All examples By author By category About

jrodgz

JDR VI2 for CS725@ODU

##Name: Joel D. Rodriguez-Ortiz

##Tableau Charts

###Chart 1

vi2 image 1


###Chart 2

vi2 image 2


###Chart 3

vi2 image 3

##Insight gained from each of the 3 Tableau charts.

  1. Chart 1: The player with the most passing yards is Brandon Doughty.
  2. Chart 2: There is a strong correlation between passing yards and passing attempts. Players that try to pass the ball more, indeed do, tend to pass the ball more. (Except Brandon Doughty who doesn't seem to need to try as hard as Shane Carden :P.)
  3. Chart 3: The conference with the highest average interceptions is MWC.

##2 Comments about using Tableau.

  1. Tableau was exceedingly flexible in creating views. It allowed me to create visualizations much faster than I've been able to do with any other package (especially when you consider that I've used Tableau much less than any other package).
  2. Tableau's user interface was also surprisingly intuitive. I was able to drag and drop in a trial and error manner and with a little bit of hammering I was able to figure stuff out. It really helps that Tableau's idioms and vocabulary is the same we've been using in class.
  3. Tableau doesn't run in Ubuntu. I had to use my neighbor's computer with Windows on it.

##3 things learned while working through the D3 tutorial.

  1. In D3 things must be selected before they are interacted with, even if they don't exist! I mention this because my brain associated this as a D3 pattern because of this tutorial. D3's mantra seems to go along the lines mentioned below.
    • Select what you want.
    • Bring in the data.
    • Enter new elements.
    • Append new elements to the DOM.
    • Then, postprocess.
  2. In this tutorial I learned how to manipulate SVG elements, and how they seamlessly integrate with HTML. I had no clue this capability was built into modern browsers.
  3. One other new thing I learned while working through the tutorials was about GeoJSON. I've had to work on projects that manipulate geodetic data before. I'll certainly keep GeoJSON in mind if similar projects ever resurface.