Autocorrelation
For this exercise, you'll be using the traffic dataset. I've combined the columns for heavy and light vehicles into one "vehicle" column, since we've seen before that the two behave as one.
You'll first plot the data, and then visualize the autocorrelation, before answering some questions about the created plots.
The data is available as traffic.
This exercise is part of the course
Analyzing IoT Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot traffic dataset
traffic[:____].____()
# Show plot
____