knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%", collapse = TRUE )
nyclogding
contains shiny application and documentation for analyzing Airbnb listings in New York City in 2019. It includes:
housing price prediction using text data with tidymodels
spatial analysis and visualization with sf and tmap
various user-defined statistical visualization
Example dataset:
nyclodging::listings
Shiny app: https://qiushiyan.shinyapps.io/nyclodging/
Package documentation: https://qiushiyan.github.io/nyclodging
You can install the development version of nyclodging like so:
remotes::install_github("qiushiyan/nyclodging")
To start the shiny app locally
library(nyclodging) run_app()
Or if you prefer using docker
docker pull qiushiyan/nyclodging docker run -p 8080:80 --rm qiushiyan/nyclodging
and then navigate to http://localhost:8080/
Inside Airbnb public data http://insideairbnb.com/
Kaggle Dataset https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.