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78e6609
Adding gitignore
MarCanovas Jul 10, 2020
12744b8
dataset animals
mg365 Jul 13, 2020
a4a557b
Mar files
MarCanovas Jul 13, 2020
636705f
Adding climate change datasetç
MarCanovas Jul 13, 2020
d21697d
Adding notebook
MarCanovas Jul 13, 2020
8d31e6d
commiting carlespart
Carleto04 Jul 13, 2020
1747887
temperatures data
MarCanovas Jul 13, 2020
a9ab140
dataset animals
mg365 Jul 13, 2020
32bfc14
Merge branch 'master' of https://github.com/MarCanovas/Project-Week-3…
mg365 Jul 13, 2020
0d12553
data.csv contains temperature data too
MarCanovas Jul 13, 2020
222beea
Add files via upload
MarCanovas Jul 13, 2020
4f337ac
commiting world population data
Carleto04 Jul 13, 2020
7e56836
Merge branch 'master' of https://github.com/MarCanovas/Project-Week-3…
Carleto04 Jul 13, 2020
94e78df
Merge branch 'master' of https://github.com/MarCanovas/Project-Week-3…
MarCanovas Jul 14, 2020
79fb1ef
Complete Dataset Created
MarCanovas Jul 14, 2020
6675a63
Modified by Mar to generate csv of the dataframe
MarCanovas Jul 14, 2020
97a1b5e
Data cleaned and divided
MarCanovas Jul 14, 2020
c656abc
Adding readme
MarCanovas Jul 14, 2020
2b6ffd8
committing ERD
Carleto04 Jul 14, 2020
b06543d
bla
Carleto04 Jul 14, 2020
77a9681
article
mg365 Jul 14, 2020
d297720
Indexed data
MarCanovas Jul 15, 2020
be70d1e
Adding full indexed files
MarCanovas Jul 15, 2020
fe25bad
Adding it right this time
MarCanovas Jul 15, 2020
7b8b9be
Pie charts
MarCanovas Jul 16, 2020
24036bf
Update README.md
MarCanovas Jul 16, 2020
c772425
Update README.md
MarCanovas Jul 16, 2020
9b69065
latest changes in article
mg365 Jul 17, 2020
8ed6142
changes in article
mg365 Jul 17, 2020
73e443f
Adding images
MarCanovas Jul 17, 2020
b130514
checkpoint
Carleto04 Jul 17, 2020
e3c751d
checkpoint
Carleto04 Jul 17, 2020
acbb986
checkpoint
Carleto04 Jul 17, 2020
40bab44
checkpoint
Carleto04 Jul 17, 2020
2ca7f77
Draft directory
MarCanovas Jul 17, 2020
519a842
Restructuring
MarCanovas Jul 17, 2020
89ddfad
checkpoint
Carleto04 Jul 17, 2020
12c7ddf
readme updated
Carleto04 Jul 17, 2020
3d3433f
commiting last changes in paper, gitignore and readme
Carleto04 Jul 17, 2020
4882d1e
checkpoint
Carleto04 Jul 17, 2020
46790ea
articlefinished?
mg365 Jul 17, 2020
2700ed9
sss
Carleto04 Aug 12, 2020
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4,452 changes: 4,452 additions & 0 deletions drafts/Carles_part/.ipynb_checkpoints/Brazil Population Data-checkpoint.ipynb

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Large diffs are not rendered by default.

14 changes: 14 additions & 0 deletions drafts/Carles_part/5e2073ba-5d1d-405c-8fad-5d51b9df65ec_Data.csv
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Series Name,"Series Code","Country Name","Country Code","1960 [YR1960]","1961 [YR1961]","1962 [YR1962]","1963 [YR1963]","1964 [YR1964]","1965 [YR1965]","1966 [YR1966]","1967 [YR1967]","1968 [YR1968]","1969 [YR1969]","1970 [YR1970]","1971 [YR1971]","1972 [YR1972]","1973 [YR1973]","1974 [YR1974]","1975 [YR1975]","1976 [YR1976]","1977 [YR1977]","1978 [YR1978]","1979 [YR1979]","1980 [YR1980]","1981 [YR1981]","1982 [YR1982]","1983 [YR1983]","1984 [YR1984]","1985 [YR1985]","1986 [YR1986]","1987 [YR1987]","1988 [YR1988]","1989 [YR1989]","1990 [YR1990]","1991 [YR1991]","1992 [YR1992]","1993 [YR1993]","1994 [YR1994]","1995 [YR1995]","1996 [YR1996]","1997 [YR1997]","1998 [YR1998]","1999 [YR1999]","2000 [YR2000]","2001 [YR2001]","2002 [YR2002]","2003 [YR2003]","2004 [YR2004]","2005 [YR2005]","2006 [YR2006]","2007 [YR2007]","2008 [YR2008]","2009 [YR2009]","2010 [YR2010]","2011 [YR2011]","2012 [YR2012]","2013 [YR2013]","2014 [YR2014]","2015 [YR2015]","2016 [YR2016]","2017 [YR2017]","2018 [YR2018]","2019 [YR2019]"
"Population, total","SP.POP.TOTL","World","WLD","3031437775","3072480998","3125456671","3190564032","3256064767","3322973367","3393031801","3462460201","3532826854","3607499991","3682911039","3760509002","3836892580","3912347640","3988478324","4062864562","4135418002","4207766711","4281312782","4356746035","4432925590","4511137170","4592341169","4674266079","4755914211","4839074592","4924736807","5012555212","5101297281","5189996799","5280076284","5368065408","5452349932","5537511534","5621787194","5706689090","5789623839","5872254361","5954005524","6034491778","6114332536","6193671787","6272752974","6351882361","6431551644","6511748367","6592734542","6674203658","6756917904","6839574284","6921871614","7002860604","7085763408","7169640142","7254228377","7338964960","7424282488","7509065705","7591932906.5","7673533972"
Population ages 0-14 (% of total population),"SP.POP.0014.TO.ZS","World","WLD","37.1727692841888","37.3493978325141","37.5715151363972","37.7813235491351","37.9023295512955","37.9162745538424","38.0038269742696","37.9573702748297","37.830122486265","37.6788199641691","37.5427809361355","37.4661458430156","37.3667135727093","37.245442748214","37.0742727593284","36.8450163907011","36.6324369946426","36.3553794224852","36.030228096604","35.6819916462075","35.3309495410141","34.9957566134071","34.6845505393521","34.3870913470207","34.0920344058281","33.8001085293128","33.6304375309764","33.4488813380672","33.2615538291184","33.0653111879959","32.8573354500794","32.7374651155119","32.5354202734377","32.2831885968721","32.0213283574639","31.7657147967095","31.423058214376","31.1421103433784","30.8736968070594","30.5527923984899","30.1581954966186","29.8247211540562","29.4135464833786","28.9637193867385","28.5406214628097","28.1777542174702","27.8758956079056","27.6218605506578","27.4069445201475","27.2092515515278","27.0154361683035","26.8583231658647","26.6941200115422","26.5292486107741","26.369451489086","26.2157038055462","26.0741228258783","25.9352650201403","25.7959712815532","25.6488355687986"
Population ages 15-64 (% of total population),"SP.POP.1564.TO.ZS","World","WLD","57.8572121265997","57.6336265068133","57.3858737378888","57.1663877887981","57.0409422442745","57.0258670654146","56.8816046228779","56.8740430137226","56.9517145589633","57.0581645911857","57.1552538934822","57.1651371085331","57.2058397088334","57.2750197855291","57.3960228206344","57.5757220783054","57.7089774708877","57.9081901847644","58.1629011851312","58.4575433010003","58.7762071965067","59.0768088531452","59.3792875776411","59.6809785776463","59.977806883565","60.2611182231022","60.3938114215079","60.53505776492","60.6780300890315","60.8253654369914","60.9810682366699","61.027696892273","61.1497478791798","61.323546029424","61.5138834944902","61.7085191326461","61.9634823313202","62.1744612367753","62.3822463491447","62.6412037620966","62.9677143215348","63.2171139211432","63.5409648259275","63.9058568643758","64.2570556087916","64.5646846351064","64.7965655455131","64.9947897965482","65.1584265550791","65.297546746459","65.4174220166435","65.473772183339","65.5249627290531","65.5624423534255","65.5758196340504","65.5613661395616","65.4991112069102","65.4189133001257","65.3308998355387","65.2520417484969"
Population ages 65 and above (% of total population),"SP.POP.65UP.TO.ZS","World","WLD","4.9700185892115","5.01697566067259","5.04261112571407","5.05228866206681","5.05672820443001","5.05785838074305","5.11456840285246","5.16858671144764","5.21816295477167","5.2630154446452","5.30196517038229","5.36871704845125","5.42744671845728","5.47953746625693","5.5297044200372","5.57926153099356","5.65858553446977","5.73643039275044","5.80687071826484","5.86046505279216","5.89284326247916","5.92743453344778","5.93616188300688","5.93193007533304","5.93015871060684","5.93877324758497","5.97575104751567","6.01606089701282","6.06041608185018","6.10932337501275","6.16159631325071","6.23483799221521","6.31483184738249","6.39326537370387","6.4647881480459","6.52576607064437","6.61345945430377","6.68342841984633","6.744056843796","6.80600383941356","6.87409018184661","6.9581649248006","7.04548869069386","7.13042374888567","7.20232292839875","7.25756114742335","7.3275388465813","7.38334965279406","7.43462892477349","7.49320170201316","7.56714181505302","7.66790465079635","7.7809172594047","7.90830903580034","8.05472887686356","8.22293005489227","8.42676596721152","8.64582167973406","8.87312888290815","9.09912268270451"
"Age dependency ratio, young (% of working-age population)","SP.POP.DPND.YG","World","WLD","64.2491538443138","64.8048720325638","65.4717137569898","66.0901010430856","66.4475870535859","66.4896065236656","66.81215728879","66.7393565509109","66.4249055057794","66.035807994211","65.6856165452969","65.5402010558395","65.3197535854724","65.0291223286554","64.5938009887485","63.994015250299","63.4778825697658","62.7810665307365","61.9470956609722","61.0391571014542","60.1109721590885","59.2377233997414","58.411867144892","57.6181760121257","56.8410819446008","56.0894148226517","55.685237873693","55.255388402002","54.8164694679021","54.361056409245","53.8812068107265","53.6436189119508","53.2061396358727","52.6440343849981","52.0554491782029","51.4770332200603","50.7122212406358","50.0882672863906","49.49115918011","48.7742741429234","47.8946963729018","47.1782391357299","46.2906829355286","45.3224803924072","44.4163231660323","43.642673012522","43.0206376028533","42.4985766758543","42.0620109344733","41.6696383752799","41.2970052275977","41.0214997146736","40.7388555810325","40.4640944887132","40.2121569496512","39.9865123826575","39.8083611429118","39.6449035108907","39.4851002839596","39.307330269175"
"Age dependency ratio, old (% of working-age population)","SP.POP.DPND.OL","World","WLD","8.59014521273539","8.70494525743519","8.78719949976122","8.83786593073994","8.86508546018277","8.86941084846828","8.99160377188482","9.08777777293604","9.1624334728332","9.22394796330449","9.27642672576765","9.39159300760175","9.48757451561069","9.56706344639619","9.63429901017333","9.69030235125675","9.80538187738467","9.90607800373806","9.98380516151531","10.0251648233074","10.025899141248","10.0334372370162","9.99702456651447","9.9393980829051","9.88725512256139","9.8550666803066","9.89464131497721","9.93814343257749","9.98782598107579","10.044038915333","10.1041135210982","10.2164071823144","10.3268321262348","10.4254658768988","10.5094780915103","10.5751461659314","10.6731564793018","10.749475376166","10.8108591525846","10.8650591657694","10.916848739471","11.0067741350871","11.0881046582022","11.1576999119812","11.208610221695","11.2407599175305","11.3085297122495","11.3599100601733","11.4100804886912","11.475471894416","11.5674716726005","11.7114142664218","11.8747373671278","12.0622551287008","12.2830776704825","12.5423408954537","12.8654659937668","13.216088765299","13.5818255242687","13.9445792798212"
"Death rate, crude (per 1,000 people)","SP.DYN.CDRT.IN","World","WLD","17.7144965104717","14.9992219278917","13.9525851975272","13.7356073926076","13.790506550423","13.2055373203129","12.8630992408174","12.6003195611162","12.4595141125675","12.2664659679054","11.9924810947911","11.7570192751618","11.6623779336331","11.4184281395174","11.3087516251827","11.1632121099163","11.0047084131797","10.7375947252572","10.4838821816121","10.313781346229","10.2724592179457","10.1121514554384","10.0244287087102","10.0200621979893","9.89373621914239","9.78096766015481","9.63761891878159","9.50268855315225","9.39776068812723","9.27059610207511","9.22561799846436","9.16192437121056","9.07804040764651","9.09901976796462","9.00915096089291","8.95425723724365","8.84625544713066","8.74186341245592","8.66065092235144","8.62147585574372","8.54927978838986","8.47222266636197","8.41608133402138","8.38040306036602","8.24298202883479","8.21637768410848","8.14344046495336","8.07425871205134","8.02449818545051","7.91204635209048","7.84911260594064","7.76754365339008","7.71764769738104","7.65437425088011","7.59598244899748","7.59287739406896","7.54448509557344","7.54117434004","7.52882617072204",".."
"Birth rate, crude (per 1,000 people)","SP.DYN.CBRT.IN","World","WLD","31.752681731627","31.0314178550872","34.883115079793","36.0559988388688","34.9474743096983","34.3329106440544","33.3025178144323","33.0356029542538","33.1813648182087","32.6694877744159","32.373128532903","31.5689546352204","31.0708060092953","30.451411115926","29.6058642484671","28.9815927182302","28.1478624126246","27.8224605297184","27.5521433825465","27.4134250110403","27.4215317430027","27.8918317928001","28.0919774970334","27.4872586111126","27.2217119738044","27.2540424297263","27.3320386291","27.2754192659122","26.7903496222099","26.2736854429037","25.8785238872697","25.2140674358194","24.5822373079288","24.1825404886932","23.8044195146008","23.3679398414416","23.079145530364","22.7492551928179","22.3364943889099","21.9105336473696","21.6493505242873","21.3073537595864","21.0539866898613","20.838567643722","20.6850956332548","20.5514927601727","20.4000227851903","20.3062686901473","20.1954915883943","20.0026240994212","19.7814072497411","19.5996335408424","19.4858123542677","19.2778673106196","19.1954906697511","18.9754755927485","18.9627194960505","18.6334973933558","18.1748551226505",".."
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Data from database: World Development Indicators,"","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
Last Updated: 07/01/2020,"","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
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