Data Visualization
Christo El Morr,
Manar Jammal,
Hossam Ali-Hassan and
Walid El-Hallak ()
Additional contact information
Christo El Morr: York University
Manar Jammal: York University
Hossam Ali-Hassan: York University, Glendon Campus
Walid El-Hallak: Ontario Health
Chapter Chapter 5 in Machine Learning for Practical Decision Making, 2022, pp 165-193 from Springer
Abstract:
Abstract Visualization via graphics like charts, graphs, and images is an effective and efficient way to interpret and understand data and help spot valuable information such as patterns, trends, and anomalies [1]. The reason is that, unlike tables and written text, graphs are primarily visual in nature, and approximately 70% of our sense receptors are dedicated to vision [2]. Moreover, our eyes are drawn to patterns and colors, can easily differentiate red from blue and a circle from a square, and can quickly see trends and outliers [3].
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-16990-8_5
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DOI: 10.1007/978-3-031-16990-8_5
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