Auto-Correlation Function

Name: Auto-Correlation Function

Description: This function performs Auto-Correlation Function (ACF) analysis on the specified time series columns of the dataframe to measure the correlation between a variable and its past values (lags). ACF helps identify repeating patterns, trends, and seasonality in the data, making it valuable for time series forecasting and analysis

Input: Dataframe - The latest version of uploaded data

Output: Dataframe - Link to the saved Dataframe which is modified as per the function and Summary of the actions performed

Mandatory and Non-mandatory/Advanced hyperparameters required for the function are listed below

Mandatory	Non-mandatory/Advanced hyperparameters
	columns
	max_lag
	Save As New Table

Details of Hyperparameters are provided below

Name	Description	Accepted range/ values	Display Name
Columns	Column to perform ACF on	Columns in the Dataframe	Columns to select
max_lag	Maximum number of lags to compute the ACF	Integer	Maximum lag value
Save As New Table	Option to choose whether the dataframe is to be saved as a new table	-