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Making a Time Series Graph Using Excel 2013 Using Categorical Time Labels To demonstrate the procedure, we will use the end of the month stock prices in dollars for General Motors for 2014, accessed
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Start by gathering the required data for your time series analysis.
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Organize the data in a tabular format, with time stamps as the column headers and the corresponding values in each row.
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Clean the data by removing any missing or erroneous values.
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Choose a suitable time series model depending on the nature of your data and the purpose of the analysis.
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Split the data into training and testing sets to evaluate the performance of your time series model.
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Validate the model by comparing its predictions with the actual values from the testing data.
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Make any necessary adjustments to the model parameters or choose a different model if the performance is not satisfactory.
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Once you are satisfied with the model's performance, use it to make future predictions based on new data points.
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Monitor and evaluate the accuracy of the predictions over time, and refine the model if necessary.

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