Location: Remote via Zoom. Link will be sent on the morning of the event.
Date & Time: This workshop runs from 1pm-4pm on Thursday, June 2.
Description
For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.
The following plot types will be covered:
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Line
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Bar
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Scatter
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Boxplot
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 Fundamental 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.
Feedback: After completing the workshop, please provide us feedback using this form
Registration & Logistics
Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, California Research Bureau (CRB), or CZ Biohub, please register via our partner portals here.
Recordings: This D-Lab workshop will be recorded. 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.
Questions? Email: dlab-frontdesk@berkeley.edu