I am an innovative applied data scientist with more than a decade of experience covering every asspect of the field from initial proposal presentation to final reporting. Over the years, I have found it essential to present complex statistical models in easily understood ways to make insightlful, data-driven decisions and provide impactful insights. Additionally, I routinely self-educate as needed to stay on track with the ever-evolving world of data science.
Analysis of Variance (ANOVA) and Principal Components Analysis (PCA)
Click here to download the data needed to execute the one way ANOVA example that compares bike sharing usage between members and casual users. Be sure to choose "1" for number of independent variables if using the downloaded data.
Click here to download the data needed to execute the PCA example that classifies different ripeness levels in wine grapes based on their measured phenolic concentrations.
Click here to download the data needed to execute the phenolics example
Click here to see my publications on Google Scholar
Email: christopher.beaver@gmail.com