Ada zufanka

country	population	date	membership	source
Germany	83695430	31 Mar 2022	European Union	National quarterly estimate[9]
France	67918000	1 Aug 2022	European Union	National monthly estimate[10]
Italy	58887391	1 May 2022	European Union	National monthly estimate[12]
Spain	47432805	1 Jan 2022	European Union	National estimate[13]
Poland	38014000	30 Apr 2022	European Union	National monthly estimate[15]
Romania	19038000	1 Jan 2022	European Union	National annual estimate[17]
Netherlands	17710526	1 Jul 2022	European Union	National monthly estimate[18]
Belgium	11584008	1 Jan 2022	European Union	National estimate[19]
Greece	10678632	1 Jan 2021	European Union	National estimate[20]

import pandas as pd
import numpy as np

from IPython.display import Markdown, display

def printmd(string):
    display(Markdown(string))

	def scrape_contributions(soup, org_id):

	'''
	Scrapes the table next to the text "contributions in the closed financial year"
	Returns a list of lists with contributions
	'''

	data = []

	txt = ".Contributions in the closed financial year."

	# lower bound for the first quantile
	previous_q = 0
	# store the medians in a dictionary
	row = {}
	# column name to calculate the quantiles from
	colname = "bedrag"

	for q in range(1,11):

	# .quantile() wants a decimal between 0 and 1

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