Global Cement Production And Emissions Analysis by Kaggle | Finance and Economics

About this Dataset

Global Cement Production And Emissions Analysis

Global Cement Production and Emissions Analysis

Detailed Country-by-Country Overviews

About this dataset

This dataset provides an in-depth and comprehensive insight into the global cement production and emissions landscape. It comprises information from five different sources across 25 countries, creating a holistic picture of the current industry trends. With this data at your fingertips, you can gain valuable insights on how various nations are tackling cement production in terms of sustainability and climate change awareness. Analyzing this dataset can help you identify any discrepancies across different sources, create evidence-based strategies for your own operations, or simply serve as a reference point for further research. This dataset paints a vivid picture of the evolving global cement industry that no other resource offers – may it be instrumental in helping you stay ahead of the competition!

More Datasets

For more datasets, click here.

Featured Notebooks

🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive insight into global cement production and emissions across 25 countries. This guide will explain how to use this dataset to analyze industry trends, compare and contrast different countries' strategies, identify discrepancies between sources, and serve as a reference point for further research.

Analyzing Industry Trends: By examining the data from different sources over time, such as cement production numbers or domestic sales figures over the years90-2022, it is possible to understand various trends in the market - such as growth rates for each country or export/import ratios. This dataset can be used to gain insights into how each country is performing within an increasingly competitive market and inform strategic decisions accordingly.

Comparing Countries: By analyzing the data alongside one another, it is possible to draw valuable conclusions that compare different approaches adopted by various countries when it comes to implementation of sustainable practices while producingcement - such as emissions levels and imports/exports relationshipssectors like construction. These comparisons can then be usedtodo better inform strategic decisions regarding capital investments in cement producers or assess whether certain governments are successful enough at propelling green initiatives in their respective markets..

Identifying Discrepancies: Different sources often have contradicting information about various elements of this market (e..gclinker versus other cement). The dataset can help uncover if any significant deviations found betweenresources source information and resolve them effectively so better decisions can be made after thato obtain reliable results from analysis based on validated findings dverifying accuracy . .

4 Servingas Reference Point for Further Research: To draw insightful conclusions ndaboutthismarketGiven hava tthat influeneffectcts multiple stake holders , whhis sourceces()dataset provides ample opportunity s fo c er researchers across durrentadn futureconomies by providing reliable information . It serves well as a reference pointoter research based on both founded factsnd eawareness ion ngthe currentatio en mthenaen tions ederdeveloped conomieanieswhich ma yy fac esmany challees when adopting unfamiliar ecosystem strategiesregar ding ceItment producyon esd emissionss , therefore hhelping those entities discover appropriate ways forward through contextualized formatianand facilitates potential collaborations owrds winrkwin solutions fos global issues.

Research Ideas

Benchmarking: This dataset can be used to benchmark the performance of various countries in terms of cement production and emissions, allowing stakeholders to identify discrepancies and opportunities for improvement.

Strategic Decisions: By analyzing this dataset, stakeholders can make data-driven decisions about altering strategy or improving operations to reduce emissions and achieve sustainability goals.

Trend Analysis: This dataset allows researchers to monitor long-term trends in global cement production and emissions over time, helping institutions track industry performance more accurately

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: 3. JPN japan_cement_data.csv

Column name	Description
Month	The month of the data point. (Date)
High early strength and moderate heat portland cement	The amount of high early strength and moderate heat portland cement produced in the given month. (Numeric)
Ordinary portland cement	The amount of ordinary portland cement produced in the given month. (Numeric)
Portland blastfurnace cement	The amount of portland blastfurnace cement produced in the given month. (Numeric)
Other cement	The amount of other cement produced in the given month. (Numeric)
Clinker	The amount of clinker produced in the given month. (Numeric)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

N 1 Cement Emissions Data

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_1_cement_emissions_data

212.66 KB
142 rows
221 columns


CREATE TABLE n_1_cement_emissions_data (
  "year" BIGINT,
  "afghanistan" DOUBLE,
  "albania" DOUBLE,
  "algeria" DOUBLE,
  "andorra" BIGINT,
  "angola" DOUBLE,
  "anguilla" DOUBLE,
  "antigua_and_barbuda" DOUBLE,
  "argentina" DOUBLE,
  "armenia" DOUBLE,
  "aruba" DOUBLE,
  "australia" DOUBLE,
  "austria" DOUBLE,
  "azerbaijan" DOUBLE,
  "bahamas" DOUBLE,
  "bahrain" DOUBLE,
  "bangladesh" DOUBLE,
  "barbados" DOUBLE,
  "belarus" DOUBLE,
  "belgium" DOUBLE,
  "belize" DOUBLE,
  "benin" DOUBLE,
  "bermuda" DOUBLE,
  "bhutan" DOUBLE,
  "bonaire_saint_eustatius_and_saba" DOUBLE,
  "bosnia_and_herzegovina" DOUBLE,
  "botswana" DOUBLE,
  "brazil" DOUBLE,
  "british_virgin_islands" DOUBLE,
  "brunei_darussalam" BIGINT,
  "bulgaria" DOUBLE,
  "burkina_faso" DOUBLE,
  "burundi" DOUBLE,
  "cambodia" DOUBLE,
  "canada" DOUBLE,
  "cape_verde" DOUBLE,
  "central_african_republic" DOUBLE,
  "chad" DOUBLE,
  "chile" DOUBLE,
  "china" DOUBLE,
  "colombia" DOUBLE,
  "comoros" DOUBLE,
  "congo" DOUBLE,
  "cook_islands" DOUBLE,
  "costa_rica" DOUBLE,
  "c_te_d_ivoire" BIGINT,
  "croatia" DOUBLE,
  "cuba" DOUBLE,
  "cura_ao" DOUBLE,
  "cyprus" DOUBLE,
  "czech_republic" DOUBLE,
  "north_korea" DOUBLE,
  "democratic_republic_of_the_congo" DOUBLE,
  "denmark" DOUBLE,
  "djibouti" DOUBLE,
  "dominica" DOUBLE,
  "dominican_republic" DOUBLE,
  "ecuador" DOUBLE,
  "egypt" DOUBLE,
  "el_salvador" DOUBLE,
  "equatorial_guinea" DOUBLE,
  "eritrea" DOUBLE,
  "estonia" DOUBLE,
  "ethiopia" DOUBLE,
  "faeroe_islands" BIGINT,
  "micronesia_federated_states_of" DOUBLE,
  "fiji" DOUBLE,
  "finland" DOUBLE,
  "france" DOUBLE,
  "french_guiana" BIGINT,
  "french_polynesia" DOUBLE,
  "gabon" DOUBLE,
  "gambia" DOUBLE,
  "georgia" DOUBLE,
  "germany" DOUBLE,
  "ghana" DOUBLE,
  "greece" DOUBLE,
  "greenland" BIGINT,
  "grenada" DOUBLE,
  "guadeloupe" BIGINT,
  "guatemala" DOUBLE,
  "guinea" BIGINT,
  "guinea_bissau" DOUBLE,
  "guyana" DOUBLE,
  "haiti" DOUBLE,
  "honduras" DOUBLE,
  "hong_kong" DOUBLE,
  "hungary" DOUBLE,
  "iceland" DOUBLE,
  "india" DOUBLE,
  "indonesia" DOUBLE,
  "iraq" DOUBLE,
  "ireland" DOUBLE,
  "iran" DOUBLE,
  "israel" DOUBLE,
  "italy" DOUBLE,
  "jamaica" DOUBLE,
  "japan" DOUBLE,
  "jordan" DOUBLE,
  "kazakhstan" DOUBLE
);

N 2 Unfccc 2022 Main Data

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_2_unfccc_2022_main_data

36.84 KB
31 rows
43 columns


CREATE TABLE n_2_unfccc_2022_main_data (
  "year" BIGINT,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "bel" DOUBLE,
  "bgr" DOUBLE,
  "blr" DOUBLE,
  "can" DOUBLE,
  "che" DOUBLE,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "deu" DOUBLE,
  "dnk" DOUBLE,
  "esp" DOUBLE,
  "est" DOUBLE,
  "fin" DOUBLE,
  "fra" DOUBLE,
  "gbr" DOUBLE,
  "grc" DOUBLE,
  "hrv" DOUBLE,
  "hun" DOUBLE,
  "irl" DOUBLE,
  "isl" DOUBLE,
  "ita" DOUBLE,
  "jpn" DOUBLE,
  "kaz" DOUBLE,
  "lie" BIGINT,
  "ltu" DOUBLE,
  "lux" DOUBLE,
  "lva" DOUBLE,
  "mlt" BIGINT,
  "nld" DOUBLE,
  "nor" DOUBLE,
  "nzl" DOUBLE,
  "pol" DOUBLE,
  "prt" DOUBLE,
  "rou" DOUBLE,
  "rus" DOUBLE,
  "svk" DOUBLE,
  "svn" DOUBLE,
  "swe" DOUBLE,
  "tur" DOUBLE,
  "ukr" DOUBLE,
  "usa" DOUBLE
);

N 3 Tur Turkey Cement Data

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_3_tur_turkey_cement_data

11.51 KB
63 rows
10 columns


CREATE TABLE n_3_tur_turkey_cement_data (
  "month" VARCHAR,
  "cement_production" DOUBLE,
  "cement_domestic_sales" BIGINT,
  "cement_exports" BIGINT,
  "cement_total_sales" BIGINT,
  "cement_stock" DOUBLE,
  "clinker_production" DOUBLE,
  "clinker_imports" BIGINT,
  "clinker_exports" DOUBLE,
  "clinker_stock" DOUBLE
);

N 4 Cement Production 0 Usgs1990

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_0_usgs1990

128.13 KB
32 rows
173 columns


CREATE TABLE n_4_cement_production_0_usgs1990 (
  "year" BIGINT,
  "afg" DOUBLE,
  "ago" DOUBLE,
  "alb" DOUBLE,
  "are" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bdi" DOUBLE,
  "bel" DOUBLE,
  "ben" DOUBLE,
  "bfa" DOUBLE,
  "bgd" DOUBLE,
  "bgr" DOUBLE,
  "bhr" DOUBLE,
  "bih" DOUBLE,
  "blr" DOUBLE,
  "bol" DOUBLE,
  "bra" DOUBLE,
  "brb" DOUBLE,
  "brn" DOUBLE,
  "btn" DOUBLE,
  "bwa" DOUBLE,
  "can" DOUBLE,
  "che" DOUBLE,
  "chl" DOUBLE,
  "chn" BIGINT,
  "civ" DOUBLE,
  "cmr" DOUBLE,
  "cod" DOUBLE,
  "cog" DOUBLE,
  "col" DOUBLE,
  "cri" DOUBLE,
  "csk" DOUBLE,
  "cub" DOUBLE,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "ddr" DOUBLE,
  "deu" DOUBLE,
  "dew" DOUBLE,
  "dji" DOUBLE,
  "dnk" DOUBLE,
  "dom" DOUBLE,
  "dza" DOUBLE,
  "ecu" DOUBLE,
  "egy" BIGINT,
  "eri" DOUBLE,
  "esp" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fin" DOUBLE,
  "fji" DOUBLE,
  "fra" DOUBLE,
  "gab" DOUBLE,
  "gbr" DOUBLE,
  "geo" DOUBLE,
  "gha" DOUBLE,
  "gin" DOUBLE,
  "glp" DOUBLE,
  "grc" DOUBLE,
  "gtm" DOUBLE,
  "guf" DOUBLE,
  "guy" DOUBLE,
  "hkg" DOUBLE,
  "hnd" DOUBLE,
  "hrv" DOUBLE,
  "hti" DOUBLE,
  "hun" DOUBLE,
  "idn" DOUBLE,
  "ind" BIGINT,
  "irl" DOUBLE,
  "irn" BIGINT,
  "irq" DOUBLE,
  "isl" DOUBLE,
  "isr" DOUBLE,
  "ita" DOUBLE,
  "jam" DOUBLE,
  "jor" DOUBLE,
  "jpn" BIGINT,
  "kaz" DOUBLE,
  "ken" DOUBLE,
  "kgz" DOUBLE,
  "khm" DOUBLE,
  "kor" BIGINT,
  "ksv" DOUBLE,
  "kwt" DOUBLE,
  "lao" DOUBLE,
  "lbn" DOUBLE,
  "lbr" DOUBLE,
  "lby" DOUBLE,
  "lka" DOUBLE,
  "ltu" DOUBLE,
  "lux" DOUBLE,
  "lva" DOUBLE,
  "mac" DOUBLE,
  "mar" DOUBLE,
  "mda" DOUBLE,
  "mdg" DOUBLE
);

N 4 Cement Production 1 Cdiac

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_1_cdiac

226.6 KB
92 rows
258 columns


CREATE TABLE n_4_cement_production_1_cdiac (
  "year" BIGINT,
  "afg" DOUBLE,
  "alb" DOUBLE,
  "dza" DOUBLE,
  "and" DOUBLE,
  "ago" DOUBLE,
  "aia" DOUBLE,
  "ata" DOUBLE,
  "atg" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "abw" DOUBLE,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bhs" DOUBLE,
  "bhr" DOUBLE,
  "bgd" DOUBLE,
  "brb" DOUBLE,
  "blr" DOUBLE,
  "bel" DOUBLE,
  "blz" DOUBLE,
  "ben" DOUBLE,
  "bmu" DOUBLE,
  "btn" DOUBLE,
  "bes" DOUBLE,
  "bih" DOUBLE,
  "bwa" DOUBLE,
  "bra" DOUBLE,
  "vgb" DOUBLE,
  "brn" DOUBLE,
  "bgr" DOUBLE,
  "bfa" DOUBLE,
  "bdi" DOUBLE,
  "khm" DOUBLE,
  "can" DOUBLE,
  "cpv" DOUBLE,
  "cym" DOUBLE,
  "caf" DOUBLE,
  "tcd" DOUBLE,
  "chl" DOUBLE,
  "chn" DOUBLE,
  "cxr" DOUBLE,
  "col" DOUBLE,
  "com" DOUBLE,
  "cog" DOUBLE,
  "cok" DOUBLE,
  "cri" DOUBLE,
  "civ" DOUBLE,
  "hrv" DOUBLE,
  "cub" DOUBLE,
  "cuw" DOUBLE,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "csk" DOUBLE,
  "prk" DOUBLE,
  "cod" DOUBLE,
  "vdr" DOUBLE,
  "dnk" DOUBLE,
  "dji" DOUBLE,
  "dma" DOUBLE,
  "dom" DOUBLE,
  "east_west_pakistan" DOUBLE,
  "ecu" DOUBLE,
  "egy" DOUBLE,
  "slv" DOUBLE,
  "gnq" DOUBLE,
  "eri" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fro" DOUBLE,
  "flk" DOUBLE,
  "dew" DOUBLE,
  "fsm" DOUBLE,
  "federation_of_malaya_singapore" DOUBLE,
  "fji" DOUBLE,
  "fin" DOUBLE,
  "ymd" DOUBLE,
  "ddr" DOUBLE,
  "pcz" DOUBLE,
  "yem" DOUBLE,
  "fra" DOUBLE,
  "french_equatorial_africa" DOUBLE,
  "guf" DOUBLE,
  "french_indo_china" DOUBLE,
  "pyf" DOUBLE,
  "french_west_africa" DOUBLE,
  "gab" DOUBLE,
  "gmb" DOUBLE,
  "geo" DOUBLE,
  "deu" DOUBLE,
  "gha" DOUBLE,
  "gib" DOUBLE,
  "grc" DOUBLE,
  "grl" DOUBLE,
  "grd" DOUBLE,
  "glp" DOUBLE,
  "gtm" DOUBLE,
  "gin" DOUBLE,
  "gnb" DOUBLE
);

N 4 Cement Production 2 Cdiacredisaggsoviet

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_2_cdiacredisaggsoviet

240.5 KB
92 rows
258 columns


CREATE TABLE n_4_cement_production_2_cdiacredisaggsoviet (
  "year" BIGINT,
  "afg" DOUBLE,
  "alb" DOUBLE,
  "dza" DOUBLE,
  "and" DOUBLE,
  "ago" DOUBLE,
  "aia" DOUBLE,
  "ata" DOUBLE,
  "atg" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "abw" BIGINT,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bhs" DOUBLE,
  "bhr" DOUBLE,
  "bgd" DOUBLE,
  "brb" DOUBLE,
  "blr" DOUBLE,
  "bel" DOUBLE,
  "blz" DOUBLE,
  "ben" DOUBLE,
  "bmu" DOUBLE,
  "btn" DOUBLE,
  "bes" BIGINT,
  "bih" DOUBLE,
  "bwa" DOUBLE,
  "bra" DOUBLE,
  "vgb" DOUBLE,
  "brn" DOUBLE,
  "bgr" DOUBLE,
  "bfa" DOUBLE,
  "bdi" DOUBLE,
  "khm" DOUBLE,
  "can" DOUBLE,
  "cpv" DOUBLE,
  "cym" DOUBLE,
  "caf" DOUBLE,
  "tcd" DOUBLE,
  "chl" DOUBLE,
  "chn" DOUBLE,
  "cxr" DOUBLE,
  "col" DOUBLE,
  "com" DOUBLE,
  "cog" DOUBLE,
  "cok" DOUBLE,
  "cri" DOUBLE,
  "civ" DOUBLE,
  "hrv" DOUBLE,
  "cub" DOUBLE,
  "cuw" BIGINT,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "csk" VARCHAR,
  "prk" DOUBLE,
  "cod" DOUBLE,
  "vdr" VARCHAR,
  "dnk" DOUBLE,
  "dji" DOUBLE,
  "dma" DOUBLE,
  "dom" DOUBLE,
  "east_west_pakistan" VARCHAR,
  "ecu" DOUBLE,
  "egy" DOUBLE,
  "slv" DOUBLE,
  "gnq" DOUBLE,
  "eri" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fro" DOUBLE,
  "flk" DOUBLE,
  "dew" VARCHAR,
  "fsm" DOUBLE,
  "federation_of_malaya_singapore" VARCHAR,
  "fji" DOUBLE,
  "fin" DOUBLE,
  "ymd" VARCHAR,
  "ddr" VARCHAR,
  "pcz" DOUBLE,
  "former_yemen" VARCHAR,
  "fra" DOUBLE,
  "french_equatorial_africa" DOUBLE,
  "guf" DOUBLE,
  "french_indo_china" VARCHAR,
  "pyf" DOUBLE,
  "french_west_africa" DOUBLE,
  "gab" DOUBLE,
  "gmb" DOUBLE,
  "geo" DOUBLE,
  "deu" DOUBLE,
  "gha" DOUBLE,
  "gib" DOUBLE,
  "grc" DOUBLE,
  "grl" DOUBLE,
  "grd" DOUBLE,
  "glp" DOUBLE,
  "gtm" DOUBLE,
  "gin" DOUBLE,
  "gnb" DOUBLE
);

N 4 Cement Production 3 Overwriteusgs

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_3_overwriteusgs

238.21 KB
94 rows
258 columns


CREATE TABLE n_4_cement_production_3_overwriteusgs (
  "year" BIGINT,
  "afg" DOUBLE,
  "alb" DOUBLE,
  "dza" DOUBLE,
  "and" DOUBLE,
  "ago" DOUBLE,
  "aia" DOUBLE,
  "ata" DOUBLE,
  "atg" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "abw" DOUBLE,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bhs" DOUBLE,
  "bhr" DOUBLE,
  "bgd" DOUBLE,
  "brb" DOUBLE,
  "blr" DOUBLE,
  "bel" DOUBLE,
  "blz" DOUBLE,
  "ben" DOUBLE,
  "bmu" DOUBLE,
  "btn" DOUBLE,
  "bes" DOUBLE,
  "bih" DOUBLE,
  "bwa" DOUBLE,
  "bra" DOUBLE,
  "vgb" DOUBLE,
  "brn" DOUBLE,
  "bgr" DOUBLE,
  "bfa" DOUBLE,
  "bdi" DOUBLE,
  "khm" DOUBLE,
  "can" DOUBLE,
  "cpv" DOUBLE,
  "cym" DOUBLE,
  "caf" DOUBLE,
  "tcd" DOUBLE,
  "chl" DOUBLE,
  "chn" DOUBLE,
  "cxr" DOUBLE,
  "col" DOUBLE,
  "com" DOUBLE,
  "cog" DOUBLE,
  "cok" DOUBLE,
  "cri" DOUBLE,
  "civ" DOUBLE,
  "hrv" DOUBLE,
  "cub" DOUBLE,
  "cuw" DOUBLE,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "csk" DOUBLE,
  "prk" DOUBLE,
  "cod" DOUBLE,
  "vdr" VARCHAR,
  "dnk" DOUBLE,
  "dji" DOUBLE,
  "dma" DOUBLE,
  "dom" DOUBLE,
  "east_west_pakistan" VARCHAR,
  "ecu" DOUBLE,
  "egy" DOUBLE,
  "slv" DOUBLE,
  "gnq" DOUBLE,
  "eri" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fro" DOUBLE,
  "flk" DOUBLE,
  "dew" DOUBLE,
  "fsm" DOUBLE,
  "federation_of_malaya_singapore" VARCHAR,
  "fji" DOUBLE,
  "fin" DOUBLE,
  "ymd" VARCHAR,
  "ddr" DOUBLE,
  "pcz" DOUBLE,
  "former_yemen" VARCHAR,
  "fra" DOUBLE,
  "french_equatorial_africa" DOUBLE,
  "guf" DOUBLE,
  "french_indo_china" VARCHAR,
  "pyf" DOUBLE,
  "french_west_africa" DOUBLE,
  "gab" DOUBLE,
  "gmb" DOUBLE,
  "geo" DOUBLE,
  "deu" DOUBLE,
  "gha" DOUBLE,
  "gib" DOUBLE,
  "grc" DOUBLE,
  "grl" DOUBLE,
  "grd" DOUBLE,
  "glp" DOUBLE,
  "gtm" DOUBLE,
  "gin" DOUBLE,
  "gnb" DOUBLE
);

N 4 Cement Production 4 Extrap

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_4_extrap

237.89 KB
94 rows
258 columns


CREATE TABLE n_4_cement_production_4_extrap (
  "year" BIGINT,
  "afg" DOUBLE,
  "alb" DOUBLE,
  "dza" DOUBLE,
  "and" DOUBLE,
  "ago" DOUBLE,
  "aia" DOUBLE,
  "ata" DOUBLE,
  "atg" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "abw" BIGINT,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bhs" DOUBLE,
  "bhr" DOUBLE,
  "bgd" DOUBLE,
  "brb" DOUBLE,
  "blr" DOUBLE,
  "bel" DOUBLE,
  "blz" DOUBLE,
  "ben" DOUBLE,
  "bmu" DOUBLE,
  "btn" DOUBLE,
  "bes" BIGINT,
  "bih" DOUBLE,
  "bwa" DOUBLE,
  "bra" DOUBLE,
  "vgb" DOUBLE,
  "brn" DOUBLE,
  "bgr" DOUBLE,
  "bfa" DOUBLE,
  "bdi" DOUBLE,
  "khm" DOUBLE,
  "can" DOUBLE,
  "cpv" DOUBLE,
  "cym" DOUBLE,
  "caf" DOUBLE,
  "tcd" DOUBLE,
  "chl" DOUBLE,
  "chn" DOUBLE,
  "cxr" DOUBLE,
  "col" DOUBLE,
  "com" DOUBLE,
  "cog" DOUBLE,
  "cok" DOUBLE,
  "cri" DOUBLE,
  "civ" DOUBLE,
  "hrv" DOUBLE,
  "cub" DOUBLE,
  "cuw" BIGINT,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "csk" DOUBLE,
  "prk" DOUBLE,
  "cod" DOUBLE,
  "vdr" VARCHAR,
  "dnk" DOUBLE,
  "dji" DOUBLE,
  "dma" DOUBLE,
  "dom" DOUBLE,
  "east_west_pakistan" VARCHAR,
  "ecu" DOUBLE,
  "egy" DOUBLE,
  "slv" DOUBLE,
  "gnq" DOUBLE,
  "eri" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fro" DOUBLE,
  "flk" DOUBLE,
  "dew" DOUBLE,
  "fsm" DOUBLE,
  "federation_of_malaya_singapore" VARCHAR,
  "fji" DOUBLE,
  "fin" DOUBLE,
  "ymd" VARCHAR,
  "ddr" DOUBLE,
  "pcz" DOUBLE,
  "former_yemen" VARCHAR,
  "fra" DOUBLE,
  "french_equatorial_africa" DOUBLE,
  "guf" DOUBLE,
  "french_indo_china" VARCHAR,
  "pyf" DOUBLE,
  "french_west_africa" DOUBLE,
  "gab" DOUBLE,
  "gmb" DOUBLE,
  "geo" DOUBLE,
  "deu" DOUBLE,
  "gha" DOUBLE,
  "gib" DOUBLE,
  "grc" DOUBLE,
  "grl" DOUBLE,
  "grd" DOUBLE,
  "glp" DOUBLE,
  "gtm" DOUBLE,
  "gin" DOUBLE,
  "gnb" DOUBLE
);

N 4 Cement Production 5 Overwrite

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_5_overwrite

240.52 KB
142 rows
258 columns


CREATE TABLE n_4_cement_production_5_overwrite (
  "year" BIGINT,
  "afg" DOUBLE,
  "alb" DOUBLE,
  "dza" DOUBLE,
  "and" DOUBLE,
  "ago" DOUBLE,
  "aia" DOUBLE,
  "ata" DOUBLE,
  "atg" DOUBLE,
  "arg" DOUBLE,
  "arm" DOUBLE,
  "abw" DOUBLE,
  "aus" DOUBLE,
  "aut" DOUBLE,
  "aze" DOUBLE,
  "bhs" DOUBLE,
  "bhr" DOUBLE,
  "bgd" DOUBLE,
  "brb" DOUBLE,
  "blr" DOUBLE,
  "bel" DOUBLE,
  "blz" DOUBLE,
  "ben" DOUBLE,
  "bmu" DOUBLE,
  "btn" DOUBLE,
  "bes" DOUBLE,
  "bih" DOUBLE,
  "bwa" DOUBLE,
  "bra" DOUBLE,
  "vgb" DOUBLE,
  "brn" DOUBLE,
  "bgr" DOUBLE,
  "bfa" DOUBLE,
  "bdi" DOUBLE,
  "khm" DOUBLE,
  "can" DOUBLE,
  "cpv" DOUBLE,
  "cym" DOUBLE,
  "caf" DOUBLE,
  "tcd" DOUBLE,
  "chl" DOUBLE,
  "chn" DOUBLE,
  "cxr" DOUBLE,
  "col" DOUBLE,
  "com" DOUBLE,
  "cog" DOUBLE,
  "cok" DOUBLE,
  "cri" DOUBLE,
  "civ" DOUBLE,
  "hrv" DOUBLE,
  "cub" DOUBLE,
  "cuw" DOUBLE,
  "cyp" DOUBLE,
  "cze" DOUBLE,
  "csk" DOUBLE,
  "prk" DOUBLE,
  "cod" DOUBLE,
  "vdr" VARCHAR,
  "dnk" DOUBLE,
  "dji" DOUBLE,
  "dma" DOUBLE,
  "dom" DOUBLE,
  "east_west_pakistan" VARCHAR,
  "ecu" DOUBLE,
  "egy" DOUBLE,
  "slv" DOUBLE,
  "gnq" DOUBLE,
  "eri" DOUBLE,
  "est" DOUBLE,
  "eth" DOUBLE,
  "fro" DOUBLE,
  "flk" DOUBLE,
  "dew" DOUBLE,
  "fsm" DOUBLE,
  "federation_of_malaya_singapore" VARCHAR,
  "fji" DOUBLE,
  "fin" DOUBLE,
  "ymd" VARCHAR,
  "ddr" DOUBLE,
  "pcz" DOUBLE,
  "former_yemen" VARCHAR,
  "fra" DOUBLE,
  "french_equatorial_africa" DOUBLE,
  "guf" DOUBLE,
  "french_indo_china" VARCHAR,
  "pyf" DOUBLE,
  "french_west_africa" DOUBLE,
  "gab" DOUBLE,
  "gmb" DOUBLE,
  "geo" DOUBLE,
  "deu" DOUBLE,
  "gha" DOUBLE,
  "gib" DOUBLE,
  "grc" DOUBLE,
  "grl" DOUBLE,
  "grd" DOUBLE,
  "glp" DOUBLE,
  "gtm" DOUBLE,
  "gin" DOUBLE,
  "gnb" DOUBLE
);

N 4 Cement Production 5 Sources

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_4_cement_production_5_sources

165.84 KB
272 rows
258 columns


CREATE TABLE n_4_cement_production_5_sources (
  "year" BIGINT,
  "afg" VARCHAR,
  "alb" VARCHAR,
  "dza" VARCHAR,
  "and" VARCHAR,
  "ago" VARCHAR,
  "aia" VARCHAR,
  "ata" VARCHAR,
  "atg" VARCHAR,
  "arg" VARCHAR,
  "arm" VARCHAR,
  "abw" VARCHAR,
  "aus" VARCHAR,
  "aut" VARCHAR,
  "aze" VARCHAR,
  "bhs" VARCHAR,
  "bhr" VARCHAR,
  "bgd" VARCHAR,
  "brb" VARCHAR,
  "blr" VARCHAR,
  "bel" VARCHAR,
  "blz" VARCHAR,
  "ben" VARCHAR,
  "bmu" VARCHAR,
  "btn" VARCHAR,
  "bes" VARCHAR,
  "bih" VARCHAR,
  "bwa" VARCHAR,
  "bra" VARCHAR,
  "vgb" VARCHAR,
  "brn" VARCHAR,
  "bgr" VARCHAR,
  "bfa" VARCHAR,
  "bdi" VARCHAR,
  "khm" VARCHAR,
  "can" VARCHAR,
  "cpv" VARCHAR,
  "cym" VARCHAR,
  "caf" VARCHAR,
  "tcd" VARCHAR,
  "chl" VARCHAR,
  "chn" VARCHAR,
  "cxr" VARCHAR,
  "col" VARCHAR,
  "com" VARCHAR,
  "cog" VARCHAR,
  "cok" VARCHAR,
  "cri" VARCHAR,
  "civ" VARCHAR,
  "hrv" VARCHAR,
  "cub" VARCHAR,
  "cuw" VARCHAR,
  "cyp" VARCHAR,
  "cze" VARCHAR,
  "csk" VARCHAR,
  "prk" VARCHAR,
  "cod" VARCHAR,
  "vdr" VARCHAR,
  "dnk" VARCHAR,
  "dji" VARCHAR,
  "dma" VARCHAR,
  "dom" VARCHAR,
  "nan" VARCHAR,
  "ecu" VARCHAR,
  "egy" VARCHAR,
  "slv" VARCHAR,
  "gnq" VARCHAR,
  "eri" VARCHAR,
  "est" VARCHAR,
  "eth" VARCHAR,
  "fro" VARCHAR,
  "flk" VARCHAR,
  "dew" VARCHAR,
  "fsm" VARCHAR,
  "nan_1" VARCHAR,
  "fji" VARCHAR,
  "fin" VARCHAR,
  "ymd" VARCHAR,
  "ddr" VARCHAR,
  "pcz" VARCHAR,
  "yem" VARCHAR,
  "fra" VARCHAR,
  "nan_2" VARCHAR,
  "guf" VARCHAR,
  "nan_3" VARCHAR,
  "pyf" VARCHAR,
  "nan_4" VARCHAR,
  "gab" VARCHAR,
  "gmb" VARCHAR,
  "geo" VARCHAR,
  "deu" VARCHAR,
  "gha" VARCHAR,
  "gib" VARCHAR,
  "grc" VARCHAR,
  "grl" VARCHAR,
  "grd" VARCHAR,
  "glp" VARCHAR,
  "gtm" VARCHAR,
  "gin" VARCHAR,
  "gnb" VARCHAR
);

N 6 Cement Production Method

@kaggle.thedevastator_global_cement_production_and_emissions_analysis.n_6_cement_production_method

10.36 KB
257 rows
9 columns


CREATE TABLE n_6_cement_production_method (
  "country" VARCHAR,
  "cdiac" DOUBLE,
  "soviet_disaggregation" DOUBLE,
  "corrections_to_cdiac" DOUBLE,
  "usgs" DOUBLE,
  "extrapolation" DOUBLE,
  "country_specific" DOUBLE,
  "combined_data_sheet" DOUBLE,
  "zero" DOUBLE
);