The data science team at an ecommerce company is working on a training dataset for a forecasting model. The dataset represents the sales data for the last 5 years and has the following features : item description, item price, order date, quantity ordered, shipping address, order amount. The team would like to uncover any cyclical sales patterns such as hourly, daily, weekly, monthly, yearly from this data. As an ML Specialist, which of the following solutions would you recommend?