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Data Visualization: a successful design process

Data Visualization: a successful design process

By : Andy Kirk
3.8 (17)
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Data Visualization: a successful design process

Data Visualization: a successful design process

3.8 (17)
By: Andy Kirk

Overview of this book

Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights locked away."Data Visualization: a Successful Design Process" explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.You'll never again settle for a default Excel chart or resort to "fancy-looking" graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your "killer" visual representation to engage and inform your audience."Data Visualization: a Successful Design Process" will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.
Table of Contents (8 chapters)
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7
Index

Summary

This chapter has showcased a fairly comprehensive range of visualization chart types across a taxonomy of different methods.

These examples should be considered as representative of the majority of the relevant and popular approaches being used today. However, you should appreciate that this is not an exhaustive nor restrictive collection of options and does not cover all the derivatives that are possible.

The purpose of this chapter was to help you to understand the challenges and options involved in rationalizing your data representation solutions. Hopefully, the information provided about the relationship between the physicality of your data variables and the chart types that can accommodate them will give you a fast track solution.

Additionally, you may have learnt more about the different roles played by visual variables across these examples, and it may inspire you to have the confidence to consider constructing your own unique solutions.

From what we have covered in this chapter...

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