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Jupyter for Data Science

You're reading from   Jupyter for Data Science Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781785880070
Length 242 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. Jupyter and Data Science FREE CHAPTER 2. Working with Analytical Data on Jupyter 3. Data Visualization and Prediction 4. Data Mining and SQL Queries 5. R with Jupyter 6. Data Wrangling 7. Jupyter Dashboards 8. Statistical Modeling 9. Machine Learning Using Jupyter 10. Optimizing Jupyter Notebooks

Converting JSON to CSV


For this chapter, we will be using the Yelp data available from the challenge at https://www.yelp.com/dataset/challenge. This section uses the dataset from round 9 of the challenge. For background, Yelp is a site for rating different products and services where Yelp publishes the ratings to users.

The dataset file is a very large (a few gigabytes) amount of ratings. There are several sets of rating information in the download-for business ratings, reviews, tips (as in this would be a nice place to visit), and a user set. We are interested in the review data.

When dealing with such large files it may be useful to find and use a large file editor so you can poke into the data file. On Windows, most of the standard editors are limited to a few megabytes. I used the Large Text File Viewer program to open these JSON files.

All of the files are in JSON format. JSON is a human readable format with structured elements—for example, a city object containing street objects. While...

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