From 492ed47605babf62e4c30875cd29d142548b29b8 Mon Sep 17 00:00:00 2001 From: semio Date: Thu, 22 Dec 2016 11:48:38 +0800 Subject: [PATCH] update recipes and scripts to include gini dataset --- etl/recipes/recipe_gw_gini.yaml | 48 ++ etl/recipes/recipe_main.yaml | 3 + etl/scripts/patch.py | 18 +- etl/scripts/patches/ddf--concepts.1.csv | 3 - etl/scripts/patches/ddf--concepts.5.csv | 6 + etl/scripts/patches/ddf--inedx.0.csv | 612 ++++++++++++++++++++++++ 6 files changed, 683 insertions(+), 7 deletions(-) create mode 100644 etl/recipes/recipe_gw_gini.yaml create mode 100644 etl/scripts/patches/ddf--concepts.5.csv create mode 100644 etl/scripts/patches/ddf--inedx.0.csv diff --git a/etl/recipes/recipe_gw_gini.yaml b/etl/recipes/recipe_gw_gini.yaml new file mode 100644 index 000000000..849093af0 --- /dev/null +++ b/etl/recipes/recipe_gw_gini.yaml @@ -0,0 +1,48 @@ +# recipe for dataset +info: + id: gw-gini + base: # the datasets for ingredients + - &d1 ddf--gapminder--gini + +config: + # the path to search recipe files to include + recipes_dir: ./ + # the path to search dictionary files + dictionary_dir: ./translation_dictionaries + # the path to search ddf datasets + ddf_dir: /Users/semio/src/work/Gapminder + + +# define your ingredients and procedures below +ingredients: + # Ingredients have 5 parameters: id, dataset, key, value, filter + # in wich: + # id: the name of ingredient, will be used in cooking procedures + # dataset: which dataset is this ingredient from + # key: the key to filter in ddf--index + # value: the value to filter in ddf--index + # filter: (optional) more keyword filters + # + # below some example of ingredients: + # + - id: gini-datapoints + dataset: *d1 + key: "geo,time" + value: + - gapminder_gini + - id: gini-concepts + dataset: *d1 + key: concept + value: "*" + filter: + concept: + - gapminder_gini + # + # - id: gw-concepts-aqua + # dataset: *d2 + # key: concept + # value: "*" + # filter: + # concept: &CONC_FILTER + # - agricultural_water_withdrawal_percent_of_total + # - desalinated_water_produced_billion_cu_meters diff --git a/etl/recipes/recipe_main.yaml b/etl/recipes/recipe_main.yaml index 169e4cf5c..eb43cf03a 100644 --- a/etl/recipes/recipe_main.yaml +++ b/etl/recipes/recipe_main.yaml @@ -17,6 +17,7 @@ include: - recipe_gw_co2.yaml - recipe_gw_pop.yaml - recipe_wdi.yaml + - recipe_gw_gini.yaml # - recipe_bp.yaml # - recipe_cdiac.yaml # - recipe_cme.yaml @@ -57,6 +58,7 @@ cooking: - pop-datapoints-final - co2-datapoints-final - wdi-datapoints-final + - gini-datapoints # - bp-datapoints-final # - cdiac-datapoints-final # - cme-datapoints-final @@ -94,5 +96,6 @@ cooking: - gdp-concepts-final - pop-concepts-final - co2-concepts-final + - gini-concepts options: deep: true diff --git a/etl/scripts/patch.py b/etl/scripts/patch.py index ef78ddd18..5e5401b33 100644 --- a/etl/scripts/patch.py +++ b/etl/scripts/patch.py @@ -51,13 +51,19 @@ def concepts_tag_column(): concs['tags'] = concs['tags'].fillna('_none') + # remove concepts from dont panic poverty + concs = concs.drop(['sg_population', 'sg_gini', 'sg_gdp_p_cap_const_ppp2011_dollar']) + concs.to_csv(os.path.join(out_dir, 'ddf--concepts.csv'), encoding='utf8') -def remove_yearly_co2_emissions_tonnes(): - """remove datapoints for yearly_co2_emissions_tonnes""" +def remove_unneeded_dps(): + """remove some datapoints""" # FIXME: remove this function when chef is ready for this kind of tasks. os.remove(os.path.join(out_dir, 'ddf--datapoints--yearly_co2_emissions_tonnes--by--geo--time.csv')) + os.remove(os.path.join(out_dir, 'ddf--datapoints--sg_gdp_p_cap_const_ppp2011_dollar--by--geo--time.csv')) + os.remove(os.path.join(out_dir, 'ddf--datapoints--sg_population--by--geo--time.csv')) + os.remove(os.path.join(out_dir, 'ddf--datapoints--sg_gini--by--geo--time.csv')) def apply_patches(): @@ -69,11 +75,15 @@ def apply_patches(): 'ddf--concepts.1.csv', 'ddf--concepts.2.csv', 'ddf--concepts.3.csv', - 'ddf--concepts.4.csv' + 'ddf--concepts.4.csv', + 'ddf--concepts.5.csv' ], 'ddf--entities--tag.csv': [ 'ddf--entities--tag.0.csv' ], + 'ddf--index.csv' : [ + 'ddf--inedx.0.csv' + ] } # apply the patches for f, ps in patches.items(): @@ -92,7 +102,7 @@ def apply_patches(): def do_all_changes(): print("applying patches to DDF...") concepts_tag_column() - remove_yearly_co2_emissions_tonnes() + remove_unneeded_dps() apply_patches() diff --git a/etl/scripts/patches/ddf--concepts.1.csv b/etl/scripts/patches/ddf--concepts.1.csv index 787a6e9ea..4d7ca93ef 100644 --- a/etl/scripts/patches/ddf--concepts.1.csv +++ b/etl/scripts/patches/ddf--concepts.1.csv @@ -36,9 +36,6 @@ "","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" "...","...","...","...","...","...","...","...","...","...","...","...","..." "","newborn_deaths","Newborn deaths","measure","","https://docs.google.com/spreadsheet/pub?key=1iTvolhgIMta3MmsoPkGnewJiaybev3MvR9e_7mxZ48o","","[""linear"", ""log""]","","","","Neonatal deaths Children dying within the first 28 days.","newborn_infants" -":","sg_population","sg_population","measure","","http://www.gapminder.org/news/data-sources-dont-panic-end-poverty","","[""linear"", ""log""]","","","","","_none" -"","sg_gini","sg_gini","measure","","http://www.gapminder.org/news/data-sources-dont-panic-end-poverty","","[""linear""]","","","","","_none" -"->","sg_gdp_p_cap_const_ppp2011_dollar","sg_gdp_p_cap_const_ppp2011_dollar","measure","","http://www.gapminder.org/news/data-sources-dont-panic-end-poverty","{""palette"": {""3"": ""#F77481"", ""2"": ""#E1CE00"", ""1"": ""#B4DE79"", ""0"": ""#62CCE3""}}->{""palette"": {""2"": ""#E1CE00"", ""1"": ""#B4DE79"", ""3"": ""#F77481"", ""0"": ""#62CCE3""}}","[""log"", ""linear""]","","","exp","","_none" ":","description","Description","string","","","","","","","","","_none" ":","indicator_url","Indicator url","string","","","","","","","","","_none" ":","name","Name","string","","https://github.com/open-numbers/ddf--gapminder--dim_geo_countries_and_groups/blob/master/ddf--list--geo--country.csv","","[""ordinal""]","","","","","_none" diff --git a/etl/scripts/patches/ddf--concepts.5.csv b/etl/scripts/patches/ddf--concepts.5.csv new file mode 100644 index 000000000..be942b732 --- /dev/null +++ b/etl/scripts/patches/ddf--concepts.5.csv @@ -0,0 +1,6 @@ +@@,concept,name,...,color,scales,drill_up,... +...,...,...,...,...,...,...,... +,child_mortality_0_5_year_olds_dying_per_1000_born,"Child mortality rate",...,,"[""log"", ""linear""]",,... +->,gapminder_gini,"Gapminder gini",...,,"NULL->[""linear""]",,... +,life_expectancy_years,"Life expectancy",...,,"[""linear"", ""log""]",,... +...,...,...,...,...,...,...,... diff --git a/etl/scripts/patches/ddf--inedx.0.csv b/etl/scripts/patches/ddf--inedx.0.csv new file mode 100644 index 000000000..e7fe217c3 --- /dev/null +++ b/etl/scripts/patches/ddf--inedx.0.csv @@ -0,0 +1,612 @@ +key,value,file +concept,name,ddf--concepts.csv +concept,concept_type,ddf--concepts.csv +concept,domain,ddf--concepts.csv +concept,indicator_url,ddf--concepts.csv +concept,color,ddf--concepts.csv +concept,scales,ddf--concepts.csv +concept,drill_up,ddf--concepts.csv +concept,unit,ddf--concepts.csv +concept,interpolation,ddf--concepts.csv +concept,description,ddf--concepts.csv +concept,tags,ddf--concepts.csv +"geo,time",20120905_extreme_poverty_percent_people_below_125_a_day,ddf--datapoints--20120905_extreme_poverty_percent_people_below_125_a_day--by--geo--time.csv +"geo,time",adults_with_hiv_percent_age_15_49,ddf--datapoints--adults_with_hiv_percent_age_15_49--by--geo--time.csv +"geo,time",age_at_1st_marriage_women,ddf--datapoints--age_at_1st_marriage_women--by--geo--time.csv +"geo,time",aged_15_24_employment_rate_percent,ddf--datapoints--aged_15_24_employment_rate_percent--by--geo--time.csv +"geo,time",aged_15_24_unemployment_rate_percent,ddf--datapoints--aged_15_24_unemployment_rate_percent--by--geo--time.csv +"geo,time",aged_15_64_labour_force_participation_rate_percent,ddf--datapoints--aged_15_64_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",aged_15plus_employment_rate_percent,ddf--datapoints--aged_15plus_employment_rate_percent--by--geo--time.csv +"geo,time",aged_15plus_labour_force_participation_rate_percent,ddf--datapoints--aged_15plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",aged_15plus_unemployment_rate_percent,ddf--datapoints--aged_15plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",aged_25_54_labour_force_participation_rate_percent,ddf--datapoints--aged_25_54_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",aged_25_54_unemployment_rate_percent,ddf--datapoints--aged_25_54_unemployment_rate_percent--by--geo--time.csv +"geo,time",aged_55plus_unemployment_rate_percent,ddf--datapoints--aged_55plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",aged_65plus_labour_force_participation_rate_percent,ddf--datapoints--aged_65plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",agricultural_land_percent_of_land_area,ddf--datapoints--agricultural_land_percent_of_land_area--by--geo--time.csv +"geo,time",agricultural_water_withdrawal_percent_of_total,ddf--datapoints--agricultural_water_withdrawal_percent_of_total--by--geo--time.csv +"geo,time",agriculture_percent_of_gdp,ddf--datapoints--agriculture_percent_of_gdp--by--geo--time.csv +"geo,time",agriculture_workers_percent_of_labour_force,ddf--datapoints--agriculture_workers_percent_of_labour_force--by--geo--time.csv +"geo,time",aid_given_2007_us,ddf--datapoints--aid_given_2007_us--by--geo--time.csv +"geo,time",aid_given_per_person_2007_us,ddf--datapoints--aid_given_per_person_2007_us--by--geo--time.csv +"geo,time",aid_given_percent_of_gni,ddf--datapoints--aid_given_percent_of_gni--by--geo--time.csv +"geo,time",aid_received_per_person_current_us,ddf--datapoints--aid_received_per_person_current_us--by--geo--time.csv +"geo,time",aid_received_percent_of_gni,ddf--datapoints--aid_received_percent_of_gni--by--geo--time.csv +"geo,time",aid_received_total_us_inflation_adjusted,ddf--datapoints--aid_received_total_us_inflation_adjusted--by--geo--time.csv +"geo,time",alcohol_consumption_per_adult_15plus_litres,ddf--datapoints--alcohol_consumption_per_adult_15plus_litres--by--geo--time.csv +"geo,time",all_causes_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--all_causes_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",all_causes_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--all_causes_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",all_causes_deaths_in_newborn_per_1000_births,ddf--datapoints--all_causes_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",all_causes_deaths_in_newborn_total_deaths,ddf--datapoints--all_causes_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",all_forms_of_tb_deaths_per_100000_estimated,ddf--datapoints--all_forms_of_tb_deaths_per_100000_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_detection_rate_percent,ddf--datapoints--all_forms_of_tb_detection_rate_percent--by--geo--time.csv +"geo,time",all_forms_of_tb_detection_rate_percent_dots_only,ddf--datapoints--all_forms_of_tb_detection_rate_percent_dots_only--by--geo--time.csv +"geo,time",all_forms_of_tb_existing_cases_per_100000_estimated,ddf--datapoints--all_forms_of_tb_existing_cases_per_100000_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_new_cases_per_100000_estimated,ddf--datapoints--all_forms_of_tb_new_cases_per_100000_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_new_cases_per_100000_reported,ddf--datapoints--all_forms_of_tb_new_cases_per_100000_reported--by--geo--time.csv +"geo,time",all_forms_of_tb_number_of_deaths_estimated,ddf--datapoints--all_forms_of_tb_number_of_deaths_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_number_of_existing_cases_estimated,ddf--datapoints--all_forms_of_tb_number_of_existing_cases_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_number_of_new_cases_estimated,ddf--datapoints--all_forms_of_tb_number_of_new_cases_estimated--by--geo--time.csv +"geo,time",all_forms_of_tb_number_of_new_cases_reported,ddf--datapoints--all_forms_of_tb_number_of_new_cases_reported--by--geo--time.csv +"geo,time",alternative_gdp_per_capita_ppp_pwt_7_1,ddf--datapoints--alternative_gdp_per_capita_ppp_pwt_7_1--by--geo--time.csv +"geo,time",alternative_gdp_per_capita_ppp_pwt_8_0,ddf--datapoints--alternative_gdp_per_capita_ppp_pwt_8_0--by--geo--time.csv +"geo,time",alternative_gdp_per_capita_ppp_wb,ddf--datapoints--alternative_gdp_per_capita_ppp_wb--by--geo--time.csv +"geo,time",alternative_gdppercapita_ppp_inflation_adjusted_from_pwt,ddf--datapoints--alternative_gdppercapita_ppp_inflation_adjusted_from_pwt--by--geo--time.csv +"geo,time",alternative_poverty_percent_below_nationally_defined_poverty,ddf--datapoints--alternative_poverty_percent_below_nationally_defined_poverty--by--geo--time.csv +"geo,time",annual_hiv_deaths_number_all_ages,ddf--datapoints--annual_hiv_deaths_number_all_ages--by--geo--time.csv +"geo,time",armed_forces_personnel_percent_of_labor_force,ddf--datapoints--armed_forces_personnel_percent_of_labor_force--by--geo--time.csv +"geo,time",armed_forces_personnel_total,ddf--datapoints--armed_forces_personnel_total--by--geo--time.csv +"geo,time",arms_exports_us_inflation_adjusted,ddf--datapoints--arms_exports_us_inflation_adjusted--by--geo--time.csv +"geo,time",arms_imports_us_inflation_adjusted,ddf--datapoints--arms_imports_us_inflation_adjusted--by--geo--time.csv +"geo,time",art_coverage_percent_cd4_l_350,ddf--datapoints--art_coverage_percent_cd4_l_350--by--geo--time.csv +"geo,time",average_age_of_dollar_billionaires_years,ddf--datapoints--average_age_of_dollar_billionaires_years--by--geo--time.csv +"geo,time",bad_teeth_per_child_12_yr,ddf--datapoints--bad_teeth_per_child_12_yr--by--geo--time.csv +"geo,time",battle_deaths_per_100_000,ddf--datapoints--battle_deaths_per_100_000--by--geo--time.csv +"geo,time",biomass_stock_in_forest_tons,ddf--datapoints--biomass_stock_in_forest_tons--by--geo--time.csv +"geo,time",birth_asphyxia_deaths_in_newborn_per_1000_births,ddf--datapoints--birth_asphyxia_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",birth_asphyxia_deaths_in_newborn_total_deaths,ddf--datapoints--birth_asphyxia_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",births_attended_by_skilled_health_staff_percent_of_total,ddf--datapoints--births_attended_by_skilled_health_staff_percent_of_total--by--geo--time.csv +"geo,time",blood_pressure_sbp_men_mmhg,ddf--datapoints--blood_pressure_sbp_men_mmhg--by--geo--time.csv +"geo,time",blood_pressure_sbp_women_mmhg,ddf--datapoints--blood_pressure_sbp_women_mmhg--by--geo--time.csv +"geo,time",body_mass_index_bmi_men_kgperm2,ddf--datapoints--body_mass_index_bmi_men_kgperm2--by--geo--time.csv +"geo,time",body_mass_index_bmi_women_kgperm2,ddf--datapoints--body_mass_index_bmi_women_kgperm2--by--geo--time.csv +"geo,time",breast_cancer_deaths_per_100000_women,ddf--datapoints--breast_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",breast_cancer_new_cases_per_100000_women,ddf--datapoints--breast_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",breast_cancer_number_of_female_deaths,ddf--datapoints--breast_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",breast_cancer_number_of_new_female_cases,ddf--datapoints--breast_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",broadband_subscribers,ddf--datapoints--broadband_subscribers--by--geo--time.csv +"geo,time",broadband_subscribers_per_100_people,ddf--datapoints--broadband_subscribers_per_100_people--by--geo--time.csv +"geo,time",burns_deaths_per_100000_people,ddf--datapoints--burns_deaths_per_100000_people--by--geo--time.csv +"geo,time",car_deaths_per_100000_people,ddf--datapoints--car_deaths_per_100000_people--by--geo--time.csv +"geo,time",cars_trucks_and_buses_per_1000_persons,ddf--datapoints--cars_trucks_and_buses_per_1000_persons--by--geo--time.csv +"geo,time",cell_phones_per_100_people,ddf--datapoints--cell_phones_per_100_people--by--geo--time.csv +"geo,time",cell_phones_total,ddf--datapoints--cell_phones_total--by--geo--time.csv +"geo,time",central_bank_discount_rate_annual_percent,ddf--datapoints--central_bank_discount_rate_annual_percent--by--geo--time.csv +"geo,time",cervical_cancer_deaths_per_100000_women,ddf--datapoints--cervical_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",cervical_cancer_new_cases_per_100000_women,ddf--datapoints--cervical_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",cervical_cancer_number_of_female_deaths,ddf--datapoints--cervical_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",cervical_cancer_number_of_new_female_cases,ddf--datapoints--cervical_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",child_mortality_0_5_year_olds_dying_per_1000_born,ddf--datapoints--child_mortality_0_5_year_olds_dying_per_1000_born--by--geo--time.csv +"geo,time",child_mortality_0_5_year_olds_more_years_version_7,ddf--datapoints--child_mortality_0_5_year_olds_more_years_version_7--by--geo--time.csv +"geo,time",children_and_elderly_per_100_adults,ddf--datapoints--children_and_elderly_per_100_adults--by--geo--time.csv +"geo,time",children_out_of_school_primary,ddf--datapoints--children_out_of_school_primary--by--geo--time.csv +"geo,time",children_out_of_school_primary_female,ddf--datapoints--children_out_of_school_primary_female--by--geo--time.csv +"geo,time",children_out_of_school_primary_male,ddf--datapoints--children_out_of_school_primary_male--by--geo--time.csv +"geo,time",children_per_woman_temporary_update,ddf--datapoints--children_per_woman_temporary_update--by--geo--time.csv +"geo,time",children_per_woman_total_fertility,ddf--datapoints--children_per_woman_total_fertility--by--geo--time.csv +"geo,time",children_per_woman_total_fertility_with_projections,ddf--datapoints--children_per_woman_total_fertility_with_projections--by--geo--time.csv +"geo,time",cholesterol_fat_in_blood_men_mmolperl,ddf--datapoints--cholesterol_fat_in_blood_men_mmolperl--by--geo--time.csv +"geo,time",cholesterol_fat_in_blood_women_mmolperl,ddf--datapoints--cholesterol_fat_in_blood_women_mmolperl--by--geo--time.csv +"geo,time",co2_emissions_tonnes_per_person,ddf--datapoints--co2_emissions_tonnes_per_person--by--geo--time.csv +"geo,time",co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp,ddf--datapoints--co2_intensity_of_economic_output_kg_co2_per_2005_ppp_of_gdp--by--geo--time.csv +"geo,time",coal_consumption_per_cap,ddf--datapoints--coal_consumption_per_cap--by--geo--time.csv +"geo,time",coal_consumption_total,ddf--datapoints--coal_consumption_total--by--geo--time.csv +"geo,time",colonandrectum_cancer_deaths_per_100000_men,ddf--datapoints--colonandrectum_cancer_deaths_per_100000_men--by--geo--time.csv +"geo,time",colonandrectum_cancer_deaths_per_100000_women,ddf--datapoints--colonandrectum_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",colonandrectum_cancer_new_cases_per_100000_men,ddf--datapoints--colonandrectum_cancer_new_cases_per_100000_men--by--geo--time.csv +"geo,time",colonandrectum_cancer_new_cases_per_100000_women,ddf--datapoints--colonandrectum_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",colonandrectum_cancer_number_of_female_deaths,ddf--datapoints--colonandrectum_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",colonandrectum_cancer_number_of_male_deaths,ddf--datapoints--colonandrectum_cancer_number_of_male_deaths--by--geo--time.csv +"geo,time",colonandrectum_cancer_number_of_new_female_cases,ddf--datapoints--colonandrectum_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",colonandrectum_cancer_number_of_new_male_cases,ddf--datapoints--colonandrectum_cancer_number_of_new_male_cases--by--geo--time.csv +"geo,time",congenital_deaths_in_newborn_per_1000_births,ddf--datapoints--congenital_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",congenital_deaths_in_newborn_total_deaths,ddf--datapoints--congenital_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",contraceptive_use_percent_of_women_ages_15_49,ddf--datapoints--contraceptive_use_percent_of_women_ages_15_49--by--geo--time.csv +"geo,time",corruption_perception_index_cpi,ddf--datapoints--corruption_perception_index_cpi--by--geo--time.csv +"geo,time",crude_birth_rate_births_per_1000_population,ddf--datapoints--crude_birth_rate_births_per_1000_population--by--geo--time.csv +"geo,time",crude_death_rate_deaths_per_1000_population,ddf--datapoints--crude_death_rate_deaths_per_1000_population--by--geo--time.csv +"geo,time",cumulative_co2_emissions_tonnes,ddf--datapoints--cumulative_co2_emissions_tonnes--by--geo--time.csv +"geo,time",data_method_maternal_mortality,ddf--datapoints--data_method_maternal_mortality--by--geo--time.csv +"geo,time",data_quality_children_per_woman,ddf--datapoints--data_quality_children_per_woman--by--geo--time.csv +"geo,time",data_quality_income_per_person,ddf--datapoints--data_quality_income_per_person--by--geo--time.csv +"geo,time",data_quality_life_expectancy,ddf--datapoints--data_quality_life_expectancy--by--geo--time.csv +"geo,time",data_quality_population,ddf--datapoints--data_quality_population--by--geo--time.csv +"geo,time",dead_kids_per_woman,ddf--datapoints--dead_kids_per_woman--by--geo--time.csv +"geo,time",debt_servicing_costs_percent_of_exports_and_net_income_from_abroad,ddf--datapoints--debt_servicing_costs_percent_of_exports_and_net_income_from_abroad--by--geo--time.csv +"geo,time",debt_to_foreigners_by_public_and_private_percent_of_gni,ddf--datapoints--debt_to_foreigners_by_public_and_private_percent_of_gni--by--geo--time.csv +"geo,time",democracy_score_use_as_color,ddf--datapoints--democracy_score_use_as_color--by--geo--time.csv +"geo,time",desalinated_water_produced_billion_cu_meters,ddf--datapoints--desalinated_water_produced_billion_cu_meters--by--geo--time.csv +"geo,time",diarrhoeal_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--diarrhoeal_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",diarrhoeal_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--diarrhoeal_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",diarrhoeal_deaths_in_newborn_per_1000_births,ddf--datapoints--diarrhoeal_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",diarrhoeal_deaths_in_newborn_total_deaths,ddf--datapoints--diarrhoeal_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",dollar_billionaires_per_million_people,ddf--datapoints--dollar_billionaires_per_million_people--by--geo--time.csv +"geo,time",drought_affected_annual_number,ddf--datapoints--drought_affected_annual_number--by--geo--time.csv +"geo,time",drought_deaths_annual_number,ddf--datapoints--drought_deaths_annual_number--by--geo--time.csv +"geo,time",drownings_per_100000_people,ddf--datapoints--drownings_per_100000_people--by--geo--time.csv +"geo,time",dtp3_immunized_percent_of_one_year_olds,ddf--datapoints--dtp3_immunized_percent_of_one_year_olds--by--geo--time.csv +"geo,time",earthquake_affected_annual_number,ddf--datapoints--earthquake_affected_annual_number--by--geo--time.csv +"geo,time",earthquake_deaths_annual_number,ddf--datapoints--earthquake_deaths_annual_number--by--geo--time.csv +"geo,time",economic_growth_over_the_past_10_years,ddf--datapoints--economic_growth_over_the_past_10_years--by--geo--time.csv +"geo,time",economical_infrastructure_aid_given_percent_of_aid,ddf--datapoints--economical_infrastructure_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",education_aid_given_percent_of_aid,ddf--datapoints--education_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",electricity_generation_per_person,ddf--datapoints--electricity_generation_per_person--by--geo--time.csv +"geo,time",electricity_generation_total,ddf--datapoints--electricity_generation_total--by--geo--time.csv +"geo,time",electricity_use_per_person,ddf--datapoints--electricity_use_per_person--by--geo--time.csv +"geo,time",electricity_use_total,ddf--datapoints--electricity_use_total--by--geo--time.csv +"geo,time",energy_from_solid_biofuels_percent,ddf--datapoints--energy_from_solid_biofuels_percent--by--geo--time.csv +"geo,time",energy_production_per_person,ddf--datapoints--energy_production_per_person--by--geo--time.csv +"geo,time",energy_production_total,ddf--datapoints--energy_production_total--by--geo--time.csv +"geo,time",energy_supply_per_person_toe,ddf--datapoints--energy_supply_per_person_toe--by--geo--time.csv +"geo,time",energy_use_per_person,ddf--datapoints--energy_use_per_person--by--geo--time.csv +"geo,time",energy_use_total,ddf--datapoints--energy_use_total--by--geo--time.csv +"geo,time",epidemic_affected_annual_number,ddf--datapoints--epidemic_affected_annual_number--by--geo--time.csv +"geo,time",epidemic_deaths_annual_number,ddf--datapoints--epidemic_deaths_annual_number--by--geo--time.csv +"geo,time",estimate_or_projection_of_under_five_mortality_rate_from_ihme,ddf--datapoints--estimate_or_projection_of_under_five_mortality_rate_from_ihme--by--geo--time.csv +"geo,time",expenditure_per_student_primary_percent_of_gdp_per_person,ddf--datapoints--expenditure_per_student_primary_percent_of_gdp_per_person--by--geo--time.csv +"geo,time",expenditure_per_student_secondary_percent_of_gdp_per_person,ddf--datapoints--expenditure_per_student_secondary_percent_of_gdp_per_person--by--geo--time.csv +"geo,time",expenditure_per_student_tertiary_percent_of_gdp_per_person,ddf--datapoints--expenditure_per_student_tertiary_percent_of_gdp_per_person--by--geo--time.csv +"geo,time",exports_percent_of_gdp,ddf--datapoints--exports_percent_of_gdp--by--geo--time.csv +"geo,time",exports_unit_value_index_2000100,ddf--datapoints--exports_unit_value_index_2000100--by--geo--time.csv +"geo,time",external_debt_total_us_not_inflation_adjusted,ddf--datapoints--external_debt_total_us_not_inflation_adjusted--by--geo--time.csv +"geo,time",extreme_poverty_percent_people_below_125_a_day,ddf--datapoints--extreme_poverty_percent_people_below_125_a_day--by--geo--time.csv +"geo,time",extreme_temperature_affected_annual_number,ddf--datapoints--extreme_temperature_affected_annual_number--by--geo--time.csv +"geo,time",extreme_temperature_deaths_annual_number,ddf--datapoints--extreme_temperature_deaths_annual_number--by--geo--time.csv +"geo,time",falls_deaths_per_100000_people,ddf--datapoints--falls_deaths_per_100000_people--by--geo--time.csv +"geo,time",family_workers_percent_of_labour_force,ddf--datapoints--family_workers_percent_of_labour_force--by--geo--time.csv +"geo,time",female_agriculture_workers_percent_of_female_labour_force,ddf--datapoints--female_agriculture_workers_percent_of_female_labour_force--by--geo--time.csv +"geo,time",female_family_workers_percent_of_female_labour_force,ddf--datapoints--female_family_workers_percent_of_female_labour_force--by--geo--time.csv +"geo,time",female_industry_workers_percent_of_female_labour_force,ddf--datapoints--female_industry_workers_percent_of_female_labour_force--by--geo--time.csv +"geo,time",female_long_term_unemployment_rate_percent,ddf--datapoints--female_long_term_unemployment_rate_percent--by--geo--time.csv +"geo,time",female_population_with_projections,ddf--datapoints--female_population_with_projections--by--geo--time.csv +"geo,time",female_salaried_workers_percent_of_female_labour_force,ddf--datapoints--female_salaried_workers_percent_of_female_labour_force--by--geo--time.csv +"geo,time",female_self_employed_percent_of_female_labour_force,ddf--datapoints--female_self_employed_percent_of_female_labour_force--by--geo--time.csv +"geo,time",female_service_workers_percent_of_female_labour_force,ddf--datapoints--female_service_workers_percent_of_female_labour_force--by--geo--time.csv +"geo,time",females_aged_15_24_employment_rate_percent,ddf--datapoints--females_aged_15_24_employment_rate_percent--by--geo--time.csv +"geo,time",females_aged_15_24_unemployment_rate_percent,ddf--datapoints--females_aged_15_24_unemployment_rate_percent--by--geo--time.csv +"geo,time",females_aged_15_64_labour_force_participation_rate_percent,ddf--datapoints--females_aged_15_64_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",females_aged_15plus_employment_rate_percent,ddf--datapoints--females_aged_15plus_employment_rate_percent--by--geo--time.csv +"geo,time",females_aged_15plus_labour_force_participation_rate_percent,ddf--datapoints--females_aged_15plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",females_aged_15plus_unemployment_rate_percent,ddf--datapoints--females_aged_15plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",females_aged_25_54_labour_force_participation_rate_percent,ddf--datapoints--females_aged_25_54_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",females_aged_25_54_unemployment_rate_percent,ddf--datapoints--females_aged_25_54_unemployment_rate_percent--by--geo--time.csv +"geo,time",females_aged_55plus_unemployment_rate_percent,ddf--datapoints--females_aged_55plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",females_aged_65plus_labour_force_participation_rate_percent,ddf--datapoints--females_aged_65plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",fixed_line_and_mobile_phone_subscribers_per_100_people,ddf--datapoints--fixed_line_and_mobile_phone_subscribers_per_100_people--by--geo--time.csv +"geo,time",flood_affected_annual_number,ddf--datapoints--flood_affected_annual_number--by--geo--time.csv +"geo,time",flood_deaths_annual_number,ddf--datapoints--flood_deaths_annual_number--by--geo--time.csv +"geo,time",food_supply_kilocalories_per_person_and_day,ddf--datapoints--food_supply_kilocalories_per_person_and_day--by--geo--time.csv +"geo,time",foreign_direct_investment_net_inflows_percent_of_gdp,ddf--datapoints--foreign_direct_investment_net_inflows_percent_of_gdp--by--geo--time.csv +"geo,time",foreign_direct_investment_net_outflows_percent_of_gdp,ddf--datapoints--foreign_direct_investment_net_outflows_percent_of_gdp--by--geo--time.csv +"geo,time",forest_area_sq_km,ddf--datapoints--forest_area_sq_km--by--geo--time.csv +"geo,time",forest_coverage_percent,ddf--datapoints--forest_coverage_percent--by--geo--time.csv +"geo,time",forest_land_total_area_ha,ddf--datapoints--forest_land_total_area_ha--by--geo--time.csv +"geo,time",forest_products_removal_per_ha_dollar,ddf--datapoints--forest_products_removal_per_ha_dollar--by--geo--time.csv +"geo,time",forest_products_removal_total_dollar,ddf--datapoints--forest_products_removal_total_dollar--by--geo--time.csv +"geo,time",gdp_per_capita_yearly_growth,ddf--datapoints--gdp_per_capita_yearly_growth--by--geo--time.csv +"geo,time",gdp_total_yearly_growth,ddf--datapoints--gdp_total_yearly_growth--by--geo--time.csv +"geo,time",gdppercapita_growth_over_next_10_years,ddf--datapoints--gdppercapita_growth_over_next_10_years--by--geo--time.csv +"geo,time",gdppercapita_growth_percent_per_year,ddf--datapoints--gdppercapita_growth_percent_per_year--by--geo--time.csv +"geo,time",gdppercapita_us_inflation_adjusted,ddf--datapoints--gdppercapita_us_inflation_adjusted--by--geo--time.csv +"geo,time",gdpperemployee_us_inflation_adjusted,ddf--datapoints--gdpperemployee_us_inflation_adjusted--by--geo--time.csv +"geo,time",gdpperworking_hour_us_inflation_adjusted,ddf--datapoints--gdpperworking_hour_us_inflation_adjusted--by--geo--time.csv +"geo,time",gnipercapita_atlasmethod_current_us,ddf--datapoints--gnipercapita_atlasmethod_current_us--by--geo--time.csv +"geo,time",gnipercapita_constant_2000_us,ddf--datapoints--gnipercapita_constant_2000_us--by--geo--time.csv +"geo,time",gnipercapita_ppp_current_international,ddf--datapoints--gnipercapita_ppp_current_international--by--geo--time.csv +"geo,time",government_and_society_aid_given_percent_of_aid,ddf--datapoints--government_and_society_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",government_health_spending_of_total_gov_spending_percent,ddf--datapoints--government_health_spending_of_total_gov_spending_percent--by--geo--time.csv +"geo,time",government_health_spending_per_person_international_dollar,ddf--datapoints--government_health_spending_per_person_international_dollar--by--geo--time.csv +"geo,time",government_health_spending_per_person_us,ddf--datapoints--government_health_spending_per_person_us--by--geo--time.csv +"geo,time",government_share_of_total_health_spending_percent,ddf--datapoints--government_share_of_total_health_spending_percent--by--geo--time.csv +"geo,time",hdi_human_development_index,ddf--datapoints--hdi_human_development_index--by--geo--time.csv +"geo,time",health_aid_given_percent_of_aid,ddf--datapoints--health_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",hepb3_immunized_percent_of_one_year_olds,ddf--datapoints--hepb3_immunized_percent_of_one_year_olds--by--geo--time.csv +"geo,time",hib3_immunized_percent_of_one_year_olds,ddf--datapoints--hib3_immunized_percent_of_one_year_olds--by--geo--time.csv +"geo,time",high_technology_exports_percent_of_manufactured_exports,ddf--datapoints--high_technology_exports_percent_of_manufactured_exports--by--geo--time.csv +"geo,time",hiv_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--hiv_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",hiv_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--hiv_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",hourly_compensation_us,ddf--datapoints--hourly_compensation_us--by--geo--time.csv +"geo,time",how_far_to_the_north,ddf--datapoints--how_far_to_the_north--by--geo--time.csv +"geo,time",hydro_power_generation_per_person,ddf--datapoints--hydro_power_generation_per_person--by--geo--time.csv +"geo,time",hydro_power_generation_total,ddf--datapoints--hydro_power_generation_total--by--geo--time.csv +"geo,time",ifpri_underweight_children,ddf--datapoints--ifpri_underweight_children--by--geo--time.csv +"geo,time",imports_percent_of_gdp,ddf--datapoints--imports_percent_of_gdp--by--geo--time.csv +"geo,time",imports_unit_value_index_2000100,ddf--datapoints--imports_unit_value_index_2000100--by--geo--time.csv +"geo,time",improved_sanitation_overall_access_percent,ddf--datapoints--improved_sanitation_overall_access_percent--by--geo--time.csv +"geo,time",improved_sanitation_rural_access_percent,ddf--datapoints--improved_sanitation_rural_access_percent--by--geo--time.csv +"geo,time",improved_sanitation_urban_access_percent,ddf--datapoints--improved_sanitation_urban_access_percent--by--geo--time.csv +"geo,time",improved_water_source_overall_access_percent,ddf--datapoints--improved_water_source_overall_access_percent--by--geo--time.csv +"geo,time",improved_water_source_rural_access_percent,ddf--datapoints--improved_water_source_rural_access_percent--by--geo--time.csv +"geo,time",improved_water_source_urban_access_percent,ddf--datapoints--improved_water_source_urban_access_percent--by--geo--time.csv +"geo,time",income_per_person_gdppercapita_ppp_inflation_adjusted,ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv +"geo,time",income_per_person_long_series,ddf--datapoints--income_per_person_long_series--by--geo--time.csv +"geo,time",income_per_person_with_projections,ddf--datapoints--income_per_person_with_projections--by--geo--time.csv +"geo,time",income_share_of_2nd_poorest_20percent,ddf--datapoints--income_share_of_2nd_poorest_20percent--by--geo--time.csv +"geo,time",income_share_of_2nd_richest_20percent,ddf--datapoints--income_share_of_2nd_richest_20percent--by--geo--time.csv +"geo,time",income_share_of_middle_20percent,ddf--datapoints--income_share_of_middle_20percent--by--geo--time.csv +"geo,time",income_share_of_poorest_10percent,ddf--datapoints--income_share_of_poorest_10percent--by--geo--time.csv +"geo,time",income_share_of_poorest_20percent,ddf--datapoints--income_share_of_poorest_20percent--by--geo--time.csv +"geo,time",income_share_of_richest_10percent,ddf--datapoints--income_share_of_richest_10percent--by--geo--time.csv +"geo,time",income_share_of_richest_20percent,ddf--datapoints--income_share_of_richest_20percent--by--geo--time.csv +"geo,time",industrial_water_withdrawal_percent_of_total,ddf--datapoints--industrial_water_withdrawal_percent_of_total--by--geo--time.csv +"geo,time",industry_percent_of_gdp,ddf--datapoints--industry_percent_of_gdp--by--geo--time.csv +"geo,time",industry_workers_percent_of_labour_force,ddf--datapoints--industry_workers_percent_of_labour_force--by--geo--time.csv +"geo,time",inequality_index_gini,ddf--datapoints--inequality_index_gini--by--geo--time.csv +"geo,time",infant_mortality_rate_per_1000_births,ddf--datapoints--infant_mortality_rate_per_1000_births--by--geo--time.csv +"geo,time",infectious_tb_detection_rate_percent,ddf--datapoints--infectious_tb_detection_rate_percent--by--geo--time.csv +"geo,time",infectious_tb_detection_rate_percent_dots_only,ddf--datapoints--infectious_tb_detection_rate_percent_dots_only--by--geo--time.csv +"geo,time",infectious_tb_new_cases_per_100000_estimated,ddf--datapoints--infectious_tb_new_cases_per_100000_estimated--by--geo--time.csv +"geo,time",infectious_tb_new_cases_per_100000_reported,ddf--datapoints--infectious_tb_new_cases_per_100000_reported--by--geo--time.csv +"geo,time",infectious_tb_number_of_new_cases_estimated,ddf--datapoints--infectious_tb_number_of_new_cases_estimated--by--geo--time.csv +"geo,time",infectious_tb_number_of_new_cases_reported,ddf--datapoints--infectious_tb_number_of_new_cases_reported--by--geo--time.csv +"geo,time",infectious_tb_treatment_dots_completed_percent,ddf--datapoints--infectious_tb_treatment_dots_completed_percent--by--geo--time.csv +"geo,time",inflation_annual_percent,ddf--datapoints--inflation_annual_percent--by--geo--time.csv +"geo,time",injury_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--injury_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",injury_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--injury_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",internal_renewable_water_cu_meters_per_person,ddf--datapoints--internal_renewable_water_cu_meters_per_person--by--geo--time.csv +"geo,time",internet_users_per_100_people,ddf--datapoints--internet_users_per_100_people--by--geo--time.csv +"geo,time",internet_users_total_number,ddf--datapoints--internet_users_total_number--by--geo--time.csv +"geo,time",investments_percent_of_gdp,ddf--datapoints--investments_percent_of_gdp--by--geo--time.csv +"geo,time",life_expectancy_at_birth_data_from_ihme,ddf--datapoints--life_expectancy_at_birth_data_from_ihme--by--geo--time.csv +"geo,time",life_expectancy_at_birth_with_projections,ddf--datapoints--life_expectancy_at_birth_with_projections--by--geo--time.csv +"geo,time",life_expectancy_female,ddf--datapoints--life_expectancy_female--by--geo--time.csv +"geo,time",life_expectancy_male,ddf--datapoints--life_expectancy_male--by--geo--time.csv +"geo,time",life_expectancy_years,ddf--datapoints--life_expectancy_years--by--geo--time.csv +"geo,time",literacy_rate_adult_female_percent_of_females_ages_15_above,ddf--datapoints--literacy_rate_adult_female_percent_of_females_ages_15_above--by--geo--time.csv +"geo,time",literacy_rate_adult_male_percent_of_males_ages_15_and_above,ddf--datapoints--literacy_rate_adult_male_percent_of_males_ages_15_and_above--by--geo--time.csv +"geo,time",literacy_rate_adult_total_percent_of_people_ages_15_and_above,ddf--datapoints--literacy_rate_adult_total_percent_of_people_ages_15_and_above--by--geo--time.csv +"geo,time",literacy_rate_youth_female_percent_of_females_ages_15_24,ddf--datapoints--literacy_rate_youth_female_percent_of_females_ages_15_24--by--geo--time.csv +"geo,time",literacy_rate_youth_male_percent_of_males_ages_15_24,ddf--datapoints--literacy_rate_youth_male_percent_of_males_ages_15_24--by--geo--time.csv +"geo,time",literacy_rate_youth_total_percent_of_people_ages_15_24,ddf--datapoints--literacy_rate_youth_total_percent_of_people_ages_15_24--by--geo--time.csv +"geo,time",liver_cancer_deaths_per_100000_men,ddf--datapoints--liver_cancer_deaths_per_100000_men--by--geo--time.csv +"geo,time",liver_cancer_deaths_per_100000_women,ddf--datapoints--liver_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",liver_cancer_new_cases_per_100000_men,ddf--datapoints--liver_cancer_new_cases_per_100000_men--by--geo--time.csv +"geo,time",liver_cancer_new_cases_per_100000_women,ddf--datapoints--liver_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",liver_cancer_number_of_female_deaths,ddf--datapoints--liver_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",liver_cancer_number_of_male_deaths,ddf--datapoints--liver_cancer_number_of_male_deaths--by--geo--time.csv +"geo,time",liver_cancer_number_of_new_female_cases,ddf--datapoints--liver_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",liver_cancer_number_of_new_male_cases,ddf--datapoints--liver_cancer_number_of_new_male_cases--by--geo--time.csv +"geo,time",long_term_unemployment_rate_percent,ddf--datapoints--long_term_unemployment_rate_percent--by--geo--time.csv +"geo,time",lung_cancer_deaths_per_100000_men,ddf--datapoints--lung_cancer_deaths_per_100000_men--by--geo--time.csv +"geo,time",lung_cancer_deaths_per_100000_women,ddf--datapoints--lung_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",lung_cancer_new_cases_per_100000_men,ddf--datapoints--lung_cancer_new_cases_per_100000_men--by--geo--time.csv +"geo,time",lung_cancer_new_cases_per_100000_women,ddf--datapoints--lung_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",lung_cancer_number_of_female_deaths,ddf--datapoints--lung_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",lung_cancer_number_of_male_deaths,ddf--datapoints--lung_cancer_number_of_male_deaths--by--geo--time.csv +"geo,time",lung_cancer_number_of_new_female_cases,ddf--datapoints--lung_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",lung_cancer_number_of_new_male_cases,ddf--datapoints--lung_cancer_number_of_new_male_cases--by--geo--time.csv +"geo,time",malaria_cases_per_100000_reported,ddf--datapoints--malaria_cases_per_100000_reported--by--geo--time.csv +"geo,time",malaria_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--malaria_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",malaria_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--malaria_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",malaria_deaths_per_100000_reported,ddf--datapoints--malaria_deaths_per_100000_reported--by--geo--time.csv +"geo,time",malaria_number_of_cases_reported,ddf--datapoints--malaria_number_of_cases_reported--by--geo--time.csv +"geo,time",malaria_number_of_deaths_reported,ddf--datapoints--malaria_number_of_deaths_reported--by--geo--time.csv +"geo,time",male_agriculture_workers_percent_of_male_labour_force,ddf--datapoints--male_agriculture_workers_percent_of_male_labour_force--by--geo--time.csv +"geo,time",male_family_workers_percent_of_male_labour_force,ddf--datapoints--male_family_workers_percent_of_male_labour_force--by--geo--time.csv +"geo,time",male_industry_workers_percent_of_male_labour_force,ddf--datapoints--male_industry_workers_percent_of_male_labour_force--by--geo--time.csv +"geo,time",male_long_term_unemployment_rate_percent,ddf--datapoints--male_long_term_unemployment_rate_percent--by--geo--time.csv +"geo,time",male_population_with_projections,ddf--datapoints--male_population_with_projections--by--geo--time.csv +"geo,time",male_salaried_workers_percent_of_male_labour_force,ddf--datapoints--male_salaried_workers_percent_of_male_labour_force--by--geo--time.csv +"geo,time",male_self_employed_percent_of_male_labour_force,ddf--datapoints--male_self_employed_percent_of_male_labour_force--by--geo--time.csv +"geo,time",male_service_workers_percent_of_male_labour_force,ddf--datapoints--male_service_workers_percent_of_male_labour_force--by--geo--time.csv +"geo,time",males_aged_15_24_employment_rate_percent,ddf--datapoints--males_aged_15_24_employment_rate_percent--by--geo--time.csv +"geo,time",males_aged_15_24_unemployment_rate_percent,ddf--datapoints--males_aged_15_24_unemployment_rate_percent--by--geo--time.csv +"geo,time",males_aged_15_64_labour_force_participation_rate_percent,ddf--datapoints--males_aged_15_64_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",males_aged_15plus_employment_rate_percent,ddf--datapoints--males_aged_15plus_employment_rate_percent--by--geo--time.csv +"geo,time",males_aged_15plus_labour_force_participation_rate_percent,ddf--datapoints--males_aged_15plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",males_aged_15plus_unemployment_rate_percent,ddf--datapoints--males_aged_15plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",males_aged_25_54_labour_force_participation_rate_percent,ddf--datapoints--males_aged_25_54_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",males_aged_25_54_unemployment_rate_percent,ddf--datapoints--males_aged_25_54_unemployment_rate_percent--by--geo--time.csv +"geo,time",males_aged_55plus_unemployment_rate_percent,ddf--datapoints--males_aged_55plus_unemployment_rate_percent--by--geo--time.csv +"geo,time",males_aged_65plus_labour_force_participation_rate_percent,ddf--datapoints--males_aged_65plus_labour_force_participation_rate_percent--by--geo--time.csv +"geo,time",malnutrition_weight_for_age_percent_of_children_under_5,ddf--datapoints--malnutrition_weight_for_age_percent_of_children_under_5--by--geo--time.csv +"geo,time",market_value_of_listed_companies_percent_of_gdp,ddf--datapoints--market_value_of_listed_companies_percent_of_gdp--by--geo--time.csv +"geo,time",maternal_deaths_lifetime_risk_per_1000,ddf--datapoints--maternal_deaths_lifetime_risk_per_1000--by--geo--time.csv +"geo,time",maternal_deaths_total_number,ddf--datapoints--maternal_deaths_total_number--by--geo--time.csv +"geo,time",maternal_mortality_ratio_per_100000_live_births,ddf--datapoints--maternal_mortality_ratio_per_100000_live_births--by--geo--time.csv +"geo,time",maternal_mortality_ratio_who,ddf--datapoints--maternal_mortality_ratio_who--by--geo--time.csv +"geo,time",math_achievement_4th_grade,ddf--datapoints--math_achievement_4th_grade--by--geo--time.csv +"geo,time",math_achievement_8th_grade,ddf--datapoints--math_achievement_8th_grade--by--geo--time.csv +"geo,time",mcv_immunized_percent_of_one_year_olds,ddf--datapoints--mcv_immunized_percent_of_one_year_olds--by--geo--time.csv +"geo,time",mean_years_in_school_men_25_to_34_years,ddf--datapoints--mean_years_in_school_men_25_to_34_years--by--geo--time.csv +"geo,time",mean_years_in_school_men_25_years_and_older,ddf--datapoints--mean_years_in_school_men_25_years_and_older--by--geo--time.csv +"geo,time",mean_years_in_school_women_25_to_34_years,ddf--datapoints--mean_years_in_school_women_25_to_34_years--by--geo--time.csv +"geo,time",mean_years_in_school_women_25_years_and_older,ddf--datapoints--mean_years_in_school_women_25_years_and_older--by--geo--time.csv +"geo,time",mean_years_in_school_women_of_reproductive_age_15_to_44,ddf--datapoints--mean_years_in_school_women_of_reproductive_age_15_to_44--by--geo--time.csv +"geo,time",mean_years_in_school_women_percent_men_25_to_34_years,ddf--datapoints--mean_years_in_school_women_percent_men_25_to_34_years--by--geo--time.csv +"geo,time",measles_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--measles_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",measles_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--measles_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",median_age_years,ddf--datapoints--median_age_years--by--geo--time.csv +"geo,time",medical_doctors_per_1000_people,ddf--datapoints--medical_doctors_per_1000_people--by--geo--time.csv +"geo,time",meningitis_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--meningitis_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",meningitis_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--meningitis_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",merchandise_trade_percent_of_gdp,ddf--datapoints--merchandise_trade_percent_of_gdp--by--geo--time.csv +"geo,time",military_expenditure_percent_of_gdp,ddf--datapoints--military_expenditure_percent_of_gdp--by--geo--time.csv +"geo,time",motorcycle_deaths_per_100000_people,ddf--datapoints--motorcycle_deaths_per_100000_people--by--geo--time.csv +"geo,time",multisector_cross_cutting_aid_given_percent_of_aid,ddf--datapoints--multisector_cross_cutting_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",municipal_water_withdrawal_cu_meters_per_person,ddf--datapoints--municipal_water_withdrawal_cu_meters_per_person--by--geo--time.csv +"geo,time",municipal_water_withdrawal_percent_of_total,ddf--datapoints--municipal_water_withdrawal_percent_of_total--by--geo--time.csv +"geo,time",murder_per_100000_people,ddf--datapoints--murder_per_100000_people--by--geo--time.csv +"geo,time",murder_total_deaths,ddf--datapoints--murder_total_deaths--by--geo--time.csv +"geo,time",murdered_15_29_per_100000_people,ddf--datapoints--murdered_15_29_per_100000_people--by--geo--time.csv +"geo,time",murdered_30_44_per_100000_people,ddf--datapoints--murdered_30_44_per_100000_people--by--geo--time.csv +"geo,time",murdered_45_59_per_100000_people,ddf--datapoints--murdered_45_59_per_100000_people--by--geo--time.csv +"geo,time",murdered_60plus_per_100000_people,ddf--datapoints--murdered_60plus_per_100000_people--by--geo--time.csv +"geo,time",murdered_children_0_14_per_100000_people,ddf--datapoints--murdered_children_0_14_per_100000_people--by--geo--time.csv +"geo,time",murdered_men_per_100000_people,ddf--datapoints--murdered_men_per_100000_people--by--geo--time.csv +"geo,time",murdered_women_per_100000_people,ddf--datapoints--murdered_women_per_100000_people--by--geo--time.csv +"geo,time",natural_gas_production_per_person,ddf--datapoints--natural_gas_production_per_person--by--geo--time.csv +"geo,time",natural_gas_production_total,ddf--datapoints--natural_gas_production_total--by--geo--time.csv +"geo,time",natural_gas_proved_reserves_total,ddf--datapoints--natural_gas_proved_reserves_total--by--geo--time.csv +"geo,time",natural_gas_proven_reserves_per_person,ddf--datapoints--natural_gas_proven_reserves_per_person--by--geo--time.csv +"geo,time",ncd_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--ncd_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",ncd_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--ncd_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",net_barter_terms_of_trade_2000_100,ddf--datapoints--net_barter_terms_of_trade_2000_100--by--geo--time.csv +"geo,time",new_births_total_number_estimated,ddf--datapoints--new_births_total_number_estimated--by--geo--time.csv +"geo,time",newborn_deaths,ddf--datapoints--newborn_deaths--by--geo--time.csv +"geo,time",newborn_mortality_rate_per_1000,ddf--datapoints--newborn_mortality_rate_per_1000--by--geo--time.csv +"geo,time",newly_hiv_infected_number_all_ages,ddf--datapoints--newly_hiv_infected_number_all_ages--by--geo--time.csv +"geo,time",newly_hiv_infected_percent_age_15_49,ddf--datapoints--newly_hiv_infected_percent_age_15_49--by--geo--time.csv +"geo,time",nuclear_power_generation_per_person,ddf--datapoints--nuclear_power_generation_per_person--by--geo--time.csv +"geo,time",nuclear_power_generation_total,ddf--datapoints--nuclear_power_generation_total--by--geo--time.csv +"geo,time",number_of_child_deaths,ddf--datapoints--number_of_child_deaths--by--geo--time.csv +"geo,time",number_of_people_in_poverty,ddf--datapoints--number_of_people_in_poverty--by--geo--time.csv +"geo,time",oil_consumption_per_cap,ddf--datapoints--oil_consumption_per_cap--by--geo--time.csv +"geo,time",oil_consumption_total,ddf--datapoints--oil_consumption_total--by--geo--time.csv +"geo,time",oil_production_per_person,ddf--datapoints--oil_production_per_person--by--geo--time.csv +"geo,time",oil_production_total,ddf--datapoints--oil_production_total--by--geo--time.csv +"geo,time",oil_proved_reserves_total,ddf--datapoints--oil_proved_reserves_total--by--geo--time.csv +"geo,time",oil_proven_reserves_per_person,ddf--datapoints--oil_proven_reserves_per_person--by--geo--time.csv +"geo,time",old_version_of_income_per_person_version_3,ddf--datapoints--old_version_of_income_per_person_version_3--by--geo--time.csv +"geo,time",old_version_of_income_per_person_version_8,ddf--datapoints--old_version_of_income_per_person_version_8--by--geo--time.csv +"geo,time",other_deaths_in_newborn_per_1000_births,ddf--datapoints--other_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",other_deaths_in_newborn_total_deaths,ddf--datapoints--other_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",other_infections_deaths_in_children_1_59_months_per_1000_birt,ddf--datapoints--other_infections_deaths_in_children_1_59_months_per_1000_birt--by--geo--time.csv +"geo,time",other_infections_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--other_infections_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",other_social_services_aid_given_percent_of_aid,ddf--datapoints--other_social_services_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",out_of_pocket_share_of_total_health_spending_percent,ddf--datapoints--out_of_pocket_share_of_total_health_spending_percent--by--geo--time.csv +"geo,time",pab_immunized_percent_of_newborns,ddf--datapoints--pab_immunized_percent_of_newborns--by--geo--time.csv +"geo,time",patent_applications_total,ddf--datapoints--patent_applications_total--by--geo--time.csv +"geo,time",patents_granted_total,ddf--datapoints--patents_granted_total--by--geo--time.csv +"geo,time",patents_in_force_total,ddf--datapoints--patents_in_force_total--by--geo--time.csv +"geo,time",people_living_with_hiv_number_all_ages,ddf--datapoints--people_living_with_hiv_number_all_ages--by--geo--time.csv +"geo,time",personal_computers_per_100_people,ddf--datapoints--personal_computers_per_100_people--by--geo--time.csv +"geo,time",personal_computers_total,ddf--datapoints--personal_computers_total--by--geo--time.csv +"geo,time",pertussis_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--pertussis_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",pertussis_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--pertussis_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",plane_crash_affected_annual_number,ddf--datapoints--plane_crash_affected_annual_number--by--geo--time.csv +"geo,time",plane_crash_deaths_annual_number,ddf--datapoints--plane_crash_deaths_annual_number--by--geo--time.csv +"geo,time",planted_forest_area_ha,ddf--datapoints--planted_forest_area_ha--by--geo--time.csv +"geo,time",pneumonia_deaths_in_children_1_59_months_per_1000_births,ddf--datapoints--pneumonia_deaths_in_children_1_59_months_per_1000_births--by--geo--time.csv +"geo,time",pneumonia_deaths_in_children_1_59_months_total_deaths,ddf--datapoints--pneumonia_deaths_in_children_1_59_months_total_deaths--by--geo--time.csv +"geo,time",pneumonia_deaths_in_newborn_per_1000_births,ddf--datapoints--pneumonia_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",pneumonia_deaths_in_newborn_total_deaths,ddf--datapoints--pneumonia_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",poisonings_deaths_per_100000_people,ddf--datapoints--poisonings_deaths_per_100000_people--by--geo--time.csv +"geo,time",population_aged_0_4_years_both_sexes_percent,ddf--datapoints--population_aged_0_4_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_0_4_years_female_percent,ddf--datapoints--population_aged_0_4_years_female_percent--by--geo--time.csv +"geo,time",population_aged_0_4_years_male_percent,ddf--datapoints--population_aged_0_4_years_male_percent--by--geo--time.csv +"geo,time",population_aged_0_4_years_total_number,ddf--datapoints--population_aged_0_4_years_total_number--by--geo--time.csv +"geo,time",population_aged_10_14_years_both_sexes_percent,ddf--datapoints--population_aged_10_14_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_10_14_years_female_percent,ddf--datapoints--population_aged_10_14_years_female_percent--by--geo--time.csv +"geo,time",population_aged_10_14_years_male_percent,ddf--datapoints--population_aged_10_14_years_male_percent--by--geo--time.csv +"geo,time",population_aged_10_14_years_total_number,ddf--datapoints--population_aged_10_14_years_total_number--by--geo--time.csv +"geo,time",population_aged_15_19_years_both_sexes_percent,ddf--datapoints--population_aged_15_19_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_15_19_years_female_percent,ddf--datapoints--population_aged_15_19_years_female_percent--by--geo--time.csv +"geo,time",population_aged_15_19_years_male_percent,ddf--datapoints--population_aged_15_19_years_male_percent--by--geo--time.csv +"geo,time",population_aged_15_19_years_total_number,ddf--datapoints--population_aged_15_19_years_total_number--by--geo--time.csv +"geo,time",population_aged_20_39_years_both_sexes_percent,ddf--datapoints--population_aged_20_39_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_20_39_years_female_percent,ddf--datapoints--population_aged_20_39_years_female_percent--by--geo--time.csv +"geo,time",population_aged_20_39_years_male_percent,ddf--datapoints--population_aged_20_39_years_male_percent--by--geo--time.csv +"geo,time",population_aged_20_39_years_total_number,ddf--datapoints--population_aged_20_39_years_total_number--by--geo--time.csv +"geo,time",population_aged_40_59_years_both_sexes_percent,ddf--datapoints--population_aged_40_59_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_40_59_years_female_percent,ddf--datapoints--population_aged_40_59_years_female_percent--by--geo--time.csv +"geo,time",population_aged_40_59_years_male_percent,ddf--datapoints--population_aged_40_59_years_male_percent--by--geo--time.csv +"geo,time",population_aged_40_59_years_total_number,ddf--datapoints--population_aged_40_59_years_total_number--by--geo--time.csv +"geo,time",population_aged_5_9_years_both_sexes_percent,ddf--datapoints--population_aged_5_9_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_5_9_years_female_percent,ddf--datapoints--population_aged_5_9_years_female_percent--by--geo--time.csv +"geo,time",population_aged_5_9_years_male_percent,ddf--datapoints--population_aged_5_9_years_male_percent--by--geo--time.csv +"geo,time",population_aged_5_9_years_total_number,ddf--datapoints--population_aged_5_9_years_total_number--by--geo--time.csv +"geo,time",population_aged_60plus_years_both_sexes_percent,ddf--datapoints--population_aged_60plus_years_both_sexes_percent--by--geo--time.csv +"geo,time",population_aged_60plus_years_female_percent,ddf--datapoints--population_aged_60plus_years_female_percent--by--geo--time.csv +"geo,time",population_aged_60plus_years_male_percent,ddf--datapoints--population_aged_60plus_years_male_percent--by--geo--time.csv +"geo,time",population_aged_60plus_years_total_number,ddf--datapoints--population_aged_60plus_years_total_number--by--geo--time.csv +"geo,time",population_density_per_square_km,ddf--datapoints--population_density_per_square_km--by--geo--time.csv +"geo,time",population_growth_annual_percent,ddf--datapoints--population_growth_annual_percent--by--geo--time.csv +"geo,time",population_growth_annual_percent_with_projections,ddf--datapoints--population_growth_annual_percent_with_projections--by--geo--time.csv +"geo,time",population_in_urban_agglomerations_m_1_million_percent_of_total,ddf--datapoints--population_in_urban_agglomerations_m_1_million_percent_of_total--by--geo--time.csv +"geo,time",population_policies_aid_given_percent_of_aid,ddf--datapoints--population_policies_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",population_total,ddf--datapoints--population_total--by--geo--time.csv +"geo,time",poverty_percent_people_below_2_a_day,ddf--datapoints--poverty_percent_people_below_2_a_day--by--geo--time.csv +"geo,time",prematurity_deaths_in_newborn_per_1000_births,ddf--datapoints--prematurity_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",prematurity_deaths_in_newborn_total_deaths,ddf--datapoints--prematurity_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",present_value_of_debt_percent_of_gni,ddf--datapoints--present_value_of_debt_percent_of_gni--by--geo--time.csv +"geo,time",primary_completion_rate_total_percent_of_relevant_age_group,ddf--datapoints--primary_completion_rate_total_percent_of_relevant_age_group--by--geo--time.csv +"geo,time",primary_forest_area_ha,ddf--datapoints--primary_forest_area_ha--by--geo--time.csv +"geo,time",primary_school_completion_percent_of_boys,ddf--datapoints--primary_school_completion_percent_of_boys--by--geo--time.csv +"geo,time",primary_school_completion_percent_of_girls,ddf--datapoints--primary_school_completion_percent_of_girls--by--geo--time.csv +"geo,time",private_share_of_total_health_spending_percent,ddf--datapoints--private_share_of_total_health_spending_percent--by--geo--time.csv +"geo,time",privately_owned_forest_land_percent,ddf--datapoints--privately_owned_forest_land_percent--by--geo--time.csv +"geo,time",privately_owned_other_wooded_land_percent,ddf--datapoints--privately_owned_other_wooded_land_percent--by--geo--time.csv +"geo,time",production_sector_aid_given_percent_of_aid,ddf--datapoints--production_sector_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",prostate_cancer_deaths_per_100000_men,ddf--datapoints--prostate_cancer_deaths_per_100000_men--by--geo--time.csv +"geo,time",prostate_cancer_new_cases_per_100000_men,ddf--datapoints--prostate_cancer_new_cases_per_100000_men--by--geo--time.csv +"geo,time",prostate_cancer_number_of_male_deaths,ddf--datapoints--prostate_cancer_number_of_male_deaths--by--geo--time.csv +"geo,time",prostate_cancer_number_of_new_male_cases,ddf--datapoints--prostate_cancer_number_of_new_male_cases--by--geo--time.csv +"geo,time",pump_price_for_gasoline_us_per_liter,ddf--datapoints--pump_price_for_gasoline_us_per_liter--by--geo--time.csv +"geo,time",ratio_of_girls_to_boys_in_primary_and_secondary_education_perc,ddf--datapoints--ratio_of_girls_to_boys_in_primary_and_secondary_education_perc--by--geo--time.csv +"geo,time",ratio_of_young_literate_females_to_males_percent_ages_15_24,ddf--datapoints--ratio_of_young_literate_females_to_males_percent_ages_15_24--by--geo--time.csv +"geo,time",renewable_water_cu_meters_per_person,ddf--datapoints--renewable_water_cu_meters_per_person--by--geo--time.csv +"geo,time",residential_electricity_use_per_person,ddf--datapoints--residential_electricity_use_per_person--by--geo--time.csv +"geo,time",residential_electricity_use_total,ddf--datapoints--residential_electricity_use_total--by--geo--time.csv +"geo,time",residential_energy_use_percent,ddf--datapoints--residential_energy_use_percent--by--geo--time.csv +"geo,time",roads_paved_percent_of_total_roads,ddf--datapoints--roads_paved_percent_of_total_roads--by--geo--time.csv +"geo,time",rural_poverty_percent_rural_people_below_national_rural,ddf--datapoints--rural_poverty_percent_rural_people_below_national_rural--by--geo--time.csv +"geo,time",salaried_workers_percent_of_labour_force,ddf--datapoints--salaried_workers_percent_of_labour_force--by--geo--time.csv +"geo,time",self_employed_percent_of_labour_force,ddf--datapoints--self_employed_percent_of_labour_force--by--geo--time.csv +"geo,time",sepsis_deaths_in_newborn_per_1000_births,ddf--datapoints--sepsis_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",sepsis_deaths_in_newborn_total_deaths,ddf--datapoints--sepsis_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",service_workers_percent_of_labour_force,ddf--datapoints--service_workers_percent_of_labour_force--by--geo--time.csv +"geo,time",services_percent_of_gdp,ddf--datapoints--services_percent_of_gdp--by--geo--time.csv +"geo,time",sex_ratio_0_14_years,ddf--datapoints--sex_ratio_0_14_years--by--geo--time.csv +"geo,time",sex_ratio_15_24_years,ddf--datapoints--sex_ratio_15_24_years--by--geo--time.csv +"geo,time",sex_ratio_15_49_years,ddf--datapoints--sex_ratio_15_49_years--by--geo--time.csv +"geo,time",sex_ratio_above_50_years,ddf--datapoints--sex_ratio_above_50_years--by--geo--time.csv +"geo,time",sex_ratio_all_age_groups,ddf--datapoints--sex_ratio_all_age_groups--by--geo--time.csv +"geo,time",gapminder_gini,ddf--datapoints--gapminder_gini--by--geo--time.csv +"geo,time",smoking_adults_percent_of_population_over_age_15,ddf--datapoints--smoking_adults_percent_of_population_over_age_15--by--geo--time.csv +"geo,time",smoking_men_percent_of_men_over_age_15,ddf--datapoints--smoking_men_percent_of_men_over_age_15--by--geo--time.csv +"geo,time",smoking_women_percent_of_women_over_age_15,ddf--datapoints--smoking_women_percent_of_women_over_age_15--by--geo--time.csv +"geo,time",stillbirths_per_1000_births,ddf--datapoints--stillbirths_per_1000_births--by--geo--time.csv +"geo,time",stomach_cancer_deaths_per_100000_men,ddf--datapoints--stomach_cancer_deaths_per_100000_men--by--geo--time.csv +"geo,time",stomach_cancer_deaths_per_100000_women,ddf--datapoints--stomach_cancer_deaths_per_100000_women--by--geo--time.csv +"geo,time",stomach_cancer_new_cases_per_100000_men,ddf--datapoints--stomach_cancer_new_cases_per_100000_men--by--geo--time.csv +"geo,time",stomach_cancer_new_cases_per_100000_women,ddf--datapoints--stomach_cancer_new_cases_per_100000_women--by--geo--time.csv +"geo,time",stomach_cancer_number_of_female_deaths,ddf--datapoints--stomach_cancer_number_of_female_deaths--by--geo--time.csv +"geo,time",stomach_cancer_number_of_male_deaths,ddf--datapoints--stomach_cancer_number_of_male_deaths--by--geo--time.csv +"geo,time",stomach_cancer_number_of_new_female_cases,ddf--datapoints--stomach_cancer_number_of_new_female_cases--by--geo--time.csv +"geo,time",stomach_cancer_number_of_new_male_cases,ddf--datapoints--stomach_cancer_number_of_new_male_cases--by--geo--time.csv +"geo,time",storm_affected_annual_number,ddf--datapoints--storm_affected_annual_number--by--geo--time.csv +"geo,time",storm_deaths_annual_number,ddf--datapoints--storm_deaths_annual_number--by--geo--time.csv +"geo,time",subsistence_incomes_per_person,ddf--datapoints--subsistence_incomes_per_person--by--geo--time.csv +"geo,time",sugar_per_person_g_per_day,ddf--datapoints--sugar_per_person_g_per_day--by--geo--time.csv +"geo,time",suicide_age_0_14_per_100000_people,ddf--datapoints--suicide_age_0_14_per_100000_people--by--geo--time.csv +"geo,time",suicide_age_15_29_per_100000_people,ddf--datapoints--suicide_age_15_29_per_100000_people--by--geo--time.csv +"geo,time",suicide_age_30_44_per_100000_people,ddf--datapoints--suicide_age_30_44_per_100000_people--by--geo--time.csv +"geo,time",suicide_age_45_59_per_100000_people,ddf--datapoints--suicide_age_45_59_per_100000_people--by--geo--time.csv +"geo,time",suicide_age_60plus_per_100000_people,ddf--datapoints--suicide_age_60plus_per_100000_people--by--geo--time.csv +"geo,time",suicide_men_per_100000_people,ddf--datapoints--suicide_men_per_100000_people--by--geo--time.csv +"geo,time",suicide_per_100000_people,ddf--datapoints--suicide_per_100000_people--by--geo--time.csv +"geo,time",suicide_total_deaths,ddf--datapoints--suicide_total_deaths--by--geo--time.csv +"geo,time",suicide_women_per_100000_people,ddf--datapoints--suicide_women_per_100000_people--by--geo--time.csv +"geo,time",sulfur_emissions_per_person_kg,ddf--datapoints--sulfur_emissions_per_person_kg--by--geo--time.csv +"geo,time",surface_area_sq_km,ddf--datapoints--surface_area_sq_km--by--geo--time.csv +"geo,time",surviving_kids_per_woman,ddf--datapoints--surviving_kids_per_woman--by--geo--time.csv +"geo,time",tax_revenue_percent_of_gdp,ddf--datapoints--tax_revenue_percent_of_gdp--by--geo--time.csv +"geo,time",tb_programme_dots_population_coverage_percent,ddf--datapoints--tb_programme_dots_population_coverage_percent--by--geo--time.csv +"geo,time",tb_with_hivplus_deaths_per_100000_estimated,ddf--datapoints--tb_with_hivplus_deaths_per_100000_estimated--by--geo--time.csv +"geo,time",tb_with_hivplus_existing_cases_per_100000_estimated,ddf--datapoints--tb_with_hivplus_existing_cases_per_100000_estimated--by--geo--time.csv +"geo,time",tb_with_hivplus_new_cases_per_100000_estimated,ddf--datapoints--tb_with_hivplus_new_cases_per_100000_estimated--by--geo--time.csv +"geo,time",tb_with_hivplus_number_of_deaths_estimated,ddf--datapoints--tb_with_hivplus_number_of_deaths_estimated--by--geo--time.csv +"geo,time",tb_with_hivplus_number_of_existing_cases_estimated,ddf--datapoints--tb_with_hivplus_number_of_existing_cases_estimated--by--geo--time.csv +"geo,time",tb_with_hivplus_number_of_new_cases_estimated,ddf--datapoints--tb_with_hivplus_number_of_new_cases_estimated--by--geo--time.csv +"geo,time",teen_fertility_rate_births_per_1000_women_ages_15_19,ddf--datapoints--teen_fertility_rate_births_per_1000_women_ages_15_19--by--geo--time.csv +"geo,time",tetanus_deaths_in_newborn_per_1000_births,ddf--datapoints--tetanus_deaths_in_newborn_per_1000_births--by--geo--time.csv +"geo,time",tetanus_deaths_in_newborn_total_deaths,ddf--datapoints--tetanus_deaths_in_newborn_total_deaths--by--geo--time.csv +"geo,time",total_gdp_ppp_inflation_adjusted,ddf--datapoints--total_gdp_ppp_inflation_adjusted--by--geo--time.csv +"geo,time",total_gdp_us_inflation_adjusted,ddf--datapoints--total_gdp_us_inflation_adjusted--by--geo--time.csv +"geo,time",total_gni_ppp_current_international,ddf--datapoints--total_gni_ppp_current_international--by--geo--time.csv +"geo,time",total_health_spending_per_person_international_dollar,ddf--datapoints--total_health_spending_per_person_international_dollar--by--geo--time.csv +"geo,time",total_health_spending_per_person_us,ddf--datapoints--total_health_spending_per_person_us--by--geo--time.csv +"geo,time",total_health_spending_percent_of_gdp,ddf--datapoints--total_health_spending_percent_of_gdp--by--geo--time.csv +"geo,time",total_number_of_dollar_billionaires,ddf--datapoints--total_number_of_dollar_billionaires--by--geo--time.csv +"geo,time",total_population_with_projections,ddf--datapoints--total_population_with_projections--by--geo--time.csv +"geo,time",total_reserves_percent_of_debt_to_foreigners,ddf--datapoints--total_reserves_percent_of_debt_to_foreigners--by--geo--time.csv +"geo,time",total_sulfur_emission_kilotonnes,ddf--datapoints--total_sulfur_emission_kilotonnes--by--geo--time.csv +"geo,time",total_water_withdrawal_billion_cu_meters,ddf--datapoints--total_water_withdrawal_billion_cu_meters--by--geo--time.csv +"geo,time",trade_balance_percent_of_gdp,ddf--datapoints--trade_balance_percent_of_gdp--by--geo--time.csv +"geo,time",trade_balance_us_not_inflation_adjusted,ddf--datapoints--trade_balance_us_not_inflation_adjusted--by--geo--time.csv +"geo,time",traffic_deaths_men_per_100000_people,ddf--datapoints--traffic_deaths_men_per_100000_people--by--geo--time.csv +"geo,time",traffic_deaths_per_100000_people,ddf--datapoints--traffic_deaths_per_100000_people--by--geo--time.csv +"geo,time",traffic_deaths_women_per_100000_people,ddf--datapoints--traffic_deaths_women_per_100000_people--by--geo--time.csv +"geo,time",traffic_mortality_15_29_per_100000_people,ddf--datapoints--traffic_mortality_15_29_per_100000_people--by--geo--time.csv +"geo,time",traffic_mortality_30_44_per_100000_people,ddf--datapoints--traffic_mortality_30_44_per_100000_people--by--geo--time.csv +"geo,time",traffic_mortality_45_59_per_100000_people,ddf--datapoints--traffic_mortality_45_59_per_100000_people--by--geo--time.csv +"geo,time",traffic_mortality_60plus_per_100000_people,ddf--datapoints--traffic_mortality_60plus_per_100000_people--by--geo--time.csv +"geo,time",traffic_mortality_children_0_14_per_100000_people,ddf--datapoints--traffic_mortality_children_0_14_per_100000_people--by--geo--time.csv +"geo,time",traffic_total_deaths,ddf--datapoints--traffic_total_deaths--by--geo--time.csv +"geo,time",tsunami_affected_annual_number,ddf--datapoints--tsunami_affected_annual_number--by--geo--time.csv +"geo,time",tsunami_deaths_annual_number,ddf--datapoints--tsunami_deaths_annual_number--by--geo--time.csv +"geo,time",under_five_mortality_from_cme_per_1000_born,ddf--datapoints--under_five_mortality_from_cme_per_1000_born--by--geo--time.csv +"geo,time",under_five_mortality_from_ihme_per_1000_born,ddf--datapoints--under_five_mortality_from_ihme_per_1000_born--by--geo--time.csv +"geo,time",underweight_children,ddf--datapoints--underweight_children--by--geo--time.csv +"geo,time",urban_population,ddf--datapoints--urban_population--by--geo--time.csv +"geo,time",urban_population_growth_annual_percent,ddf--datapoints--urban_population_growth_annual_percent--by--geo--time.csv +"geo,time",urban_population_percent_of_total,ddf--datapoints--urban_population_percent_of_total--by--geo--time.csv +"geo,time",urban_poverty_percent_urban_people_below_national_urban,ddf--datapoints--urban_poverty_percent_urban_people_below_national_urban--by--geo--time.csv +"geo,time",water_and_sanitation_aid_given_percent_of_aid,ddf--datapoints--water_and_sanitation_aid_given_percent_of_aid--by--geo--time.csv +"geo,time",water_withdrawal_cu_meters_per_person,ddf--datapoints--water_withdrawal_cu_meters_per_person--by--geo--time.csv +"geo,time",wood_removal_cubic_meters,ddf--datapoints--wood_removal_cubic_meters--by--geo--time.csv +"geo,time",working_hours_per_week,ddf--datapoints--working_hours_per_week--by--geo--time.csv +"geo,time",year_categorization_1820_2010,ddf--datapoints--year_categorization_1820_2010--by--geo--time.csv +"geo,time",year_categorization_1950,ddf--datapoints--year_categorization_1950--by--geo--time.csv +"geo,time",yearly_co2_emissions_1000_tonnes,ddf--datapoints--yearly_co2_emissions_1000_tonnes--by--geo--time.csv +country,gwid,ddf--entities--geo--country.csv +country,name,ddf--entities--geo--country.csv +country,world_6region,ddf--entities--geo--country.csv +country,income_groups,ddf--entities--geo--country.csv +country,landlocked,ddf--entities--geo--country.csv +country,g77_and_oecd_countries,ddf--entities--geo--country.csv +country,main_religion_2008,ddf--entities--geo--country.csv +country,gapminder_list,ddf--entities--geo--country.csv +country,alternative_1,ddf--entities--geo--country.csv +country,alternative_2,ddf--entities--geo--country.csv +country,alternative_3,ddf--entities--geo--country.csv +country,alternative_4_cdiac,ddf--entities--geo--country.csv +country,pandg,ddf--entities--geo--country.csv +country,god_id,ddf--entities--geo--country.csv +country,alt_5,ddf--entities--geo--country.csv +country,upper_case_name,ddf--entities--geo--country.csv +country,code,ddf--entities--geo--country.csv +country,number,ddf--entities--geo--country.csv +country,arb1,ddf--entities--geo--country.csv +country,arb2,ddf--entities--geo--country.csv +country,arb3,ddf--entities--geo--country.csv +country,arb4,ddf--entities--geo--country.csv +country,arb5,ddf--entities--geo--country.csv +country,arb6,ddf--entities--geo--country.csv +country,is--country,ddf--entities--geo--country.csv 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