Home World Data [OC] Turkish provinces based on life expectancy and GDP (PPP) per capitaDData[OC] Turkish provinces based on life expectancy and GDP (PPP) per capitaSeptember 19, 2024 [OC] Turkish provinces based on life expectancy and GDP (PPP) per capita Posted by turkish__cowboy 2 commentsI created this chart using R Studio, Microsoft Excel and Adobe Illustrator.There’s unfortunately a five-year gap between data sets, but the overall change in life expectancy does not exceed 0.5. [Source 1](https://data-explorer.oecd.org/vis?lc=en&fs%5B0%5D=Topic%2C1%7CRegional%252C%20rural%20and%20urban%20development%23GEO%23%7CRegions%23GEO_REG%23&pg=20&fc=Topic&bp=true&snb=77&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_DEMO%40DF_LIFE_EXP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A.TL3.TR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR423%2BTR424%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR633%2BTR632%2BTR711%2BTR712%2BTR713%2BTR715%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR832%2BTR831%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTR906%2BTRA12%2BTRA11%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB14%2BTRB13%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC11%2BTRC12%2BTRC13%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34…..&to[TIME_PERIOD]=false&pd=%2C&ly[cl]=TIME_PERIOD&ly[rs]=SEX&ly[rw]=COMBINED_REF_AREA&vw=ov), [source 2](https://data-explorer.oecd.org/vis?lc=en&tm=GDP&pg=0&snb=364&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_ECO%40DF_GDP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A..TR906%2BTR715%2BTR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR424%2BTR423%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR632%2BTR633%2BTR711%2BTR712%2BTR713%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR831%2BTR832%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTRA11%2BTRA12%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB13%2BTRB14%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC12%2BTRC13%2BTRC11%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34..GDP..Q.USD_PPP_PS&pd=2022%2C&to[TIME_PERIOD]=false&vw=ov&ly[rw]=COMBINED_REF_AREA)Is there any correlation? What’s r2?Leave a ReplyYou must be logged in to post a comment.
I created this chart using R Studio, Microsoft Excel and Adobe Illustrator.There’s unfortunately a five-year gap between data sets, but the overall change in life expectancy does not exceed 0.5. [Source 1](https://data-explorer.oecd.org/vis?lc=en&fs%5B0%5D=Topic%2C1%7CRegional%252C%20rural%20and%20urban%20development%23GEO%23%7CRegions%23GEO_REG%23&pg=20&fc=Topic&bp=true&snb=77&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_DEMO%40DF_LIFE_EXP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A.TL3.TR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR423%2BTR424%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR633%2BTR632%2BTR711%2BTR712%2BTR713%2BTR715%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR832%2BTR831%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTR906%2BTRA12%2BTRA11%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB14%2BTRB13%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC11%2BTRC12%2BTRC13%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34…..&to[TIME_PERIOD]=false&pd=%2C&ly[cl]=TIME_PERIOD&ly[rs]=SEX&ly[rw]=COMBINED_REF_AREA&vw=ov), [source 2](https://data-explorer.oecd.org/vis?lc=en&tm=GDP&pg=0&snb=364&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_ECO%40DF_GDP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A..TR906%2BTR715%2BTR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR424%2BTR423%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR632%2BTR633%2BTR711%2BTR712%2BTR713%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR831%2BTR832%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTRA11%2BTRA12%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB13%2BTRB14%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC12%2BTRC13%2BTRC11%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34..GDP..Q.USD_PPP_PS&pd=2022%2C&to[TIME_PERIOD]=false&vw=ov&ly[rw]=COMBINED_REF_AREA)
2 comments
I created this chart using R Studio, Microsoft Excel and Adobe Illustrator.
There’s unfortunately a five-year gap between data sets, but the overall change in life expectancy does not exceed 0.5. [Source 1](https://data-explorer.oecd.org/vis?lc=en&fs%5B0%5D=Topic%2C1%7CRegional%252C%20rural%20and%20urban%20development%23GEO%23%7CRegions%23GEO_REG%23&pg=20&fc=Topic&bp=true&snb=77&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_DEMO%40DF_LIFE_EXP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A.TL3.TR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR423%2BTR424%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR633%2BTR632%2BTR711%2BTR712%2BTR713%2BTR715%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR832%2BTR831%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTR906%2BTRA12%2BTRA11%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB14%2BTRB13%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC11%2BTRC12%2BTRC13%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34…..&to[TIME_PERIOD]=false&pd=%2C&ly[cl]=TIME_PERIOD&ly[rs]=SEX&ly[rw]=COMBINED_REF_AREA&vw=ov), [source 2](https://data-explorer.oecd.org/vis?lc=en&tm=GDP&pg=0&snb=364&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_REG_ECO%40DF_GDP&df%5Bag%5D=OECD.CFE.EDS&df%5Bvs%5D=2.0&dq=A..TR906%2BTR715%2BTR100%2BTR211%2BTR212%2BTR213%2BTR221%2BTR222%2BTR310%2BTR321%2BTR322%2BTR323%2BTR331%2BTR332%2BTR333%2BTR334%2BTR411%2BTR412%2BTR413%2BTR421%2BTR422%2BTR424%2BTR423%2BTR425%2BTR510%2BTR521%2BTR522%2BTR611%2BTR612%2BTR613%2BTR621%2BTR622%2BTR631%2BTR632%2BTR633%2BTR711%2BTR712%2BTR713%2BTR714%2BTR721%2BTR722%2BTR723%2BTR811%2BTR812%2BTR813%2BTR821%2BTR822%2BTR823%2BTR831%2BTR832%2BTR833%2BTR834%2BTR901%2BTR902%2BTR903%2BTR904%2BTR905%2BTRA11%2BTRA12%2BTRA13%2BTRA21%2BTRA22%2BTRA23%2BTRA24%2BTRB11%2BTRB12%2BTRB13%2BTRB14%2BTRB21%2BTRB22%2BTRB23%2BTRB24%2BTRC12%2BTRC13%2BTRC11%2BTRC21%2BTRC22%2BTRC31%2BTRC32%2BTRC33%2BTRC34..GDP..Q.USD_PPP_PS&pd=2022%2C&to[TIME_PERIOD]=false&vw=ov&ly[rw]=COMBINED_REF_AREA)
Is there any correlation? What’s r2?