"JavaScript is the language of the web. Originally developed for making browser-based interfaces more dynamic, it is now used for large-scale software projects of all kinds, including scientific visualization tools and data services. However, most researchers and data scientists have little or no experience with it. This book is designed to fill that void. It introduces readers to JavaScript's power and idiosyncrasies, and guides them through the key features of the modern version of the language and its tools and libraries. The book places equal focus on client- and server-side programming, and shows readers how to create interactive web content, build and test data services, and visualize data in the browser"--
This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how you can make the most of this library to develop datadriven applications. The book starts with an introduction to ...
About the Book Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage!
The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow.
With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based ...
This is done by providing the reader with real-world examples of how a variety of different JavaScript and PHP based libraries can be used to gather data using custom feedback forms and embedded data gathering tools.
In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job.
correcting errors early Cortez, P. countPerMed variable Coursera CPU compressed data CPU starvation create statement, Cypher createNum() function CreateTable() function, 2nd Crossfilter.js library overview setting up dc.js application ...
JavaScript and jQuery for Data Analysis and Visualization: Enables you to create best-of-breed visualizations using the preferred web programming language Provides in-depth information about core JavaScript and jQuery libraries used for ...
What You Will Learn Understand the Roslyn Syntax API Use Data Visualization techniques to assist code analysis process visually Code health monitoring matrices (from the standard of Code Query Language) Code mining techniques to identify ...
In Part Two, you will learn how to use D3.js to create the best charts and layouts. Uniquely, this book intertwines the technical details of D3.js with practical topics such as data journalism and the use of open government data.