File:U.S. Births by Time of Day.svg
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Summary
DescriptionU.S. Births by Time of Day.svg |
English: A graph showing births in the U.S. per hour. This data is from the U.S. CDC for the year 2013.
When Are Babies Born: Morning, Noon, or Night? Birth Certificate Data for 2013. NCHS Data Brief No. 200, May 2015. T.J. Mathews, M.S.; and Sally C. Curtin, M.A. Key findings Data from the National Vital Statistics System
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Date | |
Source | Own work |
Author | Douglas Perkins |
Code
#!/usr/bin/env python from matplotlib import pyplot from matplotlib import ticker from matplotlib import numpy # This generates a bar graph showing births by time of day. # Data is from the U.S. CDC for the year 2013. # For simplicity, I have rounded it here. # # http://www.cdc.gov/nchs/data/databriefs/db200.htm # # This file was written by Douglas Perkins. data = [ ("6 a.m.", 2.9), ("7 a.m.", 4.5), ("8 a.m.", 6.3), ("9 a.m.", 5.0), ("10 a.m.", 5.0), ("11 a.m.", 5.0), ("noon", 6.0), ("1 p.m.", 5.7), ("2 p.m.", 5.1), ("3 p.m.", 4.9), ("4 p.m.", 4.9), ("5 p.m.", 5.0), ("6 p.m.", 4.5), ("7 p.m.", 4.0), ("8 p.m.", 4.0), ("9 p.m.", 3.7), ("10 p.m.", 3.5), ("11 p.m.", 3.3), ("midnight", 2.9), ("1 a.m.", 2.9), ("2 a.m.", 2.8), ("3 a.m.", 2.7), ("4 a.m.", 2.7), ("5 a.m.", 2.8), ] times = [d[0] for d in data] births = [d[1] for d in data] # Make a graph. x = numpy.arange(len(times)) + 0.25 width = 0.5 pyplot.figure(num=1, figsize=(8,4.5)) pyplot.bar(x, births, width, color='orange') pyplot.title('2013 U.S.A. Birth Times') pyplot.ylabel('Percent of Births') pyplot.xlabel('Time of Day') xticks = pyplot.xticks(x + width/2.0, times, rotation='vertical') pyplot.subplot(111).grid(b=True, axis='y') pyplot.subplot(111).set_xlim([0, 24]) pyplot.savefig('Chapter 6.Birth Times.svg', format='svg', bbox_inches='tight')
Licensing
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9 June 2016
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 03:42, 10 June 2016 | 611 × 454 (62 KB) | Douglaspperkins | User created page with UploadWizard |
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Width | 489pt |
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Height | 363pt |