Elevate your computing and data-related skills through workshop sessions on data processing, replication, and qualitative analysis.
Spring workshop sessions will cover topics such as replication, data processing, and qualitative analysis.
CCSS workshops are held in person at 291 Clark Hall and via Zoom and are open to the Cornell community. Get Directions.
Message socialsciences@cornell.edu for workshop-related questions.
Research Opportunities at the Cornell FSRDC | Feb 5 | 11:40am - 1:00pm
Description:
The Cornell Federal Statistical Research Data Center (FSRDC) provides access to confidential federal data from several agencies, including the U.S. Census Bureau. The Cornell FSRDC administrator, Nichole Szembrot, will give an overview of the available data and proposal process. This workshop is recommended for faculty and Ph.D. students.
Learning Objectives:
- Understand the advantages of working with confidential data compared to public-use data
- Become familiar with the data available through the Cornell FSRDC
- Understand the process of applying for access to confidential data
Pre requisites:
None
Helpful Information
Instructor: Nichole Szembrot
Web Scraping in R | Feb 20 | 1:00pm - 2:15pm
Description:
Web scraping is the process of extracting text and numeric data from a webpage using statistical software applications like R. Join this workshop to discover how R makes it easy to extract the data you need from a webpage and store it in a data frame for further analysis. We recommend attendees arrive with R (windows, mac) and RStudio installed on their laptops and a basic understanding of how to run R code and open programming files.
Learning Objectives:
- Identify and extract HTML data from a webpage with the inspect feature.
- Use R’s Rvest package to extract data and store it in a data frame.
- Demonstrate how R’s RSelenium package allows for advanced data extraction using website interactions such as mouse clicks, filling out forms, etc.
- Understand HTML format, including tags, attributes, etc.
- Distinguish between extracting data through web scraping vs APIs.
Pre requisites:
- Install R (windows, mac)
- Install RStudio
- Basics of R (Open R File, Run code in RStudio)
Helpful Information:
Web Scraping in Python | Mar 11 | 1:00pm - 2:15pm
Description:
Web scraping is the process of extracting text and numeric data from a webpage using software. Join this workshop to discover how Python, the most popular software for web scraping, makes it easy to extract the data you need from a webpage and store it in a data frame for further analysis. We recommend attendees arrive with a basic understanding of how to run Python code to visualize data.
Learning Objectives:
- Identify and extract HTML data from a webpage with the inspect feature.
- Use Python’s BeautifulSoup library to extract data and store it in a data frame.
- Demonstrate how Python’s Selenium package allows for advanced data extraction using website interactions such as mouse clicks, filling out forms, etc.
- Understand HTML format, including tags, attributes, etc.
- Distinguish between extracting data through web scraping vs APIs.
Pre requisites:
Python basics. (how to run code using Google Colab)
Helpful Information:
- Python Basics
- Python Google Colab. Allows users to run Python code without any setup required.
- Python web scraping packages (BeautifulSoup, Selenium)
- HTML tags, HTML attributes, HTML tags vs elements vs attributes, HTML attributes list
Instructor: Jacob Grippin
Creating Reports in RMarkdown and Quarto | Feb 6 | 1:00pm - 1:50pm
Description:
RMarkdown and Quarto are RStudio extensions that allow users to create dynamic and reproducible data analysis reports. Using RMarkdown and Quarto, you can organize your code, document your data analysis, visualize your data, write text, and publish reports, all within the same workspace. By eliminating the need to copy and paste code, data visualizations, and summary tables from multiple sources, RMarkdown and Quarto increase the likelihood of an error-free report. We recommend attendees arrive with R (windows, mac) and RStudio installed on their laptops. Prior R experience is not required.
Learning Objectives:
- Create a report in RMarkdown and Quarto that combines code, text, data visualizations, and summary tables
- Format reports to include titles, headers, bulleted lists, and italicized and bolded text
- Export reports as HTML, PDF, and Word documents
- Distinguish between RMarkdown and Quarto and discuss the benefits to each
Pre requisites:
- Install R (windows, mac)
- Install RStudio
Helpful Information:
Instructor: Jacob Grippin
Coding and Summarizing Qualitative Data with MaxQDA | Mar 12 | 12:00pm - 1:15pm
Description:
MaxQDA is a popular qualitative analysis software. This workshop covers importing qualitative data files into MaxQDA and using the software to identify themes and trends within text. It will also take participants through the steps of using MaxQDA’s AI features to summarize and explore their qualitative data materials. We recommend attendees arrive with MaxQDA installed on their laptops.
Learning Objectives:
- Explore the MaxQDA interface.
- Import qualitative files including interview transcripts, focus groups, and video and audio recordings into MaxQDA.
- Create and apply codes in MaxQDA to identify themes and trends.
- Generate reports for specific coded segments.
- Use MaxQDA’s AI Assist to summarize coded segments and documents, identify themes, and utilize suggested codes.
- Properly save and back up MaxQDA projects.
Pre requisites:
Make sure you have access to MaxQDA on your computer:
Install MaxQDA through the 14 day free trial before the start of the workshop to follow along and use during the session.
MaxQDA and other similar software are available for free through CCSS Cloud Computing Accounts. For extended software use, please request a CCSS Cloud Computing account by filling out this form.
Helpful Information:
Instructor: Florio Arguillas
Coding and Summarizing Qualitative Data with Atlas.ti | Apr 16 | 12:00pm - 1:15pm
Description:
Atlas.ti is a popular qualitative analysis software. This workshop covers importing qualitative data files into Atlas.ti and using the software to identify themes and trends within text. It will also take participants through the steps of using Atlas.ti’s AI features to summarize and explore their qualitative data materials. We recommend attendees arrive with Atlas.ti installed on their laptops.
Learning Objectives:
- Import qualitative files including interview transcripts, focus groups, and video and audio recordings into Atlas.ti.
- Create and apply codes in Atlas.ti to identify themes and trends.
- Use Atlas.ti’s AI features to summarize coded segments and documents, identify themes, and utilize suggested codes.
- Properly save Atlas.ti projects.
Pre requisites:
Make sure you have access to Atlas.ti on your computer:
Install Atlas.ti through the 5 day free trial before the start of the workshop to follow along and use during the session.
Atlas.ti and other similar software are available for free through CCSS Cloud Computing Accounts. For extended software use, please request a CCSS Cloud Computing account by filling out this form.
Helpful Information:
Instructor: Florio Arguillas