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7 Key Principles of Effective Data Visualization

Incredibly, around 2.5 quintillion bytes of new data is generated every day, and this number is increasing day by day. Businesses, therefore, deploy various big data tools to make sense out of these large volumes of data. One effective method for you to understand complex data in an easier manner is through data visualization.

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7 Key Principles of Effective Data Visualization

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  1. 7 Key Principles of Effective Data Visualization

  2. What is data visualization? Data visualization involves making sense of rows and columns of data by presenting it in an easily understandable format. Data may, therefore, be represented by pictures, charts, or graphs, to make it easy-to-understand or to identify new patterns.

  3. Key principles of effective data visualization By applying effective data visualization principles, your business may make considerable improvements in the way data is displayed. Doing so will also help you save on costs and days of upfront design efforts.

  4. Determine the best visual To begin with, it is imperative to understand the volume of data in hand. You may then identify the aspects that you wish to visualize along with the information that you wish to convey. After this, you may select the best-suited and simplest visual format for your target audience.

  5. Balance the design This refers to equally distributed visual elements across the plot such as texture, color, shape, and negative space. You may select the visual to be symmetrical, asymmetrical or radial, and figure out the right balance of elements that work best for visualizing your data.

  6. Focus on the key areas Ensure that the key areas are well- highlighted. You may place key data points towards the top-left corner as a user’s attention is generally drawn towards that quadrant.

  7. Keep it simple  Keep in mind that the ultimate goal of data visualization is simplicity. You may build additional visuals if you wish to convey a multi-faceted story.

  8. Incorporate interactivity You may deploy data visualization tools that infuse interactivity into your graphs or charts. However, ensure that this does not confuse the target audience since the main purpose is to clarify doubts or queries.

  9. Use patterns You may display similar types of information as one with the help of patterns. You may establish a pattern by using similar chart types, colors, or any other element.

  10. Compare aspects You may display a side-by-side comparison of aspects to make understanding of data easier. You may also align data either horizontally or vertically so that it can be compared accurately.

  11. Conclusion It is necessary to apply effective data visualization principles to improve the way data is displayed to your target audience. Some of the key aspects of effective data visualization include determining the best visual, balancing the design, focusing on key areas, keeping the visuals simple, using patterns, comparing parameters, and creating interactivity.

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