The Iris Species Explorer presentation provides an interactive overview of the classic Iris dataset, which is widely used in machine learning and statistics for classification tasks. The dataset contains measurements of sepal length, sepal width, petal length, and petal width for 150 iris flowers belonging to three species: Setosa, Versicolor, and Virginica. This presentation includes: A summary of the dataset’s structure and species distribution. Visualizations such as boxplots comparing sepal and petal lengths across species. A scatter plot exploring the relationship between petal length and sepal length, color-coded by species. The goal is to help users understand key differences between iris species through clear data summaries and graphical insights.

The Iris Species Explorer presentation provides an interactive overview of the classic Iris dataset, which is widely used in machine learning and statistics for classification tasks. The dataset contains measurements of sepal length, sepal width, petal length, and petal width for 150 iris flowers belonging to three species: Setosa, Versicolor, and Virginica. This presentation includes: A summary of the dataset’s structure and species distribution. Visualizations such as boxplots comparing sepal and petal lengths across species. A scatter plot exploring the relationship between petal length and sepal length, color-coded by species. The goal is to help users understand key differences between iris species through clear data summaries and graphical insights.

A simple interactive presentation built with R Markdown and Plotly. It includes a dynamic scatter plot and was created for a data visualization assignment.

"This webpage includes an interactive Leaflet map showing a marker in New York City. Created as part of Week 2's assignment using R Markdown."