What shapes the price of a home?
A planned exploration of public housing data: examine patterns, compare property characteristics, and practice interpreting regression results.
Aspiring data scientist
Kathleen
Quiles.
Learning to turn data into understanding.
Building a foundation in R and statistics, one thoughtful question at a time.
A STUDY IN POSSIBILITIESILLUSTRATION / 01
CURRENTLY LEARNINGR programmingDescriptive statisticsData preparationR Markdown
01 / The portfolio
Questions worth exploring.
My portfolio is taking shape. These are planned project directions; completed analyses will be added here.
Planned project
How does a city move?
A planned look at public bike-share data to explore how trips vary by time of day and day of the week.
What do missing values change?
A planned study using public data to compare summary statistics and explain how missing-data decisions affect an analysis.
02 / Behind the data
A foundation built
on curiosity.
I’m Kathleen Quiles, an aspiring data scientist learning R and statistical modeling. I’m building this portfolio to share my growth and, as projects develop, the questions, decisions, and findings behind my work.
My current focus is understanding the fundamentals: preparing data, calculating and interpreting statistics, and making an analysis clear enough for someone else to follow.
As this collection grows, each completed project will include its data source, methods, findings, and limitations.
03 / Say hello
Let’s start a conversation.
Have a question about my learning journey or portfolio? Get in touch.