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Data Functions

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Data Functions

Add advanced analytics features into your data pipelines with prebuilt data functions

61 files

  1. Spatial Density Map Data Function for Spotfire®

    Density Maps allow you to visualize overall patterns in the density of spatial data.
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  2. Simple Decline Curve Analysis Data Function for Spotfire®

    This Data Function calculates a Hyperbolic Decline Curve Analysis using production oil and gas data.
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  3. Variable Importance Data Function for Spotfire® using Spotfire® Data Science - Workbench

    This is example of the data function for Spotfire® built in Spotfire® Data Science - Workbench (also known as Statistica). The purpose of this example is to help users in building Statistica data functions.
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  4. Clustering Data Function for Spotfire® using Spotfire® Data Science - Workbench

    This is example of the data function for Spotfire® built in Spotfire® Data Science - Workbench (also known as Statistica). This simple data function is showing clustering task.
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  5. Correlation Data Function for Spotfire® using Spotfire® Data Science - Workbench

    Correlation analysis done in Spotfire® using data function created in Spotfire® Data Science - Workbench (formerly known as Statistica).
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  6. Custom DateTime Data Function for Spotfire®

    Spotfire Extension to update a DateTime Document Property in Spotfire, allowing secondary automatic triggering of IronPython scripts or Data Functions, simulating execution on Document Open, Marking and Filter changes.
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  7. Hexbin Data Function for Spotfire®

    Two-dimensional binning with hexagonally-arranged bins of (x,y) inputs. Useful in Spotfire for simplifying an (x,y) scatter plot with a large number of points to produce a sampling density plot.
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  8. Self-Organizing Map Data function for Spotfire®

    This TERR data function and Spotfire dxp file analyzes your data and creates a self-organizing map.
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  9. CDF Data Function for Spotfire®

    This Data Function generates a plot of the empirical cumulative distribution function (cdf).
    74

  10. Clustering with Variable Importance Data Function for Spotfire®

    This data function clusters objects together based on similarities between the objects in each cluster. After identifying clusters, the function then ranks the input variables according to their influence on cluster formation.
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  11. Random Forest - Data Function for Spotfire®

    Random forests are an ensemble decision tree machine learning method for classification and regression.
    27
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