---
title: Time Series Forecasting Model STATBEANS® | Time Series Visualization
description: See how the Time Series Forecasting Model STATBEAN® can plot a forecast for a time. Get the Statgraphics to aid in time series visualization and analysis.
---

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<https://www.statgraphics.com/statbeans/graphical/time_series_forecast_plot#anchor3>

# TimeSeriesForecastPlot Statbean®

**Purpose:** Plots forecast for a time series. Allows Statgraphics to create a time series forecasting model.

**Time Series Visualization DataSource: **TimeSeriesForecast. 

![forecastplot](https://www.statgraphics.com/hs-fs/hubfs/forecastplot.gif?width=450&name=forecastplot.gif)

**Time Series Visualization Read/Write Properties**

| **Name** | **Type** | **Description** | **Possible Values** | **Default Value** |
| --- | --- | --- | --- | --- |
| confidenceLimitsColor | Color | The color of the confidence limits. | Any valid Color. | Color.red |
| forecastColor | Color | The color of the forecasts. | Any valid Color. | Color.magenta |
| lastPeriodsToPlot | int | The number of data values to plot in addition to the forecasts. | 0+, or -1 for all | -1 |
| showConfidenceLimits | boolean | Whether to display confidence limits for the forecasts. | true,false | true |

Other properties for creating a time series forecasting model are inherited from the java.awt.Canvas class and from the general [GraphicalStatbean](http://www.statlets.com/statbeans/graphicalstatbeandoc.htm) class.

**Time Series Visualization Tool Code Sample** 

//create a datasource bean   
FileDataSource fileDataSource1 = new STATBEANS.FileDataSource(); 

//set the file name to be read   
fileDataSource1.setFileName("c:\\\\statbeans\\\\samples\\\\bridge.txt"); 

//create a forecasting bean   
TimeSeriesForecast forecast1 = new STATBEANS.TimeSeriesForecast(); 

//set variable name   
forecast1.setTimeSeriesVariableName("traffic"); 

//set time scale   
forecast1.setTimeScale("month");   
forecast1.setStartTime("1/86");   
forecast1.setSeasonalLength(12); 

//set number of forecasts desired   
forecast1.setNumberOfForecasts(24); 

//set model type and parameters   
forecast1.setModelType("ARIMA");   
forecast1.setArimaD(1);   
forecast1.setArimaMA(1);   
forecast1.setArimaSD(1);   
forecast1.setArimaSMA(1);   
forecast1.setArimaIncludeConstant(false); 

//create a plot bean   
TimeSeriesForecastPlot plot1 = new STATBEANS.TimeSeriesForecastPlot(); 

//set plot features   
plot1.setBounds(36,12,450,300);   
plot1.setHighlightPointOnMouseClick(true);   
plot1.setShowPointClickedMessage(true); 

//restrict amount of historical data plotted   
plot1.setLastPeriodsToPlot(120); 

//add the plot to the application frame   
add(plot1); 

//make the forecasting bean a listener for changes in the FileDataSource bean   
fileDataSource1.addDataChangeListener(forecast1.listenerForDataChange); 

//make the plot bean a listener for changes in the forecasting bean   
forecast1.addDataChangeListener(plot1.listenerForDataChange); 

//instruct the fileDataSource bean to read the file   
fileDataSource1.readData();

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