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
M1	8720	7790	4770	5060	4720	4450	5120	5960	6560	4900	4520	7370	9050	7780	5380	4700	4490	4010
M2	2090	2180	1760	2290	1500	1370	1810	1450	1370	1380	1710	2140	1870	1670	1800	1800	1790	1600
M3	13314	13659	13839	13693	13701	13881	13862	13774	13677	13944	14023	13793	13752	13818	13901	14057	14037	14158
M4	6505	6559	6526	6499	6495	6450	6458	6434	6445	6382	6390	6390	6353	6337	6280	6284	6397	6433
M5	4390	4470	4350	4420	4480	4440	4340	4280	4210	4280	4350	4290	4320	4370	4390	4480	4390	4380
M6	11500	11300	11200	11000	10900	10900	10700	10400	10200	10100	10100	10200	10100	10000	10000	10100	10000	10100
M7	1138	1143	1092	1100	1092	1067	1009	966	930	929	942	930	941	947	949	973	956	944
M8	1410	1436	1371	1373	1394	1349	1290	1228	1194	1192	1217	1187	1197	1196	1211	1257	1223	1226
M9	5380	5480	5330	5350	5170	5110	4940	4990	4910	4660	4860	5070	5140	5130	5080	5100	5050	4860
M10	6560	6490	6390	6340	6210	6070	5890	5720	5630	5530	5370	5330	5260	5310	5280	5350	5450	5450


CREATE TABLE monthly_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,
  "v16" DOUBLE,
  "v17" DOUBLE,
  "v18" DOUBLE,
  "v19" DOUBLE
);