Datasets:

0xnirmal
/

world-alcohol-consumption

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train · 12.5k rows

Gender stringclasses 2 values	Count int64 1 1k	Countries stringclasses 207 values	Countries Code stringclasses 206 values	Date stringclasses 662 values
Female	701	China	CN	6/18/2019
Male	702	Indonesia	ID	08-12-19
Female	703	Brazil	BR	05-06-19
Female	704	Russia	RU	4/18/2019
Female	705	Indonesia	ID	6/26/2019
Female	706	Canada	CA	4/26/2019
Female	707	Mexico	MX	7/26/2019
Male	708	Indonesia	ID	10-11-19
Female	709	Malta	MT	04-06-19
Male	710	Pakistan	PK	04-10-19
Male	711	South Korea	KR	6/22/2019
Female	712	Sweden	SE	6/29/2019
Female	713	Brazil	BR	9/28/2019
Male	714	Luxembourg	LU	9/30/2019
Female	715	Brazil	BR	2/14/2019
Male	716	Mexico	MX	2/25/2019
Female	717	Madagascar	MG	03-11-19
Male	718	Indonesia	ID	8/13/2019
Female	719	Poland	PL	02-05-19
Female	720	Madagascar	MG	7/16/2019
Female	721	China	CN	7/19/2019
Male	722	China	CN	5/17/2019
Male	723	Peru	PE	04-01-19
Female	724	Thailand	TH	9/17/2019
Female	725	Portugal	PT	1/31/2019
Male	726	United States	US	2/21/2019
Male	727	Indonesia	ID	08-08-19
Female	728	Slovenia	SI	06-03-19
Female	729	Russia	RU	06-06-19
Male	730	Poland	PL	09-01-19
Female	731	Portugal	PT	5/25/2019
Female	732	Brazil	BR	1/20/2019
Male	733	China	CN	5/23/2019
Male	734	Haiti	HT	02-04-19
Female	735	Ethiopia	ET	9/13/2019
Female	736	Kyrgyzstan	KG	06-04-19
Male	737	Indonesia	ID	10/31/2019
Female	738	China	CN	5/26/2019
Female	739	Portugal	PT	02-01-19
Female	740	China	CN	07-07-19
Female	741	China	CN	09-06-19
Male	742	Sweden	SE	5/27/2019
Female	743	Philippines	PH	8/29/2019
Female	744	Armenia	AM	03-09-19
Female	745	Brazil	BR	11/23/2019
Female	746	Brazil	BR	7/26/2019
Male	747	Peru	PE	08-01-19
Female	748	Estonia	EE	10-11-19
Male	749	Guinea	GN	02-09-19
Male	750	Vietnam	VN	07-02-19
Female	751	Austria	AT	05-03-19
Female	752	Malaysia	MY	02-10-19
Male	753	China	CN	10-10-19
Male	754	Panama	PA	5/17/2019
Male	755	New Caledonia	NC	3/30/2019
Female	756	Russia	RU	05-07-19
Male	757	Poland	PL	3/13/2019
Male	758	Philippines	PH	02-10-19
Male	759	Democratic Republic of the Congo	CD	6/21/2019
Male	760	Philippines	PH	08-07-19
Female	761	China	CN	8/31/2019
Male	762	Thailand	TH	2/25/2019
Male	763	Tunisia	TN	1/26/2019
Female	764	China	CN	2/23/2019
Male	765	Ethiopia	ET	9/25/2019
Female	766	Sweden	SE	4/17/2019
Female	767	China	CN	11-09-19
Female	768	Argentina	AR	3/30/2019
Female	769	Argentina	AR	6/26/2019
Male	770	Sweden	SE	6/25/2019
Male	771	Philippines	PH	07-09-19
Female	772	China	CN	10/29/2019
Male	773	Czech Republic	CZ	2/21/2019
Female	774	China	CN	10-12-19
Male	775	Norway	NO	9/29/2019
Female	776	Brazil	BR	2/24/2019
Male	777	Kenya	KE	6/23/2019
Female	778	Albania	AL	07-10-19
Female	779	Monaco	MC	10-10-19
Female	780	Brazil	BR	1/24/2019
Male	781	United States	US	6/22/2019
Male	782	Australia	AU	11-11-19
Male	783	Philippines	PH	08-08-19
Male	784	Luxembourg	LU	5/17/2019
Female	785	Peru	PE	2/14/2019
Male	786	South Korea	KR	7/20/2019
Female	787	Vietnam	VN	2/26/2019
Male	788	Sweden	SE	8/28/2019
Male	789	Sweden	SE	02-04-19
Female	790	Poland	PL	9/29/2019
Female	791	Bhutan	BT	1/17/2019
Male	792	Mongolia	MN	10-12-19
Female	793	Russia	RU	11/25/2019
Female	794	Russia	RU	8/19/2019
Female	795	France	FR	10/14/2019
Female	796	Serbia	RS	2/19/2019
Male	797	Japan	JP	5/21/2019
Female	798	China	CN	7/26/2019
Male	799	Indonesia	ID	11-05-19
Male	800	Estonia	EE	06-03-19