Data Functions
Data Functions
Add advanced analytics features into your data pipelines with prebuilt data functions
61 files
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This component is a TERR/R data function which interpolates a variable across two-dimensional latitude and longitude coordinate space.92
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Univariate time-series preparation and modeling with Holt-Winters smoothing and forecast.85
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This Data Function generates a contour plot as a feature layer on a map chart157
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Use Spatial Join to find data in one marker layer that is nearby data from another marker layer.60
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This Python data function calculates metrics to help the user decide on the optimal number of clusters (K value) for the K-Means method on the given input dataset.25
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Spotfire data function calculating driving or walking routes between two points.14
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This Python data function calculates the correlation coefficients between columns of data. Multiple correlation methods are available which are: Pearson, Spearman and Kendall83
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This Python data function performs Principal Component Analysis (PCA) on a given numeric dataset.71
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Component is a Python data function which performs regression or classification using a neural network.42
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This is a Python data function employing Autoencoder method. Autoencoder is a versatile deep learning model that is used in anomaly detection and dimension reduction.36
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This Python data function will train and execute an Isolation Forest machine learning model on a given input dataset.25
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This Python data function uses one-hot-encoding to transform categorical columns into multiple numeric columns containing 0's and 1's.34
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This component consisting of data function created in Python. Data function trains and executes a Random Forest machine learning model on a given input dataset.67
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This data function is able to read a CSV at a specified internet URL36
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This component is a Python data function implementing local outlier factor method to perform anomaly detection.34
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This component consisting of data function created in Python. Data function trains and executes a Logistic regression model on a given input dataset.57
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Spotfire data function for smoothing noisy data.32
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Spotfire data function that inputs a table of coordinates representing polygons, and outputs a table with the polygons in the format native to TIBCO Spotfire®.50
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This Python data function implements K-means clustering algorithm which tries to group similar items in the form of clusters. The number of groups is represented by K.46
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TERR data function which is calculating the areas of polygons.33
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This data function will train and execute a Support Vector Machine supervised machine learning model on a given input dataset.23
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Data function to draw rectangles on a Spotfire® map.25
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Data function to draw circles with fixed radius on a Spotfire® map.64
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Data function to get the driving distance and times from the central lat/long point to all points in another data table.22
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Spotfire data function identifying duplicate records.39