A comprehensive Shiny application to explore Airbnb properties based on a variety of filters. With an intuitive user interface, users can quickly find properties that match their preferences.

https://perman27.shinyapps.io/airbnb_perman/

• City Selection: Filter properties by city.
• Price Range: Adjust the slider to set your budget.
• Host Verification: Choose whether you prefer hosts with verified identities.
• Accommodation Size: Select the number of people the property needs to accommodate.
• Cleaning Fee Option: Decide if you want a property with a cleaning fee.
• Property Type: Filter by the type of property (e.g., Apartment, Bed & Breakfast).

• shiny: For building the web application.
• leaflet: For map-based visualizations.
• readr: Data reading utility.
• dplyr: For data manipulation.
• ggplot2: Graphing and visualization.
• plotly: Interactive plotting.

1. Clone the repository:

   git clone https://github.com/Ruthik27/Airbnb_2023_Dashboard
   

2. Navigate to the project directory and install the required R packages:

   install.packages("shiny")
   install.packages("leaflet")
   install.packages("readr")
   install.packages("dplyr")
   install.packages("ggplot2")
   install.packages("plotly")

3. Run the Shiny app:

   shiny::runApp()

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

MIT License