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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Node.js d3 package


The d3 package has data access functionality. In this case, we will read from a tab-separated file and compute an average. Note the use of the underscore variable name for lodash. Variable names starting with an underscore are assumed to be private. However, in this case, it is just a play on the name of the package we are using, which is lodash, or underscore. lodash is also a widely used a utility package.

For this script to execute, I had to do the following:

  • Install d3
  • Install lodash
  • Install isomorphic-fetch (npm install --save isomorphic-fetch es6-promise)
  • Import isomorphic-fetch

The script we will use is as follows:

var fs = require("fs");
var d3 = require("d3");
var _ = require("lodash");
var _ = require("isomorphic-fetch");

//read and parse the animals file
console.log("Animal\tWeight");
d3.csv("http://www.dantoomeysoftware.com/data/animals.csv", function(data) {
    console.log(data.name + '\t' + data.avg_weight);
});

This assumes that we have previously loaded the fs...

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