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Data Visualization

Spring 2023

Feb 20, 2023

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Apr 14, 2023

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Data Visualization Welcome Zoom

Next Event

NEXT EVENT

Registration Deadlines

Feb 6, 2023

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All participants

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Category

Launch

Overview

Our materials touch on the following content to varying degrees:
• Plotting in Python: matplotlib, seaborn, plotly, and bokeh
• Web browser visualizations: HTML, CSS, SVG, and d3.js
• Basic Tableau
• Basic design principles

Slack

Click here to be invited to the slack organization: The Erdős Institute

Click here to access the slack cohort channel: #slack-cohort-channel

Click here to access the slack program channel: #slack-program-channel

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Click here to download the Events & Deadlines .ics calendar file

Organizers, Instructors, and Advisors

Objectives

The aim of this mini course is to teach you how to produce data visualizations in a variety of programming languages/softwares while also touching on fundamental design principles. By the end of this mini course you will produce a portfolio worthy data visualization.

First Steps/Prerequisites

Participants should have a base-level familiarity with Python. If you are new to Python, but would still like to participate you can review our existing Python Prep materials to get up to speed. It will also be helpful, but not necessary to have a basic understanding of probability and statistics. If you would like to review some statistics or probability should check out the slides at these links: 
First Steps

Program Content

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Course materials are available on github through the following link:

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Request Access to GitHub

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Program Content

Textbook/Notes

Note: our video player does not support playback speed options. You can find a third party browser extension which will allow you to modify video playback speed. For example, this one works for Chrome: video-speed-controller. If you would prefer to avoid a browser extension you can manually modify the playback speed in the javascript console as well: Speed up any HTML5 video player!

plt.pie

Python: matplotlib

Pie charts in matplotlib.

Slides
Code

Adjusting Non-Graphical Elements

Python: matplotlib

In our longest (sorry everyone!) matplotlib lecture we cover how to change the appearance of non-graphical plot elements.

Slides
Code

seaborn Introduction

Python: seaborn

An introduction to the seaborn package.

Slides
Code

relplots

Python: seaborn

How to make relational plots in seaborn.

Slides
Code

Patches

Python: matplotlib

All Rectangles may be Patches in matplotlib, but not all Patches are Rectangles.

Slides
Code

Saving a Figure to File

Python: matplotlib

How to save your Figures to a file so you don't lose them.

Slides
Code

Data for seaborn

Python: seaborn

What data structures does seaborn like? How can we take advantage of those structures?

Slides
Code

displots

Python: seaborn

How to make plots that look at empirical distributions in seaborn.

Slides
Code

plt.subplots

Python: matplotlib

Making Figures with subplots in matplotlib.

Slides
Code

matplotlib Next Steps

Python: matplotlib

So what now? Here we discuss some tips for how you could learn more matplotlib.

Slides
Code

Figure- vs. Axes-level Functions

Python: seaborn

The two levels of seaborn plotting functions.

Slides
Code

catplots

Python: seaborn

Making categorical plots in seaborn.

Slides
Code

Project/Homework Instructions

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Project/Team Formation
Project Submission

Schedule

Click on any date for more details

Orientation & Setup

Phase 1: Instruction and Project Completion

Project Review & Judging

Phase 2: Intense Interview Prep & Career Connections

Data Visualization Welcome Zoom

Feb 21, 2023 at 09:30 PM UTC

EVENT

Matt Osborne Fri Office Hour

Feb 24, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 3, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 10, 2023 at 04:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 17, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 24, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Mar 31, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Office Hour

Apr 11, 2023 at 07:30 PM UTC

EVENT

Matt Osborne Fri Office Hour

Apr 14, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Feb 22, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 1, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 8, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 15, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 22, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Mar 29, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Apr 5, 2023 at 08:00 PM UTC

EVENT

Matt Osborne Wed Office Hour

Apr 12, 2023 at 08:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Feb 22, 2023 at 10:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Mar 1, 2023 at 10:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Mar 8, 2023 at 10:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Mar 15, 2023 at 09:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Mar 22, 2023 at 09:00 PM UTC

EVENT

Problem Set Work Session (Optional)

Mar 29, 2023 at 09:00 PM UTC

EVENT

Matt Osborne Fri Office Hour

Apr 7, 2023 at 03:00 PM UTC

EVENT

Matt Osborne Office Hour

Apr 13, 2023 at 07:00 PM UTC

EVENT

Project/Homework Deadlines

Apr 11, 2023

03:59 AM UTC

Data Viz: Team Sign Up Due

Your team must sign up at the provided link by this date.

Apr 14, 2023

11:00 PM UTC

Data Viz: Final Project Due

Must submit your final project by this time in order to receive a certificate of completion.

©2017-2025 by The Erdős Institute.

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