Preface

Most data analysts use Python and pandas for data processing and manipulation thanks to the convenience and performance that these libraries provide. However, JavaScript developers have always wanted machine learning (ML) to be possible in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how you can make the most of this library to develop data-driven applications.

The book starts with an introduction to JavaScript concepts and modern JavaScript. You'll then cover data analysis and transformation with Danfo.js and Dnotebook, which is an interactive computing environment for JavaScript. After that, the book covers how to load different types of datasets and analyze them by performing operations such as handling missing values, combining datasets, and string manipulations. You'll also focus on data plotting, visualization, data aggregation, and group operations by combining Danfo.js with Plotly. Later, you'll create a no-code data analysis and handling system with the help of Danfo.js. Then, you'll be introduced to basic ML concepts and how to use Tensorflow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js.

By the end of this book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.