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Data Visualization

In: Machine Learning for Practical Decision Making

Author

Listed:
  • Christo El Morr

    (York University)

  • Manar Jammal

    (York University)

  • Hossam Ali-Hassan

    (York University, Glendon Campus)

  • Walid El-Hallak

    (Ontario Health)

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].

Suggested Citation

  • Christo El Morr & Manar Jammal & Hossam Ali-Hassan & Walid El-Hallak, 2022. "Data Visualization," International Series in Operations Research & Management Science, in: Machine Learning for Practical Decision Making, chapter 0, pages 165-193, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-16990-8_5
    DOI: 10.1007/978-3-031-16990-8_5
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