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Cover of QuickStart Guide to (Ultra-)High Performance Visualizations FROM THE BOOK CATALOGUE

Computers & Technology

QuickStart Guide to (Ultra-)High Performance Visualizations

By Kenwright

Build visualizations that scale with your data—and your ambition.

WHAT THE PUBLISHER HIGHLIGHTS

  • Create scalable, interactive visualizations.
  • Handle massive datasets with high performance rendering.
  • Use visualization to uncover insights and tell stories.

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Catalogue reference: 7a9d68da7ff2fd66

INSIDE THE BOOK

About this book

This guide shows how to create ultra high performance visualizations that handle massive datasets with ease. From scientific research to business intelligence, learn how to build interactive, real-time visuals that reveal patterns, trends, and insights. With practical examples and performance tips, this book is ideal for developers, analysts, and data scientists.

From the publisher’s description

  • Create scalable, interactive visualizations.
  • Handle massive datasets with high performance rendering.
  • Use visualization to uncover insights and tell stories.
  • Accelerate decision-making with real-time data views.

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ANOTHER PERSPECTIVE

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Reader review5

Outstanding introduction

The clearest explanation of data visualization I have come across.

I had been on the fence about this one for a while, and I should have bought it sooner. I found myself making notes in the margins, which is always a good sign. The index and cross-references are surprisingly good, which matters for a book I will come back to. Some of the material is available elsewhere, but rarely presented this clearly. One of those books that pays for itself within the first few chapters. Highly recommended.

Sam PerezProduct designer · São Paulo, BR
QuickStart Guide to (Ultra-)High Performance Visualizations
Reader review2

Did not live up to the description

Hard to recommend. The examples assume too much and explain too little.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. Some terminology is introduced without much ceremony; I had to look a few things up along the way. I particularly liked the way the author builds up from simple cases before introducing the harder material. The index and cross-references are surprisingly good, which matters for a book I will come back to. Two stars. The subject deserves a better treatment than this.

Charlotte MitchellSelf-taught developer · Bristol, UK
QuickStart Guide to (Ultra-)High Performance Visualizations

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