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Medical Cost Personal Datasets

✓ Published0🌍 Public

Last edited Sep 17, 2019

Created on Sep 10, 2019

Forked from Loading and Parsing CSV Data

This example displays basic metadata about the Medical Cost Personal Datasets, sourced from a cleaned-up Kaggle dataset used in the book Machine Learning with R. It shows the file size in kilobytes, the number of rows, and the number of columns in the CSV. The visualization uses d3.csv to load the remote data and d3.csvFormat to calculate the byte size, then displays the results as large text in an HTML pre element. It also includes commented-out alternatives using fetch, async/await, and d3.csvParse.

AI-generated description

Medical Cost Personal Datasets

This Data is a pratical is used in the book Machine Learning with R by Brett Lantz; which is a book that provides an introduction to machine learning using R. All of these datasets are in the public domain but simply needed some cleaning up and recoding to match the format in the book. The following data obtained from Kaggle, explain the cost of a small sample of USA population Medical Insurance Cost based on some attributes depicted on "Content".

Github Gist data: Medical Cost Personal Datasets

MIT Licensed

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