Storytelling with Data (Cole Nussbaumer Knaflic) - Amazon USA Store: https://www.amazon.com/dp/1119002257?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Storytelling-with-Data-Cole-Nussbaumer-Knaflic.html - Apple Books: https://books.apple.com/us/audiobook/heavy-weather-unabridged/id1543805365?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree - eBay: https://www.ebay.com/sch/i.html?_nkw=Storytelling+with+Data+Cole+Nussbaumer+Knaflic+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Read more: https://english.9natree.com/read/1119002257/ #datastorytelling #datavisualization #businesscommunication #chartdesign #presentations #StorytellingwithData These are takeaways from this book. Firstly, Start with the message and the audience, A central theme is that effective data visualization begins before you open a charting tool. The book encourages defining the purpose of the communication, identifying the decision or action you want, and tailoring the message to the audience. In a business context, the same analysis can be framed differently for an executive, a marketing lead, or an operations team because each group has different priorities, constraints, and domain knowledge. Knaflic highlights the value of choosing what to include and what to leave out, so the visual supports a single, coherent point instead of becoming an everything chart. This topic also covers how to provide the right context: why the metric matters, what time frame is relevant, and what comparisons will make the insight meaningful. By thinking in terms of narrative, you set up a logical flow where the audience can follow the problem, evidence, and implication. The result is a visualization that serves as an argument, not just a display. This approach helps reduce misinterpretation and speeds alignment because viewers understand not only what the numbers are, but why they matter now. Secondly, Choose the right visual and eliminate clutter, The book emphasizes selecting chart forms that match the relationship you want to show, such as comparison, change over time, distribution, or parts of a whole. Rather than relying on default settings, it promotes thoughtful design choices that increase clarity. A major focus is decluttering: removing or minimizing elements that do not add information, like excessive gridlines, heavy borders, redundant labels, distracting legends, and unnecessary 3D effects. Knaflic discusses the idea of cognitive load and how small design choices can either help the viewer see the point quickly or force them to work too hard. Simplification does not mean stripping away meaning, but prioritizing what supports comprehension. This topic also addresses when tables are better than charts, and how to use white space and alignment to create visual order. By reducing noise, you make room for the signal, which sets the stage for intentional emphasis later. For business professionals, this translates to charts that are easier to read on slides, clearer in emailed updates, and more credible in formal reporting because the design looks deliberate and focused. Thirdly, Direct attention with preattentive attributes, A standout contribution of the book is its practical explanation of how to guide what viewers notice first. It introduces preattentive attributes, visual properties the brain processes rapidly, such as position, length, color intensity, and size. By understanding these mechanisms, you can design charts that naturally lead the audience to the key insight without requiring extra explanation. The book advocates using contrast intentionally: de emphasize most elements in muted tones while highlighting the one series, category, or data point that matters. This technique is especially helpful when presenting...