Welcome to my Shiny App!

This app helps users interactively explore data using R and visualize eruption wait times from the faithful dataset.

Many users struggle to visualize trends in real-time data.

Our app provides an intuitive interface for exploring datasets with live feedback using sliders and histograms.

The app lets users adjust the number of histogram bins using a slider. Here’s what the output looks like: ## Slide 4: UI and Server Code Snippets

UI Sidebar Panel:

```r # This is sample code, not executed in the slides sidebarPanel( p(“Welcome to my Shiny App!”), sliderInput(“bins”, “Number of bins:”, min = 1, max = 50, value = 30) ) # This is also just a code example output\(distPlot <- renderPlot({ x <- faithful[, 2] bins <- seq(min(x), max(x), length.out = input\)bins + 1) hist(x, breaks = bins, col = ‘gray’, border = ‘white’) })

🔒 Use r instead of {r, eval=FALSE}

In ioslides, you don’t need eval=FALSE unless you’re knitting R chunks. You can simplify with just:

```r # example code here