Effective Visualization in EDA: Guidelines for Choosing and Designing Plots
Hietala, Vilma (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025081924009
https://urn.fi/URN:NBN:fi:amk-2025081924009
Tiivistelmä
The objective of this thesis was to create a practical framework for designing and selecting effective plots that support decision making and data understanding. The target group was individuals without extensive experience in data analytics.
The study was conducted using a two-part approach. First, a literature review was carried out to identify common plot types, their use cases and special characteristics, the common data types, and basic principles of visualization design. In the second part, these findings were tested in a case study using a dataset compiled from the Finnish Public Libraries Statistics website.
It was found that a thorough understanding of both the dataset and the visualization topic is crucial, along with knowledge of the characteristics and use cases of common plot types. This thesis supports these conclusions by compiling key information on data types and common plot types into a single, accessible resource.
The study was conducted using a two-part approach. First, a literature review was carried out to identify common plot types, their use cases and special characteristics, the common data types, and basic principles of visualization design. In the second part, these findings were tested in a case study using a dataset compiled from the Finnish Public Libraries Statistics website.
It was found that a thorough understanding of both the dataset and the visualization topic is crucial, along with knowledge of the characteristics and use cases of common plot types. This thesis supports these conclusions by compiling key information on data types and common plot types into a single, accessible resource.