knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of teleporrrt is to construct detailed visuals and convey information from the Teleport API
You can install the development version from GitHub with:
# install.packages("devtools") devtools::install_github("DeclanMolony/teleporrrt")
library(teleporrrt)
You can use the function city_lookup() to produce a dataframe of all the cities used in the Teleport API, and their html links.
#city_lookup()
You can use the function country_lookup() to produce a dataframe of all the countries used in the Teleport API, and their html links.
#country_lookup()
Or you can use cities_valid() to check whether a particular city is in the Teleport API
cities_valid(cities = "Constantinople")
You can use the function city_link() to produce an html link for a particular city's scores to be used for your own analysis:
city_link("Dublin")
You can use the function area_link() to produce an html link for a particular countries or cities salaries to be used for your own analysis:
area_link("San Diego") area_link("United States", "country")
You can create a dataframe of a single city's Teleport metrics:
city_dataframe("New York")
Or create a dataframe comparing two cities:
city_combine_df("Cairo","Zurich")
Or create a dataframe with the closest city to a given Longitude/Latitude coordinates
#Coordinates of the White House nearest_city(lat = 38.8977, lon = -77.0365)
Or create a dataframe of the 25th, 50th, and 75th quantiles of salaries for a given city or country.
US_salary <- salaries_qt("United States", "country") head(US_salary)
You can even create a radar/spider chart comparing two cities' scores
city_radarchart("Hong Kong","Detroit")
You can input a list of cities you're interested in comparing based on cost of living, housing, or education, and find out which of the cities has the maximum rating and which has the minimum rating
MaxMinRating(c("Toronto", "Vancouver"), "Cost of Living")
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