Standard deviation chart is a good tool to explore your data and gain insights about outliers in your data. The standard deviations show how far a data point is away from the mean (average) and allows you to create segway's for further analysis.
To create this chart you would need the following steps.
Step 1: Create your view and format your Axis's
![](https://www.thedataschool.co.uk/content/images/2022/09/image-200.png)
![](https://www.thedataschool.co.uk/content/images/2022/09/image-202.png)
Step 2: Calculate the mean of your data
![](https://www.thedataschool.co.uk/content/images/2022/09/image-204.png)
Step 3: Create your Standard deviation calculation
![](https://www.thedataschool.co.uk/content/images/2022/09/image-206.png)
Step 4: Create a parameter to make your standard deviation dynamic
![](https://www.thedataschool.co.uk/content/images/2022/09/image-209.png)
Step 5: Create Upper and lowe bounds
![](https://www.thedataschool.co.uk/content/images/2022/09/image-213.png)
![](https://www.thedataschool.co.uk/content/images/2022/09/image-215.png)
Step 6: Create your outside of bounds calculation to highlight outliers
![](https://www.thedataschool.co.uk/content/images/2022/09/image-217.png)
Step 7: add your calculations to your tooltips as need and add reference bands to view.
( the most important one to keep in your tooltips or on detail is your upper and lower bounds to reference at a later point)
![](https://www.thedataschool.co.uk/content/images/2022/09/image-220.png)
then
![](https://www.thedataschool.co.uk/content/images/2022/09/image-221.png)
& add average lines
![](https://www.thedataschool.co.uk/content/images/2022/09/image-222.png)
Step 8: add outside bounds calculation to colour
![](https://www.thedataschool.co.uk/content/images/2022/09/image-224.png)
we see a few points that fall outside our standard deviation which would then spark further exploration.