![]() You are making your audience reopen all of the oysters! Concentrate on the pearls, the information your audience needs to know. After undertaking an entire analysis, it can be tempting to want to show your audience everything, as evidence of all of the work you did and the robustness of the analysis. ![]() Too often, people err and think it’s OK to show exploratory analysis (simply present the data, all 100 oysters) when they should be showing explanatory (taking the time to turn the data into information that can be consumed by an audience: the two pearls). When we’re at the point of communicating our analysis to our audience, we really want to be in the explanatory space, meaning you have a specific thing you want to explain, a specific story you want to tell-probably about those two pearls. We might have to open 100 oysters (test 100 different hypotheses or look at the data in 100 different ways) to find perhaps two pearls. When we do exploratory analysis, it’s like hunting for pearls in oysters. Exploratory analysis is what you do to understand the data and figure out what might be noteworthy or interesting to highlight to others. explanatory analysisīefore we get into the specifics of context, there is one important distinction to draw, between exploratory and explanatory analysis. In this chapter, we will focus on understanding the important components of context and discuss some strategies to help set you up for success when it comes to communicating visually with data. Rather, before you begin down the path of creating a data visualization or communication, attention and time should be paid to understanding the context for the need to communicate. This may sound counterintuitive, but success in data visualization does not start with data visualization. ![]() Storytelling with Data Introduction Excerpt. There is a story in your data - Storytelling with Data will give you the skills and power to tell it. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. Together, the lessons in this book will help you turn your data into high-impact visual stories that stick with your audience. Leverage the power of storytelling to help your message resonate with your audience.Think like a designer and utilize concepts of design in data visualization.Direct your audience’s attention to the most important parts of your data.Recognize and eliminate the clutter clouding your information.Determine the appropriate type of graph for your situation.Understand the importance of context and audience.This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don’t make it any easier. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples -ready for immediate application to your next graph or presentation. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. ![]() Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. ![]()
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