Датотека:Comparison gender life expectancy CIA factbook.svg
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Опис
ОписComparison 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 . |
Извор | Сопствено дело |
Аутор | Cmglee |
Остале верзије | Derivative chart based on data of WHO: File:Comparison gender life expectancy WHO.svg |
SVG genesis InfoField | This flag uses embedded text that can be easily translated using a text editor. |
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))
Лиценцирање
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Ова датотека је доступна под лиценцом Creative Commons Ауторство-Делити под истим условима 3.0 Unported.
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- да делите – да умножавате, расподељујете и преносите дело
- да прерађујете – да прерадите дело
- Под следећим условима:
- ауторство – Морате да дате одговарајуће заслуге, обезбедите везу ка лиценци и назначите да ли су измене направљене. Можете то урадити на било који разуман манир, али не на начин који предлаже да лиценцатор одобрава вас или ваше коришћење.
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Дата је дозвола да се копира, дистрибуира и/или мења овај документ под условима ГНУ-ове лиценце за слободну документацију, верзије 1.2 или било које новије верзије коју објави Задужбина за слободни софтвер; без непроменљивих одељака и без текста на насловној и задњој страни. Текст лиценце можете прочитати овде.http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
Изаберите лиценцу по жељи.
Ставке приказане у овој датотеци
приказује
Нека вредност без ставке на Википодаци
image/svg+xml
70ad5dbacbff2843897fff5dd186c06900a6682e
130.119 бајт
448 пиксел
512 пиксел
Историја датотеке
Кликните на датум/време да бисте видели тадашњу верзију датотеке.
Датум/време | Минијатура | Димензије | Корисник | Коментар | |
---|---|---|---|---|---|
тренутна | 00:21, 28. фебруар 2019. | 512 × 448 (127 kB) | Cmglee | Update with 2018 data. | |
21:59, 19. јун 2017. | 512 × 448 (127 kB) | Cmglee | Update with 2016 data. | ||
03:42, 7. фебруар 2016. | 512 × 512 (128 kB) | Cmglee | Add interactivity using CSS and title tag. | ||
06:34, 28. јун 2015. | 512 × 512 (95 kB) | Leftcry | Fix | ||
05:49, 25. јун 2015. | 512 × 512 (95 kB) | Leftcry | Europe classification | ||
23:26, 20. новембар 2011. | 512 × 512 (59 kB) | Cmglee | Update colours. | ||
22:21, 20. новембар 2011. | 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 |
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Метаподаци
Ова датотека садржи додатне податке, који вероватно долазе од дигиталног фотоапарата или скенера коришћеног за дигитализацију.
Ако је првобитно стање датотеке промењено, могуће је да неки детаљи не описују измењену датотеку у потпуности.
Кратак наслов | comparison gender life expectancy CIA factbook |
---|---|
Назив слике | 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}- . |
Ширина | 100% |
Висина | 100% |