File:Comparison gender life expectancy CIA factbook.svg
页面内容不支持其他语言。
![File:Comparison gender life expectancy CIA factbook.svg](http://images.weserv.nl/?url=//upload.wikimedia.org/wikipedia/commons/thumb/b/b2/Comparison_gender_life_expectancy_CIA_factbook.svg/512px-Comparison_gender_life_expectancy_CIA_factbook.svg.png)
此SVG文件的PNG预览的大小:512 × 448像素。 其他分辨率:274 × 240像素 | 549 × 480像素 | 878 × 768像素 | 1,170 × 1,024像素 | 2,341 × 2,048像素。
原始文件 (SVG文件,尺寸为512 × 448像素,文件大小:127 KB)
摘要
描述Comparison gender life expectancy CIA factbook.svg |
English: Comparison of male and female life expectancy at birth for countries and territories as defined in the 2011 CIA Factbook, with selected bubbles labelled. Hover over a bubble to highlight it and show its data. The green line corresponds to equal female and male life expectancy. The apparent 3D volumes of the bubbles are linearly proportional to their population, i.e. their radii are linearly proportional to the cube root of the population. Data is from https://www.cia.gov/library/publications/the-world-factbook/fields/2102.html and https://www.cia.gov/library/publications/the-world-factbook/fields/2119.html . |
来源 | 自己的作品 |
作者 | Cmglee |
其他版本 | Derivative chart based on data of WHO: File:Comparison gender life expectancy WHO.svg |
SVG开发 InfoField |
Python script to fetch data and update data table
import re, os, urllib2, time, datetime, collections
data_oldss = [line.split('|') for line in '''\
-1|WORLD|69|67|71.1|7323187457|-
-20|EUROPEAN UNION|80.2|77.4|83.2|515052778|-
20|China|75.5|73.5|77.9|1373541278|ea
10|India|68.5|67.3|69.8|1266883598|as
25|USA|79.8|77.5|82.1|323995528|na
|Indonesia|72.7|70.1|75.5|258316051|ea
|Brazil|73.8|70.2|77.5|205823665|sa
|Pakistan|67.7|65.8|69.8|201995540|as
-20|Nigeria|53.4|52.4|54.5|186053386|af
|Bangladesh|73.2|71|75.4|156186882|as
-10|Russia|70.8|65|76.8|142355415|eu
1|Japan|85|81.7|88.5|126702133|ea
|Mexico|75.9|73.1|78.8|123166749|na
|Philippines|69.2|65.7|72.9|102624209|ea
|Ethiopia|62.2|59.8|64.7|102374044|af
|Vietnam|73.4|70.9|76.2|95261021|ea
|Egypt|72.7|71.4|74.2|94666993|af
|Iran|71.4|69.8|73.1|82801633|me
-15|DR Congo|57.3|55.8|58.9|81331050|af
|Germany|80.7|78.4|83.1|80722792|eu
|Turkey|74.8|72.5|77.3|80274604|me
|Thailand|74.7|71.5|78|68200824|ea
|France|81.8|78.7|85.1|66836154|eu
12|UK|80.7|78.5|83|64430428|eu
|Italy|82.2|79.6|85|62007540|eu
|Burma|66.6|64.2|69.2|56890418|ea
|South Africa|63.1|61.6|64.6|54300704|af
|Tanzania|62.2|60.8|63.6|52482726|af
|Korea, South|82.4|79.3|85.8|50924172|ea
|Spain|81.7|78.7|84.9|48563476|eu
|Colombia|75.7|72.6|79|47220856|sa
|Kenya|64|62.6|65.5|46790758|af
|Ukraine|71.8|67.1|76.9|44209733|eu
|Argentina|77.1|74|80.4|43886748|sa
|Algeria|76.8|75.5|78.2|40263711|af
|Poland|77.6|73.7|81.7|38523261|eu
|Uganda|55.4|54|56.9|38319241|af
|Iraq|74.9|72.6|77.2|38146025|me
|Sudan|64.1|62|66.3|36729501|af
|Canada|81.9|79.2|84.6|35362905|na
|Morocco|76.9|73.8|80.1|33655786|af
-15|Afghanistan|51.3|49.9|52.7|33332025|as
|Malaysia|75|72.2|78|30949962|ea
|Venezuela|75.8|72.7|78.9|30912302|sa
|Peru|73.7|71.7|75.9|30741062|sa
|Uzbekistan|73.8|70.7|77|29473614|ca
|Nepal|70.7|70.1|71.3|29033914|as
|Saudi Arabia|75.3|73.2|77.4|28160273|me
|Yemen|65.5|63.4|67.8|27392779|me
|Ghana|66.6|64.1|69.1|26908262|af
|Mozambique|53.3|52.6|54.1|25930150|af
|Korea, North|70.4|66.6|74.5|25115311|ea
|Madagascar|65.9|64.4|67.4|24430325|af
|Cameroon|58.5|57.1|59.9|24360803|af
|Cote d'Ivoire|58.7|57.5|59.9|23740424|af
|Taiwan|80.1|77|83.5|23464787|ea
|Australia|82.2|79.8|84.8|22992654|oc
|Sri Lanka|76.8|73.3|80.4|22235000|as
|Romania|75.1|71.7|78.8|21599736|eu
|Angola|56|54.8|57.2|20172332|af
|Burkina Faso|55.5|53.4|57.6|19512533|af
|Niger|55.5|54.3|56.8|18638600|af
|Malawi|61.2|59.2|63.2|18570321|af
|Kazakhstan|70.8|65.6|75.7|18360353|ca
|Chile|78.8|75.7|81.9|17650114|sa
|Mali|55.8|53.9|57.7|17467108|af
|Syria|74.9|72.5|77.4|17185170|me
|Netherlands|81.3|79.2|83.6|17016967|eu
|Ecuador|76.8|73.8|79.9|16080778|sa
|Cambodia|64.5|62|67.1|15957223|ea
|Zambia|52.5|50.8|54.1|15510711|af
|Guatemala|72.3|70.3|74.4|15189958|la
|Zimbabwe|58|57.3|58.7|14546961|af
|Senegal|61.7|59.7|63.8|14320055|af
|Rwanda|60.1|58.5|61.7|12988423|af
|Guinea|60.6|59|62.2|12093349|af
-1|Chad|50.2|49|51.5|11852462|af
|Belgium|81|78.4|83.7|11409077|eu
|Cuba|78.7|76.4|81.1|11179995|la
|Tunisia|76.1|74|78.4|11134588|af
|Burundi|60.5|58.8|62.3|11099298|af
|Bolivia|69.2|66.4|72.1|10969649|sa
|Portugal|79.3|76.1|82.8|10833816|eu
|Somalia|52.4|50.3|54.5|10817354|af
|Greece|80.5|77.9|83.3|10773253|eu
|Benin|61.9|60.5|63.3|10741458|af
|Czechia|78.6|75.7|81.8|10644842|eu
|Dominican Republic|78.1|75.9|80.5|10606865|la
|Haiti|63.8|61.2|66.4|10485800|la
|Sweden|82.1|80.2|84.1|9880604|eu
|Hungary|75.9|72.2|79.8|9874784|eu
|Azerbaijan|72.5|69.5|75.8|9872765|me
-17|Belarus|72.7|67.2|78.6|9570376|eu
|Honduras|71.1|69.5|72.8|8893259|la
|Austria|81.5|78.9|84.3|8711770|eu
|Tajikistan|67.7|64.6|71|8330946|ca
|Jordan|74.6|73.2|76.1|8185384|me
|Switzerland|82.6|80.3|85|8179294|eu
|Israel|82.4|80.6|84.4|8174527|me
|Togo|65|62.3|67.7|7756937|af
|Hong Kong|82.9|80.3|85.8|7167403|ea
|Bulgaria|74.5|71.2|78|7144653|eu
|Serbia|75.5|72.6|78.5|7143921|eu
|Laos|64.3|62.2|66.4|7019073|ea
|Paraguay|77.2|74.5|80|6862812|sa
|Papua New Guinea|67.2|65|69.5|6791317|ea
|Libya|76.5|74.7|78.3|6541948|af
|Lebanon|77.6|76.3|78.9|6237738|me
|El Salvador|74.7|71.4|78.1|6156670|la
|Sierra Leone|58.2|55.6|60.9|6018888|af
|Nicaragua|73.2|71.1|75.5|5966798|la
|United Arab Emirates|77.5|74.8|80.2|5927482|me
|Eritrea|64.9|62.4|67.5|5869869|af
10|Singapore|85|82.3|87.8|5781728|ea
|Kyrgyzstan|70.7|66.5|75.1|5727553|ca
|Denmark|79.4|77|82|5593785|eu
|Central African Republic|52.3|51|53.7|5507257|af
|Finland|80.9|77.9|84|5498211|eu
|Slovakia|77.1|73.5|80.9|5445802|eu
|Turkmenistan|70.1|67.1|73.3|5291317|ca
|Norway|81.8|79.8|83.9|5265158|eu
|Ireland|80.8|78.5|83.2|4952473|eu
|Georgia|76.2|72.1|80.6|4928052|me
|Costa Rica|78.6|75.9|81.4|4872543|la
|Congo, Republic of the|59.3|58.1|60.6|4852412|af
|New Zealand|81.2|79.1|83.3|4474549|oc
|Croatia|75.9|72.7|79.2|4313707|eu
|Liberia|59|57.3|60.8|4299944|af
|Bosnia and Herzegovina|76.7|73.7|80|3861912|eu
|Panama|78.6|75.8|81.6|3705246|la
|Mauritania|63|60.7|65.4|3677293|af
|Puerto Rico|79.4|75.8|83.1|3578056|la
|Moldova|70.7|66.9|74.8|3510485|eu
|Oman|75.5|73.5|77.5|3355262|me
|Uruguay|77.2|74.1|80.5|3351016|sa
|Armenia|74.6|71.4|78.3|3051250|me
|Albania|78.3|75.7|81.2|3038594|eu
|Mongolia|69.6|65.4|74.1|3031330|ea
|Jamaica|73.6|72|75.3|2970340|la
|Lithuania|74.9|69.5|80.6|2854235|eu
|Kuwait|78|76.6|79.4|2832776|me
|West Bank|75|73|77.1|2697687|me
|Namibia|63.6|62.1|65.1|2436469|af
|Qatar|78.7|76.7|80.8|2258283|me
1|Botswana|54.5|56.3|52.6|2209208|af
|Macedonia|76.2|73.6|79|2100025|eu
|Gambia, The|64.9|62.5|67.3|2009648|af
|Slovenia|78.2|74.6|82|1978029|eu
|Latvia|74.5|69.9|79.3|1965686|eu
|Lesotho|53|52.9|53.1|1953070|af
-2|Guinea-Bissau|50.6|48.6|52.7|1759159|af
|Gaza Strip|73.9|72.3|75.7|1753327|me
|Gabon|52.1|51.6|52.5|1738541|af
1|Swaziland|51.6|52.2|51|1451428|af
|Bahrain|78.9|76.7|81.1|1378904|me
|Mauritius|75.6|72.2|79.2|1348242|af
|Timor-Leste|68.1|66.5|69.7|1261072|ea
|Estonia|76.7|71.9|81.7|1258545|eu
|Trinidad and Tobago|72.9|69.9|75.9|1220479|la
|Cyprus|78.7|75.8|81.6|1205575|eu
|Fiji|72.7|70|75.5|915303|oc
|Djibouti|63.2|60.7|65.8|846687|af
|Comoros|64.2|61.9|66.6|794678|af
|Equatorial Guinea|64.2|63.1|65.4|759451|af
|Bhutan|70.1|69.1|71.1|750125|as
|Guyana|68.4|65.4|71.5|735909|sa
|Solomon Islands|75.3|72.7|78.1|635027|oc
-10|Macau|84.5|81.6|87.6|597425|ea
|Western Sahara|63|60.7|65.4|587020|af
|Suriname|72.2|69.8|74.8|585824|sa
|Luxembourg|82.3|79.8|84.9|582291|eu
|Cabo Verde|72.1|69.8|74.5|553432|af
|Brunei|77.2|74.8|79.6|436620|ea
|Malta|80.4|78|82.8|415196|eu
|Maldives|75.6|73.3|78|392960|as
|Belize|68.7|67.2|70.4|353858|la
|Iceland|83|80.9|85.3|335878|eu
|Bahamas, The|72.4|70|74.8|327316|la
|Barbados|75.3|73|77.7|291495|la
|French Polynesia|77.2|74.9|79.6|285321|oc
|Vanuatu|73.4|71.8|75.1|277554|oc
|New Caledonia|77.7|73.7|81.9|275355|oc
|Samoa|73.7|70.8|76.8|198926|oc
|Sao Tome and Principe|64.9|63.6|66.3|197541|af
|Saint Lucia|77.8|75|80.7|164464|la
|Guam|79.1|76.1|82.4|162742|oc
|Curacao|78.3|76|80.7|149035|la
|Aruba|76.8|73.7|79.9|113648|la
|Grenada|74.3|71.7|77.1|111219|la
|Kiribati|66.2|63.7|68.8|106925|oc
|Tonga|76.2|74.7|77.8|106513|oc
|Micronesia, Federated States of|72.9|70.8|75|104719|oc
|Virgin Islands|80|77|83.2|102951|la
|Saint Vincent and the Grenadines|75.3|73.3|77.4|102350|la
|Jersey|81.9|79.4|84.5|98069|eu
|Antigua and Barbuda|76.5|74.4|78.8|93581|la
|Seychelles|74.7|70.2|79.4|93186|af
|Isle of Man|81.2|79.5|83|88195|eu
|Andorra|82.8|80.6|85.1|85660|eu
|Dominica|77|74|80.1|73757|la
|Marshall Islands|73.1|70.9|75.4|73376|oc
|Bermuda|81.3|78.1|84.5|70537|na
|Guernsey|82.5|79.9|85.4|66297|eu
|Greenland|72.4|69.7|75.2|57728|na
|Cayman Islands|81.2|78.5|84|57268|la
|American Samoa|75.4|72.4|78.5|54194|oc
|Northern Mariana Islands|78|75.3|80.8|53467|oc
|Saint Kitts and Nevis|75.7|73.3|78.2|52329|la
|Turks and Caicos Islands|79.8|77.1|82.7|51430|la
|Faroe Islands|80.4|77.8|83.1|50456|eu
|Sint Maarten|78.1|75.8|80.6|41486|la
|Liechtenstein|81.9|79.7|84.6|37937|eu
|British Virgin Islands|78.6|77.2|80.1|34232|la
|San Marino|83.3|80.7|86.1|33285|eu
-1|Monaco|89.5|85.6|93.5|30581|eu
|Gibraltar|79.4|76.6|82.5|29328|eu
|Palau|73.1|69.9|76.5|21347|oc
|Anguilla|81.4|78.8|84.1|16752|la
|Wallis and Futuna|79.7|76.7|82.8|15664|oc
|Tuvalu|66.5|64.3|68.8|10959|oc
|Nauru|67.1|63|70.5|9591|oc
|Cook Islands|75.8|73|78.8|9556|oc
|Saint Helena, Ascension, and Tristan da Cunha|79.5|76.6|82.6|7795|af
|Saint Pierre and Miquelon|80.5|78.2|83|5595|na
1|Montserrat|74.4|75.8|72.9|5267|la
|Falkland Islands (Islas Malvinas)|77.9|75.6|79.6|2931|sa
|Svalbard|NA|NA|NA|2667|eu
|Norfolk Island|NA|NA|NA|2210|oc
|Christmas Island|NA|NA|NA|2205|oc
|Tokelau|NA|NA|NA|1285|oc
|Niue|NA|NA|NA|1190|oc
|Cocos (Keeling) Islands|NA|NA|NA|596|oc
|Pitcairn Islands|NA|NA|NA|54|oc
'''.strip().split('\n')]
# do_refresh_cache = True
def read_url(url, headers={}, path_cache=None, is_verbose=True):
if (path_cache is None):
file_cache = os.path.basename(url)
path_cache = os.path.join('%s.cache' % (os.path.splitext(__file__)[0]),
file_cache if (len(file_cache) > 0) else
'%s.htm' % (os.path.basename(url.rstrip('/'))))
if (('do_refresh_cache' in globals() and do_refresh_cache) or
(not os.path.isfile(path_cache))):
request = urllib2.Request(url, headers=headers)
try: html = urllib2.urlopen(request).read()
except urllib2.HTTPError as e: html = ''; print(e)
try: os.makedirs(os.path.dirname(path_cache))
except OSError: pass
with open(path_cache, 'wb') as f_html: f_html.write(html)
if (is_verbose): print('%s > %s' % (url, path_cache))
time.sleep(1) ## avoid rate-limit-exceeded error
else:
with open(path_cache) as f_html: html = f_html.read()
if (is_verbose): print('< %s' % (path_cache))
try: html = html.decode('utf-8')
except UnicodeDecodeError: pass
return html
def fmt(string): ## string.format(**vars()) using tags {expression!format} by CMG Lee
def f(tag): i_sep = tag.rfind('!'); return (re.sub('\.0+$', '', str(eval(tag[1:-1])))
if (i_sep < 0) else ('{:%s}' % tag[i_sep + 1:-1]).format(eval(tag[1:i_sep])))
return (re.sub(r'(?<!{){[^{}]+}', lambda m:f(m.group()), string)
.replace('{{', '{').replace('}}', '}'))
def append(obj, string): return obj.append(fmt(string))
def format_tab(*arg): return '\t'.join([str(el) for el in (arg if len(arg) > 1 else arg[0])])
def tabbify(cellss, separator='|'):
cellpadss = [list(rows) + [''] * (len(max(cellss, key=len)) - len(rows)) for rows in cellss]
fmts = ['%%%ds' % (max([len(str(cell)) for cell in cols])) for cols in zip(*cellpadss)]
return '\n'.join([separator.join(fmts) % tuple(rows) for rows in cellpadss])
def hex_rgb(colour): ## convert [#]RGB to #RRGGBB and [#]RRGGBB to #RRGGBB
return '#%s' % (colour if len(colour) > 4 else ''.join([c * 2 for c in colour])).lstrip('#')
def try_int_float(field):
try: return int(field)
except:
try: return float(field)
except: return field
def roundm(x, multiple=1):
try: x[0]; return [roundm(element, multiple) for element in x] ## x[0] checks if x is iterable
except: return int(math.floor(float(x) / multiple + 0.5)) * multiple
def findall(regex, string):
return re.findall(regex, string, flags=re.I|re.DOTALL)
def sub(regex_replace, regex_with, string):
return str(re.sub(regex_replace, regex_with, string, flags=re.DOTALL).strip())
def make_serial(name): return sub(r'[^a-z]', '', name.lower())
def make_table(datass):
return '\n'.join(['|'.join([str(data) for data in datas]) for datas in datass])
data_newss = {}
html_expectancy = read_url('http://cia.gov/library/publications/resources/the-world-factbook/fields/355.html')
html_expectancyss = findall(r'(<td.+?</td>)\s*(<td.+?</td>)', html_expectancy)
for html_expectancys in html_expectancyss:
html_divs = findall(r'<div.+?</div>', html_expectancys[1])
name = sub(r'<.*?>', '', html_expectancys[0])
serial = make_serial(name)
# expectancy_male = None
# expectancy_female = None
# try: expectancy_male = float(findall(r'[\d.]+(?= years)', html_divs[1])[0])
# except Exception: pass
# try: expectancy_female = float(findall(r'[\d.]+(?= years)', html_divs[2])[0])
# except Exception: pass
# if (not serial in data_newss): data_newss[serial] = {}
# data_newss[serial]['male' ] = expectancy_male
# data_newss[serial]['female'] = expectancy_female
try:
expectancy_overall = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[0])[0])
expectancy_male = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[1])[0])
expectancy_female = float(findall(r'(?:[\d.]+(?= years)|\d+\.\d+)', html_divs[2])[0])
if (not serial in data_newss): data_newss[serial] = {}
data_newss[serial]['overall'] = expectancy_overall
data_newss[serial]['male' ] = expectancy_male
data_newss[serial]['female' ] = expectancy_female
except Exception: pass
html_population = read_url('http://cia.gov/library/publications/resources/the-world-factbook/fields/335.html')
html_populationss = findall(r'(<td.+?</td>)\s*(<td.+?</td>)', html_population)
for html_populations in html_populationss:
name = sub(r'<.*?>', '', html_populations[0])
serial = make_serial(name)
# population = None
# if (not 'no indigenous' in html_populations[1]):
# try: population = int(sub(',','',findall(r'[\d,]+', html_populations[1])[0]))
# except Exception: pass
# if (not serial in data_newss): data_newss[serial] = {}
# data_newss[serial]['population'] = population
if (not 'no indigenous' in html_populations[1]):
try:
population = int(sub(',','',findall(r'[\d,]+', html_populations[1])[0]))
if (not serial in data_newss): data_newss[serial] = {}
data_newss[serial]['name'] = name
data_newss[serial]['population'] = population
except Exception: pass
outss = []
for serial in sorted(data_newss):
data_news = data_newss[serial]
try: outss.append([serial, data_news['name'], data_news['population'],
data_news['overall'], data_news['male'], data_news['female']])
# data_news['population'] if ('population' in data_news) else None,
# data_news['male'] if ('male' in data_news) else None,
# data_news['female'] if ('female' in data_news) else None])
except Exception: pass
# print(data_newss.pop(serial))
# print(tabbify(outss))
outss = []
# print(tabbify(data_oldss))
map_keeps = {'usa':'unitedstates', 'uk':'unitedkingdom', 'drcongo':'congodemocraticrepublicofthe'}
map_changes = {'swaziland':'eswatini'}
for data_olds in data_oldss:
name = data_olds[1]
serial = make_serial(name)
data_news = None
try:
if (serial in map_keeps): serial = map_keeps[serial]
if (serial in map_changes):
serial = map_changes[serial]
data_news = data_newss[serial]
name = data_news['name']
else:
data_news = data_newss[serial]
except Exception: pass
outss.append([data_olds[0],
name,
# data_news['name' ] if ('name' in data_news) else 'NA',
data_news['overall' ] if ('overall' in data_news) else 'NA',
data_news['male' ] if ('male' in data_news) else 'NA',
data_news['female' ] if ('female' in data_news) else 'NA',
data_news['population'] if ('population' in data_news) else 'NA',
data_olds[6]])
# outss.append(data_olds)
if (name != data_news['name']): print(name, data_news['name'])
# print(tabbify(outss))
outss = outss[:2] + sorted(outss[2:], key=lambda lines:lines[5], reverse=True)
dir_cache = '%s.cache' % (os.path.splitext(__file__)[0])
with open(os.path.join(dir_cache, 'old.txt'), 'w') as f: f.write(make_table(data_oldss))
with open(os.path.join(dir_cache, 'new.txt'), 'w') as f: f.write(make_table(outss))
许可协议
我,本作品著作权人,特此采用以下许可协议发表本作品:
![w:zh:知识共享](https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/CC_some_rights_reserved.svg/90px-CC_some_rights_reserved.svg.png)
![署名](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
![相同方式共享](https://upload.wikimedia.org/wikipedia/commons/thumb/d/df/Cc-sa_white.svg/24px-Cc-sa_white.svg.png)
本文件采用知识共享署名-相同方式共享 3.0 未本地化版本许可协议授权。
- 您可以自由地:
- 共享 – 复制、发行并传播本作品
- 修改 – 改编作品
- 惟须遵守下列条件:
- 署名 – 您必须对作品进行署名,提供授权条款的链接,并说明是否对原始内容进行了更改。您可以用任何合理的方式来署名,但不得以任何方式表明许可人认可您或您的使用。
- 相同方式共享 – 如果您再混合、转换或者基于本作品进行创作,您必须以与原先许可协议相同或相兼容的许可协议分发您贡献的作品。
![]() |
已授权您依据自由软件基金会发行的无固定段落及封面封底文字(Invariant Sections, Front-Cover Texts, and Back-Cover Texts)的GNU自由文件许可协议1.2版或任意后续版本的条款,复制、传播和/或修改本文件。该协议的副本请见“GNU Free Documentation License”。http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
您可以选择您需要的许可协议。
说明
添加一行文字以描述该文件所表现的内容
此文件中描述的项目
描繪內容
image/svg+xml
130,119 字节
448 像素
512 像素
文件历史
点击某个日期/时间查看对应时刻的文件。
日期/时间 | 缩略图 | 大小 | 用户 | 备注 | |
---|---|---|---|---|---|
当前 | 2019年2月27日 (三) 22:21 | ![]() | 512 × 448(127 KB) | Cmglee | Update with 2018 data. |
2017年6月19日 (一) 19:59 | ![]() | 512 × 448(127 KB) | Cmglee | Update with 2016 data. | |
2016年2月7日 (日) 01:42 | ![]() | 512 × 512(128 KB) | Cmglee | Add interactivity using CSS and title tag. | |
2015年6月28日 (日) 04:34 | ![]() | 512 × 512(95 KB) | Leftcry | Fix | |
2015年6月25日 (四) 03:49 | ![]() | 512 × 512(95 KB) | Leftcry | Europe classification | |
2011年11月20日 (日) 21:26 | ![]() | 512 × 512(59 KB) | Cmglee | Update colours. | |
2011年11月20日 (日) 20:21 | ![]() | 512 × 512(59 KB) | Cmglee | {{Information |Description ={{en|1=Comparison of male and female life expectancy at birth for countries and territories as defined in the 2011 CIA Factbook, with selected bubbles labelled. The dotted line corresponds to equal female and male life expec |
文件用途
以下页面使用本文件:
全域文件用途
以下其他wiki使用此文件:
- ar.wikipedia.org上的用途
- as.wikipedia.org上的用途
- be-tarask.wikipedia.org上的用途
- bn.wikipedia.org上的用途
- bs.wikipedia.org上的用途
- el.wikipedia.org上的用途
- en.wikipedia.org上的用途
- gl.wikipedia.org上的用途
- he.wikipedia.org上的用途
- id.wikipedia.org上的用途
- it.wikipedia.org上的用途
- ja.wikipedia.org上的用途
- ro.wikipedia.org上的用途
- sh.wikipedia.org上的用途
- sr.wikipedia.org上的用途
- th.wikipedia.org上的用途
- uk.wikipedia.org上的用途
- uz.wikipedia.org上的用途
- wikimania2016.wikimedia.org上的用途
- zh-yue.wikipedia.org上的用途
元数据
此文件中包含有扩展的信息。这些信息可能是由数码相机或扫描仪在创建或数字化过程中所添加。
如果此文件的源文件已经被修改,一些信息在修改后的文件中将不能完全反映出来。
简短标题 | comparison gender life expectancy CIA factbook |
---|---|
图像标题 | Comparison of male and female life expectancy at birth (2018 estimate) for countries and territories as defined in the CIA Factbook, with selected bubbles labelled, by CMG Lee. Hover over a bubble to highlight it and show its data. The dotted line corresponds to equal female and male life expectancy. The apparent 3D volumes of the bubbles are linearly proportional to their populations, i.e. their radii are linearly proportional to the cube root of the populations. Data is from -{R|https://www.cia.gov/library/publications/resources/the-world-factbook/fields/355.html}- and -{R|https://www.cia.gov/library/publications/resources/the-world-factbook/fields/335.html}- . |
宽度 | 100% |
高度 | 100% |
隐藏分类: