This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file.

Summary

Graph data

import matplotlib.pyplot as plt
import pandas as pd

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.sort_values(by=["Total"], ascending=True)
df = df.drop("Total", axis=1)

fig, ax = plt.subplots(figsize=(16, 8))
ax.bar(df.index, df["Government/compulsory"] , color="#5E95CD", width=0.7)
ax.bar(df.index, df["Voluntary payment"], color="#9BBB59", width=0.7, bottom=df["Government/compulsory"] )
ax.bar(df.index, df["Household out-of-pocket"], color="#D676AB", width=0.7 , bottom=df["Government/compulsory"]+df["Voluntary payment"] )

ax.legend(df.columns, fontsize=20)
ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.08, bottom=0.15, right=0.99, top=0.9)

plt.title("Health expenditure per capita, 2020 (OECD Health)", fontsize=26)
plt.tick_params(labelsize=10, pad=4)
plt.ylabel("PPPUSD", size=15)
plt.xticks(rotation=60)
plt.yticks(fontsize=13)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")

plt.savefig("image.svg")

Licensing

I, the copyright holder of this work, hereby publish it under the following license:

This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.

The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. http://creativecommons.org/publicdomain/zero/1.0/deed.enCC0Creative Commons Zero, Public Domain Dedicationfalsefalse

Information