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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

The Pima Indians diabetes dataset

To build the characteristics of the Spark dataframe, we will first take a small dataset, determine the basic statistical properties of this dataset, and then build a Spark dataframe based upon these properties.

The Pima Indians diabetes dataset contains the following attributes:

  • Number of times pregnant
  • Plasma glucose concentration with two hours in an oral glucose tolerance test
  • Diastolic blood pressure (mm Hg)
  • Triceps skin fold thickness (mm)
  • 2-hour serum insulin (mu U/ml)
  • Body mass index (weight in kg/(height in m)^2)
  • Diabetes pedigree function
  • Age (years)
  • Developed diabetes (yes or no)

 

The data is a publicly available dataset. In fact, there are several versions of this dataset available. We will ...

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Publisher Resources

ISBN: 9781785886188Supplemental Content