Analyze & Visualize Data

Jump to Analyze & Visualize Resources

At this stage of a research project, you are likely starting to dig into the data to find meaning. This step often includes manipulating the data into tables, writing programs for statistical analysis or other meaningful summaries of data, and visualizing data in plots or other forms. Many of the resources listed in this section will help support you in learning how to use a programming language and other computing resources. For this lifecycle stage there are a few broadly useful resources at UW-Madison such as the Data Science Hub, the Center for High-throughput Computing, and DoIT’s Research Cyberinfastructure group that can help with a variety of questions and then many other resources that address more specific needs.

Featured Resources

Data Science Hub

The Data Science Hub empowers researchers to design and tackle data-rich projects through consultations, training, and community engagement. The Hub offers many different workshops to help you get started with your data analysis and visualization including workshops on organizing your data to make it more computer and human readable, using programming languages like R and python, using version control with git and GitHub (see Publish Research Artifacts section to learn more), and querying a database with SQL. For help with other needs, the Hub offers individual consultations by appointment as well as walk-in office hours and coding meet-up each week. Sign up for the Hub’s bi-weekly Data Science newsletter to get regular updates about research computing and data science trainings, events, and opportunities both on campus and off.

CHTC

The Center for High Throughput Computing (CHTC) supports a variety of scalable computing resources and services for UW-affiliated researchers and their collaborators. Standard access to CHTC resources are provided to all UW-Madison researchers, free of charge. CHTC is particularly useful for you if you find that your analyses or visualizations no longer run (or take a long time to run) on the computers or servers available to you.

Research Cyberinfrastructure

DoIT’s Research Cyberinfrastructure group supports several data storage and computing resources that researchers may need. These include Electronic Lab Notebooks, Research Drive, a data science platform for research, and several cloud computing services.

SSCC

The Social Science Computing Cooperative (SSCC) supports researchers at UW-Madison who use statistical analysis in their work. They provide a complete research computing environment focused on statistics plus the expert help you need to use it. Some of their resources include statistical consulting, training workshops, windows and linux server access, and secure storage. SSCC training is free and their other resources are available to co-op members or for a fee.

TRAD

The Teaching & Research Application Development (TRAD) service partners with instructors, researchers, and campus staff to conceptualize, design, and implement innovative custom software solutions and library applications. Contact them to discuss services, timelines and cost estimates.