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When & Where
Date: 
Tue, April 14, 2020 - 9:00 AM to 12:00 PM
Location: 
Remote (Zoom information forthcoming)
Description
Type: 

To obtain the Zoom link for this workshop please: Click here for Zoom link

After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.

If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.

If you have question or problems with Zoom, please email: dlab-frontdesk@berkeley.edu

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 (formerly IPython) notebook. The following plot types will be covered:

  • line
  • bar
  • scatter
  • 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.

Basic familiarity with the Python programming language is assumed. New to Python? Consider attending D-Lab's Python Fundamentals series.

Be sure to install Python before the workshop starts - this can take up to an hour to complete (link below).

Primary Tool: 
Python
Details
Training Learner Level: 
Basic Competency
Training Host: 
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet Connection, Zoom account
Log in to register for this training.