2026-01-08

Introduction

Fuel efficiency is an important factor when comparing automobiles. This project presents a Shiny web application that allows users to interactively explore fuel efficiency data using the mtcars dataset.

Problem Statement

Raw datasets can be difficult for beginners to understand. This application helps users: - Filter cars by number of cylinders - Visualize fuel efficiency - Understand average MPG easily

Application Overview

The Shiny application includes: - Dropdown input to select number of cylinders - Slider input to control histogram bins - Reactive histogram visualization - Reactive calculation of average MPG

# Summary statistics of fuel efficiency
summary(mtcars$mpg)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   10.40   15.43   19.20   20.09   22.80   33.90

Conclusion

This project demonstrates how Shiny can be used to build simple and interactive data exploration tools. Future improvements may include: - Additional filtering options - More datasets - Predictive modeling