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Original file (SVG file, nominally 900 × 540 pixels, file size: 96 KB)
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Summary
| Description |
English: Income redistribution in Japan by age |
| 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
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. |
| 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
from cycler import cycler
import pandas as pd
import matplotlib.ticker as ticker
df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").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=0.18, 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(-250,0, color="lightblue", alpha=0.4 , zorder=-10)
ax.set_ylim([-250,800])
ax.set_axisbelow(True)
ax.set_xlabel("Householder Age", fontsize=12)
ax.set_ylabel("Income,Tax and Transfers (10,000 JPY)", fontsize=14)
ax.margins(0.05)
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([-250,800])
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=10,loc='lower center')
plt.title("Income redistribution in Japan by age \n(MHLW Income redistribution survey, 2023)", fontsize=15)
plt.tick_params(labelsize=9, pad=4)
plt.grid(which='major',color='#cccccc',linestyle='-', axis="y")
plt.setp(ax.get_xticklabels(), fontsize=11, rotation=30)
plt.setp(ax.get_yticklabels(), fontsize=10 )
ax.minorticks_on()
ax.yaxis.set_major_locator(ticker.MultipleLocator(100))
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/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 13:55, 28 September 2023 | | 900 × 540 (96 KB) | Yuasan | 2023 data |
| 15:56, 10 August 2023 |  | 900 × 540 (95 KB) | Yuasan | add details | |
| 14:57, 10 August 2023 |  | 900 × 540 (89 KB) | Yuasan | Uploaded own work with UploadWizard |
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