Chapter 2. Data Visualization and Data Storytelling
Like so many other revolutions before it, data is a great teacher, with the ability to transfer information from the ephemeral to the tangible with powerful results. Data is defined as factual information (such as measurements or statistics) used as a basis for reasoning, discussion, or calculation. Additionally, we can define data as information in digital form that can be transmitted or processed.1
Data becomes more useful once it’s transformed into a data visualization or used in a data story. Data storytelling is the ability to effectively communicate insights from a dataset using narratives and visualizations. It can be used to put data insights into context and inspire action from your audience. Color can be very helpful when you are trying to make information stand out within your data visualizations.
In data storytelling, color helps to set the tone and enforces a unique message for the underlying visualizations. Color aids in developing a specific atmosphere that can convert a data visualization into an emotion-packed data story.
In this chapter, we will discuss the concept of data visualization, exploring different methods for portraying data such as time series, frequency, relationships, networks, and more. You’ll learn about data storytelling and the types of colors that can be used to deliver insights (i.e., diverging, sequential, categorical).
What Is Data Visualization?
Data visualization is the practice ...
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