Research

In this workshop, you will learn how to use Docker to build a basic, interactive app in Plotly and R.

You will learn how to

• Launch a Docker environment

• Run an app in that environment

In this workshop, you will learn how to build a basic data visualization app using Python.

Basic knowledge of Python and HTML is required. You will be introduced to the Plotly framework for producing interactive data visualizations, and Dash, their package for producing these as lightweight applications that can easily be shared as code or simply as flat HTML pages.

This short course will introduce students to text analysis with an emphasis on learning the technological basics of Python and Jupyter Notebook. After discussing why to learn text mining and text analysis methods, we will explore how to use Python to analyze word frequencies. We will use Constellate to access our dataset.

Drowning in data? Not sure how to organize and back it up? This hands-on, interactive workshop will share tips for effectively organizing, documenting and storing research data. Participants will walk away with ideas for completing a data management plan, naming and organizing files, and safely storing data. 

All the primary computing systems & services offered by the Center for Research Computing (CRC) are available to researchers who are working from off campus.

In fact, "remote" access workflows are often the same as best practices for using our resources.

Get a schematic overview, along with some practical examples of how to use the following in concert with one another to multiply your computing power:

Learn how to create lightweight, interactive data visualization apps for medium-sized datasets. This will be useful for introducing students and researchers to basic exploratory data analysis. We will begin with a basic introduction to data frames in Python and R using a basic dataset; then we will see how to render that data as an interactive dashboard in Python and R; finally, we will deploy see what deploying your app to a free public web server in Heroku looks like!

U.S. Census Bureau conducts surveys on demographic, economic and population data. In this class, we will introduce Census Data Products; learn how to access Decennial Census of Population and Housing and American Community Survey using Census API. We will also anlyze the data with Python Pandas library. 

Excel is a popular and Powerful tool for data storage and analysis. The openpyxl module allows Python to read and modify Excel files, automate your boring tasks and increase your work efficiency. In this workshop, you will learn:

• How to import Excel workbook
• Change sheet name
• Create / remove sheet 
• Change fonts
• Write values to certain cells
• Automate your boring tasks with code

• GitHub is an incredibly powerful tool for version control management - a must-know skill for developers, researchers, and anyone who uses a command line often in their work. Come learn about the basics of Git and GitHub, create a repository and use the RStudio GitHub integration to upload your work to GitHub. 

• GitHub is an incredibly powerful tool for version control management - a must-know skill for developers, researchers, and anyone who uses a command line often in their work. Come learn about the basics of Git and GitHub, create a repository and make your first pull request.
• Please download GitHub Desktop before the session: https://desktop.github.com.