Narrow Your Results
Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key Features • Discover the essential tools and methods of data visualization • Learn to use standard Python plotting...
Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book • This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease • It is rich with ample options and...
Breathe life into your data by learning how to use D3.js V4 to visualize information About This Book • Create complex visualizations powered by D3.js and open data. • Provides an extensive set of visualizations that explore all the functionality provided by D3.js V4. • Shows...
Master the art of building responsive visualizations on the Web About This Book Learn the techniques for building data visualizations that work well for all screen sizes Implement responsive techniques with popular libraries to get to grips with building responsive...
Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book • Learn how to set up an optimal Python environment for data visualization • Understand how to import, clean and organize your data • Determine...
Translate your data into info-graphics using popular packages in R About This Book • Use R's popular packages-such as ggplot2, ggvis, ggforce, and more-to create custom, interactive visualization solutions. • Create, design, and build interactive dashboards using Shiny • A highly practical...
Over 40 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL About This Book Get acquainted with a set of fundamental OpenGL primitives and concepts that enable users to create stunning visuals of arbitrarily complex 2D and 3D...
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
A practical and fast-paced guide that gives you all the information you need to start developing charts from your data.Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any...
Build powerful data analytics applications with this business intelligence tool and overcome all your business challenges Key Features *Master time-saving techniques and make your QlikView development more efficient *Perform geographical analysis and sentiment analysis in your QlikView applications...
Take your QlikView skills to the next level and master the art of creating visual data analysis for real business needs About This Book • Explore how to create your own QlikView data laboratory and how to develop QlikView applications using agile project methods • Implement advanced data...
Generate effective results in a variety of visually appealing charts using the plotting packages in Python About This Book • Explore various tools and their strengths while building meaningful representations that can make it easier to understand data • Packed with computational methods and...
A tutorial packed with practical examples and screenshots to help you become an expert in architectural visualization using Unity.This book is written for students and professional architects who know how to model buildings in 3D and have a need to turn their design into an interactive...
If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
Part I Fundamentals: 1.Introduction 2.Fluid Dynamics 3.Heat and Mass Transfer Fundamentals for Flow Visualization Part 2: 4.Liquids 5.Gases 6.Sparks Tracing and Electric Discharge 7.Surface Tracing Methods 8.Liquid Crystals 9.Tufts 10.Streaming Birefringence 11.Optical Deflectometry by...
Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features * Study and use Python interactive libraries, such as Bokeh and Plotly * Explore different visualization principles and understand when to...
Recipes that follow a problem-solution approach. It's a friendly, hands-on guide to creating visualizations with step-by-step instructions. This book is targeted at statisticians, analysts, and graphic designers with an interest in data visualization. The author does not presume any...
