{"title":"Statistics","nodeType":"Visualizer","id":"*7N4LxTHoPJrHN5lT","factoryName":"org.knime.base.node.stats.viz.extended.ExtendedStatisticsNodeFactory","factoryId":"org.knime.base.node.stats.viz.extended.ExtendedStatisticsNodeFactory","path":["Analytics","Statistics"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node calculates statistical moments such as minimum, maximum, mean, standard deviation, variance, median, overall sum, number of missing values and row count across all numeric columns, and counts all nominal values together with their occurrences. The dialog offers two options for choosing the median and/or nominal values calculations:</p>\n        ","shortDescription":"Calculates statistic moments with their distributions as histograms and counts nominal values and their\n    occurrences across all columns.","keywords":["frequency table","field summary"],"deprecated":false,"streamable":false,"tags":["Analytics","Statistics"],"icon":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAA3BpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMDY3IDc5LjE1Nzc0NywgMjAxNS8wMy8zMC0yMzo0MDo0MiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDowYjM2YWM5Ny01ZWJhLTQwZTctOTE4OS1iYmU4ZDdkMGYyNGUiIHhtcE1NOkRvY3VtZW50SUQ9InhtcC5kaWQ6MzEyNjA2NjY4MjQ2MTFFNUIwNzZBNjc5RjFCMTFDMjgiIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6MzEyNjA2NjU4MjQ2MTFFNUIwNzZBNjc5RjFCMTFDMjgiIHhtcDpDcmVhdG9yVG9vbD0iQWRvYmUgUGhvdG9zaG9wIENDIDIwMTUgKE1hY2ludG9zaCkiPiA8eG1wTU06RGVyaXZlZEZyb20gc3RSZWY6aW5zdGFuY2VJRD0ieG1wLmlpZDpBOUQ4QUYyMzM3OTkxMUU1QUEwNEEzNDQxMEQ0QjlGNiIgc3RSZWY6ZG9jdW1lbnRJRD0ieG1wLmRpZDpBOUQ4QUYyNDM3OTkxMUU1QUEwNEEzNDQxMEQ0QjlGNiIvPiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gPD94cGFja2V0IGVuZD0iciI/PhcOv8kAAABfSURBVHjaYvz//z8DJYCJgULAgk2QkZER7iygCxnJcoGUmPQAegEXwOY1il1APS8gO49sFxAb8iQFIiGX4QyDZ6+eEpU2sLrg3fc/cLYQJwttY4GgASDXwDBNXAAQYAC33hxkyms0fQAAAABJRU5ErkJggg==","views":[{"name":"Statistics View","description":"Displays all statistic moments (for all numeric columns), nominal values (for all selected categorical columns) and the most frequent/infrequent values from the categorical columns (Top/bottom)."}],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table","description":"Table from which to compute statistics."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Statistics Table","description":"Table with numeric values."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Nominal Histogram Table","description":"Table with all nominal value histograms."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Occurrences Table","description":"Table with all nominal values and their counts."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Options","fields":[{"name":"Calculate median values (computationally expensive)","description":"Select this option if for all numeric columns the medians are computed. Note, this computation might be expensive, since it requires to sort all column independently to find the values that divides the distribution into two halves of the same number of values.","optional":false},{"name":"Column filter","description":"Filter columns for counting all possible values.","optional":false},{"name":"Max no. of most frequent and infrequent values (in view)","description":"Adjusts the number of counts for both, top number of frequent and infrequent occurrences of categorical values per column (displayed in the node view!).","optional":false},{"name":"Max no. of possible values per column (in output table)","description":"Adjusts the maximum number of possible values per column in the nominal output table.","optional":false},{"name":"Enable HiLite","description":"Enable HiLite functionality for interactive highlighting of data points.","optional":false},{"name":"Histogram format","description":"The image format of histogram cells.\n<ul><li><b>SVG</b> : Histogram in SVG format</li><li><b>PNG</b> : Histogram in PNG format</li></ul>","optional":false},{"name":"Width","description":"The width of the histogram.","optional":false},{"name":"Height","description":"The height of the histogram.","optional":false},{"name":"Show min/max values","description":"Show or do not show the numeric min/max values on histograms.","optional":false}]}],"links":[],"kudos":[{"accountId":"account:user:dd442099-f1a8-4eac-afe1-ff2260aed510","user":"yigitbcesur","date":"2024-06-03T05:16:27+00:00"},{"accountId":"account:user:9ff3822f-e999-403b-83de-2e073a909d05","user":"nadja","date":"2020-10-28T18:26:56+00:00"}],"kudosCount":2,"bundleInformation":{"bundleVersion":"5.12.0.v202604281126","bundleName":"KNIME Statistic Nodes","bundleSymbolicName":"org.knime.stats","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.stats","featureName":"KNIME Statistics Nodes","featureVersion":"5.12.0.v202604281126","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*G7WNikjPW2P03gXm"},"frequentSuccessors":[{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.09881422924901186},{"id":"*6jI6GPZYQlWirx9J","factoryName":"org.knime.base.node.viz.table.TableNodeFactory","probability":0.09574000878348704},{"id":"*JiJhJpgkWWuOfG2s","factoryName":"org.knime.ext.poi2.node.write2.XLSWriter2NodeFactory","probability":0.043697848045674136},{"id":"*N7-H3bidfkHZ-DRO","factoryName":"org.knime.base.node.viz.plotter.box.BoxPlotNodeFactory","probability":0.04238032498902064},{"id":"*jd2U-FYTI8jCbQls","factoryName":"org.knime.base.node.preproc.filter.row.RowFilterNodeFactory","probability":0.041282389108476064},{"id":"*K7kfXjkFKmuoHh7I","factoryName":"org.knime.base.node.viz.histogram.node.FixedColumnHistogramNodeFactory","probability":0.03842775581906017},{"id":"*Oy714gpoifm4PiOZ","factoryName":"org.knime.base.node.io.csvwriter.CSVWriterNodeFactory","probability":0.03535353535353535},{"id":"*oluxz9j9RhfJY3E0","factoryName":"org.knime.base.node.preproc.correlation.compute.CorrelationComputeNodeFactory","probability":0.032059727711901624},{"id":"*2fI5rIsFDCFPHc0R","factoryName":"org.knime.ext.jep.JEPNodeFactory","probability":0.03184014053579271},{"id":"*xg4kORa5IVFVfpPN","factoryName":"org.knime.base.node.viz.plotter.scatter.ScatterPlotterNodeFactory","probability":0.029644268774703556}]}
