Auch zu "exploratory data analysis" gibt es Fundstellen in Fachartikeln und wissenschaftlichen Werken :
https://www.ibm.com/cloud/learn/exploratory-d...
What is exploratory data analysis?
Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions. ...
https://www.sciencedirect.com/science/article...
Consumer decision-making styles and mall shopping behavior: Building theory using exploratory data analysis and the comparative method ...
https://wires.onlinelibrary.wiley.com/doi/abs...
... Abstract
Exploratory data analysis, or EDA for short, is a term coined by John W. Tukey for describing the act of looking at data to see what it seems to say. This article gives a description of some typical EDA procedures and discusses some of the principles of EDA. Copyright © 2009 John Wiley & Sons, Inc.
This article is categorized under:
Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization ...
... weitere Anwendungsbeispiele : https://scholar.google.co.uk/scholar?hl=en&lr...
