Zinc for Colds

Note that this dataset was extracted from a figure in a report. As a possible treatment for common colds, we tested zinc gluconate lozenges in a double-blind, placebo controlled, clinical trial. One 23-mg zinc lozenge or matched placebo was dissolved in the mouth every 2 wakeful hours after an initial double dose.
health
Author

MATH 221

Published

May 2, 2024

Data details

There are 37 rows and 2 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/zinc_for_colds.

This data is available to all.

Variable description

  • Duration.of.Symptoms..Zinc. Days for which subject reported symptoms (zinc lozenge group)
  • Duration.of.Symptoms..Placebo. Days for which subject reported symptoms (placebo lozenge group)

Variable summary

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
Duration.of.Symptoms..Zinc. 0 1.00 4.26 3.47 0.25 2 4.0 6.0 16 ▇▆▂▁▁
Duration.of.Symptoms..Placebo. 9 0.76 12.82 10.45 2.00 5 9.5 17.5 40 ▇▃▂▁▁ 
NULL
Explore generating code using R 
library(tidyverse)
library(pins)
library(connectapi)

zinc_for_colds <- read_csv('https://github.com/byuistats/data/raw/master/ZincForColds/ZincForColds.csv') %>% 
  select(!Souce) # Delete description column


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

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

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/zinc_for_colds")
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/zinc_for_colds")