diff --git a/index.qmd b/index.qmd
index 290935c..bd34a2d 100644
--- a/index.qmd
+++ b/index.qmd
@@ -9,13 +9,16 @@ format:
 
 ## Welcome to the Future of Data Science Education
 
-In this demonstration, we showcase cutting-edge technology that brings interactive coding directly into slide decks using WebAssembly (WASM) through the new official Quarto WebAssembly backend: [`quarto-live`](https://r-wasm.github.io/quarto-live/) by George Stagg. This innovative approach revolutionizes how we present and teach data science concepts by allowing for real-time code execution, visualization, and exercises within the presentation itself.
+In this demonstration, we showcase cutting-edge technology that brings interactive coding directly into slide decks using WebAssembly (WASM) through the new official Quarto WebAssembly backend: [`quarto-live`](https://r-wasm.github.io/quarto-live/) by George Stagg. This innovative approach revolutionizes how we present and teach data science concepts by allowing for real-time code execution, visualization, and exercises within the presentation itself. For more on the Quarto WebAssembly backend, see the [official documentation](https://r-wasm.github.io/quarto-live/).
 
 You can view the demonstration of this technology in the following slide deck: 
 
 {{< revealjs file="slides/lecture-01.html" height="500px">}}
 
-For more on the Quarto WebAssembly backend, see the [official documentation](https://r-wasm.github.io/quarto-live/).
+In interactive lab form, we have:
+
+- [Exploring Palmer Penguins](tutorials/data-manuipulation.qmd)
+
 
 ## What's Inside
 
diff --git a/slides/lecture-01.qmd b/slides/lecture-01.qmd
index cfbc228..a1e2863 100644
--- a/slides/lecture-01.qmd
+++ b/slides/lecture-01.qmd
@@ -124,6 +124,11 @@ regression_plot(beta_0, beta_1)
 #| define:
 #|   - regression_plot
 regression_plot <- function(beta_0, beta_1) {
+  # Figure out why scope changed between Live august and now.
+  set.seed(123)
+  x <- 1:100
+  y <- 2 * x + 1 + rnorm(100, mean = 0, sd = 3)
+  df <- data.frame(x = x, y = y)
 
   # Create scatter plot  
   plot(