Exploring Car Performance with Interactive Plotly Visualizations

Introduction

Interactive Data Visualization Using Plotly

This presentation demonstrates the use of Plotly in R Markdown to create an interactive visualization.

The dataset used is the built-in mtcars dataset, which contains information about different car models, including:

• Miles per gallon (MPG)
• Horsepower
• Weight
• Transmission type

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Dataset Overview

The mtcars dataset contains data collected from the 1974 Motor Trend US magazine.

Some variables include:

• mpg: Fuel efficiency
• hp: Horsepower
• wt: Vehicle weight
• cyl: Number of cylinders

The goal is to explore the relationship between horsepower and fuel efficiency.

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Loading Required Packages

library(plotly)
library(dplyr)

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Interactive Plotly Visualization

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Findings

The interactive Plotly graph shows that:

• Cars with higher horsepower generally have lower fuel efficiency.
• Heavier cars tend to have larger markers.
• Hovering over points reveals individual car models.

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Conclusion

Plotly allows users to interact with visualizations by:

• Hovering over data points
• Exploring individual observations
• Understanding patterns more easily

This demonstrates how R Markdown can be used to create engaging web-based data presentations.

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Created Date

Document created on: July 23, 2026