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Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist
Why are Hans Rosling’s charts so good, but Excel charts are often not?
Why does SpaceX use pies, and BlueOrigin bar charts?
What is the narrative behind the Brexit bus?
In this book, you will learn these and how to visualize the fascinating topics of gender equity, inclusion, income and age bias. What is the role of a narrative in a chart? The foundations of storytelling? and what is the relation between data, information, and knowledge.
The author brings together concepts from design thinking, data science and strategy to take the reader on a journey where the destination is great visual storytelling. Whether you are an MBA candidate, a strategy consultant or an aspiring entrepreneur, this book explains the foundations to build meaningful visuals.
Designed as a series of Socratic exercises for a data visualization course, whether you are preparing visuals with Excel, SPSS or Tableau this book is for you. No data skills or Math knowledge required.
Based on the same author’s award-winning “How to Storytell the Kaggle 2018 Survey�, and the workshop “Visualization & Storytelling� presented at the 20th Annual International Conference on Digital Government Research (pp. 532-533); this book will change the way you think about the power of visual thinking. Comments from readers:
“MBAs are going to Love it!� � Ricardo Braganza.
“I am on fire. I am going to send a copy of the book to everyone in the Advanced Analytics dept.� � HR manager at a consulting company.
Why does SpaceX use pies, and BlueOrigin bar charts?
What is the narrative behind the Brexit bus?
In this book, you will learn these and how to visualize the fascinating topics of gender equity, inclusion, income and age bias. What is the role of a narrative in a chart? The foundations of storytelling? and what is the relation between data, information, and knowledge.
The author brings together concepts from design thinking, data science and strategy to take the reader on a journey where the destination is great visual storytelling. Whether you are an MBA candidate, a strategy consultant or an aspiring entrepreneur, this book explains the foundations to build meaningful visuals.
Designed as a series of Socratic exercises for a data visualization course, whether you are preparing visuals with Excel, SPSS or Tableau this book is for you. No data skills or Math knowledge required.
Based on the same author’s award-winning “How to Storytell the Kaggle 2018 Survey�, and the workshop “Visualization & Storytelling� presented at the 20th Annual International Conference on Digital Government Research (pp. 532-533); this book will change the way you think about the power of visual thinking. Comments from readers:
“MBAs are going to Love it!� � Ricardo Braganza.
“I am on fire. I am going to send a copy of the book to everyone in the Advanced Analytics dept.� � HR manager at a consulting company.
137 pages, Kindle Edition
Published July 29, 2019
283 people are currently reading
151 people want to read
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Displaying 1 - 8 of 8 reviews
January 3, 2022
If you are interested in how the way we represent data can impact how people perceive that data, or if you want an introduction in how to create a story from a narrative, this book may be a good option. I specially liked the wide variety of examples in which the author demonstrates the concepts shown on the book (special mention to the bias section).
Also, it was very interesting to see a roadmap of other books at the end of the book, with recommendations on what to read next if you liked the several topics introducted in this book.
A very interesting book.
Also, it was very interesting to see a roadmap of other books at the end of the book, with recommendations on what to read next if you liked the several topics introducted in this book.
A very interesting book.
January 1, 2020
This is a concise and easy to read book that appeals directly to the novice and advanced analyst alike. In a day where sexism and prejudice are still rife in data visualisation this book stands apart and addresses the issue head on. It’s beautifully written and packed full of clear explanations and examples. The interactive activities are a fabulous idea which really draw the reader to fully engage with the authors teachings. I came away from this book with a much better understanding of data visualisation and crucially, storytelling. It really is a must read.
November 17, 2020
The paperback edition is a data visualization book with monochrome print where charts are supposed to be multicolored according to the chart explanation in the book. There are even typos within the book.
Poor printing and an unsuitable size for the content.
The only new addition to the data visualization context by this book is the last chapter about detecting bias. Apart from that, there is nothing new and the rest has poor content.
Poor printing and an unsuitable size for the content.
The only new addition to the data visualization context by this book is the last chapter about detecting bias. Apart from that, there is nothing new and the rest has poor content.
February 12, 2021
Three stars because it is as good as the title says: introduction. It is designed for newbies to get as many takeaways as possible. However, it also sacrifices structured approach commonly used by reference books. Fortunately, this book provides set of what books to read next. That's what the best intro does.
February 15, 2024
3/5.
This book was... okay? Odd? It had a bunch of tips for data visualization. Some of them were very intuitive. Some of them felt so niche that you needed to know so much about data and data visualization/analytics beforehand (which, surprise, I don't). And then the last 30 pages had a bunch of early 2010's memes thrown on top of graphs???
This book was... okay? Odd? It had a bunch of tips for data visualization. Some of them were very intuitive. Some of them felt so niche that you needed to know so much about data and data visualization/analytics beforehand (which, surprise, I don't). And then the last 30 pages had a bunch of early 2010's memes thrown on top of graphs???
July 22, 2021
Oh Yes
An accessible primer on the theory and practice of data science. The authors even managed to generate a bit of respect for the grey harridan.
Read it , highlight it refer to it.
An accessible primer on the theory and practice of data science. The authors even managed to generate a bit of respect for the grey harridan.
Read it , highlight it refer to it.
February 4, 2021
There are a few takeaways but overall isn't super helpful to me.
April 19, 2020
Begin to understand charts
It is a great book to understand the basic of data visualization and how to use data to create knowledge to develop wisdom so that the reader could understand and apply what you are trying to say.
It is a great book to understand the basic of data visualization and how to use data to create knowledge to develop wisdom so that the reader could understand and apply what you are trying to say.
Displaying 1 - 8 of 8 reviews
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