Storytelling with data book3/3/2024 This includes a brief discussion on sight and memory that will act to frame up the importance of preattentive attributes like size, color, and position on the page. In this chapter, we continue to examine how people see and how you can use that to your advantage when crafting visuals. Several examples are used to illustrate the lessons.Ĭhapter 4: Focus your audience’s attention We also discuss alignment, strategic use of white space, and contrast as important components of thoughtful design. As part of this conversation, I introduce and discuss the Gestalt Principles of Visual Perception and how we can apply them to visual displays of information such as tables and graphs. Identifying and eliminating clutter is the focus of this chapter. That means we should take a discerning eye to the elements we allow on our page or screen and work to identify those things that are taking up brain power unnecessarily and remove them. Picture a blank page or a blank screen: every single element you add to that page or screen takes up cognitive load on the part of your audience. We also cover visuals to be avoided, including pie and donut charts, and discuss reasons for avoiding 3D. Specific types of visuals covered include simple text, table, heatmap, line graph, slope graph, vertical bar chart, vertically stacked bar chart, waterfall chart, horizontal bar chart, horizontal stacked bar chart, and square area graph. In this chapter, I introduce the most common types of visuals used to communicate data in a business setting, discuss appropriate use cases for each, and illustrate each through real-world examples. I’ve analyzed the visual displays I use most in my work. What is the best way to show the data you want to communicate? Creating a robust understanding of the situational context reduces iterations and sets you on the path to success when creating visual content. A number of concepts are introduced and illustrated via examples to help ensure that the context is fully understood. This chapter describes the importance of understanding the situational context, including the audience, communication mechanism, and desired tone. The book presents six key lessons to guide readers in crafting compelling data narratives:īefore you start down the path of data visualization, there are a couple of questions that you should be able to answer concisely: "Storytelling with Data" is a popular book written by Cole Nussbaumer Knaflic, which offers practical guidance on how to effectively communicate insights and data-driven stories.
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