Book Image

Building Data-Driven Applications with Danfo.js

By : Rising Odegua, Stephen Oni
Book Image

Building Data-Driven Applications with Danfo.js

By: Rising Odegua, Stephen Oni

Overview of this book

Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications. Starting with an overview of modern JavaScript, you’ll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You’ll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you’ll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand 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, Next.js, node-nlp, and Twit.js. By the end of this app development 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.
Table of Contents (18 chapters)
1
Section 1: The Basics
3
Section 2: Data Analysis and Manipulation with Danfo.js and Dnotebook
10
Section 3: Building Data-Driven Applications

Chapter 8: Creating a No-Code Data Analysis/Handling System

One of the main purposes of creating Danfo.js was to easily enable data processing in the browser. This gives the ability to integrate data analysis and handling data seamlessly into web apps. Apart from the ability to add data handling to a web app, we have the tools to make data handling and analysis look more like what designers do when they use Photoshop and Figma; how they mix brush strokes together on the canvas just with a click or how they manipulate images by laying a canvas on top the canvas, just by dragging and dropping and with some button clicks.

With Danfo.js, we can easily enable such an environment (using tools such as React.js and Vue.js) where data scientists become artists maneuvering their way through data with a few clicks of a button and getting the desired output without actually coding anything.

A lot of tools with such features commonly exist, but the cool thing about Danfo.js is building the...