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
.
Este exercício faz parte do curso
Analyzing IoT Data in Python
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Plot traffic dataset
traffic[:____].____()
# Show plot
____