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
.
Cet exercice fait partie du cours
Analyzing IoT Data in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Plot traffic dataset
traffic[:____].____()
# Show plot
____