Guide: SAP Predictive Analysis – how to perform an association analysis using data from the Titanic accident.
SAP’s Predictive Analysis allows users to leverage many types of algorithms and visualizations. One of the interesting algorithms is Apriori also known as association analysis or basket analysis.
In this video I will demonstrate how to use the Apriori algorithms on data from the Titanic accident.
The business question: Watch this video if you would like some arguments to use with your boss for travelling 2nd or 1 first class.
As shown in this video there is just a few steps needed to perform this very powerful data mining analysis with SAP Predictive Analysis:
Lessons learned from the Apriori rules generated:
* Don’t travel 3rd class if you want to survive.
* Don’t be part of the crew if you want to survive.
* Certainly don’t be a male if you want to survive.
So to answer the business question. If you want a higher chance to survive travelling: travel 1 first class & be female.
With this step-by-step approach you will be able to enhance SAP Predictive Analysis with even further statistical algorithms and charts / visualizations.
Pre-requisites – installed software:
SAP Predictive Analysis version 1.0.11
R 2.15 with the necessary libraries with r algorithms.
R Titanic dataset is pre-installed with R.