Storytelling con datos. Ejemplos prácticos.

by Cole Nussbaumer Knaflic

¡Influye en la acción a través de los datos!

Esto no es un libro, es una experiencia de aprendizaje inmersiva, única en su tipo, a través de la cual puedes convertirte en un poderoso narrador de historias con datos o enseñar a otros a serlo.
'Storytelling con datos. ¡Vamos a practicar!' genera la confianza que necesitamos para crear gráficos y visualizaciones convincentes para facilitar historias atractivas que inspiren a la acción. Este nuevo libro de Storytelling con datos ahonda en las lecciones del anterior superventas, a la par que ofrece contenido nuevo, gran cantidad de ejemplos y más de cien ejercicios prácticos. La autora y experta en storytelling, Cole Nussbaumer Knaflic, nos guía en el desarrollo de habilidades básicas para convertirnos en unos comunicadores de datos bien entrenados.

Cada capítulo incluye:

* Practica con Cole: donde plantea ejercicios basados en ejemplos de la vida real, a continuación, ilustra detalladamente su solución paso a paso.
* Practica por tu cuenta: que contiene más ejercicios y preguntas estimulantes, sin incluir la solución, con el objetivo de trabajar en ellos individualmente (o asignarlos a otros).
* Practica en el trabajo: aquí se incluye orientación y ejercicios prácticos para aplicar las lecciones en el trabajo, con instrucciones sobre cómo y cuándo recabar retroalimentación para conseguir mayor impacto.

Las lecciones y ejercicios de esta guía integral permiten dominar el arte de contar historias con datos (o desarrollarlo en otras personas) para que nuestro trabajo pase de aceptable a excepcional. Desarrollar estas habilidades en nosotros y en nuestros equipos nos permitirá narrar historias inspiradoras e influyentes.

Genres: Business, Nonfiction, Design, Technical, Technology, Computer Science, Communication

400 pages, Paperback

Published March 1, 2021

Reviews

[Eloisa Reads · Rating 5 out of 5]

My knowledge of art, design, and how to craft compelling stories pales in comparison to my technical knowledge. As a data scientist, I found the lessons in this book invaluable. No longer shall I waste endless hours toying /testing graph layouts, I now have a systematic approach to communicate results.

[GleeGMJournal · Rating 5 out of 5]

ahhhh this is such a good Data Visulization textbook!
This one was released after the 1st book "Storytelling with Data (2015)" and actually can read along with the first book as this book represents itself as a workbook. Though, I read it as a sequel due to finish the first book long time ago.

Each module has a clear explanation with cute graphic! and good exercises that help you practice along the way. Not only in theory, but the book also accentuates how to incorporate the principle in your workplace. How thoughtful!

For those who work in Data industry and want to craft a data visualization skill, I would say two books in this series is plentiful.

[Raka Adrianto · Rating 5 out of 5]

I read her first book without investing so much effort to test out the ideas prescribed or to write down again the takeaways. I guess it could be that there were no tangible exercises that I can play along while reading every chapter. But the second one (this book) is different. It can absolutely serve as a stand-alone book, which is filled with so many tips yet highly effective to make graphs clearer to general audience. Why makes graphs to sap readers' brain power, if it can be made simpler?

The gist:
- Decluttering charts should come as priority. The step-by-step in many chapters really help solidify understandings, especially when we need to present live or to annotate key points in the plot.
- story-telling to build tension. While business nowadays seeks high efficiency in its operations (meaning, presentation must cut to the chase), I find the story arc from into-build up-climax-cool down-and closure very eye opening. The applicability, however, is still a bit abstract for me (never done that intentionally for data-driven talks). Nonetheless, I think this idea could be the additional bullet to prepare during my presentation outlining phase.

Bravo to SWD team!

[Ngô Thị Ngát · Rating 4 out of 5]

Đây là cuốn thứ hai tớ mua của tác giả Cole
Bối cảnh tớ hồi ấy hình như suýt vào nhóm phân tích dữ liệu.
Thế là nghĩ mình cần giỏi hơn môn này.
Cái duyên nào đó dẫn tớ đến SWD cuốn 1
Sau này thực tế không làm công việc data nữa nhưng tớ gặp cuốn 2 của cô Cole trên tiki. Không ngần ngại đặt luôn vì chất lượng cuốn 1 làm mình rất tin tưởng.
Cuốn 2 này tập trung vào hướng dẫn người đọc cách thực hình tìm lỗi và cải tiến các vẫn đề rối rắm hay gặp phải
Xin cảm ơn cô Cole

[Maria · Rating 4 out of 5]

I really liked this book, probably because it felt like I had written she. She stood on all my soapboxes, including ones I've never heard mentioned in all the other data viz books I've read - you don't actually have to graph all your data! Think carefully about including elements, about color, about size! Prepare different visuals for a presentation (including building in) vs. a static paper! I also love the downloadable data.

[Yuanrou Lee · Rating 4 out of 5]

Great practical guide to apply swd concepts. Glean guidance on how to plan & conceptualise a story from data that leads to an action plan.

[QQ · Rating 5 out of 5]

Concrete and well organized.
demonstrate the concepts with clear examples, highly recommended.

[Anna · Rating 5 out of 5]

Excellent overview of data storytelling and best practices for data visualisation. Read this book for a class.

[Samuel Mills · Rating 5 out of 5]

This book creates the environment for practicing how to communicate stories using data. Extremely grateful for Cole's content and making storytelling accessible for everyone.

[Tian Foo Chou · Rating 4 out of 5]

I can understand why some colleges use this as infographics textbook/workbook. Solid framework illustrate ed with good examples and reinforced with open ended exercises. One takeaway that's ingrained with me after working through the book: very often, you can actually achieve much more with much less!