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“The Power of Box Plots: A Simple Tool for Complex Data”

DataMantra
7 min readAug 18, 2024

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Unlocking the Secrets of Data Spread and Outliers

A box and whisker plot, also known simply as a box plot, is a graphical representation used to display the distribution of a dataset.

It provides a summary of the data based on five key summary statistics: the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum.

Here’s a breakdown of the components of a box plot:

What is Box:

  • The box represents the interquartile range (IQR), which is the range between the first quartile (Q1) and the third quartile (Q3). This middle 50% of the data is where the bulk of the values lie.
  • The bottom line of the box corresponds to the first quartile (Q1), and the top line of the box corresponds to the third quartile (Q3).
  • The line inside the box marks the median (Q2), which is the midpoint of the data.

What is Whiskers:

  • The whiskers extend from the edges of the box to the smallest and largest values within 1.5 times the IQR from Q1 and Q3, respectively.

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DataMantra
DataMantra

Written by DataMantra

DataMantra is an Edtech platform and founded by Tarun Sachdeva who is based out of Belgium and specialised in Tableau, SQL, ML, Python, Deep Learning & Gen AI.

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