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Summary
}
| Description |
Union Membership in the United States, % of employed workers from 1960-2020. Source: OECD Trade Union Dataset, Trade Union Density table, accessed April 29, 2022 |
| Date | |
| Source | Own work |
| Author | William Chen |
| SVG development |  This plot was created with Matplotlib. |
| Source code | Python code#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 29, 2022
@author: William Chen
"""
import numpy as np
import matplotlib.pyplot as pyplot
# Source: OECD Trade Union Dataset (Trade Union Density)
# Accessed April 29, 2022
# https://stats.oecd.org/Index.aspx?DataSetCode=TUD
year = [
1960,
1961,
1962,
1963,
1964,
1965,
1966,
1967,
1968,
1969,
1970,
1971,
1972,
1973,
1974,
1975,
1976,
1977,
1978,
1979,
1980,
1983,
1984,
1985,
1986,
1987,
1988,
1989,
1990,
1991,
1992,
1993,
1994,
1995,
1996,
1997,
1998,
1999,
2000,
2001,
2002,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012,
2013,
2014,
2015,
2016,
2017,
2018,
2019,
2020]
unionMembership = [
30.9,
29.5,
27.6,
28.5,
28.299999,
28.200001,
28.200001,
27.799999,
27.9,
27.299999,
27.4,
26.9,
26.299999,
25.799999,
25.700001,
25.299999,
24.4,
23.6,
23.9,
22.4,
22.1,
19.5,
18.200001,
17.4,
17,
16.5,
16.200001,
15.9,
15.5,
15.5,
15.2,
15.2,
14.9,
14.3,
14,
13.6,
13.4,
13.4,
12.9,
12.9,
12.8,
12.4,
12,
12,
11.5,
11.6,
11.9,
11.8,
11.4,
11.3,
10.8,
10.8,
10.7,
10.6,
10.3,
10.3,
10.1,
9.8999996,
10.3]
## Specify start and end year for chart, create numpy array
np_union = np.array([year, unionMembership])
year_start = int(np_union[0][0])
year_end = int(np_union[0][-1])
# tick_years is every x years to be displayed as x axes labels
tick_years = 5
## Function to find years divisible by tick_years
def check_divisible(year_input):
if year_input % tick_years == 0:
return True
## Chart formatting
pyplot.title(f"Union Membership in the United States,\n {year_start} - {year_end}")
pyplot.xlabel("Year")
pyplot.ylabel("% of employed workers")
pyplot.xticks(list(filter(check_divisible, list(np_union[0]))),rotation=90)
# Plot
pyplot.plot(np_union[0], np_union[1],'m')
# Start plot from 0
pyplot.gca().set_ylim(bottom=0)
pyplot.savefig('unionMembership.svg', dpi=300)
pyplot.show()
|
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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- You are free:
- to share – to copy, distribute and transmit the work
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- Under the following conditions:
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 19:06, 29 April 2022 | | 540 × 360 (40 KB) | Cyali | Added source |
| 18:55, 29 April 2022 |  | 540 × 360 (33 KB) | Cyali | Uploaded own work with UploadWizard |
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