M4 Forecasting Competition Dataset

v1 V1	v2 V2	v3 V3	v4 V4	v5 V5	v6 V6	v7 V7	v8 V8	v9 V9	v10 V10	v11 V11	v12 V12	v13 V13	v14 V14	v15 V15	v16 V16	v17 V17	v18 V18	v19 V19	v20 V20	v21 V21	v22 V22	v23 V23	v24 V24	v25 V25	v26 V26	v27 V27	v28 V28	v29 V29	v30 V30	v31 V31	v32 V32	v33 V33	v34 V34	v35 V35	v36 V36	v37 V37	v38 V38	v39 V39	v40 V40	v41 V41	v42 V42	v43 V43	v44 V44	v45 V45	v46 V46	v47 V47	v48 V48	v49 V49
H1	619	565	532	495	481	467	473	488	501	534	576	639	712	772	830	880	893	896	891	854	803	769	751	701	635	572	532	493	477	468	464	477	492	519	568	624	696	761	812	836	838	829	807	785	756	719	703	659
H2	2771	2396	2189	1984	1872	1843	1828	1872	1952	2069	2228	2419	2640	2850	3001	3129	3244	3295	3322	3322	3286	3092	2936	2825	2519	2197	1997	1775	1725	1630	1644	1722	1808	1961	2154	2355	2605	2821	3018	3206	3356	3499	3550	3558	3488	3224	3054	2918
H3	1455	1376	1235	1101	1003	943	905	886	910	970	1071	1170	1225	1306	1373	1442	1542	1611	1673	1711	1754	1757	1735	1667	1585	1473	1317	1177	1060	1000	951	917	924	979	1073	1195	1281	1371	1457	1529	1627	1701	1754	1791	1819	1791	1758	1679
H4	5327	5051	4683	4319	4049	3847	3712	3639	3652	3758	3857	4082	4363	4631	4915	5201	5442	5738	5993	6195	6290	6284	6126	5968	5818	5516	5074	4658	4337	4106	3922	3804	3794	3853	3993	4284	4575	4925	5337	5675	5926	6159	6313	6072	5612	5220	4895	4793
H5	3823	3501	3039	2613	2312	2079	1938	1839	1821	1877	1951	2062	2182	2353	2562	2826	3100	3431	3689	3900	4049	4056	3931	3682	3471	3200	2810	2461	2199	2004	1873	1791	1788	1853	1926	1996	2067	2174	2345	2529	2737	3028	3292	3453	3574	3522	3338	3041
H6	5110	5286	5591	5872	6182	6449	6632	6917	7142	7326	7490	7621	7661	7682	7560	7363	7143	6966	6597	6089	5654	5374	5175	5049	5014	5047	5144	5459	5776	6126	6342	6332	6755	6894	7037	7181	7264	7284	7199	7012	6787	6621	6158	5758	5364	5101	4951	4842
H7	49671	48177	45276	40964	37108	34361	32397	31065	30340	30674	31925	33551	35688	37917	40002	42428	44737	47109	49713	51339	52088	52421	51531	49597	48004	47247	44654	40656	37097	34385	32478	31162	30533	30885	31939	33364	35473	37846	40047	42134	44129	46065	48078	49651	50679	50781	49872	48087
H8	29365	27033	25334	24182	23330	23086	23792	24894	26362	28370	30947	33858	36652	38729	40299	41048	41314	41487	41199	40591	39223	38022	36772	33993	30962	28505	26645	25264	24343	23914	24219	25181	26130	27610	29457	31426	33042	34465	36019	37327	38313	38898	38756	37502	35671	34136	32766	30273
H9	35504	32655	30531	28932	27767	26980	26832	27493	28510	29711	31544	33551	35573	37307	38852	39955	40513	41166	41364	40945	40088	38889	37500	36464	34334	31711	29641	28115	27103	26439	26166	26826	27788	29081	30825	32726	34632	36365	37940	39511	40598	41287	41388	40656	39444	37919	36418	35321
H10	464	452	439	418	402	399	396	390	395	399	407	411	428	439	450	457	456	456	485	490	498	495	496	487	478	468	448	432	417	406	399	396	393	404	408	424	430	435	457	466	478	477	489	494	502	503	502	493


CREATE TABLE hourly_test (
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  "v3" DOUBLE,
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  "v8" DOUBLE,
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  "v11" DOUBLE,
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  "v15" DOUBLE,
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  "v17" DOUBLE,
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  "v19" DOUBLE,
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  "v24" DOUBLE,
  "v25" DOUBLE,
  "v26" DOUBLE,
  "v27" DOUBLE,
  "v28" DOUBLE,
  "v29" DOUBLE,
  "v30" DOUBLE,
  "v31" DOUBLE,
  "v32" DOUBLE,
  "v33" DOUBLE,
  "v34" DOUBLE,
  "v35" DOUBLE,
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  "v37" DOUBLE,
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  "v39" DOUBLE,
  "v40" DOUBLE,
  "v41" DOUBLE,
  "v42" DOUBLE,
  "v43" DOUBLE,
  "v44" DOUBLE,
  "v45" DOUBLE,
  "v46" DOUBLE,
  "v47" DOUBLE,
  "v48" DOUBLE,
  "v49" DOUBLE
);