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
D1	2039.2	2035	2051.8	2061.8	2063.5	2069.5	2054	2057	2062.8	2066.4	2067.4	2071.4	2083.8	2080.6
D2	2986	3001.2	2975.9	2996.1	2981.9	2985.5	2975.8	2956.2	2964.7	2989	2991.4	3024.9	3070.8	3076.9
D3	1120.7	1117.9	1115.1	1112.3	1109.5	1106.7	1103.9	1101.1	1098.3	1095.5	1092.7	1089.9	1087.1	1084.3
D4	1190	1162	1134	1106	1078	1050	1022	994	966	938	910	1428	1400	1372
D5	5904.67	5917.05	5922.58	5928.8	5935.29	6002.8	6009.47	6014.82	6020.19	6072.49	6077.72	6080.23	6082.75	6108.07
D6	3182.0525	3147.0985	3143.8503	3128.2005	3229.8279	3263.2599	3303.5956	3314.0879	3335.8389	3314.8839	3403.4529	3424.7502	3280.184	3338.7257
D7	5860.008	7773.246	9477.872	8209.099	7421.236	6677.597	8235.998	7850.555	7280.313	6888.883	3432.246	4800.447	4021.873	3483.457
D8	1732.2	1731.83	1739.17	1741.8	1738.5	1748.94	1746.31	1754.05	1750.33	1735.54	1739.46	1734.69	1732.07	1730.44
D9	1584.41	1584.06	1590.77	1592.65	1589.63	1598.93	1596.45	1603.53	1600.12	1586.6	1590.19	1585.83	1583.43	1581.94
D10	2618	2638.6	2648.7	2656.2	2636.2	2644.2	2672.3	2688.8	2675.3	2672.3	2623.6	2626.8	2641.7	2589.8


CREATE TABLE daily_test (
  "v1" VARCHAR,
  "v2" DOUBLE,
  "v3" DOUBLE,
  "v4" DOUBLE,
  "v5" DOUBLE,
  "v6" DOUBLE,
  "v7" DOUBLE,
  "v8" DOUBLE,
  "v9" DOUBLE,
  "v10" DOUBLE,
  "v11" DOUBLE,
  "v12" DOUBLE,
  "v13" DOUBLE,
  "v14" DOUBLE,
  "v15" DOUBLE
);