USAGE OF VISUALIZATION TECHNIQUES IN DATA SCIENCE WORKFLOWS



Authors

  • Shaloo Dadheech, Ekta Acharya, Bhanu Priya, Neha Gupta

DOI:

https://doi.org/10.15282/jmes.17.1.2023.10.0759


Keywords:

Visualization, Visual Data Science, Applied Computing, data understanding, patterns.


Abstract

The field of data science has witnessed significant growth in recent years, driven by the availability of large datasets and advancements in computing power. Data scientists often encounter complex and high-dimensional data that require effective techniques for exploration, analysis, and communication. Visualization techniques play a crucial role in data science workflows by enabling the representation of data in visual forms that aid in understanding patterns, trends, and insights. This paper explores the usage of visualization techniques in data science workflows, highlighting their benefits and applications across different stages of the data science process.



Published

2024-04-16

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