Data Wrangling with JavaScript
Language: English
Published by Manning Publications, US, 2019
- Softcover
- New

Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
US$ 51.53
Quantity: 10 available
Add to basketItem description from seller
With a growing ecosystem of tools and libraries available, and the flexibility to run on many platforms (web, desktop and mobile), JavaScript is a terrific all-round environment for all data wrangling needs! Data Wrangling with JavaScript teaches readers core data munging techniques in JavaScript, along with many libraries and tools that will make their data tasks even easier. Key Features · How to handle unusual data sets · Cleaning and preparing raw data · Visualizing your results Audience Written for developers with experience using JavaScript. No prior knowledge of data analytics is needed. Author Bio Ashley Davis is a software developer, entrepreneur, writer, and a stock trader. He is the creator of Data-Forge, a data transformation and analysis toolkit for JavaScript inspired by Pandas and Microsoft LINQ.
Seller Inventory # LU-9781617294846
- Title
- Data Wrangling with JavaScript
- Author
- Ashley Davis
- Publisher
- Manning Publications, US
- Publication year
- 2019
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1617294845
- ISBN 13
- 9781617294846
- Item weight
- 742 grams
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.
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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