Load required packages

# Use install.packages() if they have not been installed yet
library(tidyverse)

# Read online cancer incidence data
data <- read_csv("https://tidy-mn.github.io/R-camp-penguins/data/cancer_incidence_data.csv")

1 Breakout Session 1

Explore the cancer incidence dataset and identify some questions you could try to answer with the available data. Use some of the statistical tests we covered (T-tests, Mann-Whitney U Test, Wilcoxon Signed Rank Test, ANOVA, Chi-Squared Test, Correlation) along with any relevant visualizations to answer the questions you identified. Discuss the tests you conducted and your findings within the breakout session group. Be ready to share some of your findings once we reconvene from the breakout sessions.

2 Breakout Session 2

Continue exploring the dataset, this time focusing on linear regression. Try building several models with various parameters, and make sure to interpert the results and coefficients. Discuss the models you selected and your findings with the rest of the breakout session group. Be ready to share some of your findings once we reconvene from the breakout sessions.