Welcome to my Shiny App!

🔹 This app lets users explore datasets interactively
🔹 Built with Shiny & R

Datasets Available:

Users can select from three datasets:

• Iris 🌸 (Flower dataset)
  
• Mtcars 🚗 (Car attributes dataset)
  
• ToothGrowth 🦷 (Dental growth dataset)

After selection, the app shows dataset details automatically.

Users can choose between:

• Scatter Plot

• Box Plot

• Summary Statistics

# Mostrar opciones de visualización
plot_types <- c("Scatter Plot", "Box Plot", "Summary Statistics")
plot_types

## [1] "Scatter Plot"       "Box Plot"           "Summary Statistics"

Users can:

• Select a dataset

• Choose variables for X and Y axes

• Pick a visualization type

Example: ToothGrowth Boxplot

library(ggplot2)
ggplot(ToothGrowth, aes(x = factor(dose), y = len)) + 
  geom_boxplot(color = "#4C9CCF", fill = "#A3C8F0", notch = TRUE) + 
  theme_minimal() +
  labs(title = "Tooth Growth by Dose", x = "Dose", y = "Tooth Length")

Conclusion

• This Shiny app makes data exploration easy!

• Users can analyze & visualize datasets dynamically.

• Try it now!