Illinois Birth Weights

Data details

There are 44 rows and 3 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/illinois_birth_weights.

This data is available to all.

Variable description

• Black_US: Birth weight of babies with black mothers born in the US (grams)
• Black_Africa: Birth weight of babies with black mothers born in Africa (grams)
• White_US: Birth weight of babies with white mothers born in the US (grams)

Variable summary

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
Black_US	9	0.80	2970.26	550.82	2022	2585.50	2928	3261.00	4028	▃▂▇▂▃
Black_Africa	5	0.89	3214.26	551.04	2257	2809.50	3146	3664.50	4225	▃▃▇▂▃
White_US	0	1.00	3357.52	601.67	2270	2911.25	3329	3842.75	4448	▃▇▆▇▃

NULL

library(tidyverse)
library(pins)
library(connectapi)

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


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

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

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/illinois_birth_weights")

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/illinois_birth_weights")

Footnotes

1. Richard J. David and James W. Collins. Differing birth weight among infants of u.s.-born blacks, african-born blacks, and u.s.-born whites. New England Journal of Medicine, 337(17):1209-1214, 1997.