Difference between revisions of "Data Visualization"

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(just making outline, need to figure out where to put this page, and start making examples)
 
m (adding to data acquisition page)
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* Requires some programming experience
 
* Requires some programming experience
 
* Slightly harder to import data than excel
 
* Slightly harder to import data than excel
 +
[[Data Acquisition]]

Revision as of 15:08, 17 May 2022

Outline

  • Basic points
  • Graphs
    • Excel
    • Matlab
    • R/Mathematica/Python
    • Other third party data
    • Tableau?
  • Tables
  • CAE/CFD
  • 4D Data
  • Other
    • Circle things on pictures

Basic Points

  • Show what is hard to tell
  • Easy to read
  • Obvious point
  • Print vs Digital
    • Print is smaller, colors come out worse, lines not as crisp
    • If in journal... expect no colors, extremely small

Graphs

  • most common form of data visualization
  • Pls no grid lines if possible
    • Tick marks
    • Colors
    • Leader lines
  • Pls no legend
    • Direct Labels
    • Leader lines
  • Lines not pencil thin
  • Scatter plots most common
    • Considered bad form to use lines to connect discrete data points
    • Use trendline sparingly, only when r2 or slope is point of the graph

Excel

  • Easiest to input raw data
  • Extremely easy to make it not look like dookie
  • Excel likes to make text grey, fine on computer, bad in print
  • Default blue is hard to read in print, also kinda ugly color
  • Not good at showing 3d data, forget 4d
    • Can be done with some creativity or plug ins
  • Google Sheets not as powerful, can look fancier

First steps

  • Get rid of grid lines
  • Set axes properly
  • (Recommended) Change color from default blue to black

Matlab

  • Requires some programming experience
  • Slightly harder to import data than excel

Data Acquisition