solve in 2 hour thanks

The monthly stock prices of company B from November 2017 to October 2022 are saved in the text file "StockPriceB_Raw.csv". You are assigned by your consultancy firm to analyse the data and to forecast the prices in the next 12 months. (a) Choose an appropriate column of the dataset and use Excel to prepare it as a univariate time series for smoothing and forecasting in 10 steps or less. Report your data preparation steps (in less than 400 words) along with relevant in-text screenshots (maximum height: 7cm. Use "Format Graphic" function to regulate the size of your graphs) to illustrate the process. (b) Examine the prepared time series from (a) on the following aspects: (i) Descriptive statistics such as mean, variance, autocorrelation, etc. (ii) Graphical exploration (e.g., line plots, histograms, etc.) (iii) Time series decomposition plots Discuss your data exploration tasks (in less than 400 words) along with in-text screenshots (maximum height: 7cm. Use "Format Graphic" function to regulate the size of your graphs) to illustrate the process. Provide the SAS code of your data exploration as well. Note that the SAS code is excluded from the word count