Data Wrangling with JavaScript
ISBN-13:
9781617294846
ISBN-10:
1617294845
Edition:
First Edition
Author:
Ashley Davis
Publication date:
2018
Publisher:
Manning
Format:
Paperback
432 pages
Category:
Data Mining
,
Databases & Big Data
,
Data Warehousing
,
Data Processing
,
Programming Languages
FREE US shipping
Book details
ISBN-13:
9781617294846
ISBN-10:
1617294845
Edition:
First Edition
Author:
Ashley Davis
Publication date:
2018
Publisher:
Manning
Format:
Paperback
432 pages
Category:
Data Mining
,
Databases & Big Data
,
Data Warehousing
,
Data Processing
,
Programming Languages
Summary
Data Wrangling with JavaScript (ISBN-13: 9781617294846 and ISBN-10: 1617294845), written by authors
Ashley Davis, was published by Manning in 2018.
With an overall rating of 4.4 stars, it's a notable title among other
Data Mining
(Databases & Big Data, Data Warehousing, Data Processing, Programming Languages) books. You can easily purchase or rent Data Wrangling with JavaScript (Paperback) from BooksRun,
along with many other new and used
Data Mining
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.8.
Description
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
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
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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