Today, I conducted research and performed several tests on the ACLED dataset. After transforming the data into a monthly format and calculating the number of events per month, I applied the Augmented Dickey–Fuller (ADF) test to determine whether the time series was stationary. I then decomposed the data into trend, seasonality, and residual components. The decomposition revealed a noticeable downward trend as well as clear seasonal patterns in the data.