot 2, pt. 2

Friday, Oct. 13, 2017 I 1:30 – 3:30 p.m. I  50b Humphrey I Register


The workshop will cover the basics of ggplot2 with the afternoon workshop picking up where the morning workshop left off, and will involve a hands on activity to apply/stretch your ggplot2 skills, specifically in the areas of customizing the look of a graph.



Atlas ti

Friday, Oct 20, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register


Atlas.TI is a long-standing qualitative analysis program, used to organize, tag, and analyze a variety of research materials including text, audio, and visual sources. This workshop will give an introduction to the major functions and uses of this research tool including: source material organization, codes and coding strategies, querying your materials, grouping and stored queries or super codes, backing up and sharing your project, and working collaboratively. (No prior experience with Atlas.TI is necessary.)



Qual Data Collection

Friday, Oct 27, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register


There are many ways to gather qualitative data from people and textual sources and a host of tools to make the process easier. This workshop will focus on the strategies, techniques, and useful tools for qualitative data collection, ranging from archival work to ethnography, interviews and other types of field work. For instance, we’ll look at using mobile devices like phones and tablets and relevant apps (OneNote, annotation, scanning, Atlas.ti, etc), cover strategies for photographing text for computer legibility, and discuss data security and protecting your research participants.



Intro to Research Computing

Friday, Nov. 3, 2017 I 9:30 a.m. – 12 p.m. I  50b Humphrey I Register


This workshop provides participants with an overview of the methods, software, and hardware resources that are frequently used in research computing. The primary goals are to help participants determine what types of tools might be useful in their research or instruction, and to provide a primer on tools common in most workflows (e.g., Git, Jupyter notebooks, and PBS). The workshop will be part lecture, part open discussion, and part hands-on, practice so please bring your laptop.



Data from the Web

Friday, Nov. 10, 2017 I 9:30 a.m. – 12 p.m. I  Hanson Hall 1-108 I Register


The internet is full of information waiting for exploration - from social media, to newspaper comments, to digitized archives. How do you begin gathering this kind of data? This workshop will introduce participants to browser-based tools for web-scraping (including GetThemAll and Scraper) and Facepager, a tool for gathering information from Twitter, Facebook, and other social media sites. No experience with these tools is necessary, and participants do not need to have any coding skills.



Qual for Transparency

Friday, Nov. 17, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register


This workshop will focus on the key stages of a qualitative research workflow and discuss strategies for improving your documentation of the analysis process. Good documentation practices will assist in both drafting final manuscripts as well as in meeting journal transparency/reproducibility standards. We’ll discuss both tools and techniques for memoing, defining concepts, creating codebooks, and clarifying analytical decisions.



Workflow in Python

Friday, Dec. 1, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register


The goal of this workshop is to introduce Python as a tool for creating effective research workflows in the social sciences. Topics covered include automating data acquisition, acquiring and storing data from the web, as well as early-stage exploratory data analysis and consuming data in Python. Knowledge of the topics covered in this workshop is not assumed, though it is expected participants have some knowledge of basic Python concepts and syntax.




Markdown/LaTeX

Friday, Dec. 8, 2017 I 9:30 a.m. – 12 p.m. I 50b Humphrey I Register


Attendees will learn how to create aesthetically pleasing documents for publication on the web or in print. The workshop focuses on two popular markup languages, Markdown and LaTeX, as well the similarities, differences, and pain points associated with each. Participants will also learn how Markdown and LaTeX can be integrated into reproducible reports using R.