Question

Can you code an Autocorrelation plot using Python or R?

Answer 1

Yes, I can code an Autocorrelation plot using Python. Here’s a simple example:

import pandas as pd

import matplotlib.pyplot as plt

from statsmodels.graphics.tsaplots import plot_acf

# Load data

data = pd.read_csv('dataset.csv')

# Compute autocorrelation

plot_acf(data['column_name'])

# Show the plot

plt.show()

In this script, we first import necessary libraries: pandas for data handling, matplotlib for plotting, and statsmodels for computing autocorrelation. We then load our dataset using pandas’ read_csv function. The ‘plot_acf’ function from statsmodels is used to compute and plot the autocorrelation of a specified column in our dataset. Finally, we display the plot with plt.show().