Principal Component Analysis in R

Hi there! Welcome to my blog on pricipal component analysis in R. Purpose: PCA is a dimensionality rediction technique; meaning that each additional variable you’re including in your modeling process represents a dimension. What does it do?: In terms of what PCA actually does, it takes a dataset with high dimensionality, and reduces them down …

Rules of Thumb for Getting Started with Data Visualization

Intro: Whether you’re trying to break into the world of data analytics or data science, if you’re a product manager, sales leader, or anybody seeking to understand their business being able to utilize data in a meaningful way is key. Whether you’re using data visualization software like Tableau, Domo, PowerBI, etc. or you’re using a …

Introducing me!

Quick introduction! I am a senior data scientist looking to disseminate some of the lessons, tips, & tricks that I’ve learned along the way. Why do this? My experience equips me with a helpful perspective that I believe will assist others in their pursuit of a data science skill setI believe that by sharing my …