/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.visualization;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Statistics;
import com.rapidminer.operator.ResultObjectAdapter;
import com.rapidminer.tools.Ontology;
import com.rapidminer.tools.Tools;
/**
* This class encapsulates some very simple statistics about the given
* attributes. These are the ranges of the attributes and the average or mode
* values for numerical or nominal attributes respectively. This information
* is automatically calculated and displayed by the graphical user interface of
* RapidMiner. Since they cannot be displayed with the command line version of RapidMiner
* the operator {@link DataStatisticsOperator} can be used as a workaround in
* cases where the graphical user interface cannot be used.
*
* @author Ingo Mierswa
* @version $Id: DataStatistics.java,v 1.7 2008/07/19 16:31:17 ingomierswa Exp $
*/
public class DataStatistics extends ResultObjectAdapter {
private static final long serialVersionUID = -9182815345498602690L;
private List<String> statistics = new LinkedList<String>();
public String getName() {
return "Data Statistics";
}
public void addInfo(ExampleSet exampleSet, Attribute attribute) {
StringBuffer result = new StringBuffer(attribute.toString() + ": ");
if (Ontology.ATTRIBUTE_VALUE_TYPE.isA(attribute.getValueType(), Ontology.DATE_TIME)) {
long minMilliseconds = (long)exampleSet.getStatistics(attribute, Statistics.MINIMUM);
long maxMilliseconds = (long)exampleSet.getStatistics(attribute, Statistics.MAXIMUM);
long difference = maxMilliseconds - minMilliseconds;
String duration = "length = ";
if (attribute.getValueType() == Ontology.DATE) {
// days
duration += com.rapidminer.tools.Tools.formatIntegerIfPossible(Math.round((double)difference / (24.0d * 60.0d * 60.0d * 1000.0d))) + " days";
} else if (attribute.getValueType() == Ontology.TIME) {
// hours
duration += com.rapidminer.tools.Tools.formatIntegerIfPossible(Math.round((double)difference / (60.0d * 60.0d * 1000.0d))) + " hours";
} else if (attribute.getValueType() == Ontology.DATE_TIME) {
// days
duration += com.rapidminer.tools.Tools.formatIntegerIfPossible(Math.round((double)difference / (24.0d * 60.0d * 60.0d * 1000.0d))) + " days";
}
result.append(duration);
} else if (attribute.isNominal()) {
result.append("mode = " + attribute.getMapping().mapIndex((int)exampleSet.getStatistics(attribute, Statistics.MODE)));
} else {
result.append("avg = " + exampleSet.getStatistics(attribute, Statistics.AVERAGE) + " +/- " + Math.sqrt(exampleSet.getStatistics(attribute, Statistics.VARIANCE)));
}
result.append("; unknown = " + exampleSet.getStatistics(attribute, Statistics.UNKNOWN));
statistics.add(result.toString());
}
public String toString() {
StringBuffer result = new StringBuffer();
Iterator i = statistics.iterator();
while (i.hasNext()) {
result.append((String) i.next() + Tools.getLineSeparator());
}
return result.toString();
}
public String getExtension() { return "sta"; }
public String getFileDescription() { return "data statistics"; }
}