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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 statistical charts with Plotly.js

Statistical charts are different types of charts used mostly by statisticians or data scientists to convey information. Some examples of statistical plots are histograms, box plots, violin plots, density plots, and so on. In the following sub-section, we'll briefly cover three types of statistical plots—histograms, box plots, and violin plots.

Creating histogram plots with Plotly.js

A histogram is used to represent the distribution or spread of numerical/continuous data. A histogram is similar to a bar chart, and sometimes people may confuse the two. A simple way to differentiate between them is the type of data they can show. A histogram works with continuous variables instead of categorical variables, and only needs a single value as data.

In the following code snippet, we show an example of a histogram with generated random numbers:

var x = [];
for (let i = 0; i < 1000; i ++) { //generate random numbers
x[i...
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