The Unspoken Rules of Data Visualisation

Introduction

Data visualization is a powerful way to communicate complex information in a simple, easy-to-understand format. When done well, data visualizations can be extremely effective in conveying a message or telling a story.

However, creating an effective data visualization is not always easy. There are a number of unspoken rules that one must follow in order to create a graphic that is both visually appealing and easy to understand.

In this article, we will take a look at some of the most important unspoken rules of data visualization. By following these rules, you will be able to create graphics that are both effective and beautiful.

What is data visualization?

Data visualization is the process of representing data in a visually appealing and easy-to-understand format. This can be done using various methods, including charts, graphs, and maps. Data visualizations are often used to communicate complex information in a simple and concise way.

The Wharton School of Business found that while only half of an audience was convinced by a purely verbal presentation, that number jumped to over two-thirds when visuals were added – (Source: American Management Association)

What makes a good data visualization?

A good data visualization should be both visually appealing and easy to understand. In other words, it should be able to effectively communicate the data that it is representing. Additionally, good data visualization should be able to tell a story or convey a message.

The unspoken rules of data visualization

There are a number of unspoken rules that one must follow in order to create an effective data visualization. These rules include: – Use few colors: Too many colors can be confusing and make it difficult to understand the data. Stick to a limited color palette and use colors that contrast well with each other. – Use simple shapes: Simple shapes are easier to understand and interpret than complex shapes. When possible, use basic shapes such as circles, squares, and triangles. – Avoid 3D: Three-dimensional data visualizations can be difficult to interpret and can often give a false sense of scale. Stick to two-dimensional graphics whenever possible.

How to create effective graphics

There are a number of things you can do to create effective data visualizations. First, make sure to follow the unspoken rules that we discussed in the previous section. Additionally, you should: – Use clear and concise labels: Labels should be short and to the point. They should accurately describe the data that they are representing. – Use effective visualization techniques: There are a number of different visualization techniques that you can use to represent data. Choose the technique that best suits the data you are working with. – Use contextual information: Contextual information such as titles and captions can be extremely helpful in Interpretation data visualizations. Be sure to use them when appropriate.

Conclusion

Data visualization is a powerful way to communicate complex information in a simple, easy-to-understand format. By following the unspoken rules of data visualization, you can create graphics that are both effective and beautiful.

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