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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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Toc

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

Creating different DataFrame operation components

In this section, we will create different DataFrame operation components and also implement the Side Plane for DataFrame operation components. Danfo.js contains a lot of DataFrame operations. If we were to design a component for each, it would be very stressful and redundant.

To prevent the creation of a component for each DataFrame method, we group each of the DataFrame operations based on their (keyword) argument, that is, based on the variable passed into them. For example, there are some DataFrame methods that take in only the axis of operation, hence we can group these types of methods together.

Here is a list of DataFrame operation components to be created and the DataFrame method grouped under them:

  • The Arithmetic component: This contains the DataFrame method whose argument is only the axis of operation, which can be either 1 or 0. The methods used to carry out arithmetic operations on DataFrame include min, max...
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