Kavitha Ranganathan - Impactful Data Visualization: Hide and Seek with Graphs
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Bringing a clear classroom teaching style, which has helped hundreds of data wranglers, to this book, the author walks you through the myriad ways that graphs can mislead, helping to spot visualization traps and prevent misinterpretations. She illustrates core design principles for creating truthful and effective data visualizations, assisting you to master the art and science behind creating impactful and accurate graphs.
Packed with examples to clearly explain the dos and donts of data visualization and backed by empirical research, this book will transform the way you create and analyse graphs and charts.
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SAGE was founded in 1965 by Sara Miller McCune to support the dissemination of usable knowledge by publishing innovative and high-quality research and teaching content. Today, we publish over 900 journals, including those of more than 400 learned societies, more than 800 new books per year, and a growing range of library products including archives, data, case studies, reports, and video. SAGE remains majority-owned by our founder, and after Saras lifetime will become owned by a charitable trust that secures our continued independence.
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Hide and Seek with Graphs
- KAVITHA RANGANATHAN
Copyright Kavitha Ranganathan, 2022
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage or retrieval system, without permission in writing from the publisher.
First published in 2022 by
SAGE Publications India Pvt Ltd
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Typeset in 11.5/14.5pt Bembo by Fidus Design Pvt Ltd, Chandigarh.
Library of Congress Control Number: 2022942240
ISBN: 978-93-5479-555-8 (ePub)
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It takes a village to raise a child and it took a network of family and friends to write this book. I would first like to thank the folks at SAGEManisha, Neena and Sandhya for their prompt and committed presence through the whole publishing process. I am also grateful to all the participants in my classroom, across the years. Your enthusiasm for the subject and encouraging feedback (sometimes years later) helped create and shape the book.
This book was chiefly written during the pandemic, with two kids at home trying to attend online school and two adults trying to work and an ebullient puppy trying very hard to contribute by jumping on the laptops keypad repeatedly. The manuscript was my safe space and anchor that I could go back to repeatedly, when the outside world seemed to be crumbling around us. There were numerous occasions when the writing came to a stand-still due to unforeseen emergencies unfolding and I have Akshaya, Divya and Pritha to thank for their gentle prodding about the progress, which would guilt me into jumpstarting the writing again.
My loving extended family in Bangalore, Jamshedpur and Singapore helped with so much enthusiasm whenever I needed their inputs. I owe a lot to all of them, including little Zoya the youngest, who cheers us all up with her radiant bounciness. Papa and Mummy were steadfast supporters of this project, having gone through book projects of their own and knowing the grind involved to see one through. The first four graphs you see in this book were tested on my mother and the idea for the title came from my sister (along with a host of other very innovative title ideas from both, its a pity I had to choose only one). Thank you both for your shining presence. My dad has been a rock through all the ups and downs in my life and I owe my persistence and stubborn resilience to him.
Thank you Adya and Avital for your patience. Your mom was often lost in formulating passages for the book and would stare blankly at you when you tried to get her attention. Finally, and most importantly, thank you Ankur for your steadfast support and love through the whole process. I owe my adventures in Data Visualization and much more to you.
Let us start with the obvious. We are surrounded by data. We as a generation are neck deep in data and are trying hard to stay afloat in this ocean we ourselves have carefully generated, recorded and are trying hard to leverage. From organizations which strive to be data-driven and students who want to specialize as data scientists to politicians who try to use big data to swing elections and school administrators who collect data to identify effective teachers, the lure of the power of data is widespread. Of course, the crucial link to being able to leverage all the data we diligently collect is to be able to make sense of it or, in other words, convert the data into meaningful information which can be used.
Data visualization is increasingly seen as an effective tool to both make sense of data and communicate insights gleaned from this data to your audience. Traditionally, this audience might have been the CEO of a company listening to a presentation on the companys performance in the last quarter or a physicist reading a journal article about the latest particle physics experimental results. However, today, the audience for data visualization could be almost anyone. It could be a cricket fan trying to understand the batting performance of their favourite player on a sports web portal or a parent trying to decipher their childs board exam results as reported in the marksheet vis--vis the national performance. Data visualization (commonly called charts or graphs) works at an intuitive level and has the ability to take a bunch of seemingly meaningless numbers and convert them into a meaningful insight. This in essence is the power of a good graph. A visualizations ability to convey an insight from a collection of numbers is far greater than say a corresponding table of numbers and is universal in its appeal. This, to a large extent, explains why charts and graphs can be found in use in a variety of contexts and scenarios today.
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