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()
name | founder | founded | employees | vehicles | launch\_sites | test\_sites |
---|---|---|---|---|---|---|
SpaceX | Elon Musk | 2002 | 7000 | 3 | 3 | 1 |
upcoming <- get_SpaceX_launches("upcoming")
flight\_number | mission\_name | mission\_id | launch\_year | launch\_date\_unix | launch\_date\_utc | launch\_date\_local | is\_tentative | tentative\_max\_precision | |
---|---|---|---|---|---|---|---|---|---|
1 | 110 | CRS-21 | EE86F74 | 2020 | 1607271420 | 2020-12-06T16:17:00.000Z | 2020-12-06T11:17:00-05:00 | FALSE | hour |
2 | 110 | SXM-7 | 2020 | 1607880600 | 2020-12-13T17:30:00.000Z | 2020-12-13T12:30:00-05:00 | FALSE | hour | |
NA | NA | NA | NULL | NA | NA | NA | NA | NA | NA |
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()
id | active | stages | boosters | cost\_per\_launch | success\_rate\_pct | first\_flight | country | company |
---|---|---|---|---|---|---|---|---|
1 | FALSE | 2 | 0 | 6.7e+06 | 40 | 2006-03-24 | Republic of the Marshall Islands | SpaceX |
2 | TRUE | 2 | 0 | 5.0e+07 | 97 | 2010-06-04 | United States | SpaceX |
3 | TRUE | 2 | 2 | 9.0e+07 | 100 | 2018-02-06 | United States | SpaceX |
4 | FALSE | 2 | 0 | 7.0e+06 | 0 | 2021-12-01 | United States | SpaceX |
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()
mission\_name | mission\_id | manufacturers |
---|---|---|
Thaicom | 9D1B7E0 | Orbital ATK |
Telstar | F4F83DE | SSL |
Iridium NEXT | F3364BF | Orbital ATK |
Commercial Resupply Services | EE86F74 | SpaceX |
SES | 6C42550 | Orbital ATK , Boeing , Airbus Defence and Space |
JCSAT | FE3533D | SSL |
AsiaSat | 593B499 | SSL |
Orbcomm OG2 | CE91D46 | Sierra Nevada Corporation |
ABS | 2CF444A | Boeing |
Eutelsat | F7709F2 | Boeing |
ship <- get_SpaceX_ships(active = "true")
ship\_id | ship\_name | ship\_model | ship\_type | roles | active | imo |
---|---|---|---|---|---|---|
GOMSCHIEF | GO Ms Chief | NA | High Speed Craft | Fairing Recovery | TRUE | 9744453 |
GOMSTREE | GO Ms Tree | NA | High Speed Craft | Fairing Recovery | TRUE | 9744465 |
GONAVIGATOR | GO Navigator | NA | Cargo | Support Ship , Fairing Recovery | TRUE | 9566887 |
GOQUEST | GO Quest | NA | Cargo | Support Ship | TRUE | 1155515 |