Day 175 of 180 Days of Data Viz Learning #jfdi

I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

Eljiah Meeks D3.js in Action

Chapter 4 General Charting Principles 

Three Takeways Today

  • D3 line interpolation methods draw the lines so they can more accurately represent data.  p 129
    • eg
    • tweetLine.interpolate(“basis”);
    • retweetLine.interpolate(“step”);
    • favLine.interpolate(“cardinal”);
  • Interpolation manipulates the representation of data.  Because data viz deals with visualizing statistical data, interpolation can misuse statistics because it can smooth out a “clunky-looking line” into a smooth, “natural” line.  p 129
  • Streamgraphs is a stacked chart that represents variation and change.  “The layers accrete upon each other and adjust the area of the elements above and below, based on the space taken up by the components closer to the center.  It appears organic because that accretive nature mimics the way many organisms grow, and seems to imply the kinds of emergent properties that govern the growth and decay of organisms.” p 131

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s