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 box and violin plots with Danfo.js

The box and violin plots are similar and will generally use the same parameters. So, we will cover them both in this section.

In the following examples, we will first make a box plot and then change it to a violin plot by changing only the plot type option.  

Making box and violin plots for a Series

To make a box plot for a Series or a single column in a DataFrame, first, we subset to get the Series, and then we'll call the plot type on it, as demonstrated in the following code snippet:

var layout = {
  title: "Box plot on a Series",
}
var config = {
  layout
}
new_df["AAPL.Open"].plot(this_div()).box(config)

Running the preceding code cell gives the following output:

Figure 6.9 – A box plot on a Series

Now, in order to change the preceding plot to a violin plot, you can just change the plot type to violin, as shown in the following snippet...