Sessions

Information Design 2026 @ NID Bangalore

Data Visualization & Narrative

Summary & Overview

• Summary Notes — Summary Board: Figma Jam
• Exercise Submissions — Exercise Board: Figma Jam
• Working Docs — Submissions: Google Sheet
• Feedback – Peer Learning: Google Sheet

Meet Session

For Screen Sharing IXD 25 Classroom: meet.google.com/uig-vwjd-nfc

Accounts & Application

• Github Account: Create an account on github.com

Download and install these three applicatoin

• Visual Studio Code: code.visualstudio.com
• Github Desktop: github.com/apps/desktop
• Simple Web Server: simplewebserver.org

Submissions

• Three Exercises
  • Scope: Create three visualisation in A4 size on three topics – Food, XYZ & ABC
  • Intent: To get repetition on the overall process, visualisation design and shared in the class for peer learning.
• Book Sketchnote
  • Scope: Read a book on data visualisation and create a sketchnote
  • Intent: To synthesize the data visulisation on a topic)and create a visual summary of the book.
• Critique and Remake
  • Scope: Find an article on data visualisation (narrative style) and both remake it and critique it
  • Intent: To practice critical thinking and understand the intent and purpose behind the design of the visualisation. And learn from the remake process to build fluency in data visualisatio tools.
• Mini Project
  • Scope: Create Longform Narrative Vizualisations on any topic of your choice
  • Intent: To apply all the skills across a longer project and learn via peer critique.

Resources

Guides

• Amit Kapoor: Data Visualisation Resources — A long-list of articles, talks, slide decks, and mini-websites related to data visualisations
• Financial Times: Visual Vocabulary - A overview guide to the different types of basic visualisation, categorized by tasks
• Distill: Communicating with Interactive Articles — An article on the intent and development of interactive articles, with a focus on data driven communication.

Articles & References

• Visualizing Thought — Show how visual communication works and how the design of them as a diagram helps create meaning.
• Chakradhar: Composing with Visual Devices - A look at fundamental principles of visual composition`
• Franconeri et al.: The Science of Visual Data Communication: What Works — A comprehensive review of how cognitive science and visual perception principles can be applied to design more effective, accurate, and memorable data visualizations
• Koponen & Hilden: The Data Visualization Handbook — The first chapter available online is a short and example rich introduction to intent and purpose behind data visualisation.
• Jonathan Schwabish: An Economist’s Guide to Visualizing Data — The journal article provides good examples and practical guidelines of how to create great, effective visualisation for the academic audience.

Videos

• Data Visualisation Resources — amitkaps.com/data-visualisation-resources
• Alberto Cairo: Open Visualisation Academy — A new & free video oriented knowledge base about information design, data visualisation and data literacy