This project aims to be as educational and detailed as possible to showcase my understanding and proficiency of the R programming language, R Markdown and the topics at hand: data science (exploration, visualization, PCA...) and machine learning (through several high level libraries).
Note that the R Markdown file outputs a .HTML document that has been uplodad to RPubs where it can be properly visualized. Both files are also available in their dedicated GitHub repository.
The goal of this project is to perform a complete exploratory data analysis upon the Wisconsin Breast Cancer Dataset describing and detailing each step of the process. The document and its content are heavily based upon the work of Miri Choi in kaggle although with a much larger scope, much more detail (throughfully commenting each step of the process) and further developed (using additional machine learning libraries and approaches).
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The R Markdown file where the exploratory data analysis is throughfully documented.
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An HTML file knitted by the R Markdown file. It has been uplodad to RPubs where it can be properly visualized.