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A data visualization dashboard created in R using Shiny for interactive web applications, integrated with Tableau, to guide you as you explore Melbourne.

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Melbourne-City-Travel-Guide

Introduction

The app allows tourists to delve into Melbourne's dynamic culture, breathtaking attractions, and diverse culinary offerings. The app offers a well-designed interface, starting with an introduction page that outlines its features, which separates user needs into four specialised tabs: Restaurants, discovering top-notch restaurants; Airbnb Listings, listed cosy hotels; Attraction, outlines iconic landmarks; and Transport, provides convenient tram options. The app integrates with sophisticated filters that maximise flexibility on filtering the data.

Authors

  • Ziqi Ding (1335237)
  • Yiyun Mao (1304932)
  • Shiyi Xie (704597)
  • Xubin Zou (1059403)

Demo

Run App

For best user interactions and experience of this application, please use an external browser, e.g Google Chrome.

Running the Shiny App from terminal

Please make sure that you are at the root project directory.

# At the root project directory.
R -e "shiny::runApp('./R/app.R')"

Directory Tree

root
├── R
│   ├──	R.Rproj					        # project file
│   ├── app.R					          # R script for Shiny app
│   ├── constants_and_data.R    # R script for constants and data import
│   ├── libraries.R				      # R script for libraries import
│   ├── attraction				      # server and ui for attraction tab
│   ├── hotel					          # server and ui for hotel(Airbnb) tab
│   ├── restaurant				      # server and ui for restaurant tab
│   ├── transport			          # server and ui for transport tab
│   ├── www						          # custom icons and css files
│   └── data					          # datasets
│       ├── airbnb
│       ├── geographic
│       ├── poi
│       └── restaurant
└── Tableau						          # Tableau workbooks
    ├── Airbnb
    ├── Attraction
    ├── Restaurant
    └── Transport
    	└── data				          # transport datasets

Datasets Used

Restaurants
Airbnb Listings
Attractions
Transport

About

A data visualization dashboard created in R using Shiny for interactive web applications, integrated with Tableau, to guide you as you explore Melbourne.

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