Type of tool: Local browser-based app

Required skills:

- Process/material knowledge: Knowledge of the data being analysed

- Digitalization knowledge: (Basic) knowledge of how to filter/preprocess data for analysis

Short description of the 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.

- Link to the guideline: Before you get started, take a look at the guidelines and make yourself familiar with how to use the tool.

Disclaimer:

(Disclaimer Text)

How to use/download/access it:

The tool is available through the Data Analytics tool interface at: https://github.com/cslab-hub/Data_Analytics_DIPLAST/tree/epa. Installation instructions are included in the file named "Installation.docx". The python interface for programmers is available at: https://github.com/cslab-hub/sd4py.

Description of the problem the tools solves:

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.

Contact person of the tool: Dan Hudson

Related tools:

- Analyse and Visualize your process data with data analytics -> Data Analytics

- Get guidance to set up a working data infrastucture -> Data Infrastructure Wiki

- Find the right sensor to survey your process -> Sensor Tool

- Improve internal information and material flow -> VSM

- Match material requirements with material properties -> Matrix