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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39340
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Information age data is the backbone of industry decision-making. Raw data, however, lacks accessibility without effective visualization techniques to make it accessible and actionable. Data visualization takes complicated data sets and converts them into intuitive, visual formats, and using this, businesses can discover trends, correlations, and insights that guide informed decisions. This paper explores the process from raw data to actionable insights through data visualization, in terms of significance, core techniques, tools, and applications across multiple sectors. It further mentions best practices and challenges to ensure that the visual representation is accurate and meaningful.
KEYWORDS
Publication Date
2/11/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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