Decision Mechanics

Insight. Applied.

  • Services
    • Decision analysis
    • Big data analysis
    • Software development
  • Articles
  • Blog
  • Privacy
  • Hire us

What Nathan Yau uses to visualize data

March 8, 2016 By editor

Nathan Yau of FlowingData has published an up-to-date list of what he uses to turn raw data into his impressive visualizations.

What’s always striking about the tools he uses is that there’s no “quick fix”. He utilizes a range of industry standard data manipulation (e.g. R) and graphic design (e.g. Adobe Illustrator) tools in his work.

I particularly liked his comments on processing and formatting data

Assuming I have the data I want (big assumption), this is a stage of tedium. Solutions typically reflect my state of I-want-this-to-be-done-already, and I use whatever tool is closest. I would use a hammer if I could.

Print Friendly, PDF & Email

Share this:

  • Email
  • Twitter
  • LinkedIn
  • Facebook

Filed Under: Data analysis, Data science Tagged With: tools, visualization

Search

Subscribe to blog via e-mail

Subscribe via RSS

Recent posts

  • Accuracy vs precision
  • It’s not because we have insufficient data…
  • Large Language Models
  • Spreadsheet disasters
  • 10 ways to mislead with data visualization

Copyright © 2023 · Decision Mechanics Limited · info@decisionmechanics.com