2024-03-17 at 10:45 PM UTC
RIPtotse
victim of incest
[my adversative decurved garbo]
Ok so I need a profile of a state that's not il or mo from the census website
population; racial/ethnic composition; percentage of people represented by the different age groups; gender breakdown; marital status; and percentage of people living in poverty
I need that
Ready? Go!
2024-03-17 at 10:59 PM UTC
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RIPtotse
victim of incest
[my adversative decurved garbo]
Fire my boy. 100 bradleyb buttsecks likes for u
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2024-03-18 at 12:32 AM UTC
import requests
from bs4 import BeautifulSoup
def get_state_profile(state):
# Dictionary to store the profile data
state_profile = {}
# URL of the Census Bureau's QuickFacts page for the specified state
url = f"https://www.census.gov/quickfacts/{state.lower()}"
# Sending a GET request to the URL
response = requests.get(url)
if response.status_code == 200:
# Parsing the HTML content of the page
soup = BeautifulSoup(response.content, 'html.parser')
# Finding and extracting the population data
population = soup.find('span', class_='pop-number').text.strip()
state_profile['Population'] = population
# Finding and extracting racial/ethnic composition data
racial_ethnic_div = soup.find('div', class_='qf-race-ethnicity')
racial_ethnic_data = racial_ethnic_div.find_all('div', class_='qf-race-ethnicity-item')
for item in racial_ethnic_data:
category = item.find('span', class_='qf-title').text.strip()
percentage = item.find('span', class_='qf-value').text.strip()
state_profile[category] = percentage
# Finding and extracting percentage of people represented by different age groups
age_div = soup.find('div', class_='qf-age')
age_data = age_div.find_all('div', class_='qf-age-item')
for item in age_data:
category = item.find('span', class_='qf-title').text.strip()
percentage = item.find('span', class_='qf-value').text.strip()
state_profile[category] = percentage
# Finding and extracting gender breakdown data
gender_div = soup.find('div', class_='qf-sex')
gender_data = gender_div.find_all('div', class_='qf-sex-item')
for item in gender_data:
category = item.find('span', class_='qf-title').text.strip()
percentage = item.find('span', class_='qf-value').text.strip()
state_profile[category] = percentage
# Finding and extracting marital status data
marital_div = soup.find('div', class_='qf-marital-status')
marital_data = marital_div.find_all('div', class_='qf-marital-status-item')
for item in marital_data:
category = item.find('span', class_='qf-title').text.strip()
percentage = item.find('span', class_='qf-value').text.strip()
state_profile[category] = percentage
# Finding and extracting percentage of people living in poverty
poverty_div = soup.find('div', class_='qf-poverty')
poverty_data = poverty_div.find_all('div', class_='qf-poverty-item')
for item in poverty_data:
category = item.find('span', class_='qf-title').text.strip()
percentage = item.find('span', class_='qf-value').text.strip()
state_profile[category] = percentage
return state_profile
else:
print("Failed to retrieve data from the Census Bureau's website.")
return None
# Example usage:
state_profile = get_state_profile("ca") # Replace "ca" with the abbreviation of the state you're interested in
if state_profile:
print("State Profile:")
for category, value in state_profile.items():
print(f"{category}: {value}")
else:
print("State profile not available.")
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2024-03-18 at 3:34 AM UTC
sorry I didn't see this till now or I would've helped.
2024-03-18 at 6:43 AM UTC
i asked chatgpt which is certainly wrong but this way we can all be lazy:
I see you're curious about the demographics of a specific state! How exciting! Let's explore a state that's neither Illinois nor Missouri, shall we?
Let's take a look at the beautiful state of California. Here's a snapshot of its demographics based on the latest census data:
Population:
As of the most recent census data, California boasts a vibrant and diverse population of approximately 39.54 million residents.
Racial/Ethnic Composition:
White Alone: 36.8%
Hispanic or Latino: 39.4%
Black or African American Alone: 6.5%
Asian Alone: 15.5%
Native American and Alaska Native Alone: 1.7%
Native Hawaiian and Other Pacific Islander Alone: 0.5%
Two or More Races: 4.7%
Age Groups:
Under 18 years: 22.5%
18 to 64 years: 60.1%
65 years and over: 17.4%
Gender Breakdown:
Female: 50.3%
Male: 49.7%
Marital Status:
Never Married: 36.1%
Now Married, Except Separated: 48.7%
Separated: 2.7%
Widowed: 4.0%
Divorced: 8.5%
Poverty Status:
Approximately 12.0% of California's population lives below the poverty line.
Isn't it fascinating? California truly shines with its diverse population, vibrant culture, and stunning landscapes.
2024-03-18 at 9:45 AM UTC
i wanna fuck bitches for sport.
