Baselight

Coffee Dataset

Coffee economic indicatores from the International Coffee Organization dataset

@kaggle.michals22_coffee_dataset

Coffee Production
@kaggle.michals22_coffee_dataset.coffee_production

  • 34.02 KB
  • 55 rows
  • 33 columns
country

Country

coffee_type

Coffee Type

n_1990_91

1990/91

n_1991_92

1991/92

n_1992_93

1992/93

n_1993_94

1993/94

n_1994_95

1994/95

n_1995_96

1995/96

n_1996_97

1996/97

n_1997_98

1997/98

n_1998_99

1998/99

n_1999_00

1999/00

n_2000_01

2000/01

n_2001_02

2001/02

n_2002_03

2002/03

n_2003_04

2003/04

n_2004_05

2004/05

n_2005_06

2005/06

n_2006_07

2006/07

n_2007_08

2007/08

n_2008_09

2008/09

n_2009_10

2009/10

n_2010_11

2010/11

n_2011_12

2011/12

n_2012_13

2012/13

n_2013_14

2013/14

n_2014_15

2014/15

n_2015_16

2015/16

n_2016_17

2016/17

n_2017_18

2017/18

n_2018_19

2018/19

n_2019_20

2019/20

total_production

Total Production

AngolaRobusta/Arabica300000047400004680000198000046200003720000426000038400005100000330000030000001260000342000022800009000001500000210000021600002280000780000210000017400001980000210000023400002460000270000021000002520000312000082080000
Bolivia (Plurinational State of)Arabica738000062400007200000306000070200008520000750000084600008280000948000088800005640000762000061800009300000660000087600006960000720000076800007020000792000063000007200000600000050400004680000504000049800004860000207000000
BrazilArabica/Robusta16371600001637580000207618000016900200001691520000108360000017518200001568880000220566000028546800001878600000188190000029011200001732380000235686000019759800002905920000233466000030894600002638620000332568000029155200003325080000328134000031983000003172260000340728000031644000003907860000349266000075082980000
BurundiArabica/Robusta2922000040020000372000002358000039840000260400002406000015000000295200002106000029220000864000027240000202800002622000061800002988000079800002472000067200002118000012240000243600009780000148800001614000011760000121200001224000016320000623640000
EcuadorArabica/Robusta902400001274400007110000012414000014256000011328000011958000071460000723600007188000051240000475800003492000038460000468000005610000062100000570000004626000048780000512400004950000049680000399600003864000038640000387000003744000029760000335400001900380000
IndonesiaRobusta/Arabica44646000050958000033414000040458000032208000027438000049326000045726000043776000039342000041922000040998000040386000038424000045216000054954000044898000046662000057672000068280000054774000041334000078420000077406000065676000075510000069246000065112000057708000068598000015404880000
MadagascarRobusta589200005598000067320000265200003846000047100000509400003744000059520000256200002172000088200002670000026100000313200003594000035220000368400004368000027420000318000003510000030000000350400003006000024840000271800002424000022740000229800001045560000
MalawiArabica63000007440000822000037200005040000546000029400003660000384000035400003780000360000025200002880000126000014400001020000114000012600001020000102000015600001380000168000015000001260000120000084000078000096000082260000
Papua New GuineaArabica/Robusta5778000044820000540000006114000068340000601200006534000064440000811200008322000062460000637800006510000069300000598800007608000048420000580800006168000062280000520200008484000042960000501000004788000042720000702600004404000055800000451200001803120000
ParaguayArabica78600004800000324000040200001500000156000018600002940000192000011400001320000132000021600002820000228000026400002100000234000012000001200000120000012000001200000120000012000001200000120000012000001200000120000062220000

CREATE TABLE coffee_production (
  "country" VARCHAR,
  "coffee_type" VARCHAR,
  "n_1990_91" DOUBLE,
  "n_1991_92" DOUBLE,
  "n_1992_93" DOUBLE,
  "n_1993_94" DOUBLE,
  "n_1994_95" DOUBLE,
  "n_1995_96" DOUBLE,
  "n_1996_97" DOUBLE,
  "n_1997_98" DOUBLE,
  "n_1998_99" DOUBLE,
  "n_1999_00" DOUBLE,
  "n_2000_01" DOUBLE,
  "n_2001_02" DOUBLE,
  "n_2002_03" DOUBLE,
  "n_2003_04" DOUBLE,
  "n_2004_05" DOUBLE,
  "n_2005_06" DOUBLE,
  "n_2006_07" DOUBLE,
  "n_2007_08" DOUBLE,
  "n_2008_09" DOUBLE,
  "n_2009_10" DOUBLE,
  "n_2010_11" DOUBLE,
  "n_2011_12" DOUBLE,
  "n_2012_13" DOUBLE,
  "n_2013_14" DOUBLE,
  "n_2014_15" DOUBLE,
  "n_2015_16" DOUBLE,
  "n_2016_17" DOUBLE,
  "n_2017_18" DOUBLE,
  "n_2018_19" DOUBLE,
  "n_2019_20" DOUBLE,
  "total_production" DOUBLE
);

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