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Part of the time series analysis process includes having to clean or transform the data. For this assignment, you will be using SAS Studio Forecasting
Part of the time series analysis process includes having to clean or transform the data. For this assignment, you will be using SAS Studio Forecasting tasks to prepare and explore the Retail dataset, which is a builtin dataset containing observations on variables. Step : Review the Web resources video tutorial to familiarize yourself with the time series features in SAS Studio. Step : In SAS Studio, use the Time Series Data Preparation proc timedata task to transform the Retail dataset under the SASHELP Library. Set your Simple Difference to Show output data, and name your output dataset DiffRetail. Run your program. Step In SAS Studio, use the Time Series Exploration proc timeseries task using the DiffRetail dataset created in Step Your dependent variable will be SALES and your independent variable will be DATE. Take the rest of the defaults and run the program. Step In a slide presentation, paste your code, logs and output from Steps and into your presentation. Briefly discuss each step and outcome.
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