Data Wrangling with JavaScript

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 data
• Interactive visualizations with D3

about the reader

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

about the authors

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.

A thorough and comprehensive step-by-step guide to managing data with JavaScript.

Do you still think that you need R and Python skills to do data analysis? This mind-shifting book explains that JavaScript is enough!

Does a fantastic job detailing the wrangling process, the tools involved, and the issues and concerns to expect without ever leaving the JavaScript domain.

Excellent real-world examples for full-stack JavaScript developers.