Apollo Missions

During the 1960s and early 1970s, the United States was in a race to explore the moon. Seven missions (Apollo 11 through Apollo 17) were launched in an attempt to reach the lunar surface. Each of these successfully landed on the moon, with the exception of Apollo 13. The lunar landing of Apollo 13 was aborted due to a failure of cryogenic oxygen tank 2. Miraculously, all three astronauts returned safely to Earth. Data was collected from records that were recorded for each mission.
astronomy
physics
Author

MATH 221

Published

March 13, 2024

Data details

There are 8 rows and 6 columns. The data source1 is used to create our data that is stored in our pins table. You can access this pin from a connection to posit.byui.edu using hathawayj/apollo.

This data is available to all.

Variable description

  • Mission Apollo mission name
  • LaunchDate Date of launch
  • LunarLandingSite Location of landing
  • DistanceTraveledOnMoon Distance probe travelled on moon (kilometers)
  • MassOfSamples Total mass of lunar rock samples collected (kilograms)
  • MissionDuration Total duration of mission (days)

Variable summary

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
DistanceTraveledOnMoon 2 0.75 15.02 14.62 0.30 1.92 15.25 27.67 30.00 ▇▁▁▁▇
MassOfSamples 2 0.75 63.17 36.40 20.00 36.00 59.50 91.25 110.00 ▇▃▁▃▇
MissionDuration 1 0.88 9.89 2.38 5.95 8.57 10.19 11.69 12.58 ▃▃▃▇▇

Variable type: character

skim_variable n_missing complete_rate min max empty n_unique whitespace
Mission 1 0.88 9 9 0 7 0
LaunchDate 1 0.88 10 11 0 7 0
LunarLandingSite 1 0.88 3 19 0 7 0
Explore generating code using R 
library(tidyverse)
library(pins)
library(connectapi)

apollo <- read_csv('https://github.com/byuistats/data/raw/master/Apollo/Apollo.csv')

# Publish the data to the server with Bro. Hathaway as the owner.
board <- board_connect()
pin_write(board, apollo, type = "parquet", access_type = "all")

pin_name <- "apollo"
meta <- pin_meta(board, paste0("hathawayj/", pin_name))
client <- connect()
my_app <- content_item(client, meta$local$content_id)
set_vanity_url(my_app, paste0("data/", pin_name))

Access data

This data is available to all.

Direct Download: apollo.parquet

R and Python Download:

URL Connections:

For public data, any user can connect and read the data using pins::board_connect_url() in R.

library(pins)
url_data <- "https://posit.byui.edu/data/apollo/"
board_url <- board_connect_url(c("dat" = url_data))
dat <- pin_read(board_url, "dat")

Use this custom function in Python to have the data in a Pandas DataFrame.

import pandas as pd
import requests
from io import BytesIO

def read_url_pin(name):
  url = "https://posit.byui.edu/data/" + name + "/" + name + ".parquet"
  response = requests.get(url)
  if response.status_code == 200:
    parquet_content = BytesIO(response.content)
    pandas_dataframe = pd.read_parquet(parquet_content)
    return pandas_dataframe
  else:
    print(f"Failed to retrieve data. Status code: {response.status_code}")
    return None

# Example usage:
pandas_df = read_url_pin("apollo")

Authenticated Connection:

Our connect server is https://posit.byui.edu which you assign to your CONNECT_SERVER environment variable. You must create and API key and store it in your environment under CONNECT_API_KEY.

Read more about environment variables and the pins package to understand how these environment variables are stored and accessed in R and Python with pins.

library(pins)
board <- board_connect(auth = "auto")
dat <- pin_read(board, "hathawayj/apollo")
import os
from pins import board_rsconnect
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv('CONNECT_API_KEY')
SERVER = os.getenv('CONNECT_SERVER')

board = board_rsconnect(server_url=SERVER, api_key=API_KEY)
dat = board.pin_read("hathawayj/apollo")