Data Wrangling in JavaScript

You've been there. You fetch data from an API and it comes back a mess. Fields are missing, formats are inconsistent, and nothing lines up the way it should. You spend more time fighting the data than actually using it.

That's exactly what this book is about.

Data Wrangling in JavaScript is a practical, no-fluff guide for developers who are tired of messy data slowing them down. Whether you're pulling from APIs, parsing CSV files, or trying to make sense of logs at 2am, this book gives you the tools and thinking to clean it up fast and move on.

You'll learn how to filter, reshape, and transform real-world datasets using JavaScript you already know, plus modern features like async/await and functional patterns that make your code cleaner and your workflow smoother. Every concept is tied to real projects, not toy examples.

This isn't a data science textbook. It's a developer's survival guide for the messy, unpredictable data world we actually work in.

What you'll learn:

• Cleaning and transforming real-world datasets in JavaScript
• Working with JSON, CSV, and API data sources
• Building reusable data pipelines
• Functional programming techniques for data processing
• Handling large datasets efficiently in Node.js
• Practical case studies and real-world projects

By the end, you won't just handle data. You'll own it.

Grounded, conversational, and written like a developer talking to another developer.