Chapter 9

Following the Principles of Data Visualization Design

IN THIS CHAPTER

check Laying out the basic types of data visualizations

check Choosing the perfect data visualization type for the needs of your audience

check Picking the perfect design style

check Adding context

check Crafting clear and powerful visual messages with the right data graphic

Any standard definition of data science will specify that its purpose is to help you extract meaning and value from raw data. Finding and deriving insights from raw data is at the crux of data science, but these insights mean nothing if you don’t know how to communicate your findings to others. Data visualization is an excellent means by which you can visually communicate your data’s meaning. To design visualizations well, however, you must know and truly understand the target audience and the core purpose for which you’re designing. You must also understand the main types of data graphics that are available to you, as well as the significant benefits and drawbacks ...

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