Slide 1: Introduction

• Simple Data Explorer is a Shiny application.
• Allows users to explore built-in R datasets interactively.
• Select a dataset and visualize it dynamically.
• Useful for beginners learning data exploration.

Slide 2: Key Features

• Choose from built-in datasets (mtcars, iris, etc.).
• Select variables for visualization.
• View dynamic plots updated based on user input.
• No coding required – interact via UI elements.

Slide 3: How It Works

1. User selects a dataset from a dropdown menu.
2. The app displays a list of available variables.
3. A histogram or scatter plot is generated dynamically.
4. Changes reflect instantly using Shiny’s reactivity.

Slide 4: Sample Code (Shiny)

Example code:

output\(dataPlot <- renderPlot({ df <- get(input\)dataset, “package:datasets”) ggplot(df, aes_string(x = input$variable)) + geom_histogram(fill = “blue”, bins = 30) + theme_minimal() })

Visualization: