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Data Wrangling with JavaScript

List Price: $49.99
SKU:
9781617294846
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  • Product Details

    Author:
    Ashley Davis
    Format:
    Paperback
    Pages:
    432
    Publisher:
    Manning (December 17, 2018)
    Language:
    English
    ISBN-13:
    9781617294846
    ISBN-10:
    1617294845
    Weight:
    26.8oz
    Dimensions:
    7.38" x 9.25" x 0.9"
    File:
    Eloquence-SimonSchuster_08192026_P10502905_onix30-20260819.xml
    Folder:
    Eloquence
    List Price:
    $49.99
    Case Pack:
    22
    As low as:
    $44.99
    Publisher Identifier:
    P-SS
    Discount Code:
    G
    Pub Discount:
    37
    Imprint:
    Manning
  • Overview

    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

    1. Getting started: establishing your data pipeline
    2. Getting started with Node.js
    3. Acquisition, storage, and retrieval
    4. Working with unusual data
    5. Exploratory coding
    6. Clean and prepare
    7. Dealing with huge data files
    8. Working with a mountain of data
    9. Practical data analysis
    10. Browser-based visualization
    11. Server-side visualization
    12. Live data
    13. Advanced visualization with D3
    14. Getting to production