A box plot is a great way to get a visual sense of an entire range of data. It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.
Box plots divides data into its quartiles. The “box” shows a user the data set between the first and third quartiles.
The median gets drawn somewhere inside the box and then you see the most extreme non-outliers to finish the plot. Those lines are known as the “whiskers”. If there are any outliers then those can be plotted as well.
With box plots you can answer how diverse or uniform your data might be. You can identify what is normal and what is extreme. Box plots help give a shape to your data that is broad without sacrificing the ability to look at any piece and ask more questions.
It displays the five-number summary of a set of data. The five-number summary is:
- minimum
- first quartile (Q1)
- median
- third quartile (Q3)
- maximum
Read more about Box Plots here.
Observation:
- The above plot shows the increase in the quality of wine with an increase in alcohol. The quality of the wine is directly related to the amount of alcohol in the wine. More the alcohol in the wine, the better will be the quality.
- Also, the points lying outside the whiskers(the lines extending from the rectangular box) are the outliers.