# Data Types and Scales

- We have seen earlier discussion about numeric being one of data types
- It can represent number of population, or some kind of measurement
- Statistician call it as quantitative data

- It can differentiate type of groups
- Can't be manipulated, computed, take into calculation, just as character.
- There's also ordinal data, that can be based on ranking or an order.

- Similar as numerical data. But it was some linear increasing with the data
- There's different about when the data are being collected

- We use numerical data as y-axis and categorical data at x-axis. In this, we sorting (x being ordinal) and rank it so it can be easier to to visualize

- There's also short trend if we want it days-axis, or much longer trends then represent it as month/years axis

- This is inapropriate use of scales
- The increasing is random and not linear/logaritmic
- The increasing to pile of people (3d -> 4th) only 3k increasing

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