/data-vis-workshop

Data Visualisation Workshop

Primary LanguageHTMLMIT LicenseMIT

Data Visualisation Workshop

Notes and Slides

In-Class Notebooks

Additional Resources:

Session Plan

Day 1

  • Workshop Introduction
  • Session #1: Value of Data Visualisation
  • Session #2: Tools & Abstractions for Data Visualisation
  • Session #3: Theory of Data Visualisation
  • Session #4: Guidelines for Better Data Visualisation
  • Day One Summary
  • Data-Story Group Exercise

Day 2

  • Recap & Questions
  • Data-Story Presentations
  • Session #5: Crafting Visual Stories with Data
  • Data-Story Rework
  • Session #6: Interactivity
  • Session #7: Explorable Vis for Business Users
  • Session #8: Putting together an Interactive Application
  • Overall Summary & Way Forward

Detailed session plan can be read at session.md

Setup & Installation

System Requirements:

  • You need a laptop for hands-on coding during the workshop, with the following minimum specifications:
    • 2 or more CPU Cores
    • 4GB or more RAM
    • 10 GB or more free disk space
    • Running Windows 7+, 64-bit macOS, or Linux

Step 1:

Step 2:

Step 3:

  • Once you have Anaconda installed (Step 1) and downloaded or cloned the repo (Step 3), you can use the following conda commands to install all the required packages.

Please note:

  • Do cd into the folder and then run these commands.
  • If you are on Windows, then please only use the Anaconda Prompt (and not command prompt)
conda env create --file vis.yaml
conda activate vis

python install_check.py
>>> All-Set! Packages installed.

Datasets

The list of datasets are available in the data folder and you can read about them at datasets.md