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File:Income redistribution in Japan by income class.svg

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Income redistribution in Japan by income class
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Summary

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Description
English: Income redistribution in Japan by income class
Date
Source Own work. Data from MHLW Income redistribution survey, 2023
https://www.e-stat.go.jp/stat-search/files?page=1&toukei=00450422&tstat=000001024668
Author Yuasan
Permission
(Reusing this file)		 CC-0

Licensing

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I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero 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.

graph data

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import matplotlib as mp
import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd
import matplotlib.ticker as ticker

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")

fig, ax = plt.subplots(figsize=(10, 6))
ax2 = ax.twinx()
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans']
plt.subplots_adjust(left=0.10, bottom=0.21, right=0.99, top=0.90)

ax.bar(df.index, df['Tax']* -1, color="#9467bd", label="Tax")
ax.bar(df.index, df['Social Insurance'] *-1 , color="#e377c2", bottom=df['Tax']*-1, label="Social Insurance")
ax.bar(df.index, df['Cash Benefits'], color="#2ca02c", label="Cash Benefits")
ax.bar(df.index, df['Service Benefits'], color="#98DF8A", label="Service Benefits", bottom=df['Cash Benefits'] ) 
ax.axhspan(-300,0, color="lightblue", alpha=0.3 , zorder=-20)	

ax.set_ylim([-300,1000])
ax.set_axisbelow(True)
ax.set_xlabel("Income class (10,000 JPY)", fontsize=12)
ax.set_ylabel("Income,Tax and Transfers (10,000 JPY)", fontsize=14)
ax.margins(0.05)

ax.add_line(mp.lines.Line2D([0.584, 0.584], [0, 1],
            ls=":", c="red", alpha=0.3, transform=ax.transAxes))

ax2.set_prop_cycle( plt.rcParams['axes.prop_cycle'] )
ax2.plot(df["Raw Income"], lw=3, label="Raw Income", ls="--")
ax2.plot(df["Redistributed Income"], lw=3, label="Redistributed Income")
ax2.set_ylim([-300,1000])
ax2.set_yticklabels([])
ax2.set_yticks([])
ax2.margins(0.05)

lines, labels = ax.get_legend_handles_labels()
lines2, labels2 = ax2.get_legend_handles_labels()
fig.legend(lines + lines2, labels + labels2, facecolor="#eeeeee" ,
           ncol=6, fontsize=9,loc='lower center')

plt.title("Income redistribution in Japan by income class\n(MHLW Income redistribution survey, 2023)", fontsize=15)
plt.tick_params(labelsize=9, pad=4)
plt.setp(ax.get_xticklabels(), fontsize=9, rotation=60)
plt.setp(ax.get_yticklabels(), fontsize=10 )

ax.minorticks_on()
ax.yaxis.set_major_locator(ticker.MultipleLocator(100))
ax.yaxis.set_minor_locator(ticker.MultipleLocator(50))
ax.grid(True, which='major',color='#eeeeee',linestyle='--', axis="x")
ax.grid(False, which='minor', axis="x")
ax.grid(True, which='major',color='#cccccc',linestyle='-', axis="y")
ax.grid(True, which='minor',color='#eeeeee',linestyle='--', axis="y")

plt.savefig("image.svg")

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Date/TimeThumbnailDimensionsUserComment
current13:41, 28 September 2023Thumbnail for version as of 13:41, 28 September 2023900 × 540 (119 KB)Yuasan (talk | contribs)2023 data
07:35, 11 August 2023Thumbnail for version as of 07:35, 11 August 2023900 × 540 (119 KB)Yuasan (talk | contribs)Uploaded own work with UploadWizard

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