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Types of Data
1. Continous Data
2. Discrete Data
  - Discrete Numerical (Quantitative)
  - Discrete Categories (Qualitative)
Aesthetics

Position, shape, size, color, ...
Scales

A one-to-one mapping between data and aesthetics.
Coordinate sytem.

The combination of a set of position scales and their relative geometric arrangement.
1. Cartesian co-ordinate system.
2. Polar co-ordinate system.
Color Scales

Usage:
1. Distinguish data from each other (Categorical color scales)
2. To represent data values (Sequential i.e. Single Hue and Multi Hue, Diverging color scales)
3. To highlight (Accent color scales)
Types of visualizations
- 1. Horizontal and vertical Bar plots.
  2. Grouped & Stacked bar plots.
  3. Dot plots and Heat Maps.
  1. Single distributions
    - Histograms - they depend on the chosen bin width
    - Density plots - tend to be quite reliable and informative for large datasets but can be misleading for datasets of only a few points. They depend on chosen kernel and bandwidth.

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Types of Data

Aesthetics

Scales

Coordinate sytem.

Color Scales

Types of visualizations

Visualizing amounts.

Visualizing distributions

Single distributions