Developing Data Products - Week 4 Course Project

📘 Overview

This repository contains the final peer-graded project for the Johns Hopkins University - Developing Data Products course (part of the Data Science Specialization on Coursera).

The project consists of two main parts:

1. A Shiny Application
2. A Reproducible Pitch Presentation

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🧩 Shiny Application

🔗 Live App

https://muditagarwal.shinyapps.io/data_developing_week_4/

📂 Source Files

• ui.R – defines the user interface and layout
• server.R – contains the server logic and reactive computations

The application allows users to explore how various car features affect fuel efficiency (Miles Per Gallon - MPG) using the built-in mtcars dataset.

⚙️ Features

• Input: Dropdown to select a variable (cyl, hp, wt, disp)
• Output:
  • Scatter plot of MPG vs selected variable
  • Optional linear regression line overlay
  • Regression summary statistics
• Interactive and reactive behavior using Shiny

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📊 Reproducible Pitch Presentation

🔗 Presentation Link

https://rpubs.com/muditagarwal/data_developing_week_4_pitch

The pitch presentation was built using R Markdown (Slidy Presentation) and contains:

• 5 slides including introduction, motivation, functionality, R code examples, and conclusion
• Embedded R code that executes during rendering
• Hosted publicly on RPubs

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