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Building Data-Driven Applications with Danfo.js

Building Data-Driven Applications with Danfo.js

By : Odegua, Oni
3.8 (4)
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Building Data-Driven Applications with Danfo.js

Building Data-Driven Applications with Danfo.js

3.8 (4)
By: Odegua, 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)
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1
Section 1: The Basics
3
Section 2: Data Analysis and Manipulation with Danfo.js and Dnotebook
10
Section 3: Building Data-Driven Applications

Destructuring

Destructuring is an assignment syntax in JavaScript that makes it easy to unpack values from arrays, or properties from objects, into distinct variables. For example, in the following code snippet, we can easily unpack the values 20, John, Doe, and 2019 into specified variables:

let data2 = [20, "John", "Doe", "2019"];
let [ age1, firstName1, lastName1, year1] = data2

Destructuring makes it possible to assign the element of an array to a variable, unlike the old conventional method of accessing an array element as shown in the following code:

//Old method of accessing an array
let data = [20, "John", "Doe", "2019"];
 
let firstName = data[1];
let age = data[0];
let lastName = data[2];
let year = data[3];

Destructuring also works on objects, as shown in the following code:

let data3 = {
    age: 20,
    firstName: "john",
    lastName: "Doe",
    year: 2019
}
let { age2, firstName2, lastName2, year2 } = data3

In object destructuring, notice that we use {} instead of [], as used for arrays. This is because the type on the left-hand side must be the same as the type on the right-hand side.

Important note

If we are to use [] while destructuring for an object, we receive an error, showing TypeError, while as a result of using {} for array destructuring, you might not obtain any error, but the variables will be undefined.

In the next section, we take a look at spread syntax.

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