July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Chapter materials
In this chapter, we will be working with three datasets. The first two come from data on wine quality donated to the UCI Machine Learning Data Repository (http://archive.ics.uci.edu/ml) by P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis, and contain information on the chemical properties of various wine samples along with a rating of the quality from a blind tasting session by a panel of wine experts. These files can be found in the data/ folder inside this chapter's folder in the GitHub repository (https://github.com/stefmolin/Hands-On-Data-Analysis-with-Pandas/tree/master/ch_10) as winequality-red.csv and winequality-white.csv for red and white wine, respectively.
Our third dataset was collected using the Open ...
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