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

Basic concepts behind interactive computing in Dnotebook

In order to write interactive code/Markdown in Dnotebook, you need to understand some concepts such as cells and persistency/state. We start this section by explaining these concepts.

Cells

A cell in Dnotebook is a unit block where code or text can be written in order to be executed. The following is an example screenshot showing code and Markdown cells:

Figure 2.3 – Empty code and Markdown cells in Dnotebook

Each cell has edit buttons that can be used for different purposes, as you'll see in the following screenshot:

Figure 2.4 – Action buttons available in each cell

Now, let's understand what these buttons do:

  • Run: The Run button can be used to execute a cell in order to show the output.
  • Add Code: The add code button has two variants (up and down) specified by the arrow direction. They can be used to add a code cell above or below...