Fr. 50.90

Colorwise - A Data Storyteller's Guide to the Intentional Use of Color

English · Paperback / Softback

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Description

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"Data has become the most powerful tool in business today, and telling its story effectively is critical. Yet one of the best communicators--color--is the most neglected tool in data visualization. With this book, DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics. Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical resource explores color tips and tricks, including the theories behind them and why they work the way they do. ColorWise covers the psychology, history, and culture of many different colors. This book is also a useful teaching tool for learning about proper use of color for data storytelling techniques and dashboarding." -- Back cover.

About the author










Kate Strachnyi is the Founder of DATAcated, providing brand amplification for data companies. Kate has delivered several courses and presentations on data storytelling, dashboard techniques, and visual best practices. Additionally, Kate is the host of the DATAcated Conference (that gathers thousands of data professionals) and the DATAcated On Air Podcast. Kate was appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019. She's also the founder of the DATAcated Circle - a community for ALL data professionals to engage in discussions. The Circle is also a hub to receive training / educational resources on data visualization best practices. She's the mother of two girls and enjoys running ultra-marathons and obstacle course races.

Product details

Authors Kate Strachnyi, Kate Strachnyl
Publisher O'Reilly
 
Languages English
Product format Paperback / Softback
Released 29.12.2022
 
EAN 9781492097846
ISBN 978-1-4920-9784-6
Dimensions 106 mm x 230 mm x 13 mm
Weight 344 g
Subjects Natural sciences, medicine, IT, technology > IT, data processing > Application software

Information visualization, Graphical & digital media applications, Graphical and digital media applications, COMPUTERS / Data Science / Data Visualization, Data capture and analysis, Data Capture & Analysis

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