anchor.diff:  concept,name,concept_type,domain,indicator_url,color,scales,drill_up,unit,interpolation,description,tags
  -tags,Tags,string,,,,,,,,,
  -tag,Tag,entity_domain,,,,,,,,,
  -parent,Tag parent,string,,,,,,,,,
  +tags,Tags,string,,,,,,,,,_none
  +tag,Tag,entity_domain,,,,,,,,,_none
  +parent,Tag parent,string,,,,,,,,,_none
   geo,Geographic location,entity_domain,,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""ordinal""]",,,,,categorizations
  -geographic_regions,Geographic regions,entity_set,geo,http://spreadsheets.google.com/pub?key=phT4mwjvEuGBtdf1ZeO7_PQ,"{""palette"": {""america"": ""#ebcc21"", ""middle_east_north_africa"": ""#5be56b"", ""south_asia"": ""#35d1d1"", ""europe_central_asia"": ""#f49d37"", ""sub_saharan_africa"": ""#4e7af0"", ""east_asia_pacific"": ""#f03838""}, ""selectable"": false}","[""ordinal""]",,,,,categorizations
  +world_6region,Geographic regions,entity_set,geo,http://spreadsheets.google.com/pub?key=phT4mwjvEuGBtdf1ZeO7_PQ,"{""palette"": {""america"": ""#ebcc21"", ""middle_east_north_africa"": ""#5be56b"", ""south_asia"": ""#35d1d1"", ""europe_central_asia"": ""#f49d37"", ""sub_saharan_africa"": ""#4e7af0"", ""east_asia_pacific"": ""#f03838""}, ""selectable"": false}","[""ordinal""]",,,,,categorizations
   income_groups,Income groups,entity_set,geo,http://spreadsheets.google.com/pub?key=phT4mwjvEuGCSmAe5aq7HKw,"{""palette"": {""lower_middle_income"": ""#7ea1d1"", ""upper_middle_income"": ""#a7cb7d"", ""high_income"": ""#7bc135"", ""low_income"": ""#4366f4""}}","[""ordinal""]",,,,,categorizations
   landlocked,Landlocked,entity_set,geo,http://spreadsheets.google.com/pub?key=rBwKBodk7Y08pGiA4OAfzUA,"{""palette"": {""coastline"": ""#7487ef"", ""landlocked"": ""#f05656""}}","[""ordinal""]",,,,,categorizations
   g77_and_oecd_countries,G77 and OECD countries,entity_set,geo,http://spreadsheets.google.com/pub?key=tVI_UCwI1enCk4p61fWxUig,"{""palette"": {""g77"": ""#7487ef"", ""others"": ""#f05656"", ""oecd"": ""#71c44c""}}","[""ordinal""]",,,,,categorizations
  -geographic_regions_in_4_colors,Geographic regions in 4 colors,entity_set,geo,http://spreadsheets.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdHlocWJBM1Uyd1ZPeHduU3c4WGplMEE,"{""palette"": {""america"": [""#7feb00"", ""#5de200"", ""#81f201"", ""#00b900"", ""#b5ea32"", ""#008d36""], ""asia"": [""#ff5872"", ""#ff5178"", ""#ff658a"", ""#da0025"", ""#fa4e73"", ""#b2043a""], ""_default"": [""#ffb600"", ""#ffaa14"", ""#ffc500"", ""#fb6d19"", ""#ffb600"", ""#9b4838""], ""europe"": [""#ffe700"", ""#fbdd00"", ""#fff400"", ""#fbaf09"", ""#ffe700"", ""#b17f4a""], ""africa"": [""#00d5e9"", ""#00c8ec"", ""#00e1ec"", ""#0098df"", ""#77dff7"", ""#0586c6""]}, ""selectable"": false}","[""ordinal""]",,,,,categorizations
  +geographic_regions_in_4_colors,Geographic regions in 4 colors,entity_set,geo,http://spreadsheets.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdHlocWJBM1Uyd1ZPeHduU3c4WGplMEE,"{""palette"": {""america"": [""#7feb00"", ""#5de200"", ""#81f201"", ""#00b900"", ""#b5ea32"", ""#008d36""], ""asia"": [""#ff5872"", ""#ff5178"", ""#ff658a"", ""#da0025"", ""#fa4e73"", ""#b2043a""], ""_default"": [""#ffb600"", ""#ffaa14"", ""#ffc500"", ""#fb6d19"", ""#ffb600"", ""#9b4838""], ""europe"": [""#ffe700"", ""#fbdd00"", ""#fff400"", ""#fbaf09"", ""#ffe700"", ""#b17f4a""], ""africa"": [""#00d5e9"", ""#00c8ec"", ""#00e1ec"", ""#0098df"", ""#77dff7"", ""#0586c6""]}, ""selectable"": false}","[""ordinal""]",,,,,_none
   main_religion_2008,Main religion 2008,entity_set,geo,http://spreadsheets.google.com/spreadsheet/pub?key=0ArtujvvFrPjVdHUzTGVicFJZQ1NjaFhqelV5SDNxMVE,"{""palette"": {""muslim"": ""#71c44c"", ""eastern_religions"": ""#f05656"", ""christian"": ""#7487ef""}, ""selectable"": false}","[""ordinal""]",,,,,categorizations
  -country,Country,entity_set,geo,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""ordinal""]","[""geographic_regions"", ""income_groups"", ""landlocked"", ""g77_and_oecd_countries"", ""geographic_regions_in_4_colors"", ""main_religion_2008""]",,,,categorizations
  +country,Country,entity_set,geo,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""ordinal""]","[""world_6region"", ""income_groups"", ""landlocked"", ""g77_and_oecd_countries"", ""main_religion_2008""]",,,,categorizations
   world_4region,World Regions,entity_set,geo,http://spreadsheets.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdHlocWJBM1Uyd1ZPeHduU3c4WGplMEE,"{""palette"": {""asia"": [""#ff5872"", ""#ff5178"", ""#ff658a"", ""#da0025"", ""#fa4e73"", ""#b2043a""], ""africa"": [""#00d5e9"", ""#00c8ec"", ""#00e1ec"", ""#0098df"", ""#77dff7"", ""#0586c6""], ""_default"": [""#ffb600"", ""#ffaa14"", ""#ffc500"", ""#fb6d19"", ""#ffb600"", ""#9b4838""], ""europe"": [""#ffe700"", ""#fbdd00"", ""#fff400"", ""#fbaf09"", ""#ffe700"", ""#b17f4a""], ""americas"": [""#7feb00"", ""#5de200"", ""#81f201"", ""#00b900"", ""#b5ea32"", ""#008d36""]}, ""shades"": {""fill3"": 2, ""fill2"": 1, ""print_fill"": 4, ""print_stroke"": 5, ""fill1"": 0, ""shade"": 3}, ""selectable"": false}","[""ordinal""]",,,,,categorizations
  -global,World,entity_set,geo,,,"[""ordinal""]",,,,,
  -age,Age,measure,,,,"[""linear"", ""log""]",,years,,,
  -latitude,Latitude,measure,,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""linear""]",,degrees,,,
  -longitude,Longitude,measure,,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""linear""]",,degrees,,,
  +global,World,entity_set,geo,,,"[""ordinal""]",,,,,_none
  +age,Age,measure,,,,"[""linear"", ""log""]",,years,,,_none
  +latitude,Latitude,measure,,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""linear""]",,degrees,,,_none
  +longitude,Longitude,measure,,https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv,,"[""linear""]",,degrees,,,_none
   children_per_woman_total_fertility,Babies per woman,measure,,http://spreadsheets.google.com/pub?key=phAwcNAVuyj0TAlJeCEzcGQ,,"[""linear"", ""log""]",,,,Total fertility rate. The number of children that would be born to each woman with prevailing age-specific fertility rates. ,"_root, newborn_infants"
   co2_emissions_tonnes_per_person,CO2 emissions,measure,,http://spreadsheets.google.com/pub?key=phAwcNAVuyj1gkNuUEXOGag,,"[""linear"", ""log""]",,tons per person,,Carbon dioxide emissions from the burning of fossil fuels (metric tonnes of CO2 per person). ,"_root, emissions"
   income_per_person_gdppercapita_ppp_inflation_adjusted,Income per person,measure,,http://spreadsheets.google.com/pub?key=phAwcNAVuyj1jiMAkmq1iMg,,"[""log"", ""linear""]",,$/year (GDP/capita),,"Gross domestic product per person adjusted for differences in purchasing power (in international dollars, fixed 2005 prices, PPP based on 2005 ICP). ","_root, incomes_growth"
  
positive.code: female_population_with_projections,Female population,measure,,http://spreadsheets.google.com/pub?key=t6nZVbvqsF-BbyheqUxerZQ,,"[""linear"", ""log""]",,with projections,,"Total number of female population, data after 2010 is based on the medium estimates from UN population division.",projections
  male_population_with_projections,Male population,measure,,http://spreadsheets.google.com/pub?key=tZMsbTkrY0k4OkkkXEfp6pA,,"[""linear"", ""log""]",,with projections,,"Total number of male population, data after 2010 is based on the medium estimates from UN population division.",projections
  population_growth_annual_percent_with_projections,Population growth,measure,,http://spreadsheets.google.com/pub?key=rZrHzR__kZfmw6L_xUx7cwg,,"[""linear"", ""log""]",,"annual %, with projections",,"Annual change of population in percentage, data after 2010 is based on the medium estimates from UN population division.",projections
  year_categorization_1820_2010,Year categorization 1820-2010,measure,,http://spreadsheets.google.com/pub?key=phAwcNAVuyj2t4ep52YXjSg,,"[""linear"", ""log""]",,,,"This ""indicator"" simply duplicates the years between 1820 and 2010. Use it to color the bubbles (by selecting this indicator under ""color"" in the top right-hand corner of the graph). This is useful when enabling ""trails"" for several countries. Use this one for long time series. ",
  year_categorization_1950,Year categorization 1950-,measure,,http://spreadsheets.google.com/pub?key=phAwcNAVuyj02SA7cGjnRbA,,"[""linear"", ""log""]",,,,"This ""indicator"" simply duplicates the years between 1950 and 2008. Use it to color the bubbles (by selecting this indicator under ""color"" in the top right-hand corner of the graph). This is useful when enabling ""trails"" for several countries. ",
  traffic_deaths_per_100000_people,Traffic deaths,measure,,http://spreadsheets.google.com/pub?key=tK87SOy-oZlfW99UDD7L3hw,,"[""linear"", ""log""]",,per 100 000 people,,"Traffic mortality per 100 000 standard population, age adjusted. This rate is calculated as if all countries had the same age composition of the population.",traffic
  burns_deaths_per_100000_people,Burns deaths,measure,,http://spreadsheets.google.com/pub?key=0AgogXXPMARyldGloTm9wekpDcUdMUjhlYWFKaHdnVWc,,"[""linear"", ""log""]",,per 100 000 people,,"Burns, age-adjusted mortality per 100 000 standard population. This rate is calculated as if all countries had the same age composition of the population.",injuries_and_accidents
  drownings_per_100000_people,Drownings,measure,,http://spreadsheets.google.com/pub?key=0AgogXXPMARyldF9ZRnhuWWljUXJHRDRpb0cyaHNLSUE,,"[""linear"", ""log""]",,per 100 000 people,,"Drownings, age-adjusted mortality per 100 000 standard population. This rate is calculated as if all countries had the same age composition of the population.",injuries_and_accidents
  
negative.code: number_of_child_deaths,Number of child deaths,measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhSY2trbEVpYnNsMENqendaVm5ucnc,,"[""linear"", ""log""]",,,,The number of children dying before age 5,health
  energy_supply_per_person_toe,Energy supply per person,measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFFjMFlMeS02N1NGNjJabl8wamVtdHc,,"[""linear"", ""log""]",,tons in oil eqv.,,"Total energy supply per person, tonnes of oil equivalent",alternative_energy
  energy_from_solid_biofuels_percent,Energy from solid biofuels,measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFdaNHA3R1BzcG9GSlkwMXdnMHpScVE,,"[""linear"", ""log""]",,%,,"Percent of total energy supply that comes from ""solid biofuels"". Solid biofuels includes ""traditional energy sources"" e.g. firewood. ",alternative_energy
  residential_energy_use_percent,Residential energy use,measure,,"https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdEV1RkJqTEItQnJYVXJlZzVuc3Y3Mmc",,"[""linear"", ""log""]",,%,,"Percent of total emergy consumption that is used as ""residential consumption""",alternative_energy
  life_expectancy_at_birth_data_from_ihme,Life expectancy at birth (IHME),measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdG9jSHA0WklHU0dqUnBCVUpVOXFzQUE,,"[""linear"", ""log""]",,,,"Life expectancy at birth, the data is taken from Institute for health metrics and evaluation",alternative_demography_indicators
  children_per_woman_temporary_update,Children per woman temporary update,measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdFJCTm43NGc0SzdYeHBpZWZGb1V0ckE,,"[""linear"", ""log""]",,,,"Children per woman (TFR), temporary update",alternative_demography_indicators
  alternative_gdp_per_capita_ppp_pwt_8_0,Alternative GDP/capita PPP PWT 8.0,measure,,https://docs.google.com/spreadsheet/pub?key=0ArfEDsV3bBwCdGhmWXFMY0hNcDFiTEt3ZVE4b21wRlE,,"[""linear"", ""log""]",,,,"GDP per capita PPP, in 2005 i$ from PWT 8.0 (based on rgdpe)",alternative_gdp_data
  