18 Matching Annotations
  1. Jan 2023
    1. I grew to absolutely love two platforms I have been using *every day* since Christmas. Under a tight deadline.

      Konstantinos Antonopoulos is an expert in Data Visualization, I came across this article after looking at a sample of his work using Tumult Hype. The sample can be found here

  2. Sep 2021
  3. May 2021
    1. he plot shows the averagehierarchical power of individuals, grouped by income percentile. The average capitalistfraction of income is indicated by color.

      Average over what ? If it is averaged over income rank, what does the graph's width represent ?

  4. Apr 2021
  5. Feb 2021
  6. Jan 2021
  7. Dec 2020
  8. Jun 2019
  9. Mar 2018
      • R/(gg)plots visualise => linguists detect interesting phenomena to analyse further
      • Wang2Vec: train backprogagation network
  10. Aug 2017
  11. Jun 2017
    1. The Phillips curve is a single-equation empirical model, named after William Phillips, describing a historical inverse relationship between rates of unemployment and corresponding rates of inflation that result within an economy. Stated simply, decreased unemployment, (i.e., increased levels of employment) in an economy will correlate with higher rates of inflation.

      the chart Phillips used to demonstrate this effect was one of the first examples of drawing a timeline through a scatter plot of 2 variables. Another example (featured in Alberto Cairo's The Functional Art): https://static01.nyt.com/images/2010/05/02/business/02metrics/02metrics-popup-v3.jpg

    1. “He who loves practice without theory is like the sailor who boards ship without a rudder and compass and never knows where he may cast.”

      Need for practical training and theoretical grounding in data visualization.

  12. Apr 2017
    1. Use d3-annotation with built-in annotation types, or extend it to make custom annotations. It is made for d3-v4 in SVG.

      data annotation from Susie Lu at Netflix

  13. Jul 2016
    1. The visualisation may look like data, but it is a snapshot of how I am connected, it is my rhizomatic digital landscape. For me it reinforces the fact that digital is people.

      Really nice way to end the article.

      I love Data = People :)

    2. Everyone should acquire the skills to understand data, and analytics.