It splits the data into quarters.

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


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.

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