Abstract
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.
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