knitr::opts_chunk$set(collapse = TRUE, comment = "##", fig.retina = 2, fig.align = "center", fig.path = "README_figs/README-")
Until now the package is not on CRAN but you can download it via GitHub with the following command:
if (!require("devtools")) install.packages("devtools") devtools::install_github("JohannesFriedrich/SpaceX")
The R-package SpaceX is an API wrapper for data collected by https://api.spacexdata.com/v3/ (version v3). You can request available data with different functions:
Function name | Description | Example --------------------|----------------------------------------------------| ------- get_SpaceX_capsules() | request information on capsules | get_SpaceX_capsules("upcoming") get_SpaceX_cores() | request information on cores | get_SpaceX_cores(core_serial = "B1037") get_SpaceX_dragons() | request information on dragon capsules | get_SpaceX_dragons("dragon1") get_SpaceX_history() | request information on SpaceX history | get_SpaceX_history() get_SpaceX_info() | request common information on SpaceX | get_SpaceX_info() get_SpaceX_landpads() | request information on landpads | get_SpaceX_landpads(id = "LZ-4") get_SpaceX_launches() | request information on launches | get_SpaceX_launches(launch_year = 2020) get_SpaceX_launchpads() | request information on launchpads | get_SpaceX_launchpads(site_id = "ksc_lc_39a") get_SpaceX_missions() | request information on missions | get_SpaceX_missions() get_SpaceX_payloads() | request information on payloads | get_SpaceX_payloads() get_SpaceX_rockets() | request information on rockets | get_SpaceX_rockets("falcon1") get_SpaceX_ships() | request information on ships | get_SpaceX_ships() get_SpaceX_roadster() | request information on SpaceX roadster | get_SpaceX_roadster()
First we load some needed packages. The function get_SpaceX_info()
will deliver some information about the company.
library(SpaceX) library(ggplot2) library(dplyr) info <- get_SpaceX_info()
info
knitr::kable( info[,1:7], format = "html" )
upcoming <- get_SpaceX_launches("upcoming")
knitr::kable(upcoming[1:3,1:9], format = "html")
get_SpaceX_launches() %>% ggplot() + geom_bar(aes(launch_year, fill = launch_site$site_name)) + facet_grid(rocket$rocket_name~launch_success, scales = "free_x") + theme(legend.position = "bottom") + scale_fill_discrete(name = "Launch Site") + labs(x = "Year", y = "Counts") + theme(legend.position = "bottom", axis.text.x = element_text(angle = 45, hjust = 1))
Now we request some data about the used rockets. This can be done with the function get_SpaceX_rockets()
.
rockets <- get_SpaceX_rockets()
knitr::kable(rockets[,1:9], format = "html")
stats_2020 <- get_SpaceX_launches(launch_year = 2020)
launchpads <- get_SpaceX_launchpads() library(leaflet) library(htmltools) leaflet(launchpads) %>% addProviderTiles(providers$OpenStreetMap) %>% addTiles() %>% addMarkers(~location$long, ~location$lat, popup = ~htmltools::htmlEscape(location$name))
missions <- get_SpaceX_missions()
knitr::kable(missions[,1:3], format = "html")
ship <- get_SpaceX_ships(active = "true")
knitr::kable(ship[1:4,1:7], format = "html")
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