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Storytelling with Data

Storytelling with Data

Let's Practice!
by Cole Nussbaumer Knaflic 2019 448 pages
4.47
100+ ratings
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Key Takeaways

1. Context is King: Know Your Audience and Purpose

A little planning can go a long way and lead to more concise and effective communications.

Understanding the audience. Before diving into data, identify who you're communicating with. What are their priorities, knowledge level, and potential biases? Tailor your message and visuals to resonate with their specific needs and interests. For example, presenting to senior leadership requires a different approach than presenting to a technical team.

Defining the purpose. What action do you want your audience to take? Are you informing, persuading, or seeking a decision? Clearly define your objective to guide your communication strategy. A well-defined purpose ensures that your data and visuals are focused and impactful.

The Big Idea. Craft a concise, compelling statement that encapsulates your main message. The Big Idea should articulate your unique point of view, convey what's at stake, and be a complete sentence. This serves as a North Star, guiding your content and ensuring a clear, focused message.

2. Visuals Speak Louder Than Tables: Choose the Right Chart

Any data can be graphed countless different ways.

Beyond the table. While tables are useful for data storage, they often require significant cognitive effort to interpret. Visualizations, when chosen effectively, can reveal patterns and insights more quickly and intuitively. Consider transforming tables into charts to enhance understanding.

Chart selection. Different chart types are suited for different purposes. Bar charts are excellent for comparing categories, line graphs for showing trends over time, and scatter plots for illustrating relationships between variables. Select the chart type that best highlights the key insights you want to convey.

Iterate and explore. Don't settle for the first visualization that comes to mind. Experiment with different chart types and layouts to discover the most effective way to present your data. Iteration is key to finding the visual that best tells your story.

3. Less is More: Declutter for Clarity

Every element we put in our graphs or on the pages and slides that contain them adds cognitive burden—each one consumes brainpower to process.

Eliminate unnecessary elements. Remove chart borders, gridlines, and excessive labels that don't contribute to understanding. Clutter distracts from the data and increases cognitive load. Simplify your visuals to focus attention on the essential information.

Strategic use of white space. White space, or negative space, is crucial for visual clarity. Use it to separate elements, create visual hierarchy, and guide the eye. Avoid overcrowding your visuals, allowing the data to breathe.

Gestalt principles. Leverage Gestalt principles, such as proximity, similarity, and enclosure, to visually group related elements and create a sense of order. These principles help viewers subconsciously organize and interpret the information.

4. Direct Attention: Guide the Eye with Purpose

Not everyone sees the same thing when they look at data, but by taking thoughtful design steps, you can help your audience focus on the right things.

Strategic use of color. Use color sparingly to highlight key data points or trends. Avoid overwhelming the viewer with too many colors. Choose colors that are visually distinct and accessible to those with colorblindness.

Preattentive attributes. Leverage preattentive attributes, such as size, intensity, and position, to draw attention to important elements. Make key data points larger, bolder, or more prominent to guide the eye.

Visual hierarchy. Establish a clear visual hierarchy to guide the viewer through the information. Use size, color, and placement to indicate the relative importance of different elements. Ensure that the most important information is the most visually prominent.

5. Design Matters: Aesthetics, Accessibility, and Acceptance

You know what great design looks like when you see it, but how do you actually achieve it—particularly if you don’t consider yourself a designer?

Aesthetics. Pay attention to the overall look and feel of your visuals. Use consistent fonts, colors, and styles to create a cohesive and professional design. A well-designed visual is more engaging and credible.

Accessibility. Design for inclusivity. Consider the needs of viewers with disabilities, such as colorblindness or low vision. Use high-contrast colors, provide alternative text for images, and ensure that your visuals are accessible to screen readers.

Acceptance. Tailor your design to your audience's expectations and preferences. Consider their familiarity with different chart types and their cultural background. A design that is well-received is more likely to be understood and acted upon.

6. Data Tells a Story: Craft a Compelling Narrative

Stories, on the other hand, are memorable.

Beyond the facts. Data alone is not enough. To make your message stick, craft a compelling narrative that connects with your audience on an emotional level. Use storytelling techniques to engage their attention and make your data more memorable.

Identify the tension. What problem are you trying to solve? What challenges are your audience facing? Clearly articulate the tension to create a sense of urgency and motivate action.

The narrative arc. Structure your presentation using the narrative arc: plot, rising action, climax, falling action, and resolution. This time-tested structure helps to build suspense, engage the audience, and deliver a satisfying conclusion.

7. Practice Makes Perfect: Hone Your Skills Continuously

There has never been a time in history where so many people have had access to so much data. Yet, our ability to tell stories with our graphs and visualizations has not kept pace.

Continuous learning. Data visualization is a skill that requires continuous practice and refinement. Seek out opportunities to learn new techniques, experiment with different tools, and stay up-to-date on the latest trends.

Seek inspiration. Explore data visualization galleries, blogs, and challenges to find inspiration and learn from others. Analyze what makes effective visuals work and adapt those techniques to your own work.

Embrace experimentation. Don't be afraid to try new things and push the boundaries of your skills. Experiment with different chart types, layouts, and design elements to discover what works best for you.

8. Feedback is a Gift: Embrace Critique for Growth

Give & receive effective feedback.

Solicit feedback early and often. Share your work with others and ask for constructive criticism. Be open to suggestions and use feedback to improve your visuals.

Be specific in your requests. When seeking feedback, be clear about what you're looking for. Are you concerned about clarity, accuracy, or aesthetics? Specific requests will elicit more targeted and helpful feedback.

Give constructive criticism. When providing feedback, focus on the work, not the person. Be specific, objective, and offer suggestions for improvement. Frame your feedback in a positive and supportive manner.

Last updated:

Review Summary

4.47 out of 5
Average of 100+ ratings from Goodreads and Amazon.

Storytelling with Data receives high praise for its practical approach to data visualization. Readers appreciate its systematic methods, clear explanations, and helpful exercises. The book is valued for teaching how to declutter charts, build tension in presentations, and effectively communicate results. Many find it invaluable for improving their data storytelling skills, especially in professional settings. Some readers note its usefulness as a textbook or workbook, and appreciate the downloadable data for practice. Overall, it's considered an excellent resource for those in data-related fields.

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About the Author

Cole Nussbaumer Knaflic is the author of "Storytelling with Data," a highly-regarded book on data visualization. Her work focuses on teaching effective ways to communicate data through visual storytelling. Knaflic's approach emphasizes decluttering charts, building narrative tension, and creating clear, actionable presentations. Her books are used in college courses and praised by professionals in data-related fields. Knaflic's expertise lies in bridging the gap between technical data analysis and compelling visual communication. Her work is particularly valued for its practical, step-by-step guidance and its applicability in business and academic settings.

Other books by Cole Nussbaumer Knaflic

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