Data Functions
Data Functions
Add advanced analytics features into your data pipelines with prebuilt data functions
61 files

This component is a TERR/R data function which interpolates a variable across twodimensional latitude and longitude coordinate space.73

Univariate timeseries preparation and modeling with HoltWinters smoothing and forecast.69

This Data Function generates a contour plot as a feature layer on a map chart135

Use Spatial Join to find data in one marker layer that is nearby data from another marker layer.49

This Python data function calculates metrics to help the user decide on the optimal number of clusters (K value) for the KMeans method on the given input dataset.20

Spotfire data function calculating driving or walking routes between two points.9

This Python data function calculates the correlation coefficients between columns of data. Multiple correlation methods are available which are: Pearson, Spearman and Kendall64

This Python data function performs Principal Component Analysis (PCA) on a given numeric dataset.52

Component is a Python data function which performs regression or classification using a neural network.33

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.23

This Python data function will train and execute an Isolation Forest machine learning model on a given input dataset.16

This Python data function uses onehotencoding to transform categorical columns into multiple numeric columns containing 0's and 1's.26

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.53

This data function is able to read a CSV at a specified internet URL29

This component is a Python data function implementing local outlier factor method to perform anomaly detection.24

This component consisting of data function created in Python. Data function trains and executes a Logistic regression model on a given input dataset.43

Spotfire data function for smoothing noisy data.26

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®.38

This Python data function implements Kmeans clustering algorithm which tries to group similar items in the form of clusters. The number of groups is represented by K.40

TERR data function which is calculating the areas of polygons.28

This data function will train and execute a Support Vector Machine supervised machine learning model on a given input dataset.17

Data function to draw rectangles on a Spotfire® map.18

Data function to draw circles with fixed radius on a Spotfire® map.48

Data function to get the driving distance and times from the central lat/long point to all points in another data table.17

Spotfire data function identifying duplicate records.28