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
W1	35397.16	35808.59	35808.59	36246.14	36246.14	36403.7	36403.7	36150.2	36150.2	35790.55	35790.55	34066.95	34066.95
W2	3608.061	3624.368	3537.64	3587.344	3662.088	3658.634	3622.148	3591.48	3638.559	3635.781	3522.328	3458.631	3354.758
W3	9602.4	9895.9	9915.9	9726.6	9626.5	9966.1	10008.5	9911.7	9760.7	9968.2	10089.1	10005.9	9823.3
W4	2336.56	2373.14	2457.51	2586	2237.7	2877.94	2497.74	3525.34	3053.33	3151.07	3425.79	3505.61	4098.69
W5	1499	1734	1391	1833	1637	2122	1757	2079	2477	1957	1907	1752	1330
W6	502	568	528	632	606	785	779	834	906	1372	1080	938	752
W7	3117	2579	3199	1716	4558	3001	3263	3110	5899	7148	4048	2707	2579
W8	3430	2870	4620	4890	7470	6960	6430	3970	3650	5730	4500	2870	3270
W9	8100	7481	8953	8087	9724	8993	10011	9705	8397	7560	8669	7574	7106
W10	5122.14	5104.68	5104.68	5104.68	5565.7	5565.7	5565.7	5565.7	5565.7	5544.94	5544.94	5544.94	5544.94


CREATE TABLE weekly_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
);