Introductie tot de lanceergegevens

Gemiddeld gevorderde interactieve datavisualisatie met plotly in R

Adam Loy

Statistician, Carleton College

Dataset met lanceringen

Beeldcredits: Airforce Space Command, 45th Space Wing Public Affairs

Databron: https://github.com/rfordatascience/tidytuesday

Dataset met lanceringen

dplyr::glimpse(launches)

Rijen: 5.726
Kolommen: 11
$ tag         <chr> "1967-065", "1967-080", "1967-096", "1968-042", …
$ JD          <dbl> 2439671, 2439726, 2439775, 2440000, 2440153, 244…
$ launch_date <date> 1967-06-29, 1967-08-23, 1967-10-11, 1968-05-23,…
$ launch_year <dbl> 1967, 1967, 1967, 1968, 1968, 1969, 1970, 1970, …
$ type        <chr> "Thor Burner 2", "Thor Burner 2", "Thor Burner 2"…
$ variant     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
$ mission     <chr> "Secor Type II S/N 10", "DAPP 3419", "DAPP 4417"…
$ agency      <chr> "US", "US", "US", "US", "US", "US", "US", "US", …
$ state_code  <chr> "US", "US", "US", "US", "US", "US", "US", "US", …
$ category    <chr> "O", "O", "O", "O", "O", "O", "O", "O", "O", "O"…
$ agency_type <chr> "state", "state", "state", "state", "state", "state"…

Variabelen

variabele	definitie
launch_year	lanceerjaar
agency	lancerende organisatie
state_code	land van organisatie
category	succes (O) of mislukking (F)
agency_type	type organisatie

variabele	definitie
tag	Harvard- of COSPAR-id van lancering
JD	Juliaanse datum van lancering
launch_date	lanceerdatum
type	type draagraket
variant	variant van draagraket
mission	missienaam

De ruimtewedloop verkennen

Downloads van R-pakketten

CRAN-downloaddata

dplyr::glimpse(monthly_logs)

Rijen: 171
Kolommen: 4
$ package   <chr> "ggvis", "ggvis", "ggvis", "ggvis", "ggvis", "ggvis",…
$ date      <date> 2014-06-30, 2014-07-31, 2014-08-31, 2014-09-30, 2014…
$ dec_date  <dbl> 2014.49, 2014.58, 2014.66, 2014.75, 2014.83, 2014.91,…
$ downloads <dbl> 1344, 2120, 2035, 1702, 3590, 2899, 2427, 2227, 2708,…

Gegroepeerd brushen

shared_logs <- monthly_logs %>% SharedData$new(key = ~package)

shared_logs %>%
  plot_ly(x = ~dec_date, y = ~downloads, color = ~package) %>%
  add_lines() %>%
  highlight()

Laten we oefenen!

Gemiddeld gevorderde interactieve datavisualisatie met plotly in R