Course Content

# Learning Statistics with Python

2. Mean, Median and Mode with Python

4. Covariance vs Correlation

Learning Statistics with Python

## Types of Data

We've developed some skills; now, let's delve deeper into the data types in statistics. Take a look at the image:

Let's now consider a sample of people with two variables:

- number of teeth;
- height.

The **number of teeth** is considered a discrete variable because teeth are counted in **whole numbers**, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, **countable** number of teeth, and the count is a distinct and separate value.

In contrast, **height** is considered a continuous variable because it can take on **any** value within a certain range, and there is an **infinite** number of values in the interval between any two values of heights.

Everything was clear?