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Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

How to do it...

We will show how to access a CSV file using R. This and the other languages available in Jupyter work in a very similar manner.

For this example, I will be accessing the heating data from https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/Ecdat/Heating.csv. In my case, I have downloaded the file to access it locally (I was developing the access on a train ride and was unclear about the internet access). This file has costs for different heating choices made by homeowners in California.

We can read in the file to a DataFrame using the read.csv command:

heating <- read.csv(file="https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/Ecdat/Heating.csv", header=TRUE, sep=",")

The resulting DataFrame is named ...

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Publisher Resources

ISBN: 9781788839440Supplemental Content