James G, Witten D, Hastie T and Tibshirani R (2013). An Introduction to Statistical Learning: with Applications in R, 1st edition. Springer.

Raster where each cell is a count of species with at least 1 new observation

This lab explores the concept of the normal distribution using nutritional data from fast food restaurants. Through visualization, simulation, and probability analysis in R, we examine how well real-world data (like calories from fat, sodium, and carbohydrates) align with a theoretical normal distribution. Using the tidyverse and openintro packages, I compared McDonald’s and Dairy Queen menu items, generated Q-Q plots, and calculated both theoretical and empirical probabilities. This lab demonstrates how statistical concepts can be applied to everyday datasets — providing practical experience in data visualization, distribution analysis, and probability modeling.

Make tables in different file formats and load into R

NYC flights 2013 - Data101

mecobi 2025 UPRH