使用 JavaScript 进行数据处理：技巧和工具

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"数据整理 JavaScript" 数据整理是数据科学的重要步骤之一，涉及到数据的采集、存储、处理和分析等多个方面。JavaScript 作为一种灵活、跨平台的编程语言，已经成为了数据整理的热门选择。"Data Wrangling with JavaScript" 一书旨在教读者使用 JavaScript 进行数据整理，包括数据采集、存储、处理和分析等方面的技术。在这本书中，读者将学习到核心的数据整理技术，如数据采集、数据存储、数据处理和数据分析等。书中还将介绍多种 JavaScript 库和工具，以帮助读者更方便地完成数据任务。书的目录包括： * 第 1 章：建立数据管道 * 第 2 章：使用 Node.js * 第 3 章：数据采集、存储和检索 * 第 4 章：处理非典型数据 * 第 5 章：探索性编码 * 第 6 章：数据清洁和准备 * 第 7 章：处理大型数据文件 * 第 8 章：处理大量数据 * 第 9 章：实际数据分析 * 第 10 章：基于浏览器的可视化 * 第 11 章：基于服务器的可视化 * 第 12 章：实时数据 * 第 13 章：使用 D3 进行高级可视化 * 第 14 章：将数据推送到生产环境 * 附录 A：JavaScript备忘录 * 附录 B：Data-Forge 备忘录 * 附录 C：使用 Vagrant 入门通过学习这本书，读者将掌握使用 JavaScript 进行数据整理的技能，从数据采集到数据分析和可视化。同时，读者还将了解到多种 JavaScript 库和工具，以帮助他们更方便地完成数据任务。在数据科学领域，数据整理是一个非常重要的步骤，它涉及到数据的采集、存储、处理和分析等多个方面。使用 JavaScript 进行数据整理可以提高工作效率和数据质量。此外，本书还讨论了数据可视化的重要性，包括基于浏览器和基于服务器的可视化技术。读者将学习到使用 D3 等库进行高级可视化，以便更好地展示数据 insights。这本书是数据科学爱好者和专业人士的必备参考书籍，帮助他们掌握使用 JavaScript 进行数据整理的技能。

preface

Data is all around us and growing at an ever-increasing rate. It’s more important than

ever before for businesses to deal with data quickly and effectively to understand their

customers, monitor their processes, and support decision-making.

If Python and R are the kings of the data world, why, then, should you use JavaScript

instead? What role does it play in business, and why do you need to read Data Wrangling

with JavaScript?

I’ve used JavaScript myself in various situations. I started with it when I was a game

developer building our UIs with web technologies. I soon graduated to Node.js back-

ends to manage collection and processing of metrics and telemetry. We also created

analytics dashboards to visualize the data we collected. By this stage we did full-stack

JavaScript to support the company’s products.

My job at the time was creating game-like 3D simulations of construction and engi-

neering projects, so we also dealt with large amounts of data from construction logistics,

planning, and project schedules. I naturally veered toward JavaScript for wrangling and

analysis of the data that came across my desk. For a sideline, I was also algorithmically

analyzing and trading stocks, something that data analysis is useful for!

Exploratory coding in JavaScript allowed me to explore, transform, and analyze my

data, but at the same time I was producing useful code that could later be rolled out

to our production environment. This seems like a productivity win. Rather than using

Python and then having to rewrite parts of it in JavaScript, I did it all in JavaScript. This

might seem like the obvious choice to you, but at the time the typical wisdom was telling

me that this kind of work should be done in Python.

Because there wasn’t much information or many resources out there, I had to learn

this stuff for myself, and I learned it the hard way. I wanted to write this book to document

what I learned, and I hope to make life a bit easier for those who come after me.

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SorelCheung

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