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.
Diese Übung ist Teil des Kurses
Analyzing IoT Data in Python
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Plot traffic dataset
traffic[:____].____()
# Show plot
____