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Practical Predictive Analytics by Ralph Winters

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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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