REGISTRATION NOTES
Click register and then use your @berkeley.edu or @lbl.gov email address.
If you have trouble, you may need to log out of Zoom and log back in.
For help, read more here: https://dlab.berkeley.edu/zoom-troubleshooting-tips
Location: Remote via Zoom.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Date & Time: This workshop is a 2-part series running from 10am-12pm each day:
- Part 1: Tue, April 1
- Part 2: Thu, April 3
Description
This workshop provides an introduction to visualization with Python. We will cover visualization principles and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook and documentation of each plotting package. We’ll also learn about styles and customizing plots. Throughout the workshop, we’ll discuss the plot types best suited for particular kinds of data.
The following plot types will be covered:
-
Histogram
-
Barplot
-
Boxplot
-
Scatterplot
-
Lineplot
-
Subplot
We'll also learn about styles and customizing plots. Throughout the workshop, we'll discuss the plot types best suited for particular kinds of data.
Prerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge.
Workshop Materials: https://github.com/dlab-berkeley/Python-Data-Visualization
Software Requirements: Installation Instructions for Python Anaconda
Is Python not working on your laptop? Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.
Questions? Email: dlab-frontdesk@berkeley.edu