Data Wrangling with JavaScript (EPUB)

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Data Wrangling with JavaScript (EPUB)
Data Wrangling with JavaScript (EPUB) | English | ISBN: 9781617294846 | 432 pages | December 17, 2018 | EPUB | 21.23 MB

Summary

Data Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Why not handle your data analysis in JavaScript? Modern libraries and data handling techniques mean you can collect, clean, process, store, visualize, and present web application data while enjoying the efficiency of a single-language pipeline and data-centric web applications that stay in JavaScript end to end.

About the Book

Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! With this hands-on guide, you’ll create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies. You’ll also build interactive visualizations and deploy your apps to production. Each valuable chapter provides a new component for your reusable data wrangling toolkit.

What’s inside

Establishing a data pipeline
Acquisition, storage, and retrieval
Handling unusual data sets
Cleaning and preparing raw dataInteractive visualizations with D3
About the Reader

Written for intermediate JavaScript developers. No data analysis experience required.

About the Author

Ashley Davis is a software developer, entrepreneur, author, and the creator of Data-Forge and Data-Forge Notebook, software for data transformation, analysis, and visualization in JavaScript.

Table of Contents

Getting started: establishing your data pipeline
Getting started with Node.js
Acquisition, storage, and retrieval
Working with unusual data
Exploratory coding
Clean and prepare
Dealing with huge data files
Working with a mountain of data
Practical data analysis
Browser-based visualization
Server-side visualization
Live data
Advanced visualization with D3
Getting to production

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