Sparkling Data Set we have been assigned the task of analysing and forecasting the wine sales in the 20th century. For the purpose data of different types of wine sales from the same company but of different wines is available. Brief steps to be performed to forecast the sales 1.Load and Explore Time Series Data 2.Data Visualization 3.Checking stationarity of Time Se ries- making it stationery 4.Forecasting a time series Step 1.Load and Explore Time Series Data Data set is well read and loaded in python