Part 1 Exploratory Analysis for Time Series Dataset
Part 2 Resample Daily Data to Monthly Data
Part 3 Curve Fitting and Rolling Mean
Part 4 Decomposition of Time Series
Part 5 ADF Test and ACF/PACF For Residuals
Part 6 ADF Test and ACF/PACF For Coffee_Price_Month
Part 7 ARIMA Model for Coffee Price Month
About the dataset:
Coffee Coffee is a brewed drink prepared from roasted coffee beans, the seeds of berries from certain flowering plants in the Coffea genus. From the coffee fruit, the seeds are separated to produce a stable, raw product: unroasted green coffee. The seeds are then roasted, a process which transforms them into a consumable product: roasted coffee, which is ground into fine particles that are typically steeped in hot water before being filtered out, producing a cup of coffee
Datasource:https://www.kaggle.com/datasets/psycon/daily-coffee-price