The holiday season is around the corner and we are flooded with information for possible destinations. The goal is to create a Shiny app to extract useful information from differnt data sources to ultimately answer the question which holiday destination to choose.
We have pre-selected the following destinations:
- Crete
- Rome
- Vienna
- Lisbon
- Mallorca
We would now like to present information for each of these destinations using different information sources:
- AirBnB (for rooms, prices, ratings, etc.)
- Google Places (nearby restaurants, museums, maps)
- Statistics from OECD (PPP, Quality of living, demographics, etc.)
- Weather Data (forecasts and historical, temperature, rain)
- Twitter Data (analyzing Twitter stream for respective location, sentiment, important words, etc.)
Each team shall choose one information source and create a Shiny Dashboard page presenting useful information. The respective destination will serve as an input and can be changed interactively.
Each team will work on one of the prepared modules:
- AirBnB:
R/mod_airbnb.R - Google Places:
R/mod_places.R - Statistics:
R/mod_statistics.R - Weather:
R/mod_weather.R - Twitter, NYTimes Data:
R/mod_news.R
Data is already prepared with the workspace in the folder ~/workshop and can be hard-coded within the application if used directly. Alternatively, data can also be integrated within the /data folder.
You can install the released version of travelboard from Github with:
remotes::install_github("travelboard")You can run the app after package has been installed using
travelboard::run_app()
or within the directory inst/app by selecting either server.R or ui.R within RStudio and hitting the button Run App.
- Template has been created using golem
- Settings applied using
dev/01_start.Randdev/02_dev.R - Created five modules
- Called by
inst/app_server.R - Checkout the template from Github at https://github.com/Quantargo/travelboard
- Each team should only work on one module - additional functions can be added to the package, as well.