Chapter 9
Following the Principles of Data Visualization Design
IN THIS CHAPTER
Laying out the basic types of data visualizations
Choosing the perfect data visualization type for the needs of your audience
Picking the perfect design style
Adding context
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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