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Tea FAO Dataset

Tea crops production quantity from FAO platform

@kaggle.michals22_tea_fao_dataset

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About this Dataset

Tea FAO Dataset

Data set from the FAO website. The two csv files contain information on crop production volumes for primary crops (unprocessed = raw) and processed crops (fit for consumption).
All values are given in tonnes.

Tables

Tea Crops Primary Production Quantity

@kaggle.michals22_tea_fao_dataset.tea_crops_primary_production_quantity
  • 32.36 KB
  • 51 rows
  • 33 columns
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CREATE TABLE tea_crops_primary_production_quantity (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE
);

Tea Crops Processed Production Quantity

@kaggle.michals22_tea_fao_dataset.tea_crops_processed_production_quantity
  • 10.07 KB
  • 22 rows
  • 12 columns
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CREATE TABLE tea_crops_processed_production_quantity (
  "country" VARCHAR,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE
);

Tea Export

@kaggle.michals22_tea_fao_dataset.tea_export
  • 49.21 KB
  • 200 rows
  • 33 columns
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CREATE TABLE tea_export (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE
);

Tea Export Value

@kaggle.michals22_tea_fao_dataset.tea_export_value
  • 51.25 KB
  • 200 rows
  • 32 columns
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CREATE TABLE tea_export_value (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE
);

Tea Import

@kaggle.michals22_tea_fao_dataset.tea_import
  • 58.84 KB
  • 202 rows
  • 33 columns
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CREATE TABLE tea_import (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE
);

Tea Import Value

@kaggle.michals22_tea_fao_dataset.tea_import_value
  • 64.25 KB
  • 202 rows
  • 33 columns
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CREATE TABLE tea_import_value (
  "country" VARCHAR,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE
);

Tea Producer Price Annual

@kaggle.michals22_tea_fao_dataset.tea_producer_price_annual
  • 23.65 KB
  • 28 rows
  • 31 columns
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CREATE TABLE tea_producer_price_annual (
  "country" VARCHAR,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE
);

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