تضامنًا مع حق الشعب الفلسطيني |
ملف:Comparison gender life expectancy CIA factbook.svg
من أرابيكا، الموسوعة الحرة
اذهب إلى التنقل
اذهب إلى البحث
![ملف:Comparison gender life expectancy CIA factbook.svg](https://upload.wikimedia.org/wikipedia/commons/thumb/b/b2/Comparison_gender_life_expectancy_CIA_factbook.svg/512px-Comparison_gender_life_expectancy_CIA_factbook.svg.png)
حجم معاينة PNG لذلك الملف ذي الامتداد SVG: 512 × 448 بكسل. الأبعاد الأخرى: 274 × 240 بكسل | 549 × 480 بكسل | 878 × 768 بكسل | 1٬170 × 1٬024 بكسل | 2٬341 × 2٬048 بكسل.
الملف الأصلي (ملف SVG، أبعاده 512 × 448 بكسل، حجم الملف: 127 كيلوبايت)
![]() | هذا ملف من ويكيميديا كومنز. معلومات من صفحة وصفه مبينة في الأسفل. كومنز مستودع ملفات ميديا ذو رخصة حرة. |
ملخص
الوصفComparison 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 . |
المصدر | عمل شخصي |
المؤلف | Cmglee |
إصدارات أخرى | Derivative chart based on data of WHO: File:Comparison gender life expectancy WHO.svg |
SVG منشأ الملف InfoField | ![]() الشيفرة المصدرية لهذا الرسم المتجه صالحة. ![]() هذا الرسم المتجهي أُنشئ بواسطة unknown tool ![]() 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))
ترخيص
أنا، صاحب حقوق التأليف والنشر لهذا العمل، أنشر هذا العمل تحت الرخص التالية:
![w:ar:مشاع إبداعي](https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/CC_some_rights_reserved.svg/90px-CC_some_rights_reserved.svg.png)
![نسب العمل إلى مُؤَلِّفه](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
![الإلزام بترخيص المُشتقات بالمثل](https://upload.wikimedia.org/wikipedia/commons/thumb/d/df/Cc-sa_white.svg/24px-Cc-sa_white.svg.png)
هذا الملفُّ مُرخَّص بموجب رخصة المشاع الإبداعي نسبة المُصنَّف إِلى مُؤَلِّفه - المشاركة بالمثل 3.0 العامة
- يحقُّ لك:
- مشاركة العمل – نسخ العمل وتوزيعه وبثُّه
- إعادة إنتاج العمل – تعديل العمل
- حسب الشروط التالية:
- نسب العمل إلى مُؤَلِّفه – يلزم نسب العمل إلى مُؤَلِّفه بشكل مناسب وتوفير رابط للرخصة وتحديد ما إذا أجريت تغييرات. بالإمكان القيام بذلك بأية طريقة معقولة، ولكن ليس بأية طريقة تشير إلى أن المرخِّص يوافقك على الاستعمال.
- الإلزام بترخيص المُشتقات بالمثل – إذا أعدت إنتاج المواد أو غيرت فيها، فيلزم أن تنشر مساهماتك المُشتقَّة عن الأصل تحت ترخيص الأصل نفسه أو تحت ترخيص مُتوافِقٍ معه.
![]() |
يسمح نسخ وتوزيع و/أو تعديل هذه الوثيقة تحت شروط رخصة جنو للوثائق الحرة، الإصدار 1.2 أو أي إصدار لاحق تنشره مؤسسة البرمجيات الحرة؛ دون أقسام ثابتة ودون نصوص أغلفة أمامية ودون نصوص أغلفة خلفية. نسخة من الرخصة تم تضمينها في القسم المسمى GNU Free Documentation License.http://www.gnu.org/copyleft/fdl.htmlGFDLGNU Free Documentation Licensetruetrue |
لك أن تختار الرخصة التي تناسبك.
الشروحات
أضف شرحاً من سطر واحد لما يُمثِّله هذا الملف
العناصر المصورة في هذا الملف
يُصوِّر
قيمة ما بدون عنصر ويكي بيانات
image/svg+xml
70ad5dbacbff2843897fff5dd186c06900a6682e
١٣٠٬١١٩ بايت
٤٤٨ بكسل
٥١٢ بكسل
تاريخ الملف
اضغط على زمن/تاريخ لرؤية الملف كما بدا في هذا الزمن.
زمن/تاريخ | صورة مصغرة | الأبعاد | مستخدم | تعليق | |
---|---|---|---|---|---|
حالي | 02:21، 28 فبراير 2019 | ![]() | 512 × 448 (127 كيلوبايت) | commonswiki>Cmglee | Update with 2018 data. |
استخدام الملف
ال1 ملف التالي مكررات لهذا الملف (المزيد من التفاصيل):
- ملف:Comparison gender life expectancy CIA factbook.svg من ويكيميديا كومنز
الصفحة التالية تستخدم هذا الملف:
بيانات وصفية
هذا الملف يحتوي على معلومات إضافية، غالبا ما تكون أضيفت من قبل الكاميرا الرقمية أو الماسح الضوئي المستخدم في إنشاء الملف.
إذا كان الملف قد عدل عن حالته الأصلية، فبعض التفاصيل قد لا تعبر عن الملف المعدل.
عنوان قصير | comparison gender life expectancy CIA factbook |
---|---|
عنوان الصورة | 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 https://www.cia.gov/library/publications/resources/the-world-factbook/fields/355.html and https://www.cia.gov/library/publications/resources/the-world-factbook/fields/335.html . |
العرض | 100% |
الارتفاع | 100% |