File:Prostate cancer rate by age.svg
Summary
| Description |
English: Global prostate cancer incidence rate by age for men. Semi-logarithmic scale. Based on Cancer today (GLOBOCAN) data as of December 2020. |
| Date | |
| Source | Own work |
| Author | Mathnerd314159 |
| SVG development | |
| Source code | Python code#! /usr/bin/env python
# -*- coding:utf8 -*-
import matplotlib.pyplot as plt
# source: https://gco.iarc.fr/api/globocan/v2/2020/data/cancer/0/1/900/all_with_all/?sort=total&grouped=1&ages_group=0_17&grouping_cancer=1&include_nmsc=0&include_nmsc_other=1
ages = [0,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,100]
prostate_cases_by_age = [26,20,14,58,167,209,400,756,3181,15242,51043,127004,216843,290790,284592,203403,133647,86864]
populations_by_age = [349432480,342927584,331497472,316642208,308286720,306059424,309236960,276447040,249389680,241232896,222609712,192215376,157180288,128939384,87185984,54754936,33648948,22286744]
crude_rate_by_age = [cases / population for (cases,population) in zip(prostate_cases_by_age, populations_by_age)]
ages_mid = [(age_high+age_low)/2 for (age_high,age_low) in zip(ages[1:], ages[:-1])]
widths = [(age_high-age_low)-1 for (age_high,age_low) in zip(ages[1:], ages[:-1])]
plt.bar(height=crude_rate_by_age,x=ages_mid,width=widths)
plt.xlabel('Age')
plt.xticks(ticks=ages[:-1]+[(85+100)/2],labels=ages[:-1]+["85+"])
plt.ylabel('Incidence rate')
plt.yscale('log')
plt.savefig("Prostate cancer rate by age.svg")
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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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