EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Wrangling With Javascript First Edition Ashley Davis

SKU: BELL-55872574

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

96 reviews

Data Wrangling With Javascript First Edition Ashley Davis instant download after payment.

Publisher: Manning Publications

File Extension: PDF

File size: 13.55 MB

Pages: 432

Author: Ashley Davis

ISBN: 9781617294846, 1617294845

Language: English

Year: 2018

Edition: First Edition

Product desciption

Data Wrangling With Javascript First Edition Ashley Davis by Ashley Davis 9781617294846, 1617294845 instant download after payment.

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. "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.