Difference between revisions of "Data Visualization"
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SpookySimon (talk | contribs) (just making outline, need to figure out where to put this page, and start making examples) |
SpookySimon (talk | contribs) 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
Contents
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