1) From the data you have chosen, select a variable that you are interested in 2) Use pastecs::stat.desc to describe the variable. Include a few sentences about what the variable is and what it's measuring. 3) Remove NA's if needed using dplyr:filter (or anything similar) 4) Provide a histogram of the variable (as shown in this lesson) 5) transform the variable using the log transformation or square root transformation (whatever is more appropriate) using dplyr::mutate or something similar 6) provide a histogram of the transformed variable 7) submit via rpubs on CANVAS

This project presents three visualizations using R: an animated bar chart comparing values across cities and categories, a boxplot illustrating the distribution of outputs across companies, and an animated lollipop chart showing changes in quantity across categories over time. Together, these figures demonstrate how interactive and animated visualizations can help explore and communicate data patterns.

Randomized Complete Block Design

Alguno de los ejercicios de entrenamiento de LAB1

Reflexión sobre la diversidad presente en el aula de matemáticas, los retos de la enseñanza inclusiva.