Information visualization

Create stunning infographics with this hands-on guide Infographics For Dummies is a comprehensive guide to creating data visualization with viral appeal.

Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data?

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations?

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations?

Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively.

Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions.

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions.

With the tremendous growth and availability of the data, this book covers understanding the data, while telling a story with visualization including basic concepts about the data, the relationship and the visualizations.

With the tremendous growth and availability of the data, this book covers understanding the data, while telling a story with visualization including basic concepts about the data, the relationship and the visualizations.

Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks.

Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks.

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices.

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices.

Visual Ergonomics for Communication Design reveals the application of ergonomics principles in visual communication design.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

Data Analytics and Visualization in Quality Analysis using Tableau goes beyond the existing quality statistical analysis.

NB-IoT is the Internet of Things (IoT) technology used for cellular communication.

NB-IoT is the Internet of Things (IoT) technology used for cellular communication.

Although the web and online SAS(R) communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS.

Although the web and online SAS(R) communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS.

Computers, Commmunication, and Mental Models is a far-ranging, focused treatment of the cognitive and behavioural issues in computer-mediated communication, knowledge representation and computer-supported co- operative work.

Information Visualization in the Era of Innovative Journalism brings together over 30 authors from countries around the world to synthesize how recent technological innovations have impacted the development, practice and consumption of contemporary journalism.

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Shapes have been among man's fascinations from thestoneage to thespace age.

Spatial statistics empowers you to go beyond visual analysis to answer questions confidently and make data-driven decisions.

With Python, C++, FORTRAN, and a friendly conversational tone peppered with attempted humor, Modeling and Simulation of Everyday Things takes us on a journey through constructing models and simulations of systems and processes in everyday life and beyond.

This Fourth Edition of Cartography: Visualization of Geospatial Data serves as an excellent introduction to general cartographic principles.

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis.

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis.

In and out of formal schooling, online and off, today's learners must consume and integrate a level of information that is exponentially larger and delivered through a wider range of formats and viewpoints than ever before.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.

Praise for the First Edition"e;The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data.

Praise for the First Edition"e;The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data.

1.

There has been dramatic growth in the development and application of Bayesian inference in statistics.

R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry.

This richly illustrated book introduces the reader to a newly developed theory in Computer Vision yielding elementary techniques to analyze digital images.

This book is an example-based introduction to techniques, from elementary to advanced, of using Mathematica, a revolutionary tool for mathematical computation and exploration.

There can be no question, my dear Watson, of the value of exercise before breakfast.

This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods.