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Building Data-Driven Applications with Danfo.js

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

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801070850
Length 476 pages
Edition 1st Edition
Languages
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Authors (2):
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Stephen Oni Stephen Oni
Author Profile Icon Stephen Oni
Stephen Oni
Rising Odegua Rising Odegua
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Rising Odegua
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Table of Contents (18) Chapters Close

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

Setting up the project environment

For this project, we will build a single web page with both a backend and a frontend. We will be using the Next.js framework to build the app. Next.js makes it possible for you to build the backend and frontend quickly and easily. We will also make use of tailwindcss, as we have done for some of our previous projects, such as the no-code environment project.

To set up our project environment with Next.js containing the default tailwindcss configuration, all we need to do is run the following command:

$ npx create-next-app -e with-tailwindcss twitterdashboard

The npx command runs create-next-app, which creates Next.js boilerplate code, including the tailwindcss configuration in the twitterdashboard directory. Note that the twitterdashboard directory (also called project name) can be given any name of your choice. If everything is successfully installed, you should get the output shown in the following screenshot:

Figure...

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