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This panel looks at individual cases in a collection and gives you control over case attributes.
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This panel gives you the ability to define measures (see Define a Measure) for a collection.
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Each collection has a panel that you can use to describe the collection’s origin and purpose.
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In addition to attributes that you define, cases in a collection always have a set of attributes that control how they are displayed in an open collection. You can use these attributes to change the position, size, , and of the cases formulaically (see Change the Appearance of Cases in a Collection).
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A category set can be assigned to one or more attributes to define the valid values for those attributes (see Attributes with Category Sets). In the panel, you can see the list of currently defined category sets and edit the categories and their order (see Control Behavior of Categorical Attributes Using Category Sets).
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When you import data from a website or from a file, the panel allows you to go back to that location and re-import the data.
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When you import census microdata from the site, use this panel to specify which cases to get and which attributes the cases should have. The panel sticks with the collection to help make it easy to go back and modify your request (see Import U.S. Census Microdata from IPUMS).
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Sampling cases from a collection creates a sample collection whose inspector has a panel that gives you control over the sampling process (see Sampling Simulations).
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Collecting measures from a collection creates a measures collection whose inspector has a panel that gives you control over the collecting process (see Collect Measures and Other Results).
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When you create a survey, this panel allows you to write questions for attributes, to collect data. If you have a Fathom Surveys Account, you can upload the questions to the Fathom Surveys website. You can download the survey responses from the website into your Fathom collection as data (see Work with Surveys).
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When you create an experiment, this panel allows you to decide collection parameters, triggers for starting the experiment, and when to turn the experiment on or off (see Set Up an Experiment).
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Scrambling the attribute values in a collection creates a new collection whose inspector has a panel that lets you specify which attribute should be the one whose values are scrambled (see Use Scrambling to Test for Independence).
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The inspector of a collection that is made by stacking the attributes of another collection has a panel that allows you to assign your own names to the group and value attributes in the stacked collection.
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A graph’s inspector has a panel that gives you control over many of the details of the graph’s layout, such as the axis bounds, the width of a histogram’s bins, and whether Fathom will automatically rescale an axis to include all the data.
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A graph's inspector has a panel that shows the error bar lengths and the point size, as well as the attributes of the cases. You can change these values using a formula or by assigning a constant numeric value.
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A slider’s inspector has a panel that gives you control over such things as how fast the slider animates, the slider axis bounds, and the formula for the slider value.
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A meter’s inspector has a panel that gives you control over the name and the meter axis bounds
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The inspector for a multiple regression model object has a panel that includes the attributes for the source collection and attributes derived by the regression model (such as predicted values and ), making them available for looking at in graphs and summary tables (see Multiple Regression).
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