This is a tiny, colorful presentation built entirely in R Markdown.

• Rendered as an ioslides_presentation
• Styled with a bit of personality
• Powered by an interactive Plotly plot below

This document was generated on July 30, 2026.

Plotly turns a static ggplot into something you can:

• Hover over points to see details
• Zoom & pan to explore clusters
• Toggle continents on/off in the legend

It’s the difference between looking at data and playing with it.

We’ll use the classic gapminder dataset — life expectancy, GDP per capita, and population for countries around the world over time.

gapminder %>%
  filter(year == 2007) %>%
  select(country, continent, lifeExp, gdpPercap) %>%
  head(5)

## # A tibble: 5 × 4
##   country     continent lifeExp gdpPercap
##   <fct>       <fct>       <dbl>     <dbl>
## 1 Afghanistan Asia         43.8      975.
## 2 Albania     Europe       76.4     5937.
## 3 Algeria     Africa       72.3     6223.
## 4 Angola      Africa       42.7     4797.
## 5 Argentina   Americas     75.3    12779.

On the plot from the previous slide, try:

1. Hovering over a big bubble — probably a populous country
2. Clicking a continent in the legend to hide/show it
3. Dragging a box on the plot to zoom into a region
4. Double-clicking to reset the zoom

• Built with rmarkdown, plotly, and gapminder
• Deployed as a static HTML page
• Date generated: July 30, 2026

Questions or ideas? Let’s dig into the data together.