File:Industrialization per capita 1750-1900.svg

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Description
English: Relative per capita levels of industrialization in developed countries. United Kingdom has the value of 100 at 1900. Values are triennial annual averages, except for 1913.
Data from Paul Bairoch, "International Industrialization Levels from 1750 to 1980," Journal of European Economic History (1982) v. 11.
Date
Source Own work
Author Nicoguaro
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Python code

"""
Data from Paul Bairoch, "International Industrialization Levels from 1750 to 1980," Journal of European Economic History (1982) v. 11.
"""
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

palette_colors = ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e",
                  "#e6ab02", "#a6761d", "#666666"]
palette = sns.color_palette(palette_colors, 8)
sns.set_style("white")
years = [1750, 1800, 1830, 1860, 1880, 1900, 1913]
countries = ["United Kingdom", "Germany", "France", "Austria-Hungary",
             "Russia", "Italy", "United States", "Japan"]
data = np.array([
       [  10.,   16.,   25.,   64.,   87.,  100.,  115.],
       [   8.,    8.,    9.,   15.,   25.,   52.,   85.],
       [   9.,    9.,   12.,   20.,   28.,   39.,   59.],
       [   7.,    7.,    8.,   11.,   15.,   23.,   32.],
       [   6.,    6.,    7.,    8.,   10.,   15.,   20.],
       [   8.,    8.,    8.,   10.,   12.,   17.,   26.],
       [   4.,    9.,   14.,   21.,   38.,   69.,  126.],
       [   7.,    7.,    7.,    7.,    9.,   12.,   20.]])
plt.figure(figsize=(6, 4))
for k in range(8):
    plt.plot(years, data[k, :], lw=2, color=palette[k], label=countries[k])
plt.legend(loc="best")
plt.xlabel("Year")
plt.ylabel("Relative per capita industrialization level")
plt.xlim([1750, 1913])
plt.savefig("Industrialization_per_capita_1750-1900.svg", bbox_inches="tight")
plt.show()

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I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
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This file is licensed under the Creative Commons Attribution 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
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Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

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current17:31, 4 July 2016Thumbnail for version as of 17:31, 4 July 2016484 × 350 (50 KB)Nicoguaro (talk | contribs)Add axis labels.
21:56, 21 June 2016Thumbnail for version as of 21:56, 21 June 2016540 × 360 (46 KB)Nicoguaro (talk | contribs)User created page with UploadWizard

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