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	901	Poland	PL	09-12-19
Female	902	France	FR	2/21/2019
Female	903	Japan	JP	11/23/2019
Male	904	Slovenia	SI	3/31/2019
Male	905	Ireland	IE	1/30/2019
Male	906	China	CN	07-10-19
Male	907	Sweden	SE	05-04-19
Male	908	Syria	SY	07-07-19
Female	909	China	CN	6/20/2019
Female	910	Philippines	PH	10-12-19
Female	911	Botswana	BW	11/19/2019
Female	912	United States	US	03-07-19
Male	913	Philippines	PH	7/25/2019
Male	914	Poland	PL	7/15/2019
Male	915	Ireland	IE	11/17/2019
Male	916	Dominica	DM	03-12-19
Female	917	Indonesia	ID	3/18/2019
Male	918	China	CN	07-12-19
Male	919	Brazil	BR	9/27/2019
Male	920	Canada	CA	07-08-19
Male	921	Indonesia	ID	09-02-19
Female	922	United States	US	04-06-19
Male	923	Finland	FI	11/25/2019
Female	924	Democratic Republic of the Congo	CD	09-05-19
Male	925	China	CN	08-03-19
Female	926	Russia	RU	04-06-19
Female	927	China	CN	11/21/2019
Male	928	Thailand	TH	6/29/2019
Female	929	France	FR	09-08-19
Male	930	Madagascar	MG	8/29/2019
Male	931	Norway	NO	06-04-19
Female	932	Iraq	IQ	09-06-19
Male	933	Peru	PE	02-07-19
Male	934	China	CN	5/19/2019
Male	935	Portugal	PT	5/23/2019
Male	936	Portugal	PT	03-09-19
Male	937	Brazil	BR	09-04-19
Male	938	Russia	RU	09-01-19
Male	939	France	FR	10-04-19
Male	940	Cameroon	CM	5/31/2019
Female	941	China	CN	4/26/2019
Female	942	South Korea	KR	09-05-19
Female	943	China	CN	5/26/2019
Female	944	Brazil	BR	11/15/2019
Male	945	Pakistan	PK	8/29/2019
Male	946	Indonesia	ID	9/26/2019
Female	947	Mauritius	MU	05-08-19
Female	948	United States	US	6/22/2019
Male	949	Vietnam	VN	7/18/2019
Female	950	Nigeria	NG	09-09-19
Female	951	Peru	PE	03-10-19
Male	952	South Africa	ZA	09-08-19
Male	953	Venezuela	VE	1/29/2019
Male	954	Sweden	SE	1/18/2019
Male	955	Philippines	PH	07-04-19
Male	956	Kyrgyzstan	KG	06-02-19
Female	957	Mexico	MX	10-05-19
Male	958	Greece	GR	8/21/2019
Female	959	Philippines	PH	06-02-19
Female	960	Russia	RU	6/17/2019
Female	961	Indonesia	ID	9/14/2019
Male	962	Malaysia	MY	06-04-19
Male	963	Paraguay	PY	8/24/2019
Male	964	Egypt	EG	9/24/2019
Female	965	United States	US	7/25/2019
Female	966	Azerbaijan	AZ	05-06-19
Male	967	Sweden	SE	10/26/2019
Male	968	Indonesia	ID	11-04-19
Female	969	Czech Republic	CZ	05-02-19
Male	970	Peru	PE	03-09-19
Male	971	Portugal	PT	09-12-19
Female	972	Thailand	TH	11/25/2019
Male	973	Gambia	GM	05-11-19
Female	974	Sweden	SE	4/19/2019
Male	975	Canada	CA	02-05-19
Male	976	Portugal	PT	7/15/2019
Male	977	France	FR	10/21/2019
Female	978	Poland	PL	06-07-19
Female	979	Czech Republic	CZ	11/16/2019
Male	980	China	CN	04-10-19
Male	981	Saudi Arabia	SA	2/19/2019
Female	982	China	CN	3/25/2019
Male	983	Philippines	PH	3/15/2019
Female	984	Japan	JP	4/13/2019
Male	985	United States	US	06-07-19
Male	986	Indonesia	ID	03-08-19
Female	987	Peru	PE	8/29/2019
Male	988	Canada	CA	1/23/2019
Male	989	Russia	RU	04-06-19
Male	990	Poland	PL	4/13/2019
Male	991	Russia	RU	7/15/2019
Male	992	Uruguay	UY	9/17/2019
Male	993	Finland	FI	10-01-19
Female	994	Indonesia	ID	5/20/2019
Male	995	Kenya	KE	4/19/2019
Male	996	Russia	RU	11-09-19
Male	997	China	CN	3/20/2019
Male	998	China	CN	4/21/2019
Female	999	Philippines	PH	3/20/2019
Female	1,000	Sweden	SE	11/16/2019