This is a very Tableau dashboard that allows users to explore a music genre dataset from Kaggle. The end user can select different features for the X and Y axis to determine potential relationships within the data. Two Tableau Analytics Extensions are used to compare Random Forest models generated in both R and Python.
The R extension used in this workbook takes x and y input data, trains a
Random Forest, and returns the predicted values based on the training data.
The Python extension used in this workbook takes x and y input data, trains
a Random Forest, and returns the predicted values based on the training data.
Two shinytableau extensions are included that create density plots along the X and Y axis of the main scatterplot.
The Tableau workbook included in this example contains a main scatterplot and two subplots showing the residuals from two different Random Forest models.