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Blog postJanuary’s #SWDchallenge was a fun one: apply data visualization principles to your professional resume. The results were impressive, but most importantly, they sparked many insightful discussions about the use of graphic resumes, including: identifying audiences that might respond well to a non-traditional resume; decidin
1 week ago Read more -
Blog postToday’s post is a tactical one for folks creating visuals in Excel: how to embed labels for your data series in your graphs, instead of relying on default Excel legends.
To illustrate, let’s look at an example from storytelling with data: Let’s Practice!. The graph below shows demand and capacity (in project hours) over time.
2 weeks ago Read more -
Blog postThe following is a guest post from Charles Saulnier. Charles completed every #SWDchallenge last year—a rare achievement! To see examples of Charles’ creations, check out his community gallery and follow him on Twitter. Keep reading to learn about how Charles brought the
2 weeks ago Read more -
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Blog postHere at storytelling with data, we are big advocates for starting out with low tech materials before building a final product. White boards, sticky notes, big sheets of paper—all of these are quick and easy for getting a project started. You can experiment, plan out your communication, and consider lots of alternatives b
3 weeks ago Read more -
Blog postConsider the above illustration of two data visualizations.
A histogram is on the left, and to the right is a bar chart (also known as a bar graph). Histograms and bar charts look almost identical, yet they are dramatically different. Understanding their differences is important, so you know when to use each one and accur
1 month ago Read more -
Blog postSubmissions from Dec 2020 SWDchallenge: critique, then re-create
Recently, SWD has had makeovers on the brain. We launched a new makeover page full of tips and examples of effective data storytelling and we’re gearing up for another year of customized workshops, where
1 month ago Read more -
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Blog postThe onset of a new year is a great time to pause, reflect, and plan. Reflect on the path you’ve taken to get where you are. Give thought to the past crazy year and all you accomplished in spite of it. Look forward to the coming year and consider how you want to spend your time, energy, and focus.
To help with this and perh
1 month ago Read more -
Blog postToday’s post is the final installment in our series of five questions to ask yourself when designing a graph for explanatory purposes. Recall our journey started with this visual which was ripe for improvement:
In the previous posts, we improved it by decluttering, desig
1 month ago Read more -
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Blog postWelcome back to our journey of five questions to ask yourself when designing a graph for explanatory purposes. So far, we’ve addressed three of the five: decluttering, intentional use of color and, in yesterday’s post how different graphs enable us to see different things:
2 months ago Read more -
Blog postToday’s post is the third installment of this series: five questions to ask yourself when designing a graph for explanatory purposes. First, we looked at the power of decluttering; then, in yesterday’s post, we applied color thoughtfully:
Today’s question is all about first
2 months ago Read more -
Blog postWelcome back to our journey of five questions to ask yourself when designing a graph for explanatory purposes. In yesterday’s post, we saw the importance of stripping away non-essential elements so that the data takes center stage.
Today we’ll further improve by evaluatin
2 months ago Read more -
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Blog postAs we share what we’ve learned—and continue to learn—on how to bring data to life, we recently added a new makeover page, which illustrates concrete tips with real-world examples. On the topic of makeovers, today’s post kicks off a week-long series of five questions to ask yourself when designing a graph for explanatory purposes. Each day will be dedicated to one question. Devoting time holistically to these components will improve your value as a data communicator.
Before we get2 months ago Read more -
Blog postThe following is a guest post from Pris Lam. Pris is a regular contributor to the #SWDchallenges and the Tableau community. To see examples of Pris’ creations, check out her community gallery and her website. Keep reading to learn about how Pris broke into the data visua
2 months ago Read more -
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Blog post“Visual resume” results from Google image search
The new year is a great time to reflect on accomplishments and acquired skills, set new goals, and even dust off our resumes.
One benefit of honing your data communication skills is that they are completely transferable.
2 months ago Read more -
Blog postFrom all of us at storytelling with data: we wish you and your loved ones peace and joy this holiday season.
It has been quite a year. I look back with gratitude and forward with optimism. I am particularly thankful for the awesome team of people with whom I get to work, th
2 months ago Read more -
Blog postI thought I’d share with you an interesting topic that came up in a recent workshop. We were discussing the following monthly time-series chart, where the time component is listed diagonally along the x-axis.
We chatted about the challenges of using diagonal text—mainly t
2 months ago Read more -
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Blog postThis article is part of our back-to-basics blog series, what is…?, where we break down common topics and questions posed to us. We’ve covered much of the content in previous posts, so this series allows us to bring together many disparate resources, creating a single source for your learning. We believe it’s important to
3 months ago Read more -
Blog postLast month, we challenged our community to tell the story behind the story—instead of relying on possibly misleading summary statistics to communicate a message, we asked to see a visual that would explain the components of change. Three dozen of our members answered the call, contributing a fascinating array of stories a
3 months ago Read more -
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Blog postHave you ever looked at a graph and thought, “I’d love to rework that!”? If so, this month’s challenge is for you. You’ll have the opportunity to critique and then improve a confusing visual.
First, let me share some thoughts on the importance of crafting thoughtful critique before diving into a remake. In our workshops, we see firsthand how animated people become when presented with someone else’s graph—it’s easy to point out what we would do differently, or what’s “wrong” with others3 months ago Read more -
Blog postLast month we had Halloween on the brain, so we challenged you to tackle a chart-related fear by creating a “xenograph”—an unfamiliar chart. The xenographics challenge was one of my favorites to explore—so many novel and intriguing visuals. As I browsed all of the entries, I was a little surprised at just how much variety
3 months ago Read more
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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. 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.
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. 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. Specifically, you'll learn how to:
- Understand the importance of context and audience
- Determine the appropriate type of graph for your situation
- Recognize and eliminate the clutter clouding your information
- Direct your audience's attention to the most important parts of your data
- Think like a designer and utilize concepts of design in data visualization
- Leverage the power of storytelling to help your message resonate with your audience
Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Influence action through data!
This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller.
Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes:
● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation
● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions
● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact
The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!
——Google人力營運部資深副總裁狂推
上市即登Amazon資訊管理類TOP1,讀者5顆星★★★★★強推!
Google最熱門內部訓練,
摩根大通、比爾蓋茲基金會、eBay、Adobe、Amazon都搶著學!
Google必修的簡報圖表術首度大公開,教你將:
不知所云、眼花冗長的圖表→打動聽眾、說服所有人的好故事
曾任Google人力分析團隊總監6年的柯爾・諾瑟鮑姆・娜菲克,負責協助分析團隊和Google其他部門的溝通,接收到的業務訊息都是最棘手、最難處理的資訊,而她一向都能用這些資訊製造出最洗鍊、最好吸收的圖像,並用最有說服力的方式來說故事。她為Google開發出一套資料視覺化的訓練課程,不僅教全體Google人,還曾至各地開課五十次以上。
柯爾所提出的「別跟著流行走」(刪減花稍的過場動畫、圖像和文字,以訊息為中心)、「簡潔才是王道」(簡報的重點是清晰易懂的故事,而非漂亮的數據圖)等,都是她的名作。
最後,她決定至各地教學及寫作,完成自己「消滅全世界爛PPT」的偉大使命。從這本書裡可以學到:
‧搞懂簡報的條理
→搞清楚你的觀眾是誰?你希望他們知道什麼?希望他
L'obiettivo è andare oltre le possibilità degli strumenti di presentazione normalmente a disposizione, per arrivare alla radice dei dati e dare voce alle informazioni attraverso storie visive in grado di catturare il pubblico.
C'è una storia in ogni dato e questo libro aiuta a raccontarla, dimenticando per sempre la frustrazione causata dall'ennesimo grafico inefficace o la confusione generata dalle tremende torte 3D.
Quels que soient le domaine dans lequel nous travaillons ou la discipline que nous étudions, nous devons faire des présentations incluant des données. Or, qui ne s'est jamais senti submergé par un excès de données ou n'a jamais été confronté à des graphiques incompréhensibles ?
Datavisualisation offre une méthode simple et efficace pour faire des données un point captivant de nos présentations. Basé sur des concepts théoriques reconnus, largement illustré et accompagné d’exemples détaillés, cet ouvrage est accessible à tous et ne nécessite aucun logiciel perfectionné.
Combinez les forces du storytelling et des données chiff rées pour créer des présentations percutantes !
Vous apprendrez à :
• déterminer le type de graphique adapté à chaque situation ;
• mettre en valeur les données essentielles pour attirer l’attention ;
• utiliser les techniques du storytelling pour convaincre le public et faire résonner le message.
Ne vous contentez pas de montrer vos données, faites-les parler !