Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40531
Title: Identifying the Steps in an Exploratory Data Analysis: A Process-Oriented Approach
Authors: Van Daele, Seppe
JANSSENSWILLEN, Gert 
Issue Date: 2023
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Source: Montali, M.; Senderovich, A.; Weidlich, M. (Ed.). PROCESS MINING WORKSHOPS, ICPM 2022, SPRINGER INTERNATIONAL PUBLISHING AG, p. 526 -538
Series/Report: Lecture Notes in Business Information Processing
Abstract: Best practices in (teaching) data literacy, specifically Exploratory Data Analysis, remain an area of tacit knowledge until this day. However, with the increase in the amount of data and its importance in organisations, analysing data is becoming a much-needed skill in today's society. Within this paper, we describe an empirical experiment that was used to examine the steps taken during an exploratory data analysis, and the order in which these actions were taken. Twenty actions were identified. Participants followed a rather iterative process of working step by step towards the solution. In terms of the practices of novice and advanced data analysts, few relevant differences were yet discovered.
Notes: Janssenswillen, G (corresponding author), UHasselt Hasselt Univ, Fac Business Econ, Agoralaan, B-3590 Diepenbeek, Belgium.
gert.janssenswillen@uhasselt.be
Keywords: Process mining;Deliberate practice;Learning analytics
Document URI: http://hdl.handle.net/1942/40531
ISBN: 978-3-031-27814-3; 978-3-031-27815-0
DOI: 10.1007/978-3-031-27815-0_38
ISI #: 001000555000038
Rights: Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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