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Folder: data-visualisation/📝-Notes

46 items under this folder.

Nov 18, 2023
Add some clarity to bring out the patterns in the data
Nov 18, 2023
Anomaly
Nov 18, 2023
Average
Nov 18, 2023
Bimodal distribution
Nov 18, 2023
Categorical variable
Nov 18, 2023
Context is crucial
Nov 18, 2023
Continuous variable
Nov 18, 2023
Countable
Nov 18, 2023
Data Types
Nov 18, 2023
Dependent Variable
Nov 18, 2023
Extreme Value
Nov 18, 2023
FT - The science behind good charts
Nov 18, 2023
Financial Times - 3 Visual Encoding Experiments
Nov 18, 2023
Financial Times
- #organisation
Nov 18, 2023
Gestalt Principles
Nov 18, 2023
Give some reasonable explanation about why the change you are suggesting is a good reasonable change
Nov 18, 2023
How Charts Work
- #book
Nov 18, 2023
How to show multiple totals and their components in a single image
Nov 18, 2023
Independent Variable
Nov 18, 2023
Individual
Nov 18, 2023
It is hard to compare multiple pie charts
Nov 18, 2023
Learn to read unfamiliar charts
Nov 18, 2023
Likert scale
Nov 18, 2023
Median
Nov 18, 2023
Ordinal
Nov 18, 2023
Origin-destination matrix
Nov 18, 2023
Probability
Nov 18, 2023
Ratio
Nov 18, 2023
Readability
Nov 18, 2023
Recognise that classes on a choropleth map function like the 'bin' in a histogram
Nov 18, 2023
Simson's Paradox
Nov 18, 2023
Skew
Nov 18, 2023
Some simple rules for pies and donuts to prevent chart disasters
Nov 18, 2023
The simplicity of simple charts is also their constraint
Nov 18, 2023
There is no chart that will be a default solution for everything
Nov 18, 2023
Uncertainty
Nov 18, 2023
Use Part to whole relationship - to show component elements is a single entity
Nov 18, 2023
Visual Encoding
Nov 18, 2023
conflict of units
Nov 18, 2023
prevalence
Nov 18, 2023
relative
Nov 18, 2023
space efficient
Nov 18, 2023
¶ All About Colour - Colour Science
Nov 18, 2023
¶ Designing for charts
Nov 18, 2023
¶ Scales of justice - Axes for evils
Nov 18, 2023
¶ The best charts are well written