Open Source Data Visualization

• Assignment 4: Open Source Data Visualization

Today’s Lesson: Different graphs & Math

• Discussing the progress
• Math Lesson
• (Python: map, reduce, filter)
• Overview of graphs (see Literature)
• Homework: pick the best graph for your data

Further reading

• Introducing d3.express (Closed beta of interactive tool, inspired by Bret Victor)
• D3, a Javascript library for visualizing data
• Vega-Lite, a “visualization grammar”

Previous Lessons: Drawing a Graph

• Drawing Graphs Lesson
• Extra tools: DataManipulation (Flatten – Filter – Compare – Merge)

Scraping Tips

• Scraping Tips & Tricks

Other scraping examples and lessons:

• Scrape Disney’s box office from Wikipedia using Element Tree – Python Web Scraper Repo (low level)
• Scrape list of cities from Wikipedia using BeautifulSoup – Extended Scraping Lesson with Steps and Notes
  • python files and scraping results – Scraping Lecture Folder
• Scrape all Github commit messages using the github python API – API Lesson and code
• Scrape Disney’s box office from Wikipedia using lxml with XPath – XPath Lesson (high level)

Previous Lessons

• Image Processing Lesson
• XPath Lesson
• Regex Notes
• Regex in python