In this assignment you will analyze a time series dataset with a descriptive exploration and providing a short- and mid-term forecast. The task involves both a descriptive analysis of time series components and forecasting using predictive models.

For the descriptive analysis, apply ARIMA to break down the components of the time series, such as trend, seasonality, and noise. The analysis should include clear visualizations of these components and a discussion of their significance to the dataset.

In the forecasting section, implement at least two predictive models (e.g., ARIMA, Prophet, or LSTMs) to generate short- and mid-term forecasts. Present and compare these models through visualizations of the forecasts, and include a performance evaluation of each model.

The final deliverable is a report that contains two sections: one for the descriptive analysis and one for forecasting. Each section should provide clear visualizations and thorough explanations of the methods and findings.

The data looks like:

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