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Introduction to Data Visualization in Python

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When & Where
Date: 
Fri, May 15, 2020 - 9:00 AM to 12:00 PM
Location: 
Remote (Zoom link below)
Description
Type: 
Workshop
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
 
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 questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu
 
Overview
 

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).

Link: 
Link to Feedback Form
Keyword: 
Software Tools, Python, Quantitative Analysis, Visualization
Primary Tool: 
Python
Details
Training Learner Level: 
Beginner
Training Host: 
D-Lab
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet connection, Zoom account
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