#TABLEAU MODEL BUILDER HOW TO#

Returns the probability (between 0 and 1) of the expected value being less than or equal to the observed mark, defined by the target expression and other predictors. This is the Posterior Predictive Quantile. Returns a target numeric value within the probable range defined by the target expression and other predictors, at a specified quantile. Predictive modeling functions available in Tableau

#TABLEAU MODEL BUILDER HOW TO#

The data can be filtered, aggregated, and transformed at any level of detail, and the model-and thus the prediction-will automatically recalculate to match your data.įor a detailed example that shows how to create prediction calculations using these functions, see Example - Explore Female Life Expectancy with Predictive Modeling Functions. With these predictive modeling functions, you can select targets and predictors by updating the variables and visualizing multiple models with different combinations of predictors. For more information about table calculations, see Transform Values with Table Calculations. Now, you can use the predictive modeling functions to make predictions from your data by including them in a table calculation. Previously, users had to integrate Tableau with R and Python in order to perform advanced statistical calculations and visualize them in Tableau. You can already add trend lines and forecasts to a visualization, but now you can go beyond this, using the power of a statistical engine to build a model that understands how your data is distributed around such a trend line, or line of best fit.

Tableau model builder