You're reading from Building Data-Driven Applications with Danfo.js A practical guide to data analysis and machine learning using JavaScript

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781801070850

Length 476 pages

Edition 1st Edition

Languages

JavaScript

Tools

Danfo.js

Concepts

Data Analysis

Authors (2):

Stephen Oni

Rising Odegua

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: The Basics

2. Chapter 1: An Overview of Modern JavaScript FREE CHAPTER

3. Section 2: Data Analysis and Manipulation with Danfo.js and Dnotebook

4. Chapter 2: Dnotebook - An Interactive Computing Environment for JavaScript

5. Chapter 3: Getting Started with Danfo.js

6. Chapter 4: Data Analysis, Wrangling, and Transformation

7. Chapter 5: Data Visualization with Plotly.js

8. Chapter 6: Data Visualization with Danfo.js

9. Chapter 7: Data Aggregation and Group Operations

10. Section 3: Building Data-Driven Applications

11. Chapter 8: Creating a No-Code Data Analysis/Handling System

12. Chapter 9: Basics of Machine Learning

13. Chapter 10: Introduction to TensorFlow.js

14. Chapter 11: Building a Recommendation System with Danfo.js and TensorFlow.js

15. Chapter 12: Building a Twitter Analysis Dashboard

16. Chapter 13: Appendix: Essential JavaScript Concepts

17. Other Books You May Enjoy

Writing interactive code

In this section, we'll highlight some important things to know when writing interactive code in Dnotebook.

Loading external packages

Importing external packages into your notebook is very important when writing JavaScript, and as such, Dnotebook has an inbuilt function called load_package for doing this.

The load_package method helps you to easily add external packages/libraries to your notebook via their CDN links. For instance, to load Tensorflow.js and Plotly.js, you can pass their CDN links to the load_package function, as shown in the following code:

load_package(["https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js","https://cdn.plot.ly/plotly-latest.min.js"])

This loads the packages and adds them to the notebook state so they can be accessed from any cell. In the following section, we use the Plotly library we just imported.

Add the following code to a new cell in your notebook: