This presentation was created on 2026-09-19.

It uses the built-in R airquality dataset to explore the relationship between:

• Temperature
• Ozone concentration
• Wind speed
• Month

The visualization on the next slide is fully interactive and was created with Plotly.

The interactive chart allows the viewer to:

• hover over individual observations,
• compare ozone levels at different temperatures,
• distinguish observations by month,
• use marker size to inspect wind speed,
• zoom and pan directly in the browser.

A general upward pattern is visible: higher temperatures are often associated with higher ozone levels, although there is substantial variation.

Created with R Markdown + Plotly

Date: 2026-09-19