Merge pull request #1438 from BlazZupan/new-workflow-examples

[ENH] New workflow examples for the Welcome screen

Author: astaric

Orange/canvas/application/workflows/110-file-and-data-table-widget.ows

@@ -0,0 +1,55 @@
+<?xml version='1.0' encoding='utf-8'?>
+<scheme description="The basic data mining units in Orange are called widgets. There are widgets for reading the data, preprocessing, visualization, clustering, classification and others. Widgets communicate through channels. Data mining workflow is thus a collection of widgets and communication channels.&#10;&#10;In this workflow, there is a File widget that reads the data. File widget communicates this data to Data Table widget that shows the data spreadsheet. Notice how the output of the file widget is connected to the input of the Data Table widget. In Orange, the outputs of the widgets are on the right, and the inputs on the left of the widget." title="File and Data Table" version="2.0">
+	<nodes>
+		<node id="0" name="File" position="(89.0, 157.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owfile.OWFile" title="File" version="" />
+		<node id="1" name="Data Table" position="(290.0, 157.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owtable.OWDataTable" title="Data Table" version="" />
+	</nodes>
+	<links>
+		<link enabled="true" id="0" sink_channel="Data" sink_node_id="1" source_channel="Data" source_node_id="0" />
+	</links>
+	<annotations>
+		<text font-family="Helvetica" font-size="14" id="0" rect="(17.0, 21.0, 160.0, 55.0)">A File widget. Double click to open it and select the data set file.</text>
+		<text font-family="Helvetica" font-size="14" id="1" rect="(50.0, 229.0, 118.0, 40.0)">The output of the File widget.</text>
+		<text font-family="Helvetica" font-size="14" id="2" rect="(241.0, 227.0, 131.0, 41.0)">The input of the Data Table widget.</text>
+		<text font-family="Helvetica" font-size="14" id="3" rect="(138.0, 297.0, 150.0, 82.0)">The communication channel. It passes the data set from the File widget to the Data Table.</text>
+		<text font-family="Helvetica" font-size="14" id="4" rect="(262.0, 21.0, 150.0, 68.0)">A Data Table widget. Double click the icon to see the data in a spreadsheet.</text>
+		<text font-family="Helvetica" font-size="14" id="5" rect="(415.0, 68.0, 150.0, 83.0)">The output of the Data Table to send out any data (rows) that are selected to the widget.</text>
+		<text font-family="Helvetica" font-size="14" id="6" rect="(489.0, 177.0, 216.0, 181.0)">This output is not used, hence dashed line. You can add another Data Table by clicking on its icon from the toolbox on the left, connect the ouput of Data Table to the input of new Data Table (1) and check if the selected data from Data Table is indeed sent to the downstream widget. This demo works best if both widgets are open, that is, their windows displayed.</text>
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Orange/canvas/application/workflows/120-scatterplot-data-table.ows

@@ -0,0 +1,74 @@
+<?xml version='1.0' encoding='utf-8'?>
+<scheme description="Most of visualizations in Orange are interactive. Like Scatter Plot. Double click its icon to open the plot and by click-and-drag select few data instances (points in the plot). Selected data will automatically propagate to Data Table. Double click its widget to check which data was selected. Change selection and observe the change in the Data Table. This works best if both widgets are open." title="Interactive Visualizations" version="2.0">
+	<nodes>
+		<node id="0" name="File" position="(102.0, 206.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owfile.OWFile" title="File" version="" />
+		<node id="1" name="Scatter Plot" position="(267.0, 205.0)" project_name="Orange3" qualified_name="Orange.widgets.visualize.owscatterplot.OWScatterPlot" title="Scatter Plot" version="" />
+		<node id="2" name="Data Table" position="(412.0, 205.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owtable.OWDataTable" title="Data Table" version="" />
+	</nodes>
+	<links>
+		<link enabled="true" id="0" sink_channel="Data" sink_node_id="1" source_channel="Data" source_node_id="0" />
+		<link enabled="true" id="1" sink_channel="Data" sink_node_id="2" source_channel="Selected Data" source_node_id="1" />
+	</links>
+	<annotations>
+		<text font-family="Helvetica" font-size="12" id="0" rect="(26.0, 7.0, 150.0, 112.59375)">This File widget is set to read the Iris data set. Double click on the icon to change the input data file and observe how this workflow works for some other data sets such as housing or auto-mpg.</text>
+		<text font-family="Helvetica" font-size="12" id="1" rect="(224.0, 24.0, 150.0, 83.0)">Double click on the Scatter Plot icon to visualize the data. Then select the data subset by selecting the points from the scatter plot.</text>
+		<text font-family="Helvetica" font-size="12" id="2" rect="(412.0, 55.0, 150.0, 48.0)">Data Table widget shows the data subset selected in the Scatter Plot.</text>
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+		<arrow end="(270.0, 170.00000000000003)" fill="#C1272D" id="4" start="(271.0, 114.00000000000003)" />
+		<arrow end="(417.0, 173.0)" fill="#C1272D" id="5" start="(465.0, 112.00000000000001)" />
+		<text font-family="Helvetica" font-size="12" id="6" rect="(146.0, 300.0, 301.0, 72.0)">Try to connect some other widget to the output of the Scatter Plot. Say, a Box Plot widget (toolbox, Visualize pane). Box Plot will display distributions of the data subset selected in the Scatter Plot.</text>
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+	</annotations>
+	<thumbnail />
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Orange/canvas/application/workflows/130-scatterplot-visualize-subset.ows

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+<?xml version='1.0' encoding='utf-8'?>
+<scheme description="Some visualization widgets, like Scatter Plot and several data project widgets, can expose the data instances in the data subset. In this workflow, Scatter Plot visualize the data from the input data file, but also marks the data points that have been selected in the Data Table (selected rows).&#10;&#10;Again, this workflow works best if both Scatter Plot and Data Table are open." title="Visualization of Data Subsets" version="2.0">
+	<nodes>
+		<node id="0" name="File" position="(45.0, 155.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owfile.OWFile" title="File" version="" />
+		<node id="1" name="Scatter Plot" position="(446.0, 153.0)" project_name="Orange3" qualified_name="Orange.widgets.visualize.owscatterplot.OWScatterPlot" title="Scatter Plot" version="" />
+		<node id="2" name="Data Table" position="(236.0, 262.0)" project_name="Orange3" qualified_name="Orange.widgets.data.owtable.OWDataTable" title="Data Table" version="" />
+	</nodes>
+	<links>
+		<link enabled="true" id="0" sink_channel="Data" sink_node_id="1" source_channel="Data" source_node_id="0" />
+		<link enabled="true" id="1" sink_channel="Data" sink_node_id="2" source_channel="Data" source_node_id="0" />
+		<link enabled="true" id="2" sink_channel="Data Subset" sink_node_id="1" source_channel="Selected Data" source_node_id="2" />
+	</links>
+	<annotations>
+		<text font-family="Helvetica" font-size="12" id="0" rect="(56.0, 340.0, 150.0, 60.0)">(1) Open the Data Table and select a data instance or a subset of instances (use shift key).</text>
+		<text font-family="Helvetica" font-size="12" id="1" rect="(384.0, 20.0, 150.0, 48.0)">(2) Open the Scatter Plot to observe the selected subset from Data Table.</text>
+		<text font-family="Helvetica" font-size="12" id="2" rect="(373.0, 285.0, 164.0, 60.0)">Double click on this channel to check that data from Data Table is indeed fed as a data subset.</text>
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+	</annotations>
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