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Data visualization has quickly become a standard for disseminating information on the web. It's used across a range of industries, from business intelligence to journalism, to help us understand and communicate the insights within data. Our brains are primed to process information that's presented visually, making it much easier for us to understand data visualized in charts and graphs than data listed in tables and spreadsheets. A great data visualization should leverage these strengths of the human visual system to display data so that it can be readily absorbed and understood. It should take into account what we know about visual processing to enhance and ease the viewers' experience of the data. With so many tools and frameworks now available for building these graphics, it's time to go back to basics. What makes data visualizations effective? What guiding principles should we follow when designing with data? The following best practices will help you design rich, insightful data
