La normalización de datos es una etapa clave en la preparación de información para análisis estadísticos y modelos de machine learning. Su objetivo principal es transformar una variable numérica para que se ajuste a una distribución más cercana a la normal, o para que tenga una escala comparable con otras variables.

I learned how to use R and RStudio to work with data. I used R Markdown to write and run code in the same place. I practiced using helpful functions like help(), head(), and heatmap(), and learned how to store data using the assignment arrow <-. I also learned how to prepare data for analysis and make cool heatmaps with just one line of code.

Inferencial

In this project, I explored real breast cancer data collected from over 1,000 patients. Using R, I studied things like age, cancer stage, and hormone test results to learn more about breast cancer types.