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Data Wrangling with JavaScript

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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.

Author(s): Ashley Davis
Edition: 1
Publisher: Manning Publications
Year: 2019

Language: English
Commentary: True PDF
Pages: 430
Tags: Data Analysis; Regression; JavaScript; Asynchronous Programming; Data Visualization; MySQL; MongoDB; Reliability; Monitoring; Stream Processing; JSON; CSV; Data Cleaning; Node.js; D3.js; Time Series; Data Wrangling; Reports; Data Pipeline

Chapter 1 Getting Started: Establishing Your Data Pipeline
Chapter 2 Getting Started With Node.Js
Chapter 3 Acquisition, Storage, And Retrieval
Chapter 4 Working With Unusual Data
Chapter 5 Exploratory Coding
Chapter 6 Clean And Prepare
Chapter 7 Dealing With Huge Data Files
Chapter 8 Working With A Mountain Of Data
Chapter 9 Practical Data Analysis
Chapter 10 Browser-Based Visualization
Chapter 11 Server-Side Visualization
Chapter 12 Live Data
Chapter 13 Advanced Visualization With D3
Chapter 14 Getting To Production
Appendix A JavaScript cheat sheet
Appendix B Data-Forge cheat sheet
Appendix C Getting started with Vagrant