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