Cardiac Arrest Health

A group of researchers led by Jared Bunch studied the long-term effects suffered by patients who experienced a cardiac arrest outside a hospital. Using the Short-Form General Health Survey (SF-36), n = 50 patients assessed their general health at the time of their last follow-up visit. The SF-36 is normalized so the mean score in the general population is 50 and the standard deviation is 10.
MATH221
health
Author

MATH 221

Published

May 2, 2024

Data details

There are 50 rows and 1 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/cardiac_arrest_health.

This data is available to all.

Variable description

  • Health: SF-36 score (0-100). Lower scores on the SF-36 indicate a poorer quality of health.

Variable summary

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
Health 0 1 47.82 8.82 15 43.25 50 53 59 ▁▁▂▆▇ 
NULL
Explore generating code using R 
library(tidyverse)
library(pins)
library(connectapi)

cardiac_arrest_health <- read_csv('https://github.com/byuistats/data/raw/master/CardiacArrestHealth/CardiacArrestHealth.csv') %>% 
  rename(Health = x) # Rename column to match documentation


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

pin_name <- "cardiac_arrest_health"
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: cardiac_arrest_health.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/cardiac_arrest_health/"
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("cardiac_arrest_health")

Authenticated Connection:

Our connect server is https://posit.byui.edu which you assign to your CONNECT_SERVER environment variable. You must create an 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/cardiac_arrest_health")
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/cardiac_arrest_health")