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

Setting up the project environment

For this project, we will build a single web page with both a backend and a frontend. We will be using the Next.js framework to build the app. Next.js makes it possible for you to build the backend and frontend quickly and easily. We will also make use of tailwindcss, as we have done for some of our previous projects, such as the no-code environment project.

To set up our project environment with Next.js containing the default tailwindcss configuration, all we need to do is run the following command:

$ npx create-next-app -e with-tailwindcss twitterdashboard

The npx command runs create-next-app, which creates Next.js boilerplate code, including the tailwindcss configuration in the twitterdashboard directory. Note that the twitterdashboard directory (also called project name) can be given any name of your choice. If everything is successfully installed, you should get the output shown in the following screenshot:

Figure...