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Interactive Web-Based Data Visualization with R, plotly, and shiny

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive;

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Web Application Development with R Using Shiny -

data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here comes Shiny;

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Interactive Data Visualization with Python

Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features;

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Geospatial Health Data

geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and;

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Mastering Shiny

scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R;

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment;

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Data Visualization Python Javascript

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this;

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Mastering RStudio - Develop, Communicate, and Collaborate with R

Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations About This Book;

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Interactive Data Visualization for the Web An Introduction to Designing with D3

Create and publish your own interactive data visualization projects on the web-even if you have little or no experience with data;

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Learn D3.js

Explore the power of D3.js 5 and its integration with web technologies for building rich and interactive data visualization solutions Key;

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Interactive Dashboards and Data Apps with Plotly and Dash

Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards;

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Learn RStudio IDE

with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis;

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Learning Shiny

If you are a data scientist who needs a platform to show your results to a broader audience in an attractive and visual way, or a web;

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D3.js 4.x Data Visualization - Third Edition

Create and publish your own interactive and compelling data visualizations with D3.js 4.x About This Book * Build interactive and;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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Interactive GPU-based Visualization of Large Dynamic Particle Data

Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data;

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XML and Web Technologies for Data Sciences with R

Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and;

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Learning R Programming

Become an efficient data scientist with R About This Book * Explore the R language from basic types and data structures to advanced;

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Beginner's Guide to Streamlit with Python

learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you'll see;

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D3.js in Action

that empowers users to create scalable, data-driven graphics ranging from simple charts to fantastic interactive visualizations. Based on the;

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Displaying Time Series, Spatial, and Space-Time Data with R

improve graphics based on visualization theory * Provides the graphics, data, and R code on the author's website, enabling you to practice with;

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Hands-On Time Series Analysis with R

using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section;

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Web-based Virtual Environments for Decision Support in Water Based Systems

in order to assist the end user to achieve appropriate knowledge. Web-based interactive maps and construction of virtual environments are mainly;

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R Visualizations

graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be;

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R Visualizations

graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be;

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