File:OECD Social Expenditure by Braunch.svg

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Summary

DescriptionOECD Social Expenditure by Braunch.svg	Social Expenditure as % of GDP by Braunch, (OECD 2019)
Date	24 February 2022
Source	Own work, Data from OECD SOCX https://stats.oecd.org/Index.aspx?DataSetCode=SOCX_AGG
Author	Yuasan
Permission (Reusing this file)	CC-0

Licensing

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	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. CC0falsefalse

Graph data

import numpy as np
from cycler import cycler
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).fillna(0)
df1 = df.drop('Total', axis=1).T

#plt.rcParams["axes.prop_cycle"] = plt.cycler("color", plt.get_cmap("tab20")(np.linspace(0,1,12)))
plt.rcParams['axes.prop_cycle'] = cycler(color=['#e5961d', '#4DAF4A', '#B15928', '#3b95d3', '#7FC97F', '#d7352b', '#ffd924', '#a652c1', '#686d69'])

fig, ax = plt.subplots(figsize=(14, 7))
for i in range( len(df1) ):
	ax.bar(df1.columns, df1.iloc[i] , width=0.7, bottom=df1.iloc[:i].sum())

ax.legend(df.columns, fontsize=13,  loc='upper left', ncol=2,  frameon=True, facecolor="#dddddd")
ax.set_axisbelow(True)

plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']
plt.subplots_adjust(left=0.05, bottom=0.14, right=0.98, top=0.92)

plt.title("Social expenditure as % of GDP, by Branch (OECD,2019)", fontsize=25)
plt.tick_params(labelsize=10, pad=4)

plt.xticks(df.index, rotation=70, size=10)
plt.yticks(fontsize=13)
plt.ylabel("% of GDP", size=15)

ax.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#e3e3e3',linestyle='--', axis="y")

plt.savefig("image.svg")

File history

Click on a date/time to view the file as it appeared at that time.

	Date/Time	Dimensions	User	Comment
current	14:56, 24 February 2023	1,260 × 630 (196 KB)	Yuasan	2019 data
	09:53, 13 July 2021	1,440 × 720 (153 KB)	Yuasan	2017 data
	08:22, 30 November 2015	735 × 416 (139 KB)	Yuasan	2011
	01:41, 6 May 2014	746 × 438 (106 KB)	Yuasan	User created page with UploadWizard