Thu, Sep 26, 2024

10:30 AM – 12:30 PM EDT (GMT-4)

Private Location (sign in to display)

15
Registered

Registration

Details

This workshop provides an introduction to data visualization in Python. The training focuses on three plotting packages: Matplotlib, Seaborn, and if time allows, Plotly. Examples may include simple static 1D plots, 2D contour maps, heat maps, violin plots, and box plots. The session may also touch on more advanced interactive plots.

Learning objectives: Attendees will be exposed to different plotting packages in Python, along with how to integrate them with NumPy and Pandas. After the session, participants will know the basic mechanics of how to generate publication-quality plots using Python.

Session format: Presentation, demo and hands-on

Knowledge prerequisites: Participants should have reasonable facility with the Python programming language, including a basic familiarity with NumPy arrays and Pandas data frames. No previous experience with Python plotting tools is required.

Hardware/software prerequisites: Participants must bring a laptop with a web browser installed.

Speakers

Carolina Roe-Raymond's profile photo

Carolina Roe-Raymond

Visualization Analyst

Princeton University

Carolina Roe-Raymond is a Visualization Analyst in Research Computing at Princeton University. As a Visualization Analyst, Carolina helps Princeton faculty, staff, and students explore and communicate their data through graphs, charts, and other visuals. Prior to her current position, Carolina created static and interactive data visualization applications for academic research groups. Carolina has a Ph.D. in Resource Ecology and Management, where she used visualizations created in R and GIS programs to advance research in urban bee ecology.

 

Hosted By

Research Computing | View More Events

Carolina S. Roe-Raymond
Co-hosted with: GradFUTURES

Contact the organizers