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

Creating bar charts with Danfo.js

A bar chart presents categorical data with rectangular bars where the lengths are proportional to the values that they represent.

The bar function can also be called on the plot namespace and various configuration options can also be applied. In the following sections, we'll demonstrate how to create bar charts from a Series as well as a DataFrame with multiple columns.

Creating a bar chart from a Series

To make a simple bar chart from a Series, you can do the following:

var layout = { 
   title: "A simple bar chart on a series",
} 
var config = {  
  layout  
}  
new_df["AAPL.Volume"].plot(this_div()).bar(config)

Running the preceding code cell gives the following output:

Figure 6.19 – A bar chart on a Series

Looking at the preceding figure, you'll notice that we have a large number of bars. This is because the AAPL...