!Tool Description

An important step in data analysis is data exploration, to achieve a better
understanding of the data. The Exploratory Pattern Analytics (EPA)
tool works on prepared/preprocessed tabular data. It provides
explanatory patterns, i.e., simple rules between some parameters
(e.g., temperature, pressure) that are predictive for a certain
target parameter (e.g., scrap rate). This provides important insights
enhancing data understanding.
For example, it could be used to better understand why certain known outliers occur
in process data. 


!Guidelines

Before you are getting started, take a look at the [guidelines | epa//epa-guidelines.pdf] and make yourself familiar with how to use the tool.

!Getting Started

The tool is available at [https://github.com/cslab-hub/Data_Analytics_DIPLAST/tree/epa].