REGISTRATION NOTES
After clicking the registration link for your desired workshop, be sure to use your @berkeley.edu or @lbl.gov email address in the Zoom registration box to ensure a seamless process. Additionally, when joining the workshop, participants need to be logged in with their institutional email address in Zoom to be granted admission. You may need to log out and log back in.
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.
Date & Time: This workshop is a 2-part series running from 9am-11am each day:
• Part 1: Wed, November 13
• Part 2: Fri, November 15
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.
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:
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Histogram
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Barplot
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Boxplot
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Scatterplot
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Lineplot
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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-Pilot
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