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README.md

Visualization and Design: Fundamentals

  • CUNY Graduate Center | Summer 2018
  • Course Number DHUM 73000
  • Monday - Thursday 6:00 to 8:00 | 5/29 - 6/21 | Graduate Center, Room 7395
  • Taught by: Erin Daugherty (erin@datadozen.com) and Michelle McSweeney (mam2518@columbia.edu)
  • Office Hours: By Appointment

Description

As employers in every sector continue to search for candidates that can turn their data into actionable information, this course is designed to demystify data analysis by approaching it visually. Using Tableau Software, we will build a series of interactive visualizations that combine data and logic with storytelling and design. We will dive into cleaning and structuring unruly data sets, identifying which chart types work best for different types of data, and unpacking the tactics behind effective visual communication. With an eye towards critical evaluation of both data and method, projects and discussion will be geared towards humanities and social science research. Regardless of your academic concentration, you will walk away from this class with a portfolio of dynamic dashboards and a new interdisciplinary skill set ready to leverage in your academic and professional work.

Objectives

By the end of this class, you will be able to:

  • Build interactive data visualization dashboards that answer a clear and purposeful research question
  • Choose which chart type works best for different types of data
  • Iterate with fluidity in Tableau Software leveraging visualization, aesthetic, and user interface best practices
  • Structure thoughtful critiques and communicate technical questions and solutions
  • Leverage collaborative tools, including Tableau Public, Github, and repositories of public data sets
  • Contribute to the broader conversation about digital practices in academic research
  • Critically read a wide range of chart types with an eye for accuracy, audience, and effectiveness
  • Identify potential weaknesses in the collection methods and structure of underlying data sets
  • Locate the original source of a visualization and its data

Assignments

During this course, you will complete four assignments: 2 guided projects and a final portfolio accompanied by a white paper. We expect that you will turn in each project before you feel fully ready to do so. You will have the opportunity to submit revisions of the first two blog projects until you're satisfied with the outcome.

Blog Post 1

25% Final Grade | Guidelines

One visualization built with New York City's 311 data

Blog Post 2

25% Final Grade | Guidelines

One visualization with a quantified self data set you've created

Final Portfolio

40% Final Grade | Guidelines

A series of three visualizations answering an independent research question using a data set of your choice

White Paper

10% Final Grade | Guidelines

A 1,500-4,000 word final reflection on data, visualization, and iteration

Schedule

Because this is a Summer Session course, we will cover a lot of ground in just four weeks. Attendance is essential for understanding the material and doing well in the course. Each class period will be divided into two parts: a seminar and a hands-on practicum. The seminar will focus on a theoretical component underpinning data visualization, and the second half will be a hands-on tutorial in Tableau. By the end of this course, you will have developed a deep understanding of the context around data visualization and how to ethically engage in visual communication.


Week 1 | Introduction to Tableau and Github

Class Time

Date Seminar Reading Tableau Tutorial
Tuesday, May 29 Introductions, Goals, and Tech Set Up None Required. Suggested: Friendly, 2007 A Brief History of Data Visualization Creating Data, Connecting to Data, Bar Chart
Wednesday, May 30 Structuring Research Questions for Data Visualization Yau 2013 Chapter 1 Data Points Text Table, Map, Tooltips, Dashboard Design
Thursday, May 31 Principles of Data Visualization Yau 2013, Chapter 3 of Data Points Nussbaumer Knaflic 2015. Chapter 2, Storytelling With Data: Choosing and Effective Visual Exploring a New Data Set, Line Chart, Heatmap

Assignment Deadlines

Date Time Deadline Platform
Friday, June 1 6:00 PM Submit Proposal for Blog Post 1 Email
Sunday, June 3 Midnight Publish Blog Post 1 Tableau Public & Github

Week 2 | Data Integrity and Data Structures

Class Time

Date Seminar Reading Tableau Tutorial
Monday, June 4 Blog Post 1 Pin Up Viegas & Wattenberg 2015 Design and Redesign in Data Visualization Optional: Tufte 1997 The Decision to Launch the Space Shuttle Challenger in Visual and Statistical Thinking Data Structure
Tuesday, June 5 Explore Projects for Class: Dear Data 1 & Dear Data 2 Giorgia Lupi Dear Data TED Talk Gitelman, 2013 "Raw Data" Is An Oxymoron Data Joins
Wednesday, June 6 Personal Data Posner, 2016 What’s Next: The Radical, Unrealized Potential of Digital Humanities Suggested Lupi, 2017. Data Humanism Calculated Fields
Thursday, June 7 Manipulating Data Drucker 2015 Humanities Approach to Graphical Design Dashboard Design

Assignment Deadlines

Date Time Deadline Platform
Friday, June 8 6:00 PM Submit Proposal for Blog Post 2 Email
Sunday, June 10 Midnight Publish Blog Post 2 Tableau Public & Github

Week 3 | Advanced Chart Types

Class Time

Date Seminar Reading Tableau Tutorial
Monday, June 11 Blog Post 2 Pin Up Solnit, 2016 Nonstop Metropolis (2 pieces in Zotero Library) Quick Tips in Tableau
Tuesday, June 12 Distant Reading Schulz 2011 NYTimes Book Review of Graphs, Maps, and Trees & Moretti 2007 Graphs, Maps, and Trees Treemaps
Wednesday, June 13 Maps as Visualizations Knigge & Cope 2006 Grounded visualization: integrating the analysis of qualitative and quantitative data through grounded theory and visualization Dispersion Plots, Word Clouds
Thursday, June 14 Advanced Considerations Tufte - Chapter 2 - Graphical Integrity Bullet Graphs, Bump Chart, Donut Chart, Slope Charts

Assignment Deadlines

Date Time Deadline Platform
Friday, June 15 6:00 PM Submit Proposal for Final Portfolio Email
Sunday, June 17 Midnight Publish Draft of Final Portfolio Your Choice

Week 4 | Communicating with Data

Class Time

Date Seminar Reading Tableau Tutorial
Monday, June 18 Draft of Portfolio Pin Up McCandless TED Talk Presenting with Storypoints
Tuesday, June 19 OPTIONAL Tech Support / Open Lab n/a n/a
Wednesday, June 20 Storytelling Suggested Andrew Stanton TED Talk: The Clues to a Great Story Dashboard Makeovers
Thursday, June 21 Presentations of Final Portfolios n/a n/a

Assignment Deadlines

Date Time Deadline Platform
Sunday, June 24 Midnight Submit All Final Changes to Final Portfolio Your Choice
Sunday, June 24 Midnight Publish Your White Paper Github

Progress, Not Perfection

Finally, we want to clearly state that our goal for this course is to expose you to a broad range of technologies and techniques. The schedule above is intentionally designed to move faster than the typical class. We're striving for progress, not perfection. You will experiment with technologies that might feel overwhelming and you will turn in assignments before they feel done. This is how iterative, creative processes work. We're confident that by the end of this course, no matter how many confusing or frustrating moments you've navigated throughout, that you will look back at where you started four weeks ago and be impressed by the ground you've covered. We're here to help you get the most out of this course. Let us know how we can help you succeed!

Disability Services | Health & Wellness | Library | Ombuds | Policies & Procedures | Professional Development


Syllabus written by Erin Daugherty and Michelle McSweeney, for Visualization and Design: Fundamentals, a course in the M.A. in Digital Humanities at the Graduate Center at CUNY. More information about the program is available here.