Unpacking volatility
We have seen how we can make use of moving averages to smooth data, but what happens if we want to identify anomalous pricing trends in our data?
In this exercise we’ll make use of the WINDOW_STDEV()
function to help us identify when our time series data is exhibiting variance we should take a deeper look at.
If you lost progress, load the workbook 3_4_rolling_stdev.twbx
from the Workbooks folder on the Desktop
This exercise is part of the course
Time Series Analysis in Tableau
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
