Lecture Notes

Session 1

Intro to Data Visualization in Healthcare (John Snow's Map of Cholera)
Prototyping Process for Data Visualization Projects (From CLI to Webapp with Progressboard)
Focus on clarity of your message and amplify it with a clear visual
Outlook to a good example of solid data and focused visualization
Project Ideation

Session 2

Review of the progressboard example and its main functionalities as a web application
Revisiting the prototyping process in-depth
Intro to data acquisition and cleaning with Pandas and Numpy
Intro to Computational (Python, Numpy) and Statistical Data Types
Data Preparation for Visualization (e.g. Pivot Table for Heatmap)
Different forms of Visualization for different purposes
Introduction to the Visualization Analysis and Design Framework by Munzner

Session 3

Introduction to JavaScript vs. Python
Mentioned helper libraries like underscore.js
Breaking your Prototype apart into HTML, CSS, and Javascript

Session 4

Data Acquisition:
- Static vs. Dynamic
- Structuree vs. Unstructured
Web Scraping
Using APIs for Data Acquisition and Storage
Using Triple Stores with RDF and SPARQL

https://medium.com/swift-india/concurrency-parallelism-threads-processes-async-and-sync-related-39fd951bc61d https://developer.mozilla.org/en-US/docs/Web/HTTP https://stackoverflow.com/questions/17622439/how-to-use-github-api-token-in-python-for-requesting

Session 5

Session 6

Session 7