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README.md

Interactive Data Visualization (ECL MOS 5.5)

Romain Vuillemot, LIRIS, École Centrale de Lyon/Département Math-Info, Website, Twitter.

Contact or questions: romain.vuillemot@ec-lyon.fr

Reading

Interactive Data Visualization for the Web
by Scott Murray

Other books

Grading

  • 30% Final exam
  • 60% Final projects
  • 10% Homeworks/Submitted assignments (pass/fail policy)
  • 10% Bonus (class participation, best homeworks/assignments)

Submissions

All homeworks/assignements/reports are due the day before the class at 23.59pm Lyon Time (GMT+1). Using this form.


Lecture 1 - Introduction to Data Visualization

Friday 11/01/2019 13:30-15:30

  • Overview: Class organization (slides)
  • Basics of Data Visualization: Perception, cognition, Visual mapping, Standard charts (slides)
  • Authoring visualizations: Libraries, Tools, Tableau Software (slides)

Tutorial 1 - Tableau Software

Friday 11/01/2019 15:45-17:45

Tableau Tutorial

  1. The goal is to have a first experience with Tableau and build standard charts using a simple dataset.
  2. Download and install Tableau Public (Free) on your machine
  3. (Simple) alternative to Tableau: Polestar

Iris flowers visualization

  1. Download the iris.csv and load it in Tableau; convert data types (if needed)
  2. Plot a scatterplot with X:sepal_length, Y:sepal_width, color:species and a trend line
  3. Save as a tab and save the workbook

Elections map

  1. Download the us-elections-history.csv and load it in Tableau; convert data types (if needed)
  2. Plot a grid plot with Year as columns, State as rows and State Winner as color/marks.
  3. Save as a tab
  4. Plot a geo-map with colors winning party in 2012 Latitude (generated) et Longitude (generated), with State as shapes and color ATTR([State Winner])
  5. Save as a tab and save the workbook

Stock markets visualizations

  1. Download the stocks.csv and load it in Tableau; convert data types (if needed)
  2. Plot a multiple line chart over time, for all stocks in a different color, grouped by company
  3. Plot a grouped bar chart (companies as categories, grouped by year or by companies)
  4. Your own chart!
  5. Save as a tab and save the workbook

Global Superstore Dataset

  1. Download the Global-Superstore-Orders-2016.xlsx and load it in Tableau; join datasets (if needed)
  2. Find an interesting story / selection with this dataset
  3. Create a Dashboard and explain your story/finding
  4. BONUS: Add storytelling (Tableau Feature)
  5. BONUS: Join other datasets (e.g. People, ..)

📅 For next class (20/01)

✍ Assignments

  • Submit your Tableau workbook on Global Superstore dataset
  • Propose a project topic (2-page): what is the question you want to answer? which data do you need? how do you plan to collect your data? what are the main risk in collecting/visualizing it? what are the privacy/ethical issues?
  • Create a GitHub account and learn how to use it (bottom of the page)

📖 Readings

Lecture 2 - Introduction to D3.js

Friday 18/01/2019 13:30-15:30

Tutorial 2: D3.js

Friday 18/01/2019 15:45-17:45

Lecture 3 - Advanced D3.js and Design Methods

Friday 25/01/2019 13:30-15:30

Tutorial 3: Design Methods & more D3.js

Friday 25/01/2019 15:45-17:45

Lecture 4 - Advanced Design Method and Reseach in DataViz

Friday 01/02/2019 13:30-15:30

Tutorial (1/2): Advanced layouts in D3.js

Friday 01/02/2019 15:45-17:45

Tutorial (2/2): Advanced layouts in D3.js

Friday 08/02/2019 13:30-15:30

Projects (1/5)

Friday 08/02/2019 15:45-17:45

Projects (2/5)

Friday 15/02/2019 13:30-15:30

Projects (3/5)

Friday 15/02/2019 15:45-17:45

Projects (autonomie)

Friday 01/03/2019 13:30-15:30

Projects (autonomie)

Friday 01/03/2019 15:45-17:45

Projects (4/5): Final projects presentations & demos

Friday 08/03/2019 13:30-15:30

Projects (5/5): Final projects presentations & demos

Friday 08/03/2019 15:45-17:45

Exam

TBD

Online resources

Tableau

D3.js

SVG

Git/GitHub

JavaScript

Data Visualization Classes

Blogs

Graphics/Journals

Misc