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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 basic charts with Plotly.js

Plotly.js supports many basic charts that can be quickly used to convey information. Some examples of basic charts available in Plotly are scatter plots, line, bar, pie and bubble charts, dot plots, treemaps, tables, and so on. You can find a complete list of supported basic charts here: https://plotly.com/javascript/basic-charts/.

In this section, we will cover some basic charts such as scatter plots, bar charts, and bubble charts.

First, we'll start with scatter plots.

Creating a scatter plot with Plotly.js

A scatter plot is typically used to plot two variables against each other. The plot is displayed as a collection of points, hence the name scatter plot. The following screenshot shows an example of a scatter plot:

Figure 5.15 – Example of a scatter plot showing Fare against Age margin

To make a scatter plot using Plotly, you simply specify the plot type, as we show in the following example...

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