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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

Creating bar charts with Danfo.js

A bar chart presents categorical data with rectangular bars where the lengths are proportional to the values that they represent.

The bar function can also be called on the plot namespace and various configuration options can also be applied. In the following sections, we'll demonstrate how to create bar charts from a Series as well as a DataFrame with multiple columns.

Creating a bar chart from a Series

To make a simple bar chart from a Series, you can do the following:

var layout = { 
   title: "A simple bar chart on a series",
} 
var config = {  
  layout  
}  
new_df["AAPL.Volume"].plot(this_div()).bar(config)

Running the preceding code cell gives the following output:

Figure 6.19 – A bar chart on a Series

Looking at the preceding figure, you'll notice that we have a large number of bars. This is because the AAPL...

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