Dementia_Prevalence_in_OECD.svg
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Summary
| Description |
English:
Prevalence of Dementia in OECD countries.
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| Date | |
| Source |
Own work
, Data from OECD Health at a glance 2021
https://www.oecd.org/health/health-at-a-glance/ |
| Author | Yuasan |
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Permission
( Reusing this file ) |
CC-0 |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication . |
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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.
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graph data
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
fig, ax = plt.subplots(figsize=(12, 5))
x = np.arange(df.index.size)
ax.bar(x-0.1, df["2021"] , color="#F79646", width=0.5, bottom=0)
ax.bar(x+0.3, df["2050"] , color="#C6A389", width=0.3, bottom=0)
ax.legend(df.columns, fontsize=14, ncol=2, loc='upper left', 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=0.06, bottom=0.17, right=0.99, top=0.9)
plt.title("Estimated Prevalence of dementia (OECD Health,2021)", fontsize=20)
plt.tick_params(labelsize=10, pad=4)
plt.xticks(x, df.index, rotation=55, size=9)
plt.ylabel("Prevalence per 1000 polulations", size=11)
plt.yticks(fontsize=11)
plt.ylim([0,50])
ax.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='--', axis="y")
plt.savefig("image.svg")