Firstly what is a box plot?
- A boxplot is a graph that gives you a good indication of how the values in the data are spread out.
- It is split up into: the minimum, the first quartile, median, the third quartile and the maximum
When to use a Box Plot:
- Finding out more information the the central tendency
- Allows you to see how the values in the data are spread out
- Shows shape of distribution (skewed, variance)
- Useful for individual variables or variables in groups
- Useful for identify outliers
So here's how to make a box plot:
(scroll down to find data set)
1. Drag 'Casualty Class' onto columns
2. Drag 'No__of_Casualties' onto rows
3. Drop 'Borough' onto details
4. Change the shape to 'circle' and reduce the size
![](https://www.thedataschool.co.uk/content/images/2022/09/image-194.png)
4. Select 'Analytics' then under the 'Custom' section select 'box plot' on top of 'cell' then click 'OK'
![](https://www.thedataschool.co.uk/content/images/2022/09/image-196.png)
5. Drop 'Casualty Class' onto 'Color'
6. To add extra details onto your points feel free to change the opacity and add a border to each point under the color section
![](https://www.thedataschool.co.uk/content/images/2022/09/image-201.png)
7. Finished! Here is your completed box plot graph!
![](https://www.thedataschool.co.uk/content/images/2022/09/image-203.png)
I can certainly see how beneficial using box plots are and will be using them more often in the future!