Exercise

# Autocorrelation in time series data

In the field of time series analysis, autocorrelation refers to the correlation of a time series with a lagged version of itself. For example, an autocorrelation of `order 3`

returns the correlation between a time series and its own values lagged by 3 time points.

It is common to use the autocorrelation (ACF) plot, also known as self-autocorrelation, to visualize the autocorrelation of a time-series. The `plot_acf()`

function in the `statsmodels`

library can be used to measure and plot the autocorrelation of a time series.

Instructions

**100 XP**

- Import
`tsaplots`

from`statsmodels.graphics`

. - Use the
`plot_acf()`

function from`tsaplots`

to plot the autocorrelation of the`'co2'`

column in`co2_levels`

. - Specify a maximum lag of 24.