title	output
Airbnb France Project	github_document

Airbnb France

Introduction

This repository contains the code and data for preparing a dataset from Airbnb listings in France and creating an RShiny application to visualize and analyze the data. The project focuses on three major cities: Paris, Lyon, and Bordeaux.

Contents

• R Markdown Report: A comprehensive report detailing the steps taken to prepare the dataset and perform the analysis.
• R Markdown Report PDF: A PDF report of project
• Code: The codes of the project

Files

• Airbnbmarkdown.Rmd: The R Markdown file containing the full analysis and dataset preparation steps.
• AirBnb_Rcode.R: The R code for the project.
• AirbnbMarkdown.pdf: The pdf of the project report

Data Sources

The data used in this project is sourced from InsideAirbnb.com, a platform that provides detailed information about Airbnb listings in various cities around the world.

Setup Instructions

To run the code and RShiny app locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/ohnogaurav/Rprogramming.git
   cd Rprogramming

2. Install the required R packages:

   install.packages(c("dplyr", "lubridate", "stringr", "ggplot2", "tm", "wordcloud", "shiny"))

3. Run the R Markdown file: Open Airbnbmarkdown.Rmd in RStudio and knit the document to generate the HTML report.

4. Run the RShiny app:

   shiny::runApp("app")

Acknowledgments

I would like to acknowledge the following sources and individuals for their assistance and contributions to this project:

• OpenAI's ChatGPT: For providing guidance and assistance in understanding R, RShiny, and data preparation techniques.
• Stack Overflow: For offering valuable solutions to specific coding challenges encountered during the project.
• InsideAirbnb.com: For providing the dataset used in the analysis.
• Airbnb Database Rstudio: For serving as an inspiration and reference for the development of the RShiny app.

License

This project is licensed under the MIT License. See the LICENSE file for details.