AA 1Time Series Project Questions and Answers(2022/2023)

Time Series Project 1. Imported the series in two ways, each row has an associated date. This is in fact not a column, but instead a time index for value. As an index, we see single value of wine sales across times. While uploading in df_1 we have passed the argument of parse dates=true and squeeze=true, indicating the first column as dates and it needs to be parsed, through squeeze we indicating one column and a series. While df_2 is upload without any argument we are adding time stamp manually to the series and also dropping the YearMonth column available in the data set. This is primarily done when don’t parse the dates while uploading the series. Plotting the time series - While Sparkling wine sales are growing and the price of rose wine showing downward trend. We can also see some element of seasonality through the graph however a detailed report is given on trend and seasonality while decomposing the series.