Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code
- Pickup from New Mail
- New Mail Courier
- Pickup from the store
- Other transport services
- Cash upon receipt
- Bank transfer
- Privat 24
- WebMoney
- Автор: Jack Dougherty | Ilya Ilyankou
- ISBN-10: 1492086002
- ISBN-13: 978-1492086000
- Edition: 1st
- Publisher: O'Reilly Media
- Publication date: May 18, 2021
- Language: English
- Dimensions: 6.9 x 1.1 x 9.1 inches
- Print length: 471 pages
From the brand
-
Databases, data science & more
Visit the Store
-
Sharing the knowledge of experts
O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.
Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.
From the Publisher
From the Preface
This introductory book teaches you how to tell your story and show it with data using free and easy-to-learn tools on the web. You’ll discover how to design interactive charts and customized maps for your website, beginning with easy drag-and-drop tools, such as Google Sheets, Datawrapper, and Tableau Public. You’ll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Follow along with the step-by-step tutorials, real-world examples, and online resources. This book is ideal for students, educators, community activists, nonprofit organizations, small business owners, local governments, journalists, researchers, or anyone who wants to tell their story and show the data. No coding experience is required.
As educators, we designed this book to be accessible for new learners, to introduce key concepts in data visualization and reinforce them with hands-on examples. We assume no prior knowledge other than a basic familiarity with computers and some vague memories of secondary school mathematics.
Audience and Overview
As educators, we designed this book to be accessible for new learners, to introduce key concepts in data visualization and reinforce them with hands-on examples. We assume no prior knowledge other than a basic familiarity with computers and some vague memories of secondary school mathematics. Based on feedback we received from an earlier draft, many readers across the globe have taught themselves with this book, and others educators are already using it as a textbook to teach their students.
Our subtitle, “Interactive Storytelling from Spreadsheets to Code,” reflects how the scope of the book progresses from strengthening basic skills to editing open source code templates, while continually maintaining our focus on telling true and meaningful data stories. We explain both the why and the how of visualization, and encourage critical thinking about how data is socially constructed and whose interests are served or ignored.
Unlike many computer books that focus on selling you a specific software application, this book introduces you to more than 20 different visualization tools, all of them free and easy to learn. We also offer guiding principles on how to make wise choices among digital tools as they continue to evolve in the future. By working through the sample datasets and tutorials, you will create more than a dozen different interactive charts, maps, and tables, and share these data stories with other readers on the public web.
Although our introductory book is comprehensive, we do not address certain advanced topics. For example, while we discuss ways to make meaningful data comparisons, we do not delve into the field of statistical data analysis. Also, we focus primarily on software tools with a friendly graphical user interface (GUI), rather than those that require you to memorize and enter command-line instructions, such as the powerful R statistics packages. Finally, while we teach readers how to modify HTML-CSS-JavaScript code templates with the Chart.js, Highcharts, and Leaflet libraries, we do not explore more advanced visualization code libraries, such as D3. Nevertheless, we believe that nearly everyone who reads this book will discover something new and valuable.