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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

Structuring and designing the app

React.js has some core philosophy of app design, which is mostly about breaking up the UI into a component hierarchy, and also one of the ideas is to identify where your state should live.

In this section, we will see how to design the structure of our no-code app with React.js and also consider the React philosophy of app design. With this principle, we will find it easy to implement a basic UI in React.

First, let's understand what a no-code environment is and what we want to achieve with it. The no-code environment is used to make data handling and analysis easier with just the click of a few buttons.

We will create a platform where users can upload their data, perform analysis, and do what they do with code, such as the following:

  • DataFrame-to-DataFrame operations such as concat
  • Arithmetic operations such as cummax and cumsum
  • Querying to filter out a DataFrame by a column value
  • Describing a DataFrame

We...

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