# Quartiles

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It splits the data into quarters.
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**Steps to transform data into quartiles:**

1. Sort the numbers. 
2. Cut the list into quarters. 
3. Start to Q1, Q2, Q3 to end. 

**The Quartiles also divide the data into divisions of 25%, so:**

* Quartile 1 (Q1) can be called the **25th percentile**
* Quartile 2 (Q2) can be called the **50th percentile**
* Quartile 3 (Q3) can be called the **75th percentile**

### Ranges

The range of data is the difference between the maximum and the minimum element in the dataset. The **interquartile range** is the difference between the **first** and **third** quartile.