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 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.