1  Data Type: Specify the type of input data. Currently, this analysis is only available for continuous data. Since only one option is available, this textbox has been turned off.  
2  X Axis:
Specify the type of Xaxis you would like for the time series analysis. The available options are:
 
3a  Time Series Plot: Select this checkbox to create a time series plot of your data. The data is plotted in an index with the first data point at 1, the second at 2, and so on...  
3b  ACF: Create an autocorrelation plot of the data. Autocorrelation measures the internal correlation within a time series and varies between 1 and +1. At a lag of 0, the autocorrelation value is always 1.  
3c  Periodogram: Create a periodogram of the data. The periodogram of the data shows the frequency plot. This plot explains how the power or variance in a series is distributed according to the frequency. This plot can be used to detect the periodicity present in the data.  
3d  PCF: Create a partial autocorrelation plot of the data.  
3e  Moving Average:
Clicking on this checkbox will create a moving average smoothing of your data. The moving average is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. Specify the length to calculate the moving average. For example, if the length is 3, then the first moving average is obtained by averaging the first 3 data points, the second moving average is obtained by averaging the 2nd, 3rd, and 4th data points, and so on...  
3f  Exp Moving Average:
Clicking on this checkbox will create an exponential moving average smoothing of your data. The exponential moving average places greater weight and significance on the most recent data points. The current value of the moving average is calculated as a constant (alpha) times the current value plus (1alpha) times the previous value of the moving average. Since alpha is less than 1, the weights keep dropping exponentially as you go back in time. Specify the value of alpha to use for the exponential moving average. A larger alpha value gives more importance to the most recent points and drops off the older data points much faster from the averaging.  
4  Model Selection:
Specify the metric to use for the selection of the best model. The available options are:
 
5  Help Button: Click on this button to open the help file for this topic.  
6  Cancel Button: Click on this button to cancel all changes to the settings and exit this dialog box.  
7  OK Button: Click on this button to save all changes and compute the outputs for this analysis. 
1  Search Data: The available data displays all the columns of data that are available for analysis. You can use the search bar to filter this list and speed up finding the right data for analysis. Enter a few characters in the search field, and the software will filter and display the filtered data in the Available Data box.  
2  Available Data: The available data box contains the list of data available for analysis. If your workbook has no data in tabular format, this box will display "No Data Found." The information displayed in this box includes the row number, whether the data is Numeric (N) or Text (T), and the name of the column variable. Note that the software displays data from all the tables in the current workbook. Even though data within the same table have unique column names, columns across different tables can have similar names. Hence, it is crucial that you not only specify the column name but also the table name.  
3  Add or View Data: Click on this button to add more data to your workbook for analysis or to view more details about the data listed in the available data box. When you click on this button, it opens the Data Editor dialog box, where you can import more data into your workbook. You can also switch from the list view to a table view to see the individual data values for each column.  
4  Required Data: The code for the required data specifies what data can be specified for that box. An example code is N: 24. If the code starts with an N, you must select only numeric columns. If the code begins with a T, you can select numeric and text columns. The numbers to the right of the colon specify the minmax values. For example, if the minmax values are 24, you must select a minimum of 2 columns of data and a maximum of 4 columns in this box. If the minimum value is 0, then no data is required to be specified for this box.  
5  Select Button: Click on this button to select the data for analysis. Any data you choose for the analysis is moved to the right. To select a column, click on the columns in the Available Databox to highlight them and then click on the Select Button. A second method to choose the data is to doubleclick on the columns in the list of Available Data. Finally, you can drag and drop the columns you are interested in by holding down the select columns using your left mouse key and dragging and dropping them in one of the boxes on the right.  
6  Selected Data:
The list box header will be displayed in black if the right number of data columns is specified. If sufficient data has not been specified, then the list box header will be displayed in red color. Note that you can doubleclick on any of the columns in this box to remove them from the box. The data you specify for this analysis depends on the options in the Setup tab.
 
7  View Selection: Click on this button to view the data you have specified for this analysis. The data can be viewed in a tabular format or a graphical summary. 
1a  None: If you select the None radio button, no transformation is made to your data. 
1b  Subset:
You can use this option to generate a subset of the existing data. This can reduce the total number of data points in your data set. For example, you can sample every 2nd point and save it as another data set. This will reduce your data size by half. Similarly, you can sample every 3rd point and save it to another data set. This will reduce your data size by a factor of a third and so on. This textbox specifies the number of data points for creating the subset of the data. 
1c  Differences:
You can use this option to make a difference with a lag for the given data set. If you select this radio button, we can compute the differences and store the resultant data in another data set. For example, you can make a difference with a lag of 1 so that the data that is stored is Y(2)  Y(1), Y(3)  Y(2), Y(4)  Y(3), etc. Differencing can help stabilize the mean of a time series by removing changes in the level, eliminating or reducing trend and seasonality.
Specify the lag that should be used for the differencing operation. A lag of 2 implies the third data point is subtracted from the first data point, and so on... 
1d  Logarithm: You can use this option to take a logarithm of the original data set and save the values to a new one. The purpose of taking the logarithm of a time series is to stabilize the variance of a series. 
2  Transform Button: Click on the Transform button to perform the requested transformation for the given data. 
1  Generate Checkbox: Click and select the Generate Forecasts checkbox to generate forecasts.  
2  Num Forecasts: Specify the number of forecasts to generate. These forecasts will be generated at the end of the time series.  
3  Forecast Model:
Specify the type of model to use to generate the forecasts. The available options are:
 
4  Model Type:
Specify the type of model to use to generate the forecasts. For a trend model, the available options are:
If you are using a seasonal model or HoltWinter model, the following options are available:

1  Title: The system will automatically pick a title for your chart. However, if you want to override that with your title, you can specify a title for your chart here. Note that this input is optional. 
2  Sub Title: The system will automatically pick a subtitle for your chart. However, if you want to override that with your subtitle, specify a subtitle for your chart here. Note that this input is optional. 
3  X Label: The system will automatically pick a label for the xaxis. However, if you would like to override that with your label for the xaxis, you can specify a different label here. Note that this input is optional. 
4  Y Label: The system will automatically pick a label for the yaxis. However, if you would like to override that with your label for the yaxis, you can specify a different label here. Note that this input is optional. 
5  X Axis: The system will automatically pick a scale for the xaxis. However, if you would like to override that with your values for the xaxis, you can specify them here. The format for this input is to determine the minimum, increment, and maximum values separated by a semicolon. For example, if you specify 10;20, the minimum xaxis scale is set at 10, and the maximum xaxis scale is set at 20. If you specify 10;2;20, then, in addition to minimum and maximum values, the xaxis increment is set at 2. Note that this input is optional. 
6  Y Axis: The system will automatically pick a scale for the yaxis. However, if you would like to override that with your values for the yaxis, you can specify them here. The format for this input is to determine the minimum, increment, and maximum values separated by a semicolon. For example, if you specify 10;20, the minimum yaxis scale is set at 10, and the maximum yaxis is set at 20. If you specify 10;2;20, then, in addition to minimum and maximum values, the yaxis increment is set at 2. Note that this input is optional. 
7  Horizontal Lines: You can specify the values here if you want to add a few extra horizontal reference lines on top of your chart. The format for this input is numeric values separated by semicolon. For example, if you specify 12;15, two horizontal lines are plotted at Y = 12 and Y = 15, respectively. Note that this input is optional. 
8  Vertical Lines: You can specify the values here if you want to add a few extra vertical reference lines on top of your chart. The format for this input is numeric values separated by semicolon. For example, if you specify 2;5, two vertical lines are plotted at X = 2 and X = 5, respectively. Note that this input is optional. 
1  Item: The lefthand side shows the major tabs and the items checked within each section 
2  Status: The righthand side shows the status of the checks. 
3  Overall Status: The overall status of all the checks for the given analysis is shown here. The overall status check shows a green thumpsup sign if everything is okay and a red thumpsdown sign if any checks have not passed. Note that you cannot proceed with generating analysis results for some analyses if the overall status is not okay. 
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