Day 93 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.

Data Viz Created:
Moving more into this phase as I’ve hit the halfway mark without making too many outside of work.  I’ve hit a point as well that I am well past the phase of just doing tutorials and reading and need to be applying.  Also, the datasets I work with at work are quite discrete and for a singular purpose.  Meanwhile, I’m learning all this cool stuff and need to JFDI it to make and practice.
Today as part of the Knight D3 Class, which I am woefully behind on – I created .
Steps:
1) Downloaded player stats from NYCFC’s website for this season.  (I’m a fan)
2) Cleaned up the data by adding full names of the stats for understanding and other minor clean-up.
3) Did a scatterplot from mostly scratch, which is a big difference from the complex code at work to strengthen very weak fundamentals.
Got some problems with axis and look and feel I need to revisit in the AM.  Probably just missing something minor since it’s getting late.
Screen Shot 2015-11-16 at 10.12.49 PM.png
Code Learning:

Treehouse Back-to-Basics (again, not taking notes for basic review):

Going through Front-End WebDev

D3 Tree Tutorial

Three Takeaways:

  • They’re for hierarchal relationships as opposed to flat relationships
  • Made up of three aspects
    -labels -> text objects
    -circles
    -lines (paths)
  • Diagonal is a path generator that expects a source object (startpoint) and target object (endpoint)

 

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