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Source Code Analytics With Roslyn and Javascript Data Visualization

Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source;

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Data Visualization with D3.js Cookbook

Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations;

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Pro Data Visualization using R and JavaScript

Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis;

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Beginning Data Science in R 4

. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for;

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Roslyn Cookbook

Use Roslyn as a service to write powerful extensions and tools and use them in Visual Studio to improve code quality and maintain your;

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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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Public Policy Analytics

outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and 'Planning' are one and;

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Public Policy Analytics

outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and 'Planning' are one and;

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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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Real-Time Analytics

background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this;

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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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Data Visualization

-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with;

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Data Visualization

with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Data Analytics and Visualization in Quality Analysis using Tableau

practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It begins with a;

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Python Data Analytics

Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image;

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Statistical Data Analytics

distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text;

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Data Wrangling with JavaScript

munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier. Key Features;

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Python for R Users

features and functions, including data input, data inspectiondata quality, data analysis, and data visualization. Statistical modeling, machine;

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Learning Kibana 5.0

-driven architecture and the Elastic stack * Build effective dashboards for data visualization and explore datasets with Elastic Graph * A;

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Data Visualization with D3 4.x Cookbook -

data visualizations with D3 4.x that take advantage of the latest capabilities of JavaScript. The book starts with the basic D3 structure and;

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Modeling Techniques in Predictive Analytics

model that data. You'll learn how to model data conceptually, with words and figures; and then how to model it with realistic R programs that;

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Learn D3.js

data-driven apps with JavaScript Build Real-time visualization and transition on web using SVG with D3.js Book DescriptionThis book is a;

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Visualizations and Dashboards for Learning Analytics

with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as;

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JavaScript for Data Science

of modern JavaScript; Covers programming with callbacks and promises; Describes how to build data services and data visualization;;

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JavaScript for Data Science

of modern JavaScript; Covers programming with callbacks and promises; Describes how to build data services and data visualization;;

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AWS Cert Data Analytics Study Guide with Online La bs (DAS-C01) Exam

services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection;

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