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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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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 (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Node.js stats-analysis package


The stats-analysis package has many of the common statistics you may want to perform on your data. You would have to install this package using npm as explained previously.

If we had a small set of people's temperatures to work with, we could get some of the statistics on the data readily, using this script:

const stats = require("stats-analysis");
var arr = [98, 98.6, 98.4, 98.8, 200, 120, 98.5];
//standard deviation
var my_stddev = stats.stdev(arr).toFixed(2);
//mean
var my_mean = stats.mean(arr).toFixed(2);
//median
var my_median = stats.median(arr);
//median absolute deviation
var my_mad = stats.MAD(arr);
// Get the index locations of the outliers in the data set
var my_outliers = stats.indexOfOutliers(arr);
// Remove the outliers
var my_without_outliers = stats.filterOutliers(arr);
//display our stats
console.log("Raw data is ", arr);
console.log("Standard Deviation is ", my_stddev);
console.log("Mean is ", my_mean);
console.log("Median is ", my_median...
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