# Python libs
import warnings
import joblib
from pathlib import Path
from itertools import product
from math import ceil
import random
import numpy as np
import pandas as pd
# Visualization
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import lightgbm as lgb
# Module settings
mpl.rc("figure", facecolor="white", dpi=196)
pd.set_option('display.max_columns', None) # show all columns
DATA_INPUT_DIR = 'data_input/'
DATA_PROCESSED_DIR = 'data_processed/'
RESULTS_DIR = 'results/'
SALES_CSV = DATA_INPUT_DIR + 'sales_train_evaluation.csv'
PRICES_CSV = DATA_INPUT_DIR + 'sell_prices.csv'
CALENDAR_CSV = DATA_INPUT_DIR + 'calendar.csv'
SAMPLE_SUBMISSION_CSV = DATA_INPUT_DIR + 'sample_submission.csv'
SALES_DATA_FILE = DATA_PROCESSED_DIR + 'sales.pkl'
PRICES_DATA_FILE = DATA_PROCESSED_DIR + 'prices.pkl'
CALENDAR_DATA_FILE = DATA_PROCESSED_DIR + 'calendar.pkl'
SALES_PRICES_CALENDAR_DATA_FILE = DATA_PROCESSED_DIR + 'sales_prices_calendar.pkl'
SALES_LAG_ROLL_STATS_FILE = DATA_PROCESSED_DIR + 'sales_lag_roll_stats.pkl'
SALES_AGG_STATS_FILE = DATA_PROCESSED_DIR + 'sales_agg_stats.pkl'
SUBMISSION_FILE = RESULTS_DIR + 'submission.csv'
# Globals / Class attributes
FLAT_INDEX_COLS = ['id', 'd']
TARGET_COL = 'sales'
ID_D_TARGET_COLS = ['id', 'd', TARGET_COL]
END_TRAIN = 1941
SHIFT_DAY = 28
def reduce_mem_usage(df, verbose=True):
numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']
start_mem = df.memory_usage().sum() / 1024**2
for col in df.columns:
col_type = df[col].dtypes
if col_type in numerics:
c_min = df[col].min()
c_max = df[col].max()
if str(col_type)[:3] == 'int':
if c_min > np.iinfo(np.int8).min and c_max < np.iinfo(np.int8).max:
df[col] = df[col].astype(np.int8)
elif c_min > np.iinfo(np.int16).min and c_max < np.iinfo(np.int16).max:
df[col] = df[col].astype(np.int16)
elif c_min > np.iinfo(np.int32).min and c_max < np.iinfo(np.int32).max:
df[col] = df[col].astype(np.int32)
elif c_min > np.iinfo(np.int64).min and c_max < np.iinfo(np.int64).max:
df[col] = df[col].astype(np.int64)
else:
if c_min > np.finfo(np.float16).min and c_max < np.finfo(np.float16).max:
df[col] =-inspection df[col].astype(np.float16)
elif c_min > np.finfo(np.float32).min and c_max < np.finfo(np.float32).max:
df[col] = df[col].astype(np.float32)
else:
df[col] = df[col].astype(np.float64)
end_mem = df.memory_usage().sum() / 1024**2
if verbose: print('Mem. usage decreased to {:5.2f} Mb ({:.1f}% reduction)'.format(end_mem, 100 * (start_mem - end_mem) / start_mem))
Three data files given:
sales = pd.read_csv(SALES_CSV)
prices = pd.read_csv(PRICES_CSV)
calendar = pd.read_csv(CALENDAR_CSV)
sales
id | item_id | dept_id | cat_id | store_id | state_id | d_1 | d_2 | d_3 | d_4 | d_5 | d_6 | d_7 | d_8 | d_9 | d_10 | d_11 | d_12 | d_13 | d_14 | d_15 | d_16 | d_17 | d_18 | d_19 | d_20 | d_21 | d_22 | d_23 | d_24 | d_25 | d_26 | d_27 | d_28 | d_29 | d_30 | d_31 | d_32 | d_33 | d_34 | d_35 | d_36 | d_37 | d_38 | d_39 | d_40 | d_41 | d_42 | d_43 | d_44 | d_45 | d_46 | d_47 | d_48 | d_49 | d_50 | d_51 | d_52 | d_53 | d_54 | d_55 | d_56 | d_57 | d_58 | d_59 | d_60 | d_61 | d_62 | d_63 | d_64 | d_65 | d_66 | d_67 | d_68 | d_69 | d_70 | d_71 | d_72 | d_73 | d_74 | d_75 | d_76 | d_77 | d_78 | d_79 | d_80 | d_81 | d_82 | d_83 | d_84 | d_85 | d_86 | d_87 | d_88 | d_89 | d_90 | d_91 | d_92 | d_93 | d_94 | d_95 | d_96 | d_97 | d_98 | d_99 | d_100 | d_101 | d_102 | d_103 | d_104 | d_105 | d_106 | d_107 | d_108 | d_109 | d_110 | d_111 | d_112 | d_113 | d_114 | d_115 | d_116 | d_117 | d_118 | d_119 | d_120 | d_121 | d_122 | d_123 | d_124 | d_125 | d_126 | d_127 | d_128 | d_129 | d_130 | d_131 | d_132 | d_133 | d_134 | d_135 | d_136 | d_137 | d_138 | d_139 | d_140 | d_141 | d_142 | d_143 | d_144 | d_145 | d_146 | d_147 | d_148 | d_149 | d_150 | d_151 | d_152 | d_153 | d_154 | d_155 | d_156 | d_157 | d_158 | d_159 | d_160 | d_161 | d_162 | d_163 | d_164 | d_165 | d_166 | d_167 | d_168 | d_169 | d_170 | d_171 | d_172 | d_173 | d_174 | d_175 | d_176 | d_177 | d_178 | d_179 | d_180 | d_181 | d_182 | d_183 | d_184 | d_185 | d_186 | d_187 | d_188 | d_189 | d_190 | d_191 | d_192 | d_193 | d_194 | d_195 | d_196 | d_197 | d_198 | d_199 | d_200 | d_201 | d_202 | d_203 | d_204 | d_205 | d_206 | d_207 | d_208 | d_209 | d_210 | d_211 | d_212 | d_213 | d_214 | d_215 | d_216 | d_217 | d_218 | d_219 | d_220 | d_221 | d_222 | d_223 | d_224 | d_225 | d_226 | d_227 | d_228 | d_229 | d_230 | d_231 | d_232 | d_233 | d_234 | d_235 | d_236 | d_237 | d_238 | d_239 | d_240 | d_241 | d_242 | d_243 | d_244 | d_245 | d_246 | d_247 | d_248 | d_249 | d_250 | d_251 | d_252 | d_253 | d_254 | d_255 | d_256 | d_257 | d_258 | d_259 | d_260 | d_261 | d_262 | d_263 | d_264 | d_265 | d_266 | d_267 | d_268 | d_269 | d_270 | d_271 | d_272 | d_273 | d_274 | d_275 | d_276 | d_277 | d_278 | d_279 | d_280 | d_281 | d_282 | d_283 | d_284 | d_285 | d_286 | d_287 | d_288 | d_289 | d_290 | d_291 | d_292 | d_293 | d_294 | d_295 | d_296 | d_297 | d_298 | d_299 | d_300 | d_301 | d_302 | d_303 | d_304 | d_305 | d_306 | d_307 | d_308 | d_309 | d_310 | d_311 | d_312 | d_313 | d_314 | d_315 | d_316 | d_317 | d_318 | d_319 | d_320 | d_321 | d_322 | d_323 | d_324 | d_325 | d_326 | d_327 | d_328 | d_329 | d_330 | d_331 | d_332 | d_333 | d_334 | d_335 | d_336 | d_337 | d_338 | d_339 | d_340 | d_341 | d_342 | d_343 | d_344 | d_345 | d_346 | d_347 | d_348 | d_349 | d_350 | d_351 | d_352 | d_353 | d_354 | d_355 | d_356 | d_357 | d_358 | d_359 | d_360 | d_361 | d_362 | d_363 | d_364 | d_365 | d_366 | d_367 | d_368 | d_369 | d_370 | d_371 | d_372 | d_373 | d_374 | d_375 | d_376 | d_377 | d_378 | d_379 | d_380 | d_381 | d_382 | d_383 | d_384 | d_385 | d_386 | d_387 | d_388 | d_389 | d_390 | d_391 | d_392 | d_393 | d_394 | d_395 | d_396 | d_397 | d_398 | d_399 | d_400 | d_401 | d_402 | d_403 | d_404 | d_405 | d_406 | d_407 | d_408 | d_409 | d_410 | d_411 | d_412 | d_413 | d_414 | d_415 | d_416 | d_417 | d_418 | d_419 | d_420 | d_421 | d_422 | d_423 | d_424 | d_425 | d_426 | d_427 | d_428 | d_429 | d_430 | d_431 | d_432 | d_433 | d_434 | d_435 | d_436 | d_437 | d_438 | d_439 | d_440 | d_441 | d_442 | d_443 | d_444 | d_445 | d_446 | d_447 | d_448 | d_449 | d_450 | d_451 | d_452 | d_453 | d_454 | d_455 | d_456 | d_457 | d_458 | d_459 | d_460 | d_461 | d_462 | d_463 | d_464 | d_465 | d_466 | d_467 | d_468 | d_469 | d_470 | d_471 | d_472 | d_473 | d_474 | d_475 | d_476 | d_477 | d_478 | d_479 | d_480 | d_481 | d_482 | d_483 | d_484 | d_485 | d_486 | d_487 | d_488 | d_489 | d_490 | d_491 | d_492 | d_493 | d_494 | d_495 | d_496 | d_497 | d_498 | d_499 | d_500 | d_501 | d_502 | d_503 | d_504 | d_505 | d_506 | d_507 | d_508 | d_509 | d_510 | d_511 | d_512 | d_513 | d_514 | d_515 | d_516 | d_517 | d_518 | d_519 | d_520 | d_521 | d_522 | d_523 | d_524 | d_525 | d_526 | d_527 | d_528 | d_529 | d_530 | d_531 | d_532 | d_533 | d_534 | d_535 | d_536 | d_537 | d_538 | d_539 | d_540 | d_541 | d_542 | d_543 | d_544 | d_545 | d_546 | d_547 | d_548 | d_549 | d_550 | d_551 | d_552 | d_553 | d_554 | d_555 | d_556 | d_557 | d_558 | d_559 | d_560 | d_561 | d_562 | d_563 | d_564 | d_565 | d_566 | d_567 | d_568 | d_569 | d_570 | d_571 | d_572 | d_573 | d_574 | d_575 | d_576 | d_577 | d_578 | d_579 | d_580 | d_581 | d_582 | d_583 | d_584 | d_585 | d_586 | d_587 | d_588 | d_589 | d_590 | d_591 | d_592 | d_593 | d_594 | d_595 | d_596 | d_597 | d_598 | d_599 | d_600 | d_601 | d_602 | d_603 | d_604 | d_605 | d_606 | d_607 | d_608 | d_609 | d_610 | d_611 | d_612 | d_613 | d_614 | d_615 | d_616 | d_617 | d_618 | d_619 | d_620 | d_621 | d_622 | d_623 | d_624 | d_625 | d_626 | d_627 | d_628 | d_629 | d_630 | d_631 | d_632 | d_633 | d_634 | d_635 | d_636 | d_637 | d_638 | d_639 | d_640 | d_641 | d_642 | d_643 | d_644 | d_645 | d_646 | d_647 | d_648 | d_649 | d_650 | d_651 | d_652 | d_653 | d_654 | d_655 | d_656 | d_657 | d_658 | d_659 | d_660 | d_661 | d_662 | d_663 | d_664 | d_665 | d_666 | d_667 | d_668 | d_669 | d_670 | d_671 | d_672 | d_673 | d_674 | d_675 | d_676 | d_677 | d_678 | d_679 | d_680 | d_681 | d_682 | d_683 | d_684 | d_685 | d_686 | d_687 | d_688 | d_689 | d_690 | d_691 | d_692 | d_693 | d_694 | d_695 | d_696 | d_697 | d_698 | d_699 | d_700 | d_701 | d_702 | d_703 | d_704 | d_705 | d_706 | d_707 | d_708 | d_709 | d_710 | d_711 | d_712 | d_713 | d_714 | d_715 | d_716 | d_717 | d_718 | d_719 | d_720 | d_721 | d_722 | d_723 | d_724 | d_725 | d_726 | d_727 | d_728 | d_729 | d_730 | d_731 | d_732 | d_733 | d_734 | d_735 | d_736 | d_737 | d_738 | d_739 | d_740 | d_741 | d_742 | d_743 | d_744 | d_745 | d_746 | d_747 | d_748 | d_749 | d_750 | d_751 | d_752 | d_753 | d_754 | d_755 | d_756 | d_757 | d_758 | d_759 | d_760 | d_761 | d_762 | d_763 | d_764 | d_765 | d_766 | d_767 | d_768 | d_769 | d_770 | d_771 | d_772 | d_773 | d_774 | d_775 | d_776 | d_777 | d_778 | d_779 | d_780 | d_781 | d_782 | d_783 | d_784 | d_785 | d_786 | d_787 | d_788 | d_789 | d_790 | d_791 | d_792 | d_793 | d_794 | d_795 | d_796 | d_797 | d_798 | d_799 | d_800 | d_801 | d_802 | d_803 | d_804 | d_805 | d_806 | d_807 | d_808 | d_809 | d_810 | d_811 | d_812 | d_813 | d_814 | d_815 | d_816 | d_817 | d_818 | d_819 | d_820 | d_821 | d_822 | d_823 | d_824 | d_825 | d_826 | d_827 | d_828 | d_829 | d_830 | d_831 | d_832 | d_833 | d_834 | d_835 | d_836 | d_837 | d_838 | d_839 | d_840 | d_841 | d_842 | d_843 | d_844 | d_845 | d_846 | d_847 | d_848 | d_849 | d_850 | d_851 | d_852 | d_853 | d_854 | d_855 | d_856 | d_857 | d_858 | d_859 | d_860 | d_861 | d_862 | d_863 | d_864 | d_865 | d_866 | d_867 | d_868 | d_869 | d_870 | d_871 | d_872 | d_873 | d_874 | d_875 | d_876 | d_877 | d_878 | d_879 | d_880 | d_881 | d_882 | d_883 | d_884 | d_885 | d_886 | d_887 | d_888 | d_889 | d_890 | d_891 | d_892 | d_893 | d_894 | d_895 | d_896 | d_897 | d_898 | d_899 | d_900 | d_901 | d_902 | d_903 | d_904 | d_905 | d_906 | d_907 | d_908 | d_909 | d_910 | d_911 | d_912 | d_913 | d_914 | d_915 | d_916 | d_917 | d_918 | d_919 | d_920 | d_921 | d_922 | d_923 | d_924 | d_925 | d_926 | d_927 | d_928 | d_929 | d_930 | d_931 | d_932 | d_933 | d_934 | d_935 | d_936 | d_937 | d_938 | d_939 | d_940 | d_941 | d_942 | d_943 | d_944 | d_945 | d_946 | d_947 | d_948 | d_949 | d_950 | d_951 | d_952 | d_953 | d_954 | d_955 | d_956 | d_957 | d_958 | d_959 | d_960 | d_961 | d_962 | d_963 | d_964 | d_965 | d_966 | d_967 | d_968 | d_969 | d_970 | d_971 | d_972 | d_973 | d_974 | d_975 | d_976 | d_977 | d_978 | d_979 | d_980 | d_981 | d_982 | d_983 | d_984 | d_985 | d_986 | d_987 | d_988 | d_989 | d_990 | d_991 | d_992 | d_993 | d_994 | d_995 | d_996 | d_997 | d_998 | d_999 | d_1000 | d_1001 | d_1002 | d_1003 | d_1004 | d_1005 | d_1006 | d_1007 | d_1008 | d_1009 | d_1010 | d_1011 | d_1012 | d_1013 | d_1014 | d_1015 | d_1016 | d_1017 | d_1018 | d_1019 | d_1020 | d_1021 | d_1022 | d_1023 | d_1024 | d_1025 | d_1026 | d_1027 | d_1028 | d_1029 | d_1030 | d_1031 | d_1032 | d_1033 | d_1034 | d_1035 | d_1036 | d_1037 | d_1038 | d_1039 | d_1040 | d_1041 | d_1042 | d_1043 | d_1044 | d_1045 | d_1046 | d_1047 | d_1048 | d_1049 | d_1050 | d_1051 | d_1052 | d_1053 | d_1054 | d_1055 | d_1056 | d_1057 | d_1058 | d_1059 | d_1060 | d_1061 | d_1062 | d_1063 | d_1064 | d_1065 | d_1066 | d_1067 | d_1068 | d_1069 | d_1070 | d_1071 | d_1072 | d_1073 | d_1074 | d_1075 | d_1076 | d_1077 | d_1078 | d_1079 | d_1080 | d_1081 | d_1082 | d_1083 | d_1084 | d_1085 | d_1086 | d_1087 | d_1088 | d_1089 | d_1090 | d_1091 | d_1092 | d_1093 | d_1094 | d_1095 | d_1096 | d_1097 | d_1098 | d_1099 | d_1100 | d_1101 | d_1102 | d_1103 | d_1104 | d_1105 | d_1106 | d_1107 | d_1108 | d_1109 | d_1110 | d_1111 | d_1112 | d_1113 | d_1114 | d_1115 | d_1116 | d_1117 | d_1118 | d_1119 | d_1120 | d_1121 | d_1122 | d_1123 | d_1124 | d_1125 | d_1126 | d_1127 | d_1128 | d_1129 | d_1130 | d_1131 | d_1132 | d_1133 | d_1134 | d_1135 | d_1136 | d_1137 | d_1138 | d_1139 | d_1140 | d_1141 | d_1142 | d_1143 | d_1144 | d_1145 | d_1146 | d_1147 | d_1148 | d_1149 | d_1150 | d_1151 | d_1152 | d_1153 | d_1154 | d_1155 | d_1156 | d_1157 | d_1158 | d_1159 | d_1160 | d_1161 | d_1162 | d_1163 | d_1164 | d_1165 | d_1166 | d_1167 | d_1168 | d_1169 | d_1170 | d_1171 | d_1172 | d_1173 | d_1174 | d_1175 | d_1176 | d_1177 | d_1178 | d_1179 | d_1180 | d_1181 | d_1182 | d_1183 | d_1184 | d_1185 | d_1186 | d_1187 | d_1188 | d_1189 | d_1190 | d_1191 | d_1192 | d_1193 | d_1194 | d_1195 | d_1196 | d_1197 | d_1198 | d_1199 | d_1200 | d_1201 | d_1202 | d_1203 | d_1204 | d_1205 | d_1206 | d_1207 | d_1208 | d_1209 | d_1210 | d_1211 | d_1212 | d_1213 | d_1214 | d_1215 | d_1216 | d_1217 | d_1218 | d_1219 | d_1220 | d_1221 | d_1222 | d_1223 | d_1224 | d_1225 | d_1226 | d_1227 | d_1228 | d_1229 | d_1230 | d_1231 | d_1232 | d_1233 | d_1234 | d_1235 | d_1236 | d_1237 | d_1238 | d_1239 | d_1240 | d_1241 | d_1242 | d_1243 | d_1244 | d_1245 | d_1246 | d_1247 | d_1248 | d_1249 | d_1250 | d_1251 | d_1252 | d_1253 | d_1254 | d_1255 | d_1256 | d_1257 | d_1258 | d_1259 | d_1260 | d_1261 | d_1262 | d_1263 | d_1264 | d_1265 | d_1266 | d_1267 | d_1268 | d_1269 | d_1270 | d_1271 | d_1272 | d_1273 | d_1274 | d_1275 | d_1276 | d_1277 | d_1278 | d_1279 | d_1280 | d_1281 | d_1282 | d_1283 | d_1284 | d_1285 | d_1286 | d_1287 | d_1288 | d_1289 | d_1290 | d_1291 | d_1292 | d_1293 | d_1294 | d_1295 | d_1296 | d_1297 | d_1298 | d_1299 | d_1300 | d_1301 | d_1302 | d_1303 | d_1304 | d_1305 | d_1306 | d_1307 | d_1308 | d_1309 | d_1310 | d_1311 | d_1312 | d_1313 | d_1314 | d_1315 | d_1316 | d_1317 | d_1318 | d_1319 | d_1320 | d_1321 | d_1322 | d_1323 | d_1324 | d_1325 | d_1326 | d_1327 | d_1328 | d_1329 | d_1330 | d_1331 | d_1332 | d_1333 | d_1334 | d_1335 | d_1336 | d_1337 | d_1338 | d_1339 | d_1340 | d_1341 | d_1342 | d_1343 | d_1344 | d_1345 | d_1346 | d_1347 | d_1348 | d_1349 | d_1350 | d_1351 | d_1352 | d_1353 | d_1354 | d_1355 | d_1356 | d_1357 | d_1358 | d_1359 | d_1360 | d_1361 | d_1362 | d_1363 | d_1364 | d_1365 | d_1366 | d_1367 | d_1368 | d_1369 | d_1370 | d_1371 | d_1372 | d_1373 | d_1374 | d_1375 | d_1376 | d_1377 | d_1378 | d_1379 | d_1380 | d_1381 | d_1382 | d_1383 | d_1384 | d_1385 | d_1386 | d_1387 | d_1388 | d_1389 | d_1390 | d_1391 | d_1392 | d_1393 | d_1394 | d_1395 | d_1396 | d_1397 | d_1398 | d_1399 | d_1400 | d_1401 | d_1402 | d_1403 | d_1404 | d_1405 | d_1406 | d_1407 | d_1408 | d_1409 | d_1410 | d_1411 | d_1412 | d_1413 | d_1414 | d_1415 | d_1416 | d_1417 | d_1418 | d_1419 | d_1420 | d_1421 | d_1422 | d_1423 | d_1424 | d_1425 | d_1426 | d_1427 | d_1428 | d_1429 | d_1430 | d_1431 | d_1432 | d_1433 | d_1434 | d_1435 | d_1436 | d_1437 | d_1438 | d_1439 | d_1440 | d_1441 | d_1442 | d_1443 | d_1444 | d_1445 | d_1446 | d_1447 | d_1448 | d_1449 | d_1450 | d_1451 | d_1452 | d_1453 | d_1454 | d_1455 | d_1456 | d_1457 | d_1458 | d_1459 | d_1460 | d_1461 | d_1462 | d_1463 | d_1464 | d_1465 | d_1466 | d_1467 | d_1468 | d_1469 | d_1470 | d_1471 | d_1472 | d_1473 | d_1474 | d_1475 | d_1476 | d_1477 | d_1478 | d_1479 | d_1480 | d_1481 | d_1482 | d_1483 | d_1484 | d_1485 | d_1486 | d_1487 | d_1488 | d_1489 | d_1490 | d_1491 | d_1492 | d_1493 | d_1494 | d_1495 | d_1496 | d_1497 | d_1498 | d_1499 | d_1500 | d_1501 | d_1502 | d_1503 | d_1504 | d_1505 | d_1506 | d_1507 | d_1508 | d_1509 | d_1510 | d_1511 | d_1512 | d_1513 | d_1514 | d_1515 | d_1516 | d_1517 | d_1518 | d_1519 | d_1520 | d_1521 | d_1522 | d_1523 | d_1524 | d_1525 | d_1526 | d_1527 | d_1528 | d_1529 | d_1530 | d_1531 | d_1532 | d_1533 | d_1534 | d_1535 | d_1536 | d_1537 | d_1538 | d_1539 | d_1540 | d_1541 | d_1542 | d_1543 | d_1544 | d_1545 | d_1546 | d_1547 | d_1548 | d_1549 | d_1550 | d_1551 | d_1552 | d_1553 | d_1554 | d_1555 | d_1556 | d_1557 | d_1558 | d_1559 | d_1560 | 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1 | HOBBIES_1_002_CA_1_evaluation | HOBBIES_1_002 | HOBBIES_1 | HOBBIES | CA_1 | CA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 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2 | HOBBIES_1_003_CA_1_evaluation | HOBBIES_1_003 | HOBBIES_1 | HOBBIES | CA_1 | CA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 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| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 3 | 0 | 1 | 2 | 0 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 0 | 1 | 3 | 1 | 2 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 1 | 4 | 3 | 2 | 1 | 2 | 2 | 0 | 1 | 5 | 2 | 0 | 1 | 2 | 3 | 0 | 1 | 2 | 1 | 3 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 2 | 3 | 0 | 1 |
3 | HOBBIES_1_004_CA_1_evaluation | HOBBIES_1_004 | HOBBIES_1 | HOBBIES | CA_1 | CA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 3 | 0 | 2 | 0 | 0 | 2 | 2 | 0 | 0 | 2 | 1 | 2 | 1 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 3 | 5 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 1 | 0 | 2 | 0 | 0 | 5 | 1 | 0 | 0 | 1 | 3 | 1 | 3 | 5 | 1 | 3 | 0 | 3 | 4 | 4 | 0 | 0 | 1 | 3 | 1 | 4 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 4 | 2 | 1 | 0 | 2 | 1 | 3 | 6 | 1 | 1 | 2 | 1 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 3 | 4 | 5 | 1 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | 3 | 1 | 1 | 0 | 1 | 4 | 5 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 1 | 6 | 2 | 4 | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 3 | 1 | 2 | 4 | 2 | 1 | 3 | 2 | 2 | 0 | 4 | 1 | 1 | 0 | 4 | 2 | 2 | 5 | 1 | 2 | 3 | 3 | 2 | 2 | 1 | 1 | 2 | 1 | 3 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 1 | 2 | 3 | 0 | 1 | 0 | 2 | 0 | 5 | 4 | 2 | 1 | 2 | 4 | 1 | 1 | 0 | 1 | 2 | 2 | 2 | 0 | 2 | 3 | 0 | 1 | 1 | 1 | 1 | 0 | 5 | 1 | 1 | 1 | 2 | 0 | 4 | 2 | 3 | 2 | 0 | 2 | 1 | 1 | 6 | 3 | 1 | 3 | 2 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 6 | 2 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 4 | 2 | 1 | 0 | 1 | 1 | 8 | 1 | 3 | 0 | 1 | 2 | 3 | 3 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 8 | 2 | 0 | 1 | 2 | 0 | 2 | 5 | 3 | 0 | 0 | 3 | 1 | 0 | 2 | 1 | 2 | 2 | 1 | 2 | 2 | 6 | 0 | 2 | 0 | 1 | 1 | 2 | 1 | 3 | 0 | 0 | 2 | 1 | 4 | 3 | 1 | 1 | 1 | 1 | 2 | 3 | 5 | 0 | 1 | 2 | 1 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 2 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 3 | 1 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 1 | 1 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 1 | 1 | 3 | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 5 | 1 | 0 | 1 | 1 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 3 | 3 | 0 | 1 | 2 | 0 | 0 | 3 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 2 | 1 | 2 | 1 | 1 | 2 | 1 | 0 | 2 | 1 | 2 | 5 | 1 | 1 | 5 | 1 | 0 | 1 | 2 | 1 | 1 | 4 | 1 | 5 | 0 | 7 | 0 | 0 | 3 | 1 | 2 | 3 | 1 | 1 | 4 | 2 | 1 | 3 | 0 | 1 | 1 | 3 | 2 | 1 | 1 | 1 | 1 | 5 | 1 | 3 | 5 | 0 | 1 | 1 | 2 | 0 | 5 | 1 | 0 | 2 | 1 | 2 | 1 | 5 | 2 | 2 | 0 | 4 | 0 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 1 | 1 | 1 | 0 | 2 | 1 | 0 | 3 | 0 | 2 | 3 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 2 | 0 | 1 | 0 | 3 | 1 | 0 | 2 | 1 | 2 | 6 | 0 | 1 | 1 | 1 | 6 | 0 | 3 | 0 | 0 | 1 | 4 | 3 | 2 | 0 | 2 | 2 | 2 | 4 | 2 | 2 | 0 | 1 | 2 | 1 | 2 | 7 | 1 | 0 | 1 | 0 | 2 | 5 | 1 | 6 | 1 | 0 | 0 | 0 | 3 | 4 | 0 | 3 | 2 | 1 | 1 | 2 | 5 | 2 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 1 | 2 | 3 | 1 | 0 | 5 | 3 | 1 | 1 | 2 | 1 | 1 | 1 | 2 | 0 | 1 | 2 | 0 | 2 | 0 | 2 | 3 | 7 | 0 | 0 | 2 | 1 | 2 | 3 | 1 | 0 | 2 | 1 | 3 | 1 | 0 | 0 | 0 | 3 | 6 | 4 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 0 | 0 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 1 | 1 | 0 | 1 | 4 | 2 | 1 | 2 | 1 | 2 | 3 | 2 | 2 | 2 | 5 | 0 | 0 | 1 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 4 | 2 | 1 | 1 | 1 | 1 | 0 | 5 | 0 | 1 | 0 | 1 | 3 | 1 | 2 | 1 | 4 | 1 | 4 | 0 | 1 | 1 | 4 | 2 | 1 | 1 | 4 | 1 | 3 | 3 | 0 | 3 | 0 | 1 | 1 | 3 | 4 | 1 | 0 | 0 | 1 | 0 | 2 | 4 | 4 | 0 | 1 | 0 | 3 | 5 | 4 | 0 | 1 | 0 | 1 | 0 | 3 | 5 | 1 | 2 | 4 | 3 | 1 | 1 | 2 | 2 | 1 | 2 | 1 | 0 | 8 | 6 | 3 | 2 | 1 | 2 | 2 | 5 | 5 | 0 | 2 | 2 | 1 | 0 | 3 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | 4 | 2 | 2 | 0 | 1 | 3 | 4 | 3 | 2 | 3 | 2 | 5 | 3 | 2 | 8 | 3 | 0 | 1 | 6 | 1 | 2 | 3 | 1 | 2 | 0 | 11 | 0 | 1 | 4 | 3 | 0 | 0 | 1 | 2 | 2 | 6 | 2 | 0 | 0 | 3 | 0 | 10 | 5 | 1 | 3 | 2 | 4 | 4 | 2 | 0 | 1 | 4 | 1 | 0 | 2 | 5 | 1 | 1 | 0 | 1 | 1 | 2 | 2 | 2 | 0 | 0 | 0 | 3 | 2 | 8 | 5 | 2 | 2 | 1 | 1 | 2 | 4 | 2 | 0 | 0 | 5 | 0 | 2 | 4 | 6 | 2 | 0 | 1 | 3 | 0 | 5 | 3 | 0 | 3 | 1 | 1 | 0 | 12 | 4 | 0 | 2 | 2 | 1 | 4 | 0 | 1 | 7 | 2 | 2 | 0 | 1 | 6 | 10 | 0 | 1 | 1 | 1 | 2 | 2 | 6 | 1 | 0 | 1 | 3 | 0 | 5 | 2 | 1 | 4 | 2 | 5 | 2 | 4 | 2 | 1 | 0 | 0 | 1 | 1 | 12 | 1 | 2 | 0 | 3 | 2 | 5 | 3 | 2 | 1 | 1 | 2 | 1 | 3 | 3 | 4 | 1 | 4 | 2 | 2 | 1 | 1 | 4 | 1 | 1 | 1 | 1 | 1 | 2 | 14 | 2 | 2 | 0 | 2 | 1 | 2 | 3 | 3 | 2 | 2 | 0 | 4 | 6 | 4 | 2 | 1 | 1 | 2 | 1 | 2 | 5 | 2 | 2 | 1 | 2 | 3 | 5 | 10 | 0 | 0 | 2 | 1 | 1 | 3 | 2 | 2 | 2 | 3 | 0 | 2 | 5 | 3 | 2 | 3 | 3 | 1 | 1 | 1 | 2 | 2 | 5 | 3 | 1 | 3 | 6 | 5 | 2 | 4 | 1 | 3 | 2 | 4 | 5 | 7 | 1 | 0 | 4 | 4 | 1 | 4 | 1 | 0 | 1 | 3 | 1 | 3 | 6 | 1 | 2 | 0 | 3 | 0 | 3 | 8 | 2 | 2 | 0 | 0 | 2 | 4 | 2 | 0 | 0 | 2 | 4 | 2 | 3 | 6 | 2 | 0 | 3 | 5 | 2 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 6 | 1 | 2 | 5 | 4 | 3 | 2 | 3 | 4 | 3 | 2 | 3 | 2 | 0 | 3 | 6 | 1 | 2 | 1 | 3 | 3 | 1 | 5 | 0 | 2 | 1 | 0 | 2 | 9 | 0 | 0 | 2 | 2 | 3 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 1 | 3 | 3 | 0 | 0 | 3 | 0 | 0 | 4 | 5 | 1 | 2 | 2 | 0 | 0 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 6 | 1 | 0 | 4 | 4 | 0 | 8 | 2 | 4 | 1 | 2 | 1 | 4 | 0 | 4 | 7 | 1 | 5 | 1 | 6 | 5 | 5 | 0 | 1 | 3 | 1 | 15 | 0 | 5 | 0 | 1 | 1 | 6 | 3 | 2 | 2 | 3 | 1 | 3 | 1 | 8 | 2 | 4 | 0 | 0 | 2 | 1 | 1 | 5 | 9 | 0 | 2 | 2 | 5 | 0 | 7 | 1 | 1 | 3 | 0 | 0 | 2 | 10 | 2 | 1 | 0 | 0 | 2 | 4 | 3 | 3 | 0 | 2 | 2 | 3 | 0 | 1 | 9 | 2 | 0 | 4 | 1 | 1 | 2 | 3 | 8 | 1 | 0 | 0 | 2 | 11 | 3 | 3 | 1 | 0 | 2 | 1 | 2 | 6 | 0 | 0 | 2 | 0 | 3 | 10 | 4 | 0 | 1 | 1 | 1 | 1 | 4 | 2 | 8 | 2 | 2 | 2 | 1 | 1 | 12 | 2 | 0 | 0 | 1 | 3 | 4 | 1 | 0 | 2 | 1 | 2 | 1 | 3 | 10 | 1 | 2 | 0 | 0 | 1 | 0 | 3 | 2 | 0 | 4 | 0 | 3 | 1 | 10 | 1 | 0 | 0 | 4 | 5 | 7 | 0 | 0 | 2 | 0 | 1 | 4 | 1 | 7 | 1 | 1 | 0 | 8 | 2 | 0 | 8 | 2 | 3 | 1 | 1 | 3 | 8 | 4 | 1 | 0 | 1 | 3 | 5 | 2 | 3 | 0 | 2 | 1 | 2 | 1 | 6 | 7 | 0 | 2 | 1 | 0 | 3 | 8 | 4 | 1 | 1 | 1 | 2 | 2 | 6 | 5 | 2 | 1 | 0 | 1 | 3 | 4 | 2 | 2 | 2 | 2 | 2 | 1 | 0 | 13 | 0 | 0 | 0 | 5 | 3 | 2 | 5 | 1 | 0 | 2 | 1 | 0 | 0 | 12 | 0 | 1 | 0 | 2 | 2 | 4 | 1 | 3 | 1 | 1 | 4 | 1 | 4 | 2 | 2 | 0 | 2 | 3 | 1 | 0 | 2 | 9 | 2 | 2 | 0 | 0 | 10 | 2 | 0 | 1 | 0 | 3 | 2 | 4 | 7 | 1 | 0 | 1 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | 0 | 0 | 1 | 1 | 0 | 7 | 4 | 1 | 1 | 4 | 0 | 0 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 11 | 2 | 2 | 1 | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 3 | 0 | 2 | 14 | 0 | 0 | 0 | 3 | 3 | 1 | 1 | 1 | 1 | 0 | 3 | 3 | 1 | 7 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 4 | 4 | 3 | 0 | 2 | 0 | 0 | 1 | 3 | 3 | 0 | 2 | 1 | 2 | 4 | 7 | 0 | 2 | 1 | 0 | 5 | 5 | 2 | 2 | 4 | 1 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 3 | 1 | 3 | 3 | 0 | 0 | 4 | 1 | 1 | 1 | 1 | 3 | 3 | 1 | 0 | 3 | 0 | 1 | 3 | 3 | 3 | 2 | 2 | 2 | 4 | 3 | 0 | 5 | 1 | 3 | 3 | 2 | 0 | 0 | 1 | 1 | 0 | 2 | 2 | 2 | 3 | 2 | 1 | 2 | 0 | 5 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 1 | 5 | 3 | 2 | 2 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 2 | 4 | 0 | 0 | 0 | 3 | 2 | 4 | 3 | 1 | 2 | 3 | 0 | 8 | 2 | 1 | 2 | 2 | 5 | 2 | 6 | 1 | 0 | 3 | 5 | 1 | 1 | 6 | 4 | 3 | 2 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 2 | 0 | 5 | 4 | 2 | 1 | 1 | 2 | 3 | 0 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | 0 | 1 | 3 | 4 | 2 | 1 | 4 | 1 | 3 | 5 | 0 | 6 | 6 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 3 | 1 | 0 | 2 | 5 | 4 | 2 | 0 | 3 | 0 | 1 | 0 | 5 | 4 | 1 | 0 | 1 | 3 | 7 | 2 | 0 | 0 | 1 | 2 | 4 | 1 | 6 | 4 | 0 | 0 | 0 | 2 | 2 | 4 | 2 | 1 | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 1 | 3 | 0 | 2 | 6 |
4 | HOBBIES_1_005_CA_1_evaluation | HOBBIES_1_005 | HOBBIES_1 | HOBBIES | CA_1 | CA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 0 | 3 | 2 | 3 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 2 | 2 | 4 | 0 | 0 | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 2 | 4 | 2 | 0 | 0 | 3 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 7 | 9 | 4 | 7 | 6 | 3 | 4 | 2 | 0 | 1 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 3 | 0 | 1 | 2 | 0 | 2 | 3 | 2 | 1 | 4 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 6 | 0 | 0 | 2 | 2 | 1 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 2 | 5 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 3 | 1 | 2 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 5 | 3 | 2 | 2 | 3 | 1 | 3 | 1 | 1 | 2 | 0 | 1 | 2 | 2 | 2 | 5 | 2 | 1 | 1 | 2 | 2 | 0 | 1 | 4 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 1 | 0 | 1 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 3 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 3 | 2 | 0 | 1 | 0 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 2 | 1 | 5 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 1 | 1 | 1 | 0 | 2 | 2 | 0 | 0 | 2 | 0 | 0 | 2 | 1 | 2 | 0 | 0 | 3 | 1 | 1 | 3 | 2 | 2 | 0 | 0 | 4 | 1 | 1 | 7 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 2 | 1 | 3 | 1 | 1 | 2 | 0 | 2 | 0 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 2 | 0 | 2 | 1 | 3 | 5 | 2 | 4 | 0 | 0 | 1 | 3 | 5 | 2 | 0 | 1 | 1 | 2 | 0 | 4 | 1 | 1 | 0 | 1 | 3 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 2 | 0 | 0 | 4 | 1 | 0 | 6 | 0 | 0 | 0 | 2 | 2 | 4 | 0 | 1 | 1 | 2 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 0 | 2 | 0 | 0 | 2 | 1 | 4 | 0 | 0 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 2 | 2 | 3 | 0 | 2 | 2 | 0 | 1 | 2 | 0 | 2 | 1 | 1 | 0 | 1 | 4 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 2 | 3 | 1 | 1 | 1 | 3 | 0 | 2 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 5 | 4 | 1 | 0 | 2 | 3 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 1 | 1 | 1 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 0 | 2 | 1 | 3 | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 0 | 1 | 1 | 5 | 0 | 0 | 1 | 2 | 2 | 3 | 0 | 1 | 0 | 2 | 3 | 3 | 0 | 1 | 0 | 1 | 3 | 4 | 1 | 1 | 1 | 0 | 2 | 1 | 2 | 2 | 0 | 3 | 1 | 0 | 2 | 2 | 0 | 1 | 3 | 3 | 1 | 1 | 1 | 0 | 0 | 3 | 0 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30485 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | 0 | 0 | 2 | 2 | 0 | 3 | 1 | 4 | 1 | 0 | 0 | 3 | 4 | 4 | 0 | 0 | 1 | 0 | 1 | 1 | 7 | 7 | 3 | 6 | 3 | 3 | 7 | 12 | 4 | 2 | 7 | 5 | 12 | 5 | 3 | 3 | 7 | 6 | 4 | 6 | 3 | 6 | 2 | 3 | 4 | 1 | 1 | 3 | 2 | 1 | 2 | 3 | 4 | 7 | 2 | 4 | 4 | 4 | 7 | 7 | 2 | 4 | 7 | 4 | 4 | 7 | 3 | 4 | 2 | 3 | 10 | 6 | 8 | 5 | 1 | 0 | 2 | 1 | 0 | 3 | 0 | 2 | 3 | 1 | 1 | 1 | 7 | 1 | 4 | 2 | 2 | 0 | 0 | 0 | 5 | 1 | 1 | 3 | 1 | 6 | 6 | 3 | 4 | 3 | 2 | 2 | 1 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 3 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 3 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 3 | 1 | 2 | 2 | 0 | 3 | 2 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 2 | 1 | 3 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 3 | 0 | 1 | 0 | 1 | 2 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 2 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 2 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 3 | 2 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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2 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 1 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 4 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 4 | 0 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 2 | 3 | 1 | 0 | 1 | 3 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |
30486 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 3 | 1 | 1 | 0 | 4 | 2 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 1 | 3 | 3 | 4 | 4 | 3 | 6 | 1 | 0 | 1 | 2 | 3 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 2 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 2 | 0 | 0 | 0 | 3 | 1 | 4 | 1 | 2 | 1 | 2 | 3 | 3 | 0 | 0 | 2 | 2 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 5 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 3 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 4 | 1 | 0 | 1 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30487 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | 0 | 6 | 0 | 2 | 2 | 4 | 1 | 8 | 5 | 2 | 7 | 5 | 3 | 5 | 20 | 8 | 10 | 3 | 3 | 4 | 7 | 2 | 3 | 5 | 6 | 3 | 4 | 1 | 2 | 5 | 1 | 2 | 2 | 2 | 1 | 9 | 8 | 1 | 6 | 3 | 3 | 4 | 10 | 4 | 6 | 3 | 2 | 1 | 1 | 3 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 4 | 0 | 0 | 1 | 3 | 1 | 1 | 1 | 3 | 0 | 1 | 1 | 1 | 2 | 3 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 0 | 0 | 3 | 1 | 1 | 2 | 0 | 1 | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 2 | 2 | 3 | 2 | 0 | 2 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 2 | 0 | 1 | 1 | 1 | 2 | 1 | 3 | 0 | 2 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 2 | 1 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 4 | 7 | 0 | 1 | 4 | 2 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 1 | 0 | 0 | 1 | 4 | 1 | 2 | 2 | 1 | 1 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 1 | 4 | 2 | 3 | 0 | 2 | 2 | 0 | 2 | 5 | 1 | 2 | 2 | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 2 | 2 | 3 | 1 | 0 | 2 | 0 | 1 | 2 | 2 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 4 | 1 | 1 | 0 | 4 | 2 | 0 | 1 | 1 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 1 | 1 | 1 | 3 | 1 | 1 | 0 | 1 | 1 | 1 | 3 | 0 | 0 | 2 | 2 | 2 | 4 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 3 | 3 | 1 | 4 | 0 | 3 | 3 | 1 | 0 | 4 | 1 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 4 | 1 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 3 | 3 | 4 | 0 | 3 | 0 | 1 | 3 | 1 | 2 | 0 | 2 | 4 | 0 | 1 | 2 | 1 | 0 | 3 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 3 | 2 | 4 | 2 | 2 | 2 | 4 | 3 | 2 | 0 | 1 | 0 | 2 | 4 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 3 | 2 | 1 | 0 | 5 | 1 | 0 | 3 | 1 | 1 | 1 | 3 | 0 | 2 | 1 | 1 | 3 | 2 | 0 | 1 | 0 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 3 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 2 | 3 | 7 | 2 | 3 | 0 | 5 | 2 | 0 | 0 | 2 | 3 | 0 | 2 | 1 | 3 | 1 | 0 | 1 | 0 | 4 | 1 | 1 | 1 | 0 | 1 | 1 | 2 | 2 | 2 | 1 | 0 | 2 | 1 | 4 | 6 | 4 | 6 | 0 | 2 | 4 | 3 | 6 | 2 | 2 | 5 | 4 | 4 | 1 | 1 | 1 | 5 | 1 | 1 | 2 | 2 | 4 | 0 | 1 | 1 | 3 | 6 | 4 | 2 | 2 | 3 | 0 | 3 | 0 | 7 | 0 | 3 | 1 | 3 | 2 | 1 | 0 | 3 | 0 | 1 | 3 | 0 | 1 | 2 | 0 | 4 | 4 | 2 | 2 | 6 | 6 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 0 | 3 | 5 | 4 | 1 | 3 | 1 | 1 | 2 | 0 | 0 | 5 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 2 | 1 | 1 | 3 | 1 | 3 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 1 | 0 | 2 | 3 | 2 | 1 | 5 | 5 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 1 | 0 | 1 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 2 | 1 | 1 | 6 | 3 | 1 | 1 | 1 | 1 | 2 | 3 | 1 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 2 | 0 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 2 | 0 | 1 | 2 | 0 | 2 | 0 | 0 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1 | 1 | 1 | 0 | 1 | 4 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 4 | 0 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 2 | 1 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 2 | 0 | 2 | 3 | 2 | 3 | 0 | 1 | 1 | 1 | 1 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 0 | 2 | 1 | 0 | 1 | 2 | 3 | 4 | 4 | 2 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 2 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 1 | 2 | 0 | 2 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0 | 1 | 2 | 0 | 3 | 1 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | 4 | 4 | 1 | 1 | 3 | 2 | 1 | 0 | 7 | 2 | 1 | 0 | 1 | 0 | 3 | 1 | 1 | 0 | 2 | 1 | 0 | 1 | 2 | 4 | 2 | 1 | 3 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 0 | 3 | 0 | 1 | 1 | 3 | 1 | 5 | 1 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 2 | 1 | 3 | 0 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 2 | 3 | 0 | 1 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 1 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 1 | 1 | 0 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 4 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 2 | 0 | 0 | 2 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 2 | 1 | 3 | 1 | 1 | 0 | 3 | 1 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 4 | 0 | 0 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 3 | 3 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 2 |
30488 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 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| 5 | 2 | 3 | 1 | 1 | 1 | 0 | 1 | 0 | 2 | 3 | 2 | 2 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 2 | 3 | 0 | 5 | 1 | 4 | 0 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 0 | 2 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 3 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 3 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | 0 | 3 | 2 | 1 | 0 | 1 | 3 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 3 | 0 | 1 | 5 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 3 | 0 | 2 | 3 | 2 | 1 | 1 | 0 | 1 | 2 | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 4 | 1 | 5 | 0 | 3 | 1 | 4 | 2 | 0 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 5 | 3 | 0 | 2 | 3 | 2 | 3 | 5 | 0 | 2 | 0 | 3 | 3 | 0 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 1 | 0 | 3 | 3 | 0 | 5 | 0 | 1 | 0 | 3 | 2 | 2 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 2 | 1 | 2 | 7 | 0 | 0 | 1 | 4 | 2 | 0 | 2 | 1 | 3 | 2 | 2 | 1 | 0 | 2 | 0 | 3 | 0 | 4 | 3 | 12 | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 2 | 1 | 3 | 2 | 4 | 3 | 2 | 2 | 2 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 5 | 1 | 1 | 0 | 4 | 1 | 2 | 1 | 2 | 3 | 1 | 1 | 1 | 0 | 1 | 3 | 5 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 3 | 3 | 3 | 2 | 8 | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 2 | 2 | 1 | 1 | 2 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 3 | 1 | 2 | 0 | 0 | 2 | 4 | 1 | 0 | 1 | 0 | 0 | 2 | 1 | 2 | 3 | 3 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 3 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 2 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 0 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 3 | 1 | 3 | 1 | 3 | 0 | 1 | 2 | 1 | 0 | 2 | 1 | 1 | 2 | 0 | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 1 | 1 | 4 | 6 | 0 | 1 | 1 | 1 | 0 |
30489 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 0 | 4 | 0 | 2 | 0 | 3 | 1 | 0 | 2 | 6 | 2 | 6 | 1 | 0 | 3 | 1 | 3 | 1 | 1 | 0 | 0 | 2 | 2 | 4 | 0 | 3 | 6 | 2 | 3 | 2 | 6 | 1 | 2 | 5 | 4 | 0 | 0 | 1 | 2 | 4 | 5 | 2 | 1 | 2 | 6 | 3 | 5 | 0 | 1 | 2 | 0 | 4 | 0 | 0 | 2 | 1 | 0 | 7 | 2 | 4 | 0 | 2 | 0 | 1 | 2 | 3 | 1 | 3 | 4 | 0 | 0 | 3 | 6 | 11 | 0 | 0 | 1 | 3 | 1 | 1 | 2 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 5 | 4 | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0 | 3 | 2 | 3 | 4 | 0 | 1 | 1 | 0 | 1 | 3 | 2 | 8 | 0 | 3 | 0 | 2 | 1 | 1 | 0 | 0 | 3 | 2 | 1 | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 0 | 1 | 8 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 4 | 1 | 2 | 2 | 5 | 1 | 0 | 8 | 0 | 1 | 0 | 3 | 1 | 7 | 6 | 2 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 0 | 1 | 1 | 6 | 5 | 0 | 3 | 1 | 0 | 6 | 0 | 0 | 0 | 1 | 2 | 4 | 0 | 1 | 0 | 3 | 1 | 0 | 3 | 5 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 1 | 3 | 2 | 1 | 0 | 3 | 1 | 1 | 2 | 2 | 5 | 1 | 0 | 2 | 1 | 2 | 6 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 2 | 0 | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 5 | 3 | 1 | 0 | 6 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 2 | 0 | 1 | 5 | 1 | 2 | 3 | 0 | 0 | 3 | 0 | 2 | 2 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 3 | 0 | 2 | 4 | 1 | 2 | 2 | 1 | 2 | 2 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 8 | 1 | 0 | 7 | 1 | 1 | 2 | 4 | 0 | 0 | 1 | 0 | 3 | 5 | 4 | 2 | 1 | 2 | 3 | 0 | 0 | 2 | 3 | 1 | 6 | 2 | 0 | 4 | 2 | 0 | 1 | 4 | 0 | 1 | 5 | 6 | 7 | 2 | 4 | 1 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 4 | 1 | 3 | 1 | 4 | 2 | 1 | 0 | 3 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 2 | 4 | 3 | 0 | 3 | 0 | 4 | 0 | 3 | 5 | 2 | 0 | 1 | 4 | 4 | 1 | 0 | 2 | 4 | 0 | 0 | 0 | 5 | 10 | 5 | 5 | 0 | 2 | 3 | 0 | 1 | 4 | 2 | 0 | 0 | 2 | 0 | 4 | 7 | 2 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 2 | 2 | 3 | 1 | 4 | 2 | 2 | 0 | 2 | 0 | 3 | 5 | 3 | 1 | 8 | 4 | 1 | 0 | 3 | 2 | 5 | 2 | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 6 | 1 | 0 | 0 | 1 | 6 | 4 | 0 | 1 | 3 | 1 | 3 | 4 | 3 | 4 | 4 | 4 | 1 | 4 | 0 | 0 | 0 | 1 | 3 | 2 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 3 | 0 | 0 | 3 | 7 | 1 | 0 | 5 | 0 | 0 | 0 | 2 | 1 | 3 | 1 | 3 | 3 | 1 | 2 | 1 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 4 | 4 | 12 | 3 | 4 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 4 | 2 | 0 | 1 | 1 | 2 | 2 | 7 | 3 | 2 | 10 | 0 | 1 | 4 | 0 | 2 | 6 | 0 | 0 | 6 | 2 | 4 | 0 | 0 | 0 | 1 | 3 | 2 | 2 | 4 | 2 | 2 | 3 | 2 | 0 | 1 | 0 | 0 | 4 | 2 | 4 | 1 | 1 | 3 | 1 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 2 | 0 | 1 | 1 | 6 | 1 | 2 | 0 | 1 | 0 | 3 | 0 | 1 | 3 | 0 | 1 | 0 | 5 | 1 | 2 | 2 | 2 | 0 | 2 | 3 | 1 | 2 | 0 | 6 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 4 | 1 | 8 | 3 | 2 | 0 | 0 | 2 | 2 | 0 | 1 | 3 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 2 | 1 | 0 | 2 | 1 | 1 | 2 | 1 | 2 | 0 | 1 | 10 | 0 | 3 | 2 | 1 | 2 | 1 | 1 | 3 | 0 | 0 | 2 | 1 | 3 | 0 | 0 | 1 | 4 | 0 | 2 | 0 | 5 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 4 | 1 | 3 | 3 | 3 | 0 | 1 | 4 | 2 | 0 | 5 | 3 | 2 | 0 | 5 | 7 | 3 | 1 | 4 | 3 | 3 | 1 | 2 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 5 | 4 | 0 | 2 | 2 | 5 | 1 |
30490 rows × 1947 columns
sales.info()
sales.describe()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 30490 entries, 0 to 30489 Columns: 1947 entries, id to d_1941 dtypes: int64(1941), object(6) memory usage: 452.9+ MB
d_1 | d_2 | d_3 | d_4 | d_5 | d_6 | d_7 | d_8 | d_9 | d_10 | d_11 | d_12 | d_13 | d_14 | d_15 | d_16 | d_17 | d_18 | d_19 | d_20 | d_21 | d_22 | d_23 | d_24 | d_25 | d_26 | d_27 | d_28 | d_29 | d_30 | d_31 | d_32 | d_33 | d_34 | d_35 | d_36 | d_37 | d_38 | d_39 | d_40 | d_41 | d_42 | d_43 | d_44 | d_45 | d_46 | d_47 | d_48 | d_49 | d_50 | d_51 | d_52 | d_53 | d_54 | d_55 | d_56 | d_57 | d_58 | d_59 | d_60 | d_61 | d_62 | d_63 | d_64 | d_65 | d_66 | d_67 | d_68 | d_69 | d_70 | d_71 | d_72 | d_73 | d_74 | d_75 | d_76 | d_77 | d_78 | d_79 | d_80 | d_81 | d_82 | d_83 | d_84 | d_85 | d_86 | d_87 | d_88 | d_89 | d_90 | d_91 | d_92 | d_93 | d_94 | d_95 | d_96 | d_97 | d_98 | d_99 | d_100 | d_101 | d_102 | d_103 | d_104 | d_105 | d_106 | d_107 | d_108 | d_109 | d_110 | d_111 | d_112 | d_113 | d_114 | d_115 | d_116 | d_117 | d_118 | d_119 | d_120 | d_121 | d_122 | d_123 | d_124 | d_125 | d_126 | d_127 | d_128 | d_129 | d_130 | d_131 | d_132 | d_133 | d_134 | d_135 | d_136 | d_137 | d_138 | d_139 | d_140 | d_141 | d_142 | d_143 | d_144 | d_145 | d_146 | d_147 | d_148 | d_149 | d_150 | d_151 | d_152 | d_153 | d_154 | d_155 | d_156 | d_157 | d_158 | d_159 | d_160 | d_161 | d_162 | d_163 | d_164 | d_165 | d_166 | d_167 | d_168 | d_169 | d_170 | d_171 | d_172 | d_173 | d_174 | d_175 | d_176 | d_177 | d_178 | d_179 | d_180 | d_181 | d_182 | d_183 | d_184 | d_185 | d_186 | d_187 | d_188 | d_189 | d_190 | d_191 | d_192 | d_193 | d_194 | d_195 | d_196 | d_197 | d_198 | d_199 | d_200 | d_201 | d_202 | d_203 | d_204 | d_205 | d_206 | d_207 | d_208 | d_209 | d_210 | d_211 | d_212 | d_213 | d_214 | d_215 | d_216 | d_217 | d_218 | d_219 | d_220 | d_221 | d_222 | d_223 | d_224 | d_225 | d_226 | d_227 | d_228 | d_229 | d_230 | d_231 | d_232 | d_233 | d_234 | d_235 | d_236 | d_237 | d_238 | d_239 | d_240 | d_241 | d_242 | d_243 | d_244 | d_245 | d_246 | d_247 | d_248 | d_249 | d_250 | d_251 | d_252 | d_253 | d_254 | d_255 | d_256 | d_257 | d_258 | d_259 | d_260 | d_261 | d_262 | d_263 | d_264 | d_265 | d_266 | d_267 | d_268 | d_269 | d_270 | d_271 | d_272 | d_273 | d_274 | d_275 | d_276 | d_277 | d_278 | d_279 | d_280 | d_281 | d_282 | d_283 | d_284 | d_285 | d_286 | d_287 | d_288 | d_289 | d_290 | d_291 | d_292 | d_293 | d_294 | d_295 | d_296 | d_297 | d_298 | d_299 | d_300 | d_301 | d_302 | d_303 | d_304 | d_305 | d_306 | d_307 | d_308 | d_309 | d_310 | d_311 | d_312 | d_313 | d_314 | d_315 | d_316 | d_317 | d_318 | d_319 | d_320 | d_321 | d_322 | d_323 | d_324 | d_325 | d_326 | d_327 | d_328 | d_329 | d_330 | d_331 | d_332 | d_333 | d_334 | d_335 | d_336 | d_337 | d_338 | d_339 | d_340 | d_341 | d_342 | d_343 | d_344 | d_345 | d_346 | d_347 | d_348 | d_349 | d_350 | d_351 | d_352 | d_353 | d_354 | d_355 | d_356 | d_357 | d_358 | d_359 | d_360 | d_361 | d_362 | d_363 | d_364 | d_365 | d_366 | d_367 | d_368 | d_369 | d_370 | d_371 | d_372 | d_373 | d_374 | d_375 | d_376 | d_377 | d_378 | d_379 | d_380 | d_381 | d_382 | d_383 | d_384 | d_385 | d_386 | d_387 | d_388 | d_389 | d_390 | d_391 | d_392 | d_393 | d_394 | d_395 | d_396 | d_397 | d_398 | d_399 | d_400 | d_401 | d_402 | d_403 | d_404 | d_405 | d_406 | d_407 | d_408 | d_409 | d_410 | d_411 | d_412 | d_413 | d_414 | d_415 | d_416 | d_417 | d_418 | d_419 | d_420 | d_421 | d_422 | d_423 | d_424 | d_425 | d_426 | d_427 | d_428 | d_429 | d_430 | d_431 | d_432 | d_433 | d_434 | d_435 | d_436 | d_437 | d_438 | d_439 | d_440 | d_441 | d_442 | d_443 | d_444 | d_445 | d_446 | d_447 | d_448 | d_449 | d_450 | d_451 | d_452 | d_453 | d_454 | d_455 | d_456 | d_457 | d_458 | d_459 | d_460 | d_461 | d_462 | d_463 | d_464 | d_465 | d_466 | d_467 | d_468 | d_469 | d_470 | d_471 | d_472 | d_473 | d_474 | d_475 | d_476 | d_477 | d_478 | d_479 | d_480 | d_481 | d_482 | d_483 | d_484 | d_485 | d_486 | d_487 | d_488 | d_489 | d_490 | d_491 | d_492 | d_493 | d_494 | d_495 | d_496 | d_497 | d_498 | d_499 | d_500 | d_501 | d_502 | d_503 | d_504 | d_505 | d_506 | d_507 | d_508 | d_509 | d_510 | d_511 | d_512 | d_513 | d_514 | d_515 | d_516 | d_517 | d_518 | d_519 | d_520 | d_521 | d_522 | d_523 | d_524 | d_525 | d_526 | d_527 | d_528 | d_529 | d_530 | d_531 | d_532 | d_533 | d_534 | d_535 | d_536 | d_537 | d_538 | d_539 | d_540 | d_541 | d_542 | d_543 | d_544 | d_545 | d_546 | d_547 | d_548 | d_549 | d_550 | d_551 | d_552 | d_553 | d_554 | d_555 | d_556 | d_557 | d_558 | d_559 | d_560 | d_561 | d_562 | d_563 | d_564 | d_565 | d_566 | d_567 | d_568 | d_569 | d_570 | d_571 | d_572 | d_573 | d_574 | d_575 | d_576 | d_577 | d_578 | d_579 | d_580 | d_581 | d_582 | d_583 | d_584 | d_585 | d_586 | d_587 | d_588 | d_589 | d_590 | d_591 | d_592 | d_593 | d_594 | d_595 | d_596 | d_597 | d_598 | d_599 | d_600 | d_601 | d_602 | d_603 | d_604 | d_605 | d_606 | d_607 | d_608 | d_609 | d_610 | d_611 | d_612 | d_613 | d_614 | d_615 | d_616 | d_617 | d_618 | d_619 | d_620 | d_621 | d_622 | d_623 | d_624 | d_625 | d_626 | d_627 | d_628 | d_629 | d_630 | d_631 | d_632 | d_633 | d_634 | d_635 | d_636 | d_637 | d_638 | d_639 | d_640 | d_641 | d_642 | d_643 | d_644 | d_645 | d_646 | d_647 | d_648 | d_649 | d_650 | d_651 | d_652 | d_653 | d_654 | d_655 | d_656 | d_657 | d_658 | d_659 | d_660 | d_661 | d_662 | d_663 | d_664 | d_665 | d_666 | d_667 | d_668 | d_669 | d_670 | d_671 | d_672 | d_673 | d_674 | d_675 | d_676 | d_677 | d_678 | d_679 | d_680 | d_681 | d_682 | d_683 | d_684 | d_685 | d_686 | d_687 | d_688 | d_689 | d_690 | d_691 | d_692 | d_693 | d_694 | d_695 | d_696 | d_697 | d_698 | d_699 | d_700 | d_701 | d_702 | d_703 | d_704 | d_705 | d_706 | d_707 | d_708 | d_709 | d_710 | d_711 | d_712 | d_713 | d_714 | d_715 | d_716 | d_717 | d_718 | d_719 | d_720 | d_721 | d_722 | d_723 | d_724 | d_725 | d_726 | d_727 | d_728 | d_729 | d_730 | d_731 | d_732 | d_733 | d_734 | d_735 | d_736 | d_737 | d_738 | d_739 | d_740 | d_741 | d_742 | d_743 | d_744 | d_745 | d_746 | d_747 | d_748 | d_749 | d_750 | d_751 | d_752 | d_753 | d_754 | d_755 | d_756 | d_757 | d_758 | d_759 | d_760 | d_761 | d_762 | d_763 | d_764 | d_765 | d_766 | d_767 | d_768 | d_769 | d_770 | d_771 | d_772 | d_773 | d_774 | d_775 | d_776 | d_777 | d_778 | d_779 | d_780 | d_781 | d_782 | d_783 | d_784 | d_785 | d_786 | d_787 | d_788 | d_789 | d_790 | d_791 | d_792 | d_793 | d_794 | d_795 | d_796 | d_797 | d_798 | d_799 | d_800 | d_801 | d_802 | d_803 | d_804 | d_805 | d_806 | d_807 | d_808 | d_809 | d_810 | d_811 | d_812 | d_813 | d_814 | d_815 | d_816 | d_817 | d_818 | d_819 | d_820 | d_821 | d_822 | d_823 | d_824 | d_825 | d_826 | d_827 | d_828 | d_829 | d_830 | d_831 | d_832 | d_833 | d_834 | d_835 | d_836 | d_837 | d_838 | d_839 | d_840 | d_841 | d_842 | d_843 | d_844 | d_845 | d_846 | d_847 | d_848 | d_849 | d_850 | d_851 | d_852 | d_853 | d_854 | d_855 | d_856 | d_857 | d_858 | d_859 | d_860 | d_861 | d_862 | d_863 | d_864 | d_865 | d_866 | d_867 | d_868 | d_869 | d_870 | d_871 | d_872 | d_873 | d_874 | d_875 | d_876 | d_877 | d_878 | d_879 | d_880 | d_881 | d_882 | d_883 | d_884 | d_885 | d_886 | d_887 | d_888 | d_889 | d_890 | d_891 | d_892 | d_893 | d_894 | d_895 | d_896 | d_897 | d_898 | d_899 | d_900 | d_901 | d_902 | d_903 | d_904 | d_905 | d_906 | d_907 | d_908 | d_909 | d_910 | d_911 | d_912 | d_913 | d_914 | d_915 | d_916 | d_917 | d_918 | d_919 | d_920 | d_921 | d_922 | d_923 | d_924 | d_925 | d_926 | d_927 | d_928 | d_929 | d_930 | d_931 | d_932 | d_933 | d_934 | d_935 | d_936 | d_937 | d_938 | d_939 | d_940 | d_941 | d_942 | d_943 | d_944 | d_945 | d_946 | d_947 | d_948 | d_949 | d_950 | d_951 | d_952 | d_953 | d_954 | d_955 | d_956 | d_957 | d_958 | d_959 | d_960 | d_961 | d_962 | d_963 | d_964 | d_965 | d_966 | d_967 | d_968 | d_969 | d_970 | d_971 | d_972 | d_973 | d_974 | d_975 | d_976 | d_977 | d_978 | d_979 | d_980 | d_981 | d_982 | d_983 | d_984 | d_985 | d_986 | d_987 | d_988 | d_989 | d_990 | d_991 | d_992 | d_993 | d_994 | d_995 | d_996 | d_997 | d_998 | d_999 | d_1000 | d_1001 | d_1002 | d_1003 | d_1004 | d_1005 | d_1006 | d_1007 | d_1008 | d_1009 | d_1010 | d_1011 | d_1012 | d_1013 | d_1014 | d_1015 | d_1016 | d_1017 | d_1018 | d_1019 | d_1020 | d_1021 | d_1022 | d_1023 | d_1024 | d_1025 | d_1026 | d_1027 | d_1028 | d_1029 | d_1030 | d_1031 | d_1032 | d_1033 | d_1034 | d_1035 | d_1036 | d_1037 | d_1038 | d_1039 | d_1040 | d_1041 | d_1042 | d_1043 | d_1044 | d_1045 | d_1046 | d_1047 | d_1048 | d_1049 | d_1050 | d_1051 | d_1052 | d_1053 | d_1054 | d_1055 | d_1056 | d_1057 | d_1058 | d_1059 | d_1060 | d_1061 | d_1062 | d_1063 | d_1064 | d_1065 | d_1066 | d_1067 | d_1068 | d_1069 | d_1070 | d_1071 | d_1072 | d_1073 | d_1074 | d_1075 | d_1076 | d_1077 | d_1078 | d_1079 | d_1080 | d_1081 | d_1082 | d_1083 | d_1084 | d_1085 | d_1086 | d_1087 | d_1088 | d_1089 | d_1090 | d_1091 | d_1092 | d_1093 | d_1094 | d_1095 | d_1096 | d_1097 | d_1098 | d_1099 | d_1100 | d_1101 | d_1102 | d_1103 | d_1104 | d_1105 | d_1106 | d_1107 | d_1108 | d_1109 | d_1110 | d_1111 | d_1112 | d_1113 | d_1114 | d_1115 | d_1116 | d_1117 | d_1118 | d_1119 | d_1120 | d_1121 | d_1122 | d_1123 | d_1124 | d_1125 | d_1126 | d_1127 | d_1128 | d_1129 | d_1130 | d_1131 | d_1132 | d_1133 | d_1134 | d_1135 | d_1136 | d_1137 | d_1138 | d_1139 | d_1140 | d_1141 | d_1142 | d_1143 | d_1144 | d_1145 | d_1146 | d_1147 | d_1148 | d_1149 | d_1150 | d_1151 | d_1152 | d_1153 | d_1154 | d_1155 | d_1156 | d_1157 | d_1158 | d_1159 | d_1160 | d_1161 | d_1162 | d_1163 | d_1164 | d_1165 | d_1166 | d_1167 | d_1168 | d_1169 | d_1170 | d_1171 | d_1172 | d_1173 | d_1174 | d_1175 | d_1176 | d_1177 | d_1178 | d_1179 | d_1180 | d_1181 | d_1182 | d_1183 | d_1184 | d_1185 | d_1186 | d_1187 | d_1188 | d_1189 | d_1190 | d_1191 | d_1192 | d_1193 | d_1194 | d_1195 | d_1196 | d_1197 | d_1198 | d_1199 | d_1200 | d_1201 | d_1202 | d_1203 | d_1204 | d_1205 | d_1206 | d_1207 | d_1208 | d_1209 | d_1210 | d_1211 | d_1212 | d_1213 | d_1214 | d_1215 | d_1216 | d_1217 | d_1218 | d_1219 | d_1220 | d_1221 | d_1222 | d_1223 | d_1224 | d_1225 | d_1226 | d_1227 | d_1228 | d_1229 | d_1230 | d_1231 | d_1232 | d_1233 | d_1234 | d_1235 | d_1236 | d_1237 | d_1238 | d_1239 | d_1240 | d_1241 | d_1242 | d_1243 | d_1244 | d_1245 | d_1246 | d_1247 | d_1248 | d_1249 | d_1250 | d_1251 | d_1252 | d_1253 | d_1254 | d_1255 | d_1256 | d_1257 | d_1258 | d_1259 | d_1260 | d_1261 | d_1262 | d_1263 | d_1264 | d_1265 | d_1266 | d_1267 | d_1268 | d_1269 | d_1270 | d_1271 | d_1272 | d_1273 | d_1274 | d_1275 | d_1276 | d_1277 | d_1278 | d_1279 | d_1280 | d_1281 | d_1282 | d_1283 | d_1284 | d_1285 | d_1286 | d_1287 | d_1288 | d_1289 | d_1290 | d_1291 | d_1292 | d_1293 | d_1294 | d_1295 | d_1296 | d_1297 | d_1298 | d_1299 | d_1300 | d_1301 | d_1302 | d_1303 | d_1304 | d_1305 | d_1306 | d_1307 | d_1308 | d_1309 | d_1310 | d_1311 | d_1312 | d_1313 | d_1314 | d_1315 | d_1316 | d_1317 | d_1318 | d_1319 | d_1320 | d_1321 | d_1322 | d_1323 | d_1324 | d_1325 | d_1326 | d_1327 | d_1328 | d_1329 | d_1330 | d_1331 | d_1332 | d_1333 | d_1334 | d_1335 | d_1336 | d_1337 | d_1338 | d_1339 | d_1340 | d_1341 | d_1342 | d_1343 | d_1344 | d_1345 | d_1346 | d_1347 | d_1348 | d_1349 | d_1350 | d_1351 | d_1352 | d_1353 | d_1354 | d_1355 | d_1356 | d_1357 | d_1358 | d_1359 | d_1360 | d_1361 | d_1362 | d_1363 | d_1364 | d_1365 | d_1366 | d_1367 | d_1368 | d_1369 | d_1370 | d_1371 | d_1372 | d_1373 | d_1374 | d_1375 | d_1376 | d_1377 | d_1378 | d_1379 | d_1380 | d_1381 | d_1382 | d_1383 | d_1384 | d_1385 | d_1386 | d_1387 | d_1388 | d_1389 | d_1390 | d_1391 | d_1392 | d_1393 | d_1394 | d_1395 | d_1396 | d_1397 | d_1398 | d_1399 | d_1400 | d_1401 | d_1402 | d_1403 | d_1404 | d_1405 | d_1406 | d_1407 | d_1408 | d_1409 | d_1410 | d_1411 | d_1412 | d_1413 | d_1414 | d_1415 | d_1416 | d_1417 | d_1418 | d_1419 | d_1420 | d_1421 | d_1422 | d_1423 | d_1424 | d_1425 | d_1426 | d_1427 | d_1428 | d_1429 | d_1430 | d_1431 | d_1432 | d_1433 | d_1434 | d_1435 | d_1436 | d_1437 | d_1438 | d_1439 | d_1440 | d_1441 | d_1442 | d_1443 | d_1444 | d_1445 | d_1446 | d_1447 | d_1448 | d_1449 | d_1450 | d_1451 | d_1452 | d_1453 | d_1454 | d_1455 | d_1456 | d_1457 | d_1458 | d_1459 | d_1460 | d_1461 | d_1462 | d_1463 | d_1464 | d_1465 | d_1466 | d_1467 | d_1468 | d_1469 | d_1470 | d_1471 | d_1472 | d_1473 | d_1474 | d_1475 | d_1476 | d_1477 | d_1478 | d_1479 | d_1480 | d_1481 | d_1482 | d_1483 | d_1484 | d_1485 | d_1486 | d_1487 | d_1488 | d_1489 | d_1490 | d_1491 | d_1492 | d_1493 | d_1494 | d_1495 | d_1496 | d_1497 | d_1498 | d_1499 | d_1500 | d_1501 | d_1502 | d_1503 | d_1504 | d_1505 | d_1506 | d_1507 | d_1508 | d_1509 | d_1510 | d_1511 | d_1512 | d_1513 | d_1514 | d_1515 | d_1516 | d_1517 | d_1518 | d_1519 | d_1520 | d_1521 | d_1522 | d_1523 | d_1524 | d_1525 | d_1526 | d_1527 | d_1528 | d_1529 | d_1530 | d_1531 | d_1532 | d_1533 | d_1534 | d_1535 | d_1536 | d_1537 | d_1538 | d_1539 | d_1540 | d_1541 | d_1542 | d_1543 | d_1544 | d_1545 | d_1546 | d_1547 | d_1548 | d_1549 | d_1550 | d_1551 | d_1552 | d_1553 | d_1554 | d_1555 | d_1556 | d_1557 | d_1558 | d_1559 | d_1560 | d_1561 | d_1562 | d_1563 | d_1564 | d_1565 | d_1566 | d_1567 | d_1568 | d_1569 | d_1570 | d_1571 | d_1572 | d_1573 | d_1574 | d_1575 | d_1576 | d_1577 | d_1578 | d_1579 | d_1580 | d_1581 | d_1582 | d_1583 | d_1584 | d_1585 | d_1586 | d_1587 | d_1588 | d_1589 | d_1590 | d_1591 | d_1592 | d_1593 | d_1594 | d_1595 | d_1596 | d_1597 | d_1598 | d_1599 | d_1600 | d_1601 | d_1602 | d_1603 | d_1604 | d_1605 | d_1606 | d_1607 | d_1608 | d_1609 | d_1610 | d_1611 | d_1612 | d_1613 | d_1614 | d_1615 | d_1616 | d_1617 | d_1618 | d_1619 | d_1620 | d_1621 | d_1622 | d_1623 | d_1624 | d_1625 | d_1626 | d_1627 | d_1628 | d_1629 | d_1630 | d_1631 | d_1632 | d_1633 | d_1634 | d_1635 | d_1636 | d_1637 | d_1638 | d_1639 | d_1640 | d_1641 | d_1642 | d_1643 | d_1644 | d_1645 | d_1646 | d_1647 | d_1648 | d_1649 | d_1650 | d_1651 | d_1652 | d_1653 | d_1654 | d_1655 | d_1656 | d_1657 | d_1658 | d_1659 | d_1660 | d_1661 | d_1662 | d_1663 | d_1664 | d_1665 | d_1666 | d_1667 | d_1668 | d_1669 | d_1670 | d_1671 | d_1672 | d_1673 | d_1674 | d_1675 | d_1676 | d_1677 | d_1678 | d_1679 | d_1680 | d_1681 | d_1682 | d_1683 | d_1684 | d_1685 | d_1686 | d_1687 | d_1688 | d_1689 | d_1690 | d_1691 | d_1692 | d_1693 | d_1694 | d_1695 | d_1696 | d_1697 | d_1698 | d_1699 | d_1700 | d_1701 | d_1702 | d_1703 | d_1704 | d_1705 | d_1706 | d_1707 | d_1708 | d_1709 | d_1710 | d_1711 | d_1712 | d_1713 | d_1714 | d_1715 | d_1716 | d_1717 | d_1718 | d_1719 | d_1720 | d_1721 | d_1722 | d_1723 | d_1724 | d_1725 | d_1726 | d_1727 | d_1728 | d_1729 | d_1730 | d_1731 | d_1732 | d_1733 | d_1734 | d_1735 | d_1736 | d_1737 | d_1738 | d_1739 | d_1740 | d_1741 | d_1742 | d_1743 | d_1744 | d_1745 | d_1746 | d_1747 | d_1748 | d_1749 | d_1750 | d_1751 | d_1752 | d_1753 | d_1754 | d_1755 | d_1756 | d_1757 | d_1758 | d_1759 | d_1760 | d_1761 | d_1762 | d_1763 | d_1764 | d_1765 | d_1766 | d_1767 | d_1768 | d_1769 | d_1770 | d_1771 | d_1772 | d_1773 | d_1774 | d_1775 | d_1776 | d_1777 | d_1778 | d_1779 | d_1780 | d_1781 | d_1782 | d_1783 | d_1784 | d_1785 | d_1786 | d_1787 | d_1788 | d_1789 | d_1790 | d_1791 | d_1792 | d_1793 | d_1794 | d_1795 | d_1796 | d_1797 | d_1798 | d_1799 | d_1800 | d_1801 | d_1802 | d_1803 | d_1804 | d_1805 | d_1806 | d_1807 | d_1808 | d_1809 | d_1810 | d_1811 | d_1812 | d_1813 | d_1814 | d_1815 | d_1816 | d_1817 | d_1818 | d_1819 | d_1820 | d_1821 | d_1822 | d_1823 | d_1824 | d_1825 | d_1826 | d_1827 | d_1828 | d_1829 | d_1830 | d_1831 | d_1832 | d_1833 | d_1834 | d_1835 | d_1836 | d_1837 | d_1838 | d_1839 | d_1840 | d_1841 | d_1842 | d_1843 | d_1844 | d_1845 | d_1846 | d_1847 | d_1848 | d_1849 | d_1850 | d_1851 | d_1852 | d_1853 | d_1854 | d_1855 | d_1856 | d_1857 | d_1858 | d_1859 | d_1860 | d_1861 | d_1862 | d_1863 | d_1864 | d_1865 | d_1866 | d_1867 | d_1868 | d_1869 | d_1870 | d_1871 | d_1872 | d_1873 | d_1874 | d_1875 | d_1876 | d_1877 | d_1878 | d_1879 | d_1880 | d_1881 | d_1882 | d_1883 | d_1884 | d_1885 | d_1886 | d_1887 | d_1888 | d_1889 | d_1890 | d_1891 | d_1892 | d_1893 | d_1894 | d_1895 | d_1896 | d_1897 | d_1898 | d_1899 | d_1900 | d_1901 | d_1902 | d_1903 | d_1904 | d_1905 | d_1906 | d_1907 | d_1908 | d_1909 | d_1910 | d_1911 | d_1912 | d_1913 | d_1914 | d_1915 | d_1916 | d_1917 | d_1918 | d_1919 | d_1920 | d_1921 | d_1922 | d_1923 | d_1924 | d_1925 | d_1926 | d_1927 | d_1928 | d_1929 | d_1930 | d_1931 | d_1932 | d_1933 | d_1934 | d_1935 | d_1936 | d_1937 | d_1938 | d_1939 | d_1940 | d_1941 |
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30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.00000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.00000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.00000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.00000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.00000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 | 30490.000000 |
mean | 1.070220 | 1.041292 | 0.780026 | 0.833454 | 0.627944 | 0.958052 | 0.918662 | 1.244080 | 1.073663 | 0.838701 | 0.756674 | 0.775927 | 0.779141 | 0.867334 | 1.142440 | 1.193178 | 0.715120 | 0.789439 | 0.703280 | 0.666382 | 0.777993 | 1.039324 | 0.960413 | 0.786028 | 0.672384 | 0.680781 | 0.665038 | 0.738898 | 0.980912 | 0.941522 | 0.696622 | 0.750148 | 0.723057 | 0.769925 | 0.773106 | 1.023352 | 1.143850 | 0.805576 | 0.746212 | 0.739915 | 0.742079 | 0.838701 | 1.056904 | 1.030403 | 0.817809 | 0.787832 | 0.746638 | 0.714300 | 0.782388 | 1.003575 | 0.972220 | 0.757658 | 0.672089 | 0.630699 | 0.618367 | 0.765825 | 0.971466 | 0.979534 | 0.703477 | 0.642211 | 0.620794 | 0.713086 | 0.928468 | 1.097999 | 1.084224 | 0.815087 | 0.773401 | 0.743063 | 0.751099 | 0.811873 | 1.041161 | 1.034306 | 0.814333 | 0.761496 | 0.708790 | 0.720367 | 0.835749 | 0.958806 | 0.976943 | 0.734306 | 0.638701 | 0.662119 | 0.648344 | 0.796294 | 0.969990 | 0.787734 | 0.656084 | 0.594064 | 0.588029 | 0.595113 | 0.745654 | 0.921646 | 0.952607 | 0.749000 | 0.789767 | 0.680912 | 0.694785 | 0.803083 | 0.931847 | 0.776910 | 0.820728 | 0.729124 | 0.726960 | 0.735093 | 0.841194 | 0.942473 | 1.027222 | 0.728534 | 0.643260 | 0.615612 | 0.612791 | 0.710036 | 0.889210 | 0.860807 | 0.687242 | 0.629813 | 0.625057 | 0.671696 | 0.737324 | 0.837225 | 0.769072 | 0.739193 | 0.641358 | 0.759757 | 0.743883 | 0.878354 | 0.994096 | 1.036537 | 0.875205 | 0.822860 | 0.802001 | 0.812791 | 0.866481 | 0.981961 | 1.019810 | 0.844605 | 0.792227 | 0.828403 | 0.744703 | 0.810495 | 0.945392 | 0.856215 | 0.795704 | 0.715316 | 0.701902 | 0.747130 | 0.808068 | 0.868547 | 0.907445 | 0.742604 | 0.649393 | 0.653657 | 0.703542 | 1.017809 | 1.082355 | 0.956806 | 0.755428 | 0.872286 | 0.872483 | 0.876582 | 0.907806 | 1.065464 | 1.034405 | 0.872155 | 0.807871 | 0.768941 | 0.769006 | 0.896983 | 1.012430 | 0.994884 | 0.808101 | 0.719285 | 0.737520 | 0.747065 | 0.864415 | 0.993244 | 0.944539 | 0.750902 | 0.695146 | 0.672483 | 0.69672 | 0.804920 | 0.949590 | 0.940538 | 0.872647 | 0.835520 | 0.893309 | 0.777730 | 0.872220 | 1.048180 | 1.049721 | 0.864349 | 0.859724 | 0.80610 | 0.810364 | 0.936176 | 1.082420 | 1.112135 | 0.935093 | 0.828665 | 0.776681 | 0.766678 | 0.885667 | 1.057986 | 1.114234 | 0.830567 | 0.741784 | 0.719416 | 0.702329 | 0.795933 | 0.996491 | 1.004460 | 0.724336 | 0.667432 | 0.712463 | 0.862545 | 0.957953 | 1.116169 | 0.883076 | 0.989111 | 0.857133 | 0.801738 | 0.788718 | 0.926402 | 1.083306 | 1.135848 | 0.857265 | 0.808298 | 0.770908 | 0.863988 | 0.883339 | 1.055920 | 1.050640 | 0.799180 | 0.743686 | 0.714857 | 0.716924 | 0.875894 | 1.064808 | 1.089800 | 0.790095 | 0.747393 | 0.727878 | 0.734110 | 0.989898 | 1.289341 | 1.220531 | 0.998852 | 0.856478 | 0.849885 | 0.854903 | 0.983437 | 1.178419 | 1.178747 | 0.964283 | 0.899541 | 0.899114 | 0.856543 | 0.980157 | 1.260282 | 1.184880 | 0.904952 | 0.793768 | 0.736012 | 0.734733 | 0.889800 | 1.087275 | 1.078255 | 0.804067 | 0.735881 | 0.726205 | 0.753755 | 0.881601 | 1.089505 | 1.044703 | 0.744342 | 0.854018 | 0.813644 | 0.915120 | 0.937881 | 1.209806 | 1.242604 | 0.894654 | 0.826107 | 0.855756 | 0.857560 | 0.975894 | 1.178157 | 1.159331 | 0.878091 | 0.875730 | 0.784782 | 0.758085 | 0.869367 | 1.100197 | 1.074221 | 0.838767 | 0.841391 | 1.009741 | 0.604362 | 0.787078 | 0.829518 | 0.889931 | 0.733946 | 0.707904 | 0.691669 | 0.861528 | 0.974975 | 1.250541 | 1.150476 | 0.958347 | 0.894293 | 0.834798 | 0.864119 | 0.965497 | 1.140899 | 1.172286 | 0.956084 | 0.882683 | 0.878780 | 0.972253 | 0.947360 | 1.120335 | 1.052378 | 0.887766 | 0.861332 | 0.874451 | 0.924303 | 1.136307 | 0.982552 | 0.000426 | 0.919383 | 0.808495 | 0.813086 | 0.804887 | 1.103706 | 1.106953 | 0.715218 | 1.084060 | 0.942965 | 0.846868 | 0.934700 | 0.997212 | 1.218203 | 1.204395 | 0.925090 | 0.873729 | 0.952575 | 0.810594 | 0.966317 | 1.207445 | 1.195769 | 1.001902 | 0.727681 | 0.831355 | 0.788258 | 0.892227 | 1.265267 | 1.068777 | 0.810167 | 0.772352 | 0.734929 | 0.762119 | 0.892063 | 1.126992 | 1.101246 | 0.826107 | 0.824008 | 0.979042 | 0.938504 | 1.151328 | 1.411250 | 1.314365 | 1.006264 | 0.921876 | 0.937324 | 0.981535 | 0.979436 | 1.369531 | 1.374352 | 1.038865 | 0.823221 | 0.881535 | 0.826337 | 0.905346 | 1.201115 | 1.191801 | 0.991079 | 0.826173 | 0.790915 | 0.826861 | 0.914070 | 1.173139 | 1.189931 | 0.894392 | 0.798918 | 0.813447 | 0.991538 | 1.067334 | 1.355166 | 1.322565 | 1.072581 | 1.034175 | 0.938275 | 0.976025 | 1.060085 | 1.297442 | 1.331978 | 1.065956 | 0.954411 | 0.913119 | 1.008593 | 1.015120 | 1.243162 | 1.236274 | 0.957265 | 0.837422 | 0.860184 | 0.853231 | 0.952935 | 1.216432 | 1.241161 | 0.891505 | 0.808429 | 0.812824 | 0.783175 | 1.007937 | 1.261496 | 1.304788 | 1.028501 | 1.083404 | 0.928764 | 1.028796 | 1.231387 | 1.496819 | 1.187602 | 1.049295 | 0.944572 | 0.969990 | 0.936963 | 1.047491 | 1.264218 | 1.269498 | 0.907576 | 0.854936 | 0.810069 | 0.814169 | 0.923024 | 1.203936 | 1.205772 | 0.874713 | 0.814956 | 0.801837 | 0.804526 | 0.950377 | 1.169137 | 1.184782 | 0.897212 | 0.993440 | 0.95897 | 1.080977 | 1.080092 | 1.285700 | 1.362053 | 1.097967 | 0.998131 | 0.990620 | 0.923713 | 1.076222 | 1.340505 | 1.107543 | 1.035848 | 1.041587 | 0.940538 | 0.89613 | 1.059724 | 1.243982 | 1.295966 | 0.944736 | 0.902001 | 0.873172 | 0.91712 | 1.075664 | 1.221351 | 1.110298 | 1.095671 | 0.938668 | 0.890456 | 0.944867 | 1.296458 | 1.474024 | 1.440144 | 1.091965 | 1.115316 | 1.101574 | 1.067071 | 1.210266 | 1.420433 | 1.474057 | 1.299967 | 1.150344 | 1.080026 | 1.107970 | 1.370876 | 1.457461 | 1.280387 | 1.118399 | 1.048442 | 1.032076 | 1.008987 | 1.196359 | 1.312234 | 1.328600 | 1.044506 | 0.963299 | 0.947360 | 0.970318 | 1.193080 | 1.331387 | 1.334831 | 1.176222 | 1.296884 | 1.071040 | 1.128501 | 1.311610 | 1.358839 | 1.399541 | 1.173172 | 1.068777 | 1.084684 | 1.084847 | 1.199803 | 1.388914 | 1.432896 | 1.082978 | 0.997639 | 0.948377 | 1.012266 | 1.161102 | 1.296950 | 1.310331 | 1.012266 | 0.966842 | 0.929944 | 0.935979 | 1.044277 | 1.134405 | 1.185536 | 0.948934 | 0.968547 | 1.114136 | 1.156445 | 1.295867 | 1.353755 | 1.410594 | 1.214300 | 1.062447 | 1.059397 | 1.148180 | 1.195966 | 1.445753 | 1.502066 | 1.181699 | 1.125353 | 1.164218 | 1.128403 | 1.162906 | 1.361791 | 1.422237 | 1.062971 | 0.990685 | 0.948573 | 0.936438 | 1.083765 | 1.310725 | 1.345392 | 1.017055 | 0.933814 | 0.888849 | 0.928272 | 1.216530 | 1.463759 | 1.404362 | 1.460315 | 1.045556 | 1.044736 | 1.068383 | 1.140538 | 1.417448 | 1.529977 | 1.081404 | 1.061660 | 1.017317 | 0.988586 | 1.192489 | 1.507347 | 1.452476 | 1.044933 | 0.960184 | 0.887668 | 0.936602 | 1.103116 | 1.373860 | 1.356576 | 0.956904 | 0.917645 | 0.883306 | 0.893112 | 1.071040 | 1.344080 | 1.303247 | 1.142703 | 1.109544 | 1.122335 | 0.986389 | 1.134405 | 1.444408 | 1.373303 | 1.108232 | 1.059200 | 0.982912 | 0.983864 | 1.149623 | 1.384913 | 1.385274 | 1.104756 | 0.914037 | 0.888914 | 0.858281 | 0.974451 | 1.203313 | 1.213086 | 0.876091 | 0.833683 | 0.799934 | 0.797376 | 1.045031 | 1.264251 | 1.219547 | 0.904592 | 0.920958 | 0.819121 | 1.018399 | 1.164775 | 1.478485 | 1.395376 | 1.084192 | 1.000787 | 0.973532 | 1.008757 | 1.171597 | 1.406494 | 1.427255 | 1.089308 | 0.928436 | 0.912922 | 0.974516 | 1.036930 | 1.326369 | 1.232404 | 0.961955 | 0.992916 | 1.154739 | 0.718563 | 0.768219 | 0.984454 | 1.073532 | 0.868350 | 0.803181 | 0.772220 | 0.782814 | 0.996687 | 1.393768 | 1.342735 | 1.158970 | 0.945195 | 1.022762 | 1.020794 | 1.101804 | 1.363496 | 1.394752 | 1.019646 | 0.993703 | 0.984454 | 0.940341 | 1.079108 | 1.390292 | 1.313644 | 1.017547 | 0.992260 | 1.042375 | 1.012529 | 1.077337 | 1.312398 | 1.278682 | 1.069957 | 0.000361 | 0.974123 | 0.953952 | 1.060905 | 1.218563 | 1.170843 | 1.149098 | 0.789997 | 1.055559 | 1.188619 | 1.106658 | 1.419711 | 1.442899 | 1.099278 | 1.023942 | 0.968580 | 0.977140 | 1.130731 | 1.504690 | 1.318695 | 1.004067 | 1.013480 | 0.944638 | 0.930469 | 1.076156 | 1.386258 | 1.214857 | 1.013021 | 0.838176 | 0.839423 | 0.818859 | 0.979075 | 1.334634 | 1.260315 | 0.911643 | 0.837947 | 0.771499 | 0.877370 | 1.281601 | 1.673729 | 1.363004 | 0.950869 | 1.037488 | 1.047458 | 0.974057 | 1.165825 | 1.503837 | 1.440144 | 1.200951 | 1.185339 | 1.264382 | 0.990784 | 1.254838 | 1.481043 | 1.464513 | 1.136045 | 0.926468 | 0.990521 | 1.030108 | 1.067990 | 1.411315 | 1.447753 | 1.050180 | 0.896294 | 0.914529 | 0.996195 | 1.293900 | 1.632404 | 1.582388 | 1.174713 | 1.024467 | 1.050443 | 0.976386 | 1.124697 | 1.472253 | 1.446638 | 1.195080 | 1.108298 | 1.043227 | 1.087799 | 1.229944 | 1.431683 | 1.396195 | 1.028698 | 0.951525 | 0.966087 | 0.972188 | 1.087832 | 1.332240 | 1.332666 | 0.973008 | 0.939062 | 0.926796 | 0.972581 | 1.248508 | 1.522138 | 1.129813 | 1.132240 | 1.136176 | 1.167399 | 1.055231 | 1.248147 | 1.535618 | 1.523254 | 1.148475 | 1.106920 | 1.031191 | 1.072220 | 1.183404 | 1.431453 | 1.442768 | 1.118465 | 1.018006 | 0.945064 | 0.933880 | 1.076714 | 1.340013 | 1.309643 | 0.982322 | 0.887471 | 0.905444 | 0.901148 | 1.023483 | 1.158708 | 1.275894 | 0.900131 | 0.923057 | 1.028468 | 1.041030 | 1.211873 | 1.338537 | 1.416956 | 1.159987 | 1.038800 | 1.028075 | 1.080289 | 1.098622 | 1.488521 | 1.226304 | 1.135093 | 1.078550 | 1.135159 | 1.047458 | 1.137488 | 1.339128 | 1.399574 | 1.103509 | 0.993309 | 0.949000 | 1.013513 | 1.150574 | 1.283798 | 1.182322 | 1.189800 | 0.960905 | 0.884454 | 0.922434 | 1.183536 | 1.469597 | 1.557953 | 1.287143 | 1.108855 | 1.177796 | 1.120564 | 1.233257 | 1.464316 | 1.579665 | 1.205936 | 1.135618 | 1.113217 | 1.121286 | 1.304264 | 1.518826 | 1.301738 | 1.118990 | 1.022532 | 1.019023 | 1.042014 | 1.203772 | 1.386553 | 1.419318 | 1.118990 | 1.036504 | 0.995605 | 1.031715 | 1.205412 | 1.474221 | 1.470089 | 1.269793 | 1.221450 | 1.443063 | 1.206396 | 1.338373 | 1.371991 | 1.463562 | 1.228600 | 1.221810 | 1.134110 | 1.192555 | 1.353854 | 1.481961 | 1.530731 | 1.233978 | 1.113053 | 1.064841 | 1.112529 | 1.187078 | 1.361988 | 1.378780 | 1.056182 | 1.026697 | 1.032076 | 1.043490 | 1.208363 | 1.366743 | 1.327648 | 1.041751 | 0.989242 | 1.025090 | 1.223647 | 1.366448 | 1.544933 | 1.457494 | 1.283995 | 1.203477 | 1.150508 | 1.144178 | 1.334831 | 1.473008 | 1.558544 | 1.271007 | 1.152640 | 1.106330 | 1.234602 | 1.247130 | 1.457232 | 1.472417 | 1.155690 | 1.037225 | 1.070285 | 1.042735 | 1.217219 | 1.470515 | 1.593211 | 1.121679 | 1.081109 | 1.064480 | 1.040013 | 1.365071 | 1.573368 | 1.467399 | 1.543850 | 1.239718 | 1.093080 | 1.161856 | 1.268744 | 1.561168 | 1.696950 | 1.304198 | 1.136865 | 1.187111 | 1.205871 | 1.343752 | 1.612529 | 1.671696 | 1.206133 | 1.068252 | 1.025943 | 1.010922 | 1.189931 | 1.508724 | 1.515579 | 1.075238 | 1.018826 | 0.982584 | 1.005182 | 1.164382 | 1.457560 | 1.456084 | 1.078813 | 1.204657 | 1.111840 | 1.220564 | 1.224467 | 1.599770 | 1.636209 | 1.213611 | 1.132962 | 1.139587 | 1.115743 | 1.249360 | 1.527747 | 1.519941 | 1.208134 | 1.089308 | 1.071728 | 1.001574 | 1.126173 | 1.378911 | 1.421843 | 1.044900 | 0.949721 | 0.968350 | 0.959659 | 1.111086 | 1.392391 | 1.333716 | 1.051427 | 0.968481 | 1.021187 | 0.886651 | 1.302952 | 1.544539 | 1.586520 | 1.081404 | 1.117973 | 1.083306 | 1.047983 | 1.163004 | 1.49941 | 1.439980 | 1.193703 | 1.058544 | 0.959495 | 0.966481 | 1.173336 | 1.462348 | 1.396819 | 1.053132 | 0.935454 | 0.915546 | 0.941259 | 1.077829 | 1.313447 | 1.260938 | 0.939488 | 1.026337 | 1.185274 | 0.650672 | 0.855133 | 1.034634 | 1.252443 | 1.216366 | 1.247097 | 1.033749 | 1.15287 | 1.210200 | 1.457855 | 1.325812 | 1.103739 | 1.030567 | 1.013808 | 1.038668 | 1.186061 | 1.362020 | 1.413480 | 1.065071 | 0.995015 | 1.039423 | 1.063004 | 1.053559 | 1.327452 | 1.145130 | 1.157396 | 1.019252 | 0.000656 | 1.073368 | 1.085438 | 1.196786 | 1.119088 | 1.059134 | 1.141719 | 0.782060 | 1.070941 | 1.274844 | 1.463299 | 1.485799 | 1.063037 | 1.015153 | 1.081437 | 1.088783 | 1.074647 | 1.567662 | 1.536832 | 1.105740 | 0.991243 | 1.035717 | 1.022958 | 1.155789 | 1.417940 | 1.325910 | 1.072680 | 0.913545 | 0.924795 | 0.860741 | 1.013053 | 1.329255 | 1.318367 | 0.985897 | 0.787143 | 0.819383 | 0.886094 | 1.196753 | 1.486815 | 1.439718 | 1.223155 | 1.002853 | 1.038898 | 1.062283 | 1.123483 | 1.545031 | 1.575599 | 1.087143 | 1.099803 | 1.204920 | 1.229354 | 1.112168 | 1.474746 | 1.437586 | 1.133388 | 1.007215 | 0.997409 | 0.974188 | 1.093014 | 1.360708 | 1.457101 | 1.042867 | 0.974910 | 0.864251 | 0.947524 | 1.121614 | 1.492161 | 1.534175 | 1.220105 | 0.986094 | 1.025845 | 1.071236 | 1.143457 | 1.426205 | 1.642834 | 1.230108 | 1.133716 | 1.146015 | 1.085077 | 1.211742 | 1.466317 | 1.488226 | 1.052279 | 0.987045 | 0.963726 | 0.944867 | 1.088947 | 1.359167 | 1.448704 | 1.044375 | 0.933618 | 0.885995 | 0.990817 | 1.079633 | 1.351033 | 1.415415 | 1.005969 | 1.105543 | 1.105248 | 1.200525 | 1.170384 | 1.534142 | 1.600197 | 1.200197 | 1.156051 | 1.154772 | 1.083568 | 1.260708 | 1.513775 | 1.511414 | 1.172548 | 1.193703 | 1.122598 | 1.088652 | 1.275992 | 1.568350 | 1.276943 | 1.037258 | 1.006166 | 0.998262 | 1.009905 | 1.096327 | 1.389866 | 1.424729 | 1.033388 | 0.979501 | 0.947294 | 1.110495 | 1.277501 | 1.526468 | 1.480453 | 1.174811 | 1.102361 | 1.054313 | 1.043588 | 1.192621 | 1.405149 | 1.252214 | 1.243752 | 1.110003 | 1.076320 | 1.099442 | 1.134438 | 1.312529 | 1.410954 | 1.059823 | 0.981502 | 0.953854 | 0.996589 | 1.096261 | 1.258970 | 1.179567 | 1.097376 | 0.948245 | 0.921909 | 0.908134 | 1.106592 | 1.334602 | 1.462840 | 1.223745 | 1.258019 | 1.079010 | 1.16940 | 1.228501 | 1.454477 | 1.485044 | 1.254706 | 1.103903 | 1.136241 | 1.150443 | 1.257986 | 1.475369 | 1.393703 | 1.154575 | 1.100098 | 1.058347 | 1.086258 | 1.246179 | 1.391276 | 1.392588 | 1.087504 | 1.004952 | 0.945261 | 0.962807 | 1.117678 | 1.309610 | 1.318826 | 1.097048 | 1.237750 | 1.242014 | 1.542407 | 1.265759 | 1.337553 | 1.491965 | 1.234339 | 1.195408 | 1.220531 | 1.153788 | 1.320203 | 1.564316 | 1.432437 | 1.189931 | 1.174647 | 1.082683 | 1.063627 | 1.195441 | 1.393244 | 1.400098 | 1.097114 | 1.033519 | 1.014726 | 1.001148 | 1.110134 | 1.279370 | 1.384520 | 1.070253 | 1.007051 | 0.994884 | 1.044277 | 1.414529 | 1.541850 | 1.560249 | 1.174123 | 1.188521 | 1.133060 | 1.134044 | 1.278452 | 1.484356 | 1.418465 | 1.184716 | 1.202755 | 1.128862 | 1.132699 | 1.254772 | 1.461299 | 1.530764 | 1.160348 | 1.048180 | 1.044506 | 1.062611 | 1.217317 | 1.465169 | 1.556018 | 1.136996 | 1.029911 | 0.967727 | 0.983142 | 1.236241 | 1.418071 | 1.285995 | 1.418695 | 1.124926 | 1.226533 | 1.032568 | 1.179600 | 1.509249 | 1.507150 | 1.166940 | 1.120597 | 1.042703 | 1.130863 | 1.258085 | 1.560479 | 1.500394 | 1.199049 | 1.017940 | 0.978386 | 0.946573 | 1.142407 | 1.411348 | 1.456281 | 1.033454 | 0.964579 | 0.951164 | 0.967891 | 1.086487 | 1.339423 | 1.407806 | 1.032240 | 0.983601 | 1.134864 | 1.123286 | 1.372122 | 1.548016 | 1.586127 | 1.237094 | 1.087275 | 1.088390 | 1.106527 | 1.147950 | 1.461496 | 1.532798 | 1.100590 | 1.064316 | 1.12145 | 0.981830 | 1.096425 | 1.435061 | 1.425254 | 1.057166 | 0.963168 | 0.915907 | 0.934929 | 1.075435 | 1.336602 | 1.318367 | 1.023385 | 0.929485 | 0.904001 | 0.991637 | 1.077402 | 1.451263 | 1.511053 | 1.264808 | 1.047950 | 1.011217 | 1.089636 | 1.140144 | 1.451951 | 1.555100 | 1.129846 | 1.068809 | 1.000000 | 0.941653 | 1.139357 | 1.455658 | 1.427222 | 1.043326 | 0.918793 | 0.919875 | 0.926435 | 1.077829 | 1.390685 | 1.332568 | 1.036340 | 1.045851 | 1.210331 | 0.716432 | 0.864349 | 1.130075 | 1.174319 | 1.125123 | 1.002591 | 1.069367 | 1.033650 | 1.212299 | 1.437029 | 1.394785 | 1.086061 | 1.071400 | 1.046179 | 0.856510 | 1.098786 | 1.313086 | 1.377698 | 1.119285 | 0.981830 | 0.988914 | 1.061561 | 0.978485 | 1.260118 | 1.262316 | 1.106461 | 1.143391 | 0.971368 | 0.000656 | 1.079337 | 1.069006 | 1.046048 | 0.983601 | 0.964808 | 1.097081 | 0.867563 | 1.299869 | 1.347491 | 1.300328 | 1.137783 | 1.071892 | 0.956543 | 0.952083 | 1.127747 | 1.441325 | 1.478058 | 1.166743 | 0.994556 | 1.018662 | 1.084388 | 1.144277 | 1.481437 | 1.335651 | 1.128632 | 0.930239 | 0.921909 | 0.846015 | 1.056773 | 1.383437 | 1.397934 | 0.995671 | 0.914169 | 0.921745 | 0.925713 | 1.227944 | 1.667038 | 1.324533 | 1.148114 | 1.226796 | 1.114857 | 1.136340 | 1.207248 | 1.667301 | 1.630666 | 1.284684 | 1.163135 | 1.170908 | 1.265005 | 1.211414 | 1.364841 | 1.443326 | 1.218334 | 1.006789 | 0.934897 | 0.944834 | 1.086225 | 1.381076 | 1.435192 | 1.033847 | 0.976714 | 0.958577 | 0.958445 | 1.100886 | 1.448147 | 1.481994 | 1.160971 | 1.127812 | 1.042112 | 1.076386 | 1.178649 | 1.450607 | 1.553919 | 1.181371 | 1.101902 | 1.078747 | 1.127944 | 1.201148 | 1.458544 | 1.60141 | 1.164152 | 1.030239 | 0.982191 | 0.963234 | 1.082289 | 1.376910 | 1.443555 | 1.060610 | 0.880321 | 1.049360 | 0.980715 | 1.067071 | 1.362119 | 1.396622 | 1.046212 | 1.015284 | 1.149885 | 1.109118 | 1.446638 | 1.588029 | 1.365562 | 1.187766 | 1.112201 | 1.120007 | 1.129452 | 1.208691 | 1.484815 | 1.547393 | 1.131322 | 1.101902 | 1.137750 | 1.030863 | 1.084257 | 1.394424 | 1.454870 | 1.086192 | 0.991374 | 0.996458 | 1.005510 | 1.128993 | 1.429911 | 1.423614 | 1.096884 | 0.975730 | 0.940210 | 1.002066 | 1.343916 | 1.543194 | 1.610430 | 1.251853 | 1.150836 | 1.157625 | 1.092850 | 1.227419 | 1.550312 | 1.247294 | 1.219810 | 1.149000 | 1.104788 | 1.051296 | 1.23857 | 1.454116 | 1.459265 | 1.124828 | 1.005936 | 1.021909 | 1.003641 | 1.189472 | 1.311086 | 1.227484 | 1.240308 | 1.012758 | 0.987111 | 0.991013 | 1.079862 | 1.342670 | 1.425484 | 1.267760 | 1.227419 | 1.245982 | 1.145359 | 1.308265 | 1.558117 | 1.588258 | 1.309347 | 1.252345 | 1.15369 | 1.167104 | 1.321154 | 1.471072 | 1.606461 | 1.560512 | 1.039620 | 1.032404 | 1.129059 | 1.240702 | 1.451459 | 1.358249 | 1.142867 | 1.084651 | 1.037127 | 1.061856 | 1.178911 | 1.384487 | 1.408527 | 1.112758 | 1.055395 | 1.248836 | 1.372384 | 1.776123 | 1.229551 | 1.427747 | 1.362348 | 1.225156 | 1.182322 | 1.253198 | 1.308462 | 1.554772 | 1.626566 | 1.281010 | 1.207970 | 1.249426 | 1.229190 | 1.372483 | 1.497540 | 1.567202 | 1.231453 | 1.119646 | 1.094654 | 1.121515 | 1.260774 | 1.397967 | 1.449393 | 1.184847 | 1.080846 | 1.036176 | 1.101574 | 1.360380 | 1.612004 | 1.690423 | 1.484323 | 1.235093 | 1.255461 | 1.239685 | 1.316399 | 1.577698 | 1.704198 | 1.256937 | 1.195441 | 1.225025 | 1.182519 | 1.336897 | 1.588586 | 1.657593 | 1.282781 | 1.155953 | 1.105510 | 1.066448 | 1.212299 | 1.478518 | 1.561036 | 1.150968 | 1.026402 | 1.048442 | 1.052017 | 1.188947 | 1.483634 | 1.591243 | 1.176943 | 1.244834 | 1.200066 | 1.299410 | 1.287963 | 1.557461 | 1.484028 | 1.500886 | 1.186258 | 1.249656 | 1.170646 | 1.321286 | 1.643260 | 1.683831 | 1.248639 | 1.227452 | 1.103477 | 1.115054 | 1.268908 | 1.583437 | 1.639193 | 1.185471 | 1.099311 | 1.098622 | 1.081240 | 1.268613 | 1.529551 | 1.561594 | 1.123713 | 1.004100 | 1.025582 | 1.235717 | 1.455428 | 1.793604 | 1.734831 | 1.393047 | 1.274352 | 1.177009 | 1.240374 | 1.429813 | 1.600098 | 1.630174 | 1.385372 | 1.170253 | 1.123254 | 1.192293 | 1.260151 | 1.568153 | 1.605904 | 1.157822 | 1.085733 | 1.063004 | 1.074779 | 1.246999 | 1.476091 | 1.514562 | 1.150935 | 1.059987 | 1.025484 | 1.089931 | 1.328764 | 1.401869 | 1.541292 | 1.195704 | 1.246212 | 1.052870 | 1.137258 | 1.299475 | 1.552673 | 1.587766 | 1.210725 | 1.094588 | 1.093408 | 1.090259 | 1.187111 | 1.552706 | 1.631847 | 1.172024 | 0.956838 | 1.054772 | 1.061496 | 1.258019 | 1.403509 | 1.473434 | 1.152509 | 1.122401 | 1.315972 | 0.775041 | 0.904592 | 1.122073 | 1.239160 | 1.050049 | 1.141948 | 1.106330 | 1.247261 | 1.252443 | 1.542309 | 1.587898 | 1.161299 | 1.079469 | 1.104952 | 1.054739 | 1.191965 | 1.507871 | 1.480256 | 1.230633 | 1.184979 | 1.119154 | 1.162807 | 1.139915 | 1.426304 | 1.410659 | 1.165038 | 1.200787 | 1.270974 | 1.188160 | 0.000459 | 1.258675 | 1.160315 | 0.982748 | 1.046015 | 1.119285 | 1.412234 | 1.070876 | 1.467268 | 1.454247 | 1.203444 | 1.157953 | 1.071991 | 1.178878 | 1.277009 | 1.734339 | 1.553591 | 1.245851 | 1.151919 | 1.057101 | 1.175992 | 1.370613 | 1.677468 | 1.493375 | 1.257461 | 1.049131 | 1.071958 | 1.042276 | 1.190784 | 1.604690 | 1.568777 | 1.127878 | 0.998557 | 1.028173 | 1.064808 | 1.234470 | 1.610495 | 1.667137 | 1.368121 | 1.145556 | 1.290259 | 1.161824 | 1.318235 | 1.805182 | 1.537980 | 1.207084 | 1.263135 | 1.290685 | 1.462250 | 1.450377 | 1.761725 | 1.585339 | 1.513677 | 1.236537 | 1.198590 | 1.195015 | 1.324762 | 1.667990 | 1.708134 | 1.224270 | 1.114497 | 1.117350 | 1.135290 | 1.234798 | 1.570581 | 1.669892 | 1.222007 | 1.198295 | 1.261332 | 1.359757 | 1.289767 | 1.716038 | 1.876615 | 1.330338 | 1.237357 | 1.214562 | 1.255067 | 1.340997 | 1.728796 | 1.686487 | 1.378649 | 1.315743 | 1.200590 | 1.148213 | 1.300492 | 1.514628 | 1.568547 | 1.225320 | 1.163496 | 1.140899 | 1.115218 | 1.495933 | 1.766579 | 1.520499 | 1.182060 | 1.110430 | 1.061299 | 1.137455 | 1.493473 | 1.727517 | 1.850607 | 1.325615 | 1.301509 | 1.283503 | 1.250115 | 1.417514 | 1.847819 | 1.766350 | 1.391505 | 1.281371 | 1.154247 | 1.230863 | 1.370581 | 1.586159 | 1.693670 | 1.248245 | 1.232207 | 1.159167 | 1.149000 | 1.328862 | 1.605838 | 1.633158 | 1.272319 | 1.163890 | 1.129715 | 1.139128 | 1.406888 | 1.653952 | 1.739324 | 1.416235 | 1.453395 | 1.298819 | 1.336930 | 1.436701 | 1.778911 | 1.495867 | 1.521810 | 1.291538 | 1.385635 | 1.328403 | 1.445490 | 1.781174 | 1.965267 | 1.389374 | 1.271794 | 1.216661 | 1.212299 | 1.395605 | 1.689669 | 1.782158 |
std | 5.126689 | 5.365468 | 3.667454 | 4.415141 | 3.379344 | 4.785947 | 5.059495 | 6.617729 | 5.917204 | 4.206199 | 3.665969 | 3.697822 | 3.486595 | 3.484608 | 4.636395 | 4.662770 | 2.993414 | 3.296922 | 2.811648 | 2.611911 | 2.985123 | 3.923110 | 3.597620 | 3.084773 | 2.874189 | 2.727852 | 2.637849 | 2.842334 | 3.714944 | 3.688771 | 2.708641 | 2.922533 | 2.888537 | 3.085799 | 3.136922 | 3.944627 | 4.617819 | 3.076988 | 3.011551 | 3.023168 | 2.943395 | 3.219799 | 4.112437 | 3.858483 | 3.204146 | 3.178801 | 2.945178 | 2.910318 | 2.985018 | 3.799143 | 3.770863 | 2.940768 | 2.859035 | 2.601816 | 2.539745 | 3.011724 | 3.643936 | 3.753120 | 2.722738 | 2.428430 | 2.553065 | 2.930913 | 3.614927 | 4.081813 | 4.075848 | 3.440013 | 3.169972 | 3.080044 | 2.938010 | 3.181639 | 3.998989 | 4.064496 | 3.346293 | 3.069668 | 2.904153 | 2.895695 | 3.268764 | 3.646208 | 3.947118 | 3.113404 | 2.663721 | 2.799844 | 2.690062 | 3.411234 | 3.952394 | 3.550954 | 2.633130 | 2.371017 | 2.370184 | 2.336361 | 2.893274 | 3.469550 | 3.810263 | 2.994469 | 3.117015 | 2.743477 | 2.823539 | 4.787469 | 3.864910 | 3.466385 | 3.355397 | 3.064408 | 2.905838 | 2.996873 | 3.313320 | 3.486992 | 3.863191 | 2.906889 | 2.503189 | 2.333230 | 2.374141 | 2.843516 | 3.348643 | 3.422558 | 2.823771 | 2.601243 | 2.668984 | 2.835999 | 3.078649 | 3.291331 | 3.169069 | 3.018372 | 2.534923 | 3.053683 | 3.036350 | 3.620832 | 3.976574 | 4.099861 | 3.499081 | 3.420099 | 3.331409 | 3.316834 | 3.307328 | 3.737299 | 4.266954 | 3.426133 | 3.235580 | 3.424048 | 2.953379 | 3.202928 | 3.845742 | 3.804195 | 3.463005 | 3.297195 | 2.815128 | 2.949388 | 3.164065 | 3.486860 | 3.648117 | 2.950419 | 2.609082 | 2.633410 | 2.818619 | 4.193057 | 4.605405 | 4.212882 | 3.315874 | 3.591203 | 3.457706 | 3.476684 | 3.525981 | 4.199982 | 4.129806 | 3.536152 | 3.204502 | 2.959982 | 3.180130 | 3.532995 | 3.851802 | 3.895142 | 3.253198 | 2.780007 | 2.965236 | 2.946823 | 3.297406 | 3.801956 | 3.705734 | 2.919661 | 2.726874 | 2.665060 | 2.60254 | 3.080132 | 3.713137 | 3.776294 | 3.438473 | 3.464112 | 3.695421 | 3.138356 | 3.841424 | 4.423705 | 4.284293 | 3.654164 | 3.614528 | 3.30197 | 3.181374 | 3.831591 | 4.371173 | 4.685006 | 4.047184 | 3.538605 | 3.106242 | 3.205524 | 3.816692 | 4.596349 | 4.625838 | 3.503383 | 3.072394 | 2.931710 | 2.713012 | 3.117708 | 3.897194 | 4.229375 | 2.874061 | 2.635708 | 2.822938 | 3.492949 | 3.867191 | 4.403508 | 3.578657 | 3.920327 | 3.337459 | 3.152859 | 3.035086 | 3.638827 | 3.997853 | 4.287494 | 3.361611 | 3.160423 | 3.310507 | 3.418971 | 3.305297 | 3.963408 | 3.823957 | 2.986535 | 2.925692 | 2.861600 | 2.757401 | 3.533770 | 4.243583 | 5.072695 | 3.578870 | 3.408207 | 3.326264 | 3.271231 | 4.532747 | 5.816764 | 5.104353 | 4.187780 | 3.678991 | 3.728881 | 3.781757 | 4.375375 | 5.401974 | 4.733447 | 3.991809 | 3.896077 | 3.636550 | 3.787782 | 4.087513 | 5.233140 | 4.917479 | 3.804914 | 3.551107 | 3.111305 | 3.256827 | 4.269312 | 4.705038 | 4.577163 | 3.391484 | 3.398279 | 2.985014 | 3.413701 | 3.881694 | 4.764419 | 4.527858 | 3.303660 | 3.689733 | 3.416246 | 3.914081 | 3.862465 | 5.030195 | 4.928005 | 3.867986 | 3.472631 | 3.608273 | 3.613708 | 4.272797 | 5.394491 | 4.943759 | 3.816109 | 3.580187 | 3.113421 | 3.254758 | 4.135218 | 5.154228 | 4.371942 | 3.620042 | 4.045264 | 6.346170 | 4.405719 | 4.355537 | 3.543093 | 3.634479 | 2.806494 | 2.915555 | 2.866750 | 3.630248 | 4.127419 | 5.174451 | 4.819384 | 4.105536 | 3.852015 | 3.539930 | 3.654339 | 4.161905 | 4.952683 | 4.787429 | 3.901726 | 3.686772 | 3.683473 | 4.218042 | 4.516705 | 4.915300 | 4.313228 | 4.048551 | 3.738245 | 3.855985 | 4.290415 | 6.332411 | 6.598196 | 0.037552 | 4.080827 | 3.322562 | 3.691060 | 3.424374 | 5.538999 | 6.915889 | 3.138417 | 4.334097 | 3.679838 | 3.423041 | 3.799999 | 3.898835 | 4.890782 | 4.805100 | 3.610505 | 3.587361 | 3.763924 | 3.209078 | 3.852671 | 5.051660 | 4.997426 | 3.742963 | 3.001798 | 3.097722 | 3.168779 | 3.533499 | 5.218272 | 4.418677 | 3.301521 | 3.281110 | 3.011560 | 3.155860 | 3.912637 | 4.440223 | 4.157760 | 3.245294 | 3.316222 | 3.745791 | 3.676083 | 4.551669 | 5.773146 | 5.105935 | 3.961224 | 3.535021 | 3.780643 | 4.156838 | 4.247300 | 5.615267 | 5.342754 | 4.112584 | 3.499058 | 3.692474 | 3.046985 | 3.303217 | 4.693138 | 4.582874 | 3.812428 | 3.402179 | 2.920846 | 3.266624 | 3.906719 | 4.447724 | 4.592450 | 3.440187 | 2.982089 | 3.132091 | 3.790929 | 4.135408 | 5.126268 | 5.022461 | 4.161387 | 4.113889 | 3.564854 | 3.792822 | 4.176970 | 4.793699 | 4.941296 | 4.228114 | 3.699868 | 3.596096 | 3.838459 | 4.020055 | 4.823376 | 4.542105 | 3.496677 | 3.241962 | 3.138013 | 3.193725 | 3.636008 | 4.627949 | 4.624954 | 3.360490 | 2.977597 | 2.990275 | 2.932219 | 3.793006 | 4.570898 | 4.739806 | 3.888236 | 4.096658 | 3.535166 | 3.994218 | 4.791896 | 6.052181 | 5.186144 | 3.895638 | 3.620644 | 3.644145 | 3.460657 | 3.977895 | 4.751172 | 4.660336 | 3.280693 | 3.089763 | 3.030393 | 3.111246 | 3.687737 | 4.610515 | 4.644716 | 3.199621 | 3.017752 | 3.006376 | 3.029732 | 3.579664 | 4.333807 | 4.159277 | 3.202175 | 3.635138 | 3.57362 | 4.193760 | 3.958426 | 5.119492 | 4.948203 | 4.652003 | 3.844287 | 3.749579 | 3.626574 | 4.227139 | 5.724670 | 4.528098 | 4.060530 | 3.940018 | 3.551651 | 3.39989 | 4.309572 | 4.915368 | 4.942363 | 3.495019 | 3.503704 | 3.326931 | 3.65728 | 4.474293 | 4.694187 | 4.403990 | 4.275807 | 3.715105 | 3.349488 | 3.517257 | 4.673502 | 5.314214 | 5.214288 | 3.970099 | 4.169758 | 4.230744 | 3.968636 | 4.705715 | 5.563157 | 5.942916 | 5.056376 | 4.280870 | 3.820090 | 4.195877 | 5.306018 | 5.640554 | 5.117043 | 4.168357 | 3.942698 | 3.814049 | 3.601221 | 5.735970 | 5.106879 | 5.268596 | 3.836420 | 3.705410 | 3.647999 | 4.048349 | 4.499534 | 4.952282 | 4.975036 | 4.684861 | 5.526807 | 4.925674 | 4.287790 | 5.460536 | 5.387959 | 5.164806 | 4.273343 | 4.074058 | 4.066251 | 4.188088 | 4.478193 | 5.039092 | 5.534334 | 4.220753 | 3.886682 | 3.534199 | 3.761448 | 4.628367 | 5.121827 | 5.169011 | 3.864643 | 3.512260 | 3.605767 | 3.557906 | 4.114168 | 4.305327 | 4.739899 | 3.811025 | 3.624549 | 4.032717 | 4.467505 | 5.031874 | 5.125671 | 5.434123 | 4.574412 | 4.014598 | 4.142155 | 4.764363 | 4.805980 | 5.984397 | 5.985481 | 4.731373 | 4.604410 | 4.522344 | 4.281144 | 4.457053 | 5.525933 | 5.357862 | 4.041339 | 3.539636 | 3.592631 | 3.534079 | 4.002894 | 4.987939 | 4.975296 | 3.853261 | 3.513161 | 3.403931 | 3.507367 | 4.293018 | 5.772197 | 5.254929 | 5.694821 | 3.958664 | 3.797124 | 3.885975 | 4.227084 | 5.017666 | 5.842469 | 4.215169 | 3.906841 | 3.949536 | 3.595207 | 4.340788 | 5.410205 | 5.265273 | 3.847551 | 3.343046 | 3.086486 | 3.430604 | 4.203177 | 5.024553 | 4.726365 | 3.454959 | 3.372713 | 3.312527 | 3.454063 | 4.064851 | 5.179006 | 4.910268 | 4.319530 | 4.475106 | 4.110760 | 3.663085 | 4.036751 | 5.304560 | 4.877061 | 4.201955 | 3.899783 | 3.666955 | 3.647826 | 4.326227 | 5.020221 | 5.041008 | 3.891715 | 3.334470 | 3.341059 | 3.282728 | 3.931750 | 4.319206 | 4.340431 | 3.201888 | 2.939659 | 2.891194 | 2.900666 | 3.486268 | 4.519272 | 4.299637 | 3.110363 | 3.378267 | 3.102032 | 3.571495 | 4.042260 | 5.151260 | 4.828492 | 3.750041 | 3.729479 | 3.448908 | 3.462627 | 4.146637 | 4.857063 | 4.976125 | 3.708613 | 3.184004 | 3.224670 | 3.402345 | 3.685692 | 4.636037 | 4.416919 | 3.566887 | 3.900886 | 5.613890 | 4.878181 | 3.364411 | 3.661757 | 3.624415 | 2.805101 | 2.619644 | 2.715168 | 2.776580 | 3.655437 | 5.041806 | 4.710074 | 3.909906 | 3.308964 | 3.715744 | 3.593660 | 4.190227 | 4.812181 | 4.735286 | 3.698683 | 3.506004 | 3.557425 | 3.327926 | 3.859734 | 5.099513 | 4.622364 | 3.465122 | 3.487392 | 3.781424 | 3.690906 | 4.076194 | 5.273439 | 5.847256 | 6.259961 | 0.018991 | 3.670131 | 3.400977 | 3.855630 | 4.420550 | 4.759123 | 5.911918 | 2.830817 | 3.806247 | 4.290763 | 3.900511 | 4.999655 | 5.040123 | 3.780544 | 3.725425 | 3.574548 | 3.713152 | 3.959008 | 6.353421 | 4.713116 | 3.706187 | 3.872841 | 3.317394 | 3.081734 | 3.671527 | 4.884316 | 4.366622 | 3.534974 | 2.806866 | 2.636828 | 2.705775 | 2.973676 | 4.339781 | 4.123153 | 3.028330 | 2.954021 | 2.593137 | 2.909778 | 4.215598 | 5.555124 | 5.060175 | 3.296048 | 3.438233 | 3.535023 | 3.463905 | 4.035623 | 4.910856 | 4.494381 | 4.293642 | 4.212950 | 4.523878 | 3.500160 | 4.223044 | 4.836151 | 4.759981 | 3.541796 | 3.112712 | 3.225639 | 3.431770 | 3.668877 | 4.506840 | 4.596170 | 3.314697 | 2.914731 | 3.010108 | 3.193188 | 4.060771 | 5.327689 | 5.187499 | 3.952671 | 3.639742 | 3.549292 | 3.261861 | 3.846756 | 5.013580 | 4.809772 | 3.827351 | 3.679662 | 3.408912 | 3.793161 | 4.227286 | 4.853328 | 4.511973 | 3.468718 | 3.133460 | 3.085171 | 3.146089 | 3.620637 | 4.270666 | 4.178630 | 3.175767 | 3.142012 | 3.107193 | 3.340756 | 4.404191 | 5.447370 | 4.424780 | 3.800249 | 3.842212 | 3.919345 | 3.516411 | 4.534302 | 5.017657 | 4.901550 | 3.901275 | 3.715326 | 3.593762 | 3.931992 | 4.257929 | 4.618409 | 4.804051 | 3.769326 | 3.407546 | 3.055753 | 3.010802 | 3.541749 | 4.282116 | 4.284373 | 3.320689 | 3.188384 | 3.059558 | 3.042302 | 3.332726 | 3.923909 | 4.025515 | 2.913126 | 3.112988 | 3.602713 | 3.535716 | 4.011444 | 4.629568 | 4.468755 | 3.806116 | 3.521454 | 3.398076 | 3.576087 | 3.713114 | 5.084089 | 4.391731 | 3.757466 | 3.724009 | 3.696495 | 3.342136 | 3.746553 | 4.408275 | 4.440536 | 3.712986 | 3.227328 | 3.004243 | 3.298038 | 3.643830 | 4.246540 | 4.076877 | 4.072004 | 3.139300 | 2.829517 | 3.006250 | 3.842076 | 4.762379 | 5.062585 | 4.150775 | 3.632363 | 5.218092 | 4.515050 | 4.076095 | 4.971062 | 5.172846 | 3.928599 | 3.758730 | 3.519470 | 3.738726 | 4.397485 | 5.061457 | 4.633733 | 3.923513 | 3.380800 | 3.207686 | 3.406420 | 4.028210 | 4.598513 | 4.845151 | 3.601133 | 3.472095 | 3.427060 | 3.634270 | 4.485853 | 6.247522 | 5.732200 | 4.609735 | 4.286895 | 5.089670 | 4.993788 | 4.686764 | 4.692845 | 4.859649 | 4.191983 | 4.271183 | 3.797243 | 3.867125 | 4.444169 | 4.805382 | 5.025579 | 3.990423 | 3.603205 | 3.501352 | 3.844253 | 4.010134 | 4.652635 | 4.899416 | 3.542504 | 3.484071 | 4.924570 | 3.599148 | 4.100461 | 4.713070 | 4.663904 | 3.632075 | 3.340458 | 3.830264 | 4.272638 | 4.509132 | 5.153178 | 5.021145 | 4.326024 | 4.074528 | 4.129541 | 4.058569 | 4.739620 | 5.161838 | 5.638415 | 4.441949 | 4.666993 | 3.933302 | 4.664165 | 4.430094 | 4.953292 | 5.337675 | 4.370948 | 3.837378 | 4.098857 | 3.950302 | 6.089621 | 6.610942 | 6.604547 | 4.470011 | 4.693675 | 4.533783 | 4.798888 | 6.383960 | 6.980386 | 7.365633 | 6.384567 | 4.808603 | 4.740246 | 5.174131 | 5.122239 | 6.262760 | 6.567841 | 5.104232 | 5.046232 | 5.532741 | 5.695836 | 6.556826 | 7.256630 | 6.237616 | 5.210463 | 4.126588 | 4.101417 | 3.772732 | 4.369121 | 5.555844 | 5.640303 | 3.947113 | 4.006788 | 3.780107 | 4.091011 | 4.657772 | 5.420316 | 5.022184 | 3.788384 | 3.931015 | 3.854476 | 3.930702 | 4.161156 | 5.245162 | 5.263682 | 3.830744 | 3.704441 | 3.655756 | 3.664944 | 4.054287 | 4.937010 | 4.779758 | 3.883885 | 3.439844 | 4.794659 | 3.198762 | 3.555142 | 4.317393 | 4.551397 | 3.062597 | 2.931482 | 3.024572 | 2.914609 | 3.512546 | 4.244254 | 4.062951 | 3.543451 | 3.041411 | 3.338877 | 3.131114 | 4.087407 | 4.835969 | 4.945676 | 3.333546 | 3.503093 | 3.502455 | 3.564546 | 3.779396 | 4.71279 | 4.435516 | 4.479391 | 3.712929 | 3.077476 | 3.099420 | 3.999241 | 4.873698 | 4.325099 | 3.303798 | 3.042857 | 2.887811 | 3.063626 | 3.477154 | 4.080391 | 3.969272 | 3.216623 | 3.586090 | 4.869494 | 3.291038 | 3.290903 | 3.477103 | 4.073378 | 5.490765 | 4.863138 | 4.166900 | 4.54262 | 4.581455 | 5.912079 | 4.138178 | 3.530755 | 3.344428 | 3.398477 | 3.521800 | 3.956135 | 4.312865 | 4.484244 | 3.446793 | 3.261209 | 3.389748 | 3.524577 | 3.425548 | 4.257237 | 3.820709 | 3.921504 | 4.133365 | 0.040491 | 4.063103 | 4.098849 | 4.165534 | 4.005681 | 4.284123 | 5.997979 | 2.850483 | 3.493910 | 4.106438 | 4.799798 | 5.340848 | 3.739294 | 3.412672 | 3.927709 | 3.428033 | 3.404046 | 5.223173 | 5.046399 | 3.451757 | 3.515635 | 3.184438 | 3.470912 | 3.871446 | 4.333899 | 4.085432 | 3.142859 | 2.813103 | 2.949166 | 2.681569 | 3.227776 | 4.058389 | 4.439855 | 3.298194 | 2.633597 | 2.480878 | 2.867877 | 3.875437 | 4.873254 | 4.979560 | 4.308786 | 3.258369 | 3.802393 | 3.520698 | 3.462966 | 4.305790 | 4.607562 | 3.286686 | 3.471447 | 3.892424 | 4.141520 | 3.511910 | 4.192258 | 4.184924 | 4.922578 | 3.035007 | 2.970654 | 2.968046 | 3.173957 | 3.689376 | 4.025772 | 2.931790 | 2.808994 | 2.465739 | 2.679901 | 3.257847 | 4.030414 | 4.198879 | 3.553390 | 2.890334 | 3.012136 | 3.251207 | 3.304873 | 4.099457 | 5.378941 | 3.822583 | 3.555881 | 3.665102 | 3.321646 | 3.585181 | 4.191573 | 4.434953 | 3.214283 | 3.001087 | 2.934691 | 2.899467 | 3.380545 | 4.325296 | 4.266401 | 3.216641 | 2.774606 | 2.685450 | 2.969177 | 3.250457 | 4.007381 | 4.273346 | 2.950791 | 3.199534 | 3.342337 | 3.793991 | 3.563225 | 4.692509 | 4.881549 | 3.887163 | 3.973251 | 3.874929 | 3.495231 | 4.293836 | 4.637040 | 4.492225 | 4.208547 | 3.590058 | 3.345968 | 3.238957 | 3.781724 | 4.924661 | 4.675854 | 3.138706 | 2.982114 | 3.079755 | 3.057782 | 3.375949 | 4.132766 | 4.156101 | 3.214474 | 3.077312 | 2.978413 | 3.537844 | 4.040551 | 4.710585 | 4.430849 | 3.656242 | 3.338716 | 3.557957 | 3.263832 | 3.731896 | 4.473339 | 4.267809 | 4.038657 | 3.443318 | 3.551403 | 3.462769 | 3.537321 | 3.639098 | 4.003069 | 3.023631 | 2.830314 | 2.908389 | 2.887471 | 3.193460 | 3.696491 | 3.665048 | 3.273489 | 2.725990 | 2.580636 | 2.652021 | 3.276702 | 3.722853 | 4.215895 | 3.707152 | 3.859708 | 3.186263 | 4.13393 | 3.812838 | 4.346135 | 4.657898 | 4.194092 | 3.651523 | 3.646262 | 3.855209 | 4.098586 | 4.722299 | 4.606209 | 3.539419 | 3.348853 | 3.252497 | 3.266795 | 3.817202 | 4.380183 | 4.108234 | 3.251102 | 3.044351 | 2.775480 | 2.955661 | 3.480649 | 4.047373 | 4.241650 | 3.567043 | 3.791767 | 3.837790 | 4.988786 | 4.530057 | 4.123022 | 5.108442 | 4.185687 | 3.830692 | 4.264359 | 3.780689 | 4.205934 | 4.984710 | 4.493315 | 4.015235 | 3.796753 | 3.450728 | 3.510304 | 3.994167 | 4.534094 | 4.384375 | 3.370666 | 3.294084 | 3.249174 | 3.294777 | 3.628037 | 4.093724 | 4.562753 | 3.231080 | 3.202388 | 3.193669 | 3.314494 | 4.405932 | 4.749969 | 5.040607 | 3.754602 | 4.033326 | 3.586325 | 3.816484 | 5.478543 | 4.762712 | 4.482347 | 3.738367 | 3.891576 | 3.451841 | 3.538689 | 4.101419 | 4.571195 | 4.712975 | 3.689226 | 3.233529 | 3.109578 | 3.224038 | 3.863364 | 4.478935 | 4.868209 | 3.504881 | 3.097637 | 3.022738 | 2.989104 | 3.650340 | 4.289462 | 3.781584 | 4.277659 | 3.511138 | 3.751464 | 3.173897 | 3.673757 | 4.637405 | 4.621127 | 3.724552 | 3.434193 | 3.250779 | 3.562130 | 3.969389 | 4.590406 | 4.398127 | 3.708927 | 3.357913 | 2.940893 | 2.917812 | 3.454201 | 4.399671 | 4.366407 | 3.149223 | 3.041535 | 2.961761 | 2.891636 | 3.431629 | 3.965843 | 4.050014 | 2.979872 | 2.890877 | 3.193341 | 3.608364 | 4.454514 | 4.600189 | 4.643026 | 3.790519 | 3.174858 | 3.525241 | 3.404768 | 3.658454 | 4.286691 | 4.432436 | 3.099446 | 3.007021 | 3.34868 | 2.704607 | 2.908921 | 3.935281 | 4.173098 | 3.001532 | 2.779118 | 2.635563 | 2.729780 | 3.234373 | 3.788509 | 3.716691 | 3.029133 | 2.733031 | 2.684560 | 3.067783 | 3.447784 | 4.179011 | 4.251324 | 3.585752 | 3.113264 | 3.017720 | 3.187341 | 3.389466 | 4.034064 | 4.469847 | 3.261841 | 3.169828 | 3.151774 | 2.799036 | 3.597227 | 4.149770 | 3.972688 | 2.909267 | 2.587299 | 2.681560 | 2.731060 | 3.144316 | 3.853589 | 3.752484 | 3.065156 | 3.409609 | 4.541564 | 4.160504 | 2.974979 | 3.427025 | 3.562188 | 3.034128 | 2.943947 | 3.146975 | 2.902334 | 3.406784 | 3.972699 | 3.699568 | 3.195655 | 3.059468 | 2.954013 | 2.594871 | 3.126177 | 3.586673 | 3.668235 | 3.267749 | 2.802331 | 3.346236 | 3.258624 | 2.941847 | 3.599228 | 3.779588 | 3.412247 | 3.556911 | 3.423587 | 0.029195 | 3.232529 | 3.103244 | 2.989938 | 2.724073 | 2.719225 | 3.635860 | 2.580802 | 3.718185 | 3.863276 | 4.192375 | 3.302747 | 3.433624 | 2.973019 | 2.942845 | 3.550055 | 3.963606 | 4.335143 | 3.627242 | 2.960015 | 3.282916 | 3.201027 | 3.389766 | 4.184964 | 3.893575 | 3.351990 | 2.809302 | 2.708843 | 2.556752 | 3.394467 | 3.909888 | 3.864777 | 2.834586 | 2.680344 | 2.897742 | 2.688715 | 3.512309 | 4.584432 | 4.186389 | 3.287642 | 3.350773 | 3.111081 | 3.204859 | 3.643703 | 4.567342 | 4.482428 | 3.599296 | 3.230294 | 3.444572 | 3.766264 | 3.387138 | 3.918533 | 3.866854 | 3.172279 | 2.731826 | 2.675429 | 2.579264 | 2.897985 | 3.546893 | 3.733894 | 2.723358 | 2.718370 | 2.656846 | 2.648325 | 2.791882 | 3.517575 | 3.645751 | 3.020478 | 3.180062 | 2.898390 | 3.149969 | 3.194812 | 4.014463 | 4.299230 | 3.393038 | 2.982805 | 2.889505 | 3.378298 | 3.672091 | 4.340648 | 4.45666 | 3.271552 | 3.261193 | 2.763660 | 2.794290 | 3.031678 | 3.859833 | 3.785542 | 3.004397 | 2.705276 | 3.015896 | 2.775321 | 3.097791 | 3.745306 | 3.948663 | 2.940174 | 2.718499 | 3.159637 | 3.073546 | 4.171272 | 4.446726 | 3.884570 | 3.337107 | 3.166481 | 3.196095 | 3.219694 | 3.276399 | 3.964839 | 4.086634 | 3.035784 | 3.751499 | 3.219956 | 2.957792 | 3.159583 | 3.922461 | 3.921289 | 2.874708 | 2.823429 | 2.784376 | 2.850691 | 3.143290 | 3.904518 | 3.826327 | 2.977056 | 2.678126 | 2.648991 | 2.921075 | 3.834312 | 4.709173 | 4.269968 | 3.412240 | 3.209405 | 3.282057 | 3.052087 | 3.704769 | 4.468259 | 3.771254 | 3.328332 | 3.326179 | 3.040966 | 2.827312 | 3.45374 | 3.771536 | 3.774551 | 2.867073 | 2.655681 | 2.721564 | 2.639034 | 3.167979 | 3.530381 | 3.249950 | 3.354958 | 2.903061 | 2.715753 | 2.688866 | 2.914981 | 3.453005 | 3.597839 | 3.349458 | 4.842994 | 3.403029 | 3.079377 | 3.672253 | 4.126050 | 4.700345 | 3.791857 | 3.670273 | 3.19171 | 3.359077 | 3.850324 | 3.877342 | 5.246662 | 4.821239 | 2.973751 | 3.116139 | 3.235268 | 3.582808 | 4.366438 | 4.249970 | 3.196258 | 3.122556 | 2.956205 | 3.240992 | 3.427824 | 4.138750 | 4.126852 | 3.393016 | 3.094632 | 3.826517 | 3.926353 | 5.438132 | 4.243933 | 4.207550 | 3.838813 | 3.585932 | 3.339226 | 3.576902 | 3.866563 | 4.381939 | 4.547655 | 3.488323 | 3.432658 | 3.507516 | 3.444296 | 4.066071 | 4.481625 | 4.565143 | 3.595041 | 3.293296 | 3.129545 | 3.287271 | 3.781139 | 4.028731 | 4.127476 | 3.455798 | 3.243624 | 3.116955 | 3.130674 | 3.925585 | 4.537062 | 4.859605 | 4.084447 | 3.444251 | 3.741417 | 3.579932 | 3.946328 | 4.630130 | 5.094976 | 3.575251 | 3.377543 | 3.591168 | 3.369595 | 4.076338 | 4.801703 | 4.964287 | 3.817725 | 3.420124 | 3.566518 | 3.091610 | 3.580126 | 4.247610 | 4.555743 | 3.376794 | 2.877333 | 3.037595 | 3.112050 | 3.473993 | 4.089628 | 4.337475 | 3.160111 | 3.384038 | 3.352157 | 3.670574 | 3.570627 | 4.250680 | 4.500475 | 4.422089 | 3.524220 | 3.654615 | 3.337947 | 3.812441 | 4.514526 | 4.548968 | 3.383664 | 3.449203 | 3.132634 | 3.076321 | 3.543983 | 4.444830 | 4.555249 | 3.321571 | 3.136227 | 3.031071 | 3.097759 | 3.707375 | 4.217168 | 4.087328 | 2.949527 | 2.630917 | 2.847163 | 3.272933 | 3.925684 | 4.640015 | 4.429784 | 3.757498 | 3.465067 | 3.201221 | 3.586518 | 3.937682 | 4.226751 | 4.311640 | 3.784028 | 3.410462 | 3.145330 | 3.242673 | 3.531998 | 4.189205 | 4.245943 | 3.176179 | 2.882049 | 2.828984 | 3.192756 | 3.454890 | 4.009513 | 4.053166 | 3.053834 | 2.921111 | 2.752147 | 3.120291 | 3.663099 | 3.932300 | 4.004223 | 3.080492 | 3.230873 | 2.766159 | 3.167669 | 3.554731 | 4.169606 | 4.065414 | 3.364967 | 2.843331 | 2.979006 | 3.249584 | 3.355814 | 4.126703 | 4.281604 | 3.007729 | 2.616270 | 2.726749 | 2.812704 | 3.314251 | 3.812355 | 3.925756 | 3.202374 | 3.292896 | 5.043404 | 4.157356 | 3.063421 | 3.059919 | 3.217666 | 2.740206 | 3.062908 | 3.110836 | 3.276218 | 3.129708 | 4.087766 | 4.041257 | 2.892527 | 3.058004 | 3.219389 | 3.205071 | 3.441272 | 4.075272 | 3.781473 | 3.366941 | 3.286922 | 2.991093 | 3.346390 | 3.038888 | 3.863512 | 3.769452 | 3.210694 | 3.313992 | 3.708097 | 3.948908 | 0.024293 | 3.496412 | 3.101296 | 2.679001 | 2.729621 | 2.985293 | 4.315076 | 2.895401 | 3.896391 | 3.733227 | 3.065099 | 2.988478 | 2.856001 | 3.406503 | 3.524625 | 4.710819 | 4.000242 | 3.542339 | 3.105787 | 2.818842 | 3.153780 | 3.564367 | 4.320692 | 3.840054 | 3.317000 | 2.923127 | 2.749303 | 2.919658 | 3.116587 | 4.076205 | 4.030535 | 2.926793 | 2.624236 | 2.617195 | 2.755153 | 3.257262 | 4.090935 | 4.119707 | 3.602253 | 2.983220 | 3.478554 | 3.122698 | 3.623084 | 4.840290 | 4.223124 | 3.171229 | 3.304691 | 3.483507 | 3.990703 | 3.859556 | 4.576627 | 4.260717 | 4.212121 | 3.426776 | 3.284385 | 3.148830 | 3.570565 | 4.356103 | 4.363880 | 3.234717 | 2.944885 | 2.890096 | 3.061222 | 3.345088 | 4.059589 | 4.088089 | 3.027963 | 3.272293 | 3.341780 | 3.430482 | 3.328608 | 4.495775 | 4.606493 | 3.430893 | 3.266364 | 3.157920 | 3.256278 | 3.524594 | 4.379331 | 4.244859 | 3.599718 | 3.452243 | 3.138745 | 3.085343 | 3.368736 | 3.958988 | 4.116284 | 2.994501 | 2.986132 | 2.909689 | 2.934280 | 3.999311 | 4.875745 | 4.539663 | 2.932883 | 2.969828 | 2.795303 | 2.982687 | 3.696225 | 4.371541 | 4.549733 | 3.353388 | 3.375255 | 3.429146 | 3.292236 | 3.730618 | 4.619235 | 4.290072 | 3.620804 | 3.329683 | 2.933918 | 3.303282 | 3.740017 | 4.097191 | 4.359809 | 3.276925 | 3.125471 | 2.876026 | 2.950364 | 3.358012 | 4.089422 | 3.812248 | 3.237593 | 2.958058 | 2.899251 | 2.884903 | 3.601825 | 4.078230 | 4.012232 | 3.448094 | 3.629592 | 3.312139 | 3.370512 | 3.862338 | 4.529591 | 3.949142 | 3.854184 | 3.189395 | 3.557375 | 3.316416 | 3.656824 | 4.426550 | 4.706284 | 3.313292 | 3.126178 | 3.000348 | 2.955910 | 3.514318 | 4.089208 | 4.284356 |
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1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 2.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 | 2.000000 | 2.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 2.000000 |
max | 360.000000 | 436.000000 | 207.000000 | 323.000000 | 296.000000 | 314.000000 | 316.000000 | 370.000000 | 385.000000 | 353.000000 | 279.000000 | 258.000000 | 163.000000 | 107.000000 | 133.000000 | 149.000000 | 122.000000 | 111.000000 | 83.000000 | 95.000000 | 100.000000 | 132.000000 | 120.000000 | 113.000000 | 158.000000 | 105.000000 | 104.000000 | 94.000000 | 125.000000 | 138.000000 | 88.000000 | 104.000000 | 91.000000 | 90.000000 | 98.000000 | 133.000000 | 294.000000 | 99.000000 | 89.000000 | 101.000000 | 94.000000 | 89.000000 | 146.000000 | 131.000000 | 94.000000 | 101.000000 | 88.000000 | 105.000000 | 105.000000 | 125.000000 | 142.000000 | 103.000000 | 166.000000 | 110.000000 | 83.000000 | 117.000000 | 127.000000 | 200.000000 | 76.000000 | 75.000000 | 100.000000 | 108.000000 | 124.000000 | 152.000000 | 151.000000 | 148.000000 | 104.000000 | 106.000000 | 85.000000 | 104.000000 | 137.000000 | 129.000000 | 144.000000 | 100.000000 | 119.000000 | 111.000000 | 102.000000 | 126.000000 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96.000000 | 81.000000 | 171.000000 | 89.000000 | 134.000000 | 127.000000 | 138.000000 | 141.000000 | 105.000000 | 88.000000 | 137.000000 | 166.000000 | 147.000000 | 123.000000 | 116.000000 | 149.000000 | 134.000000 | 101.000000 | 164.000000 | 141.000000 | 126.000000 | 168.000000 | 102.000000 | 111.000000 | 123.000000 | 137.000000 | 151.000000 | 131.000000 | 120.000000 | 89.000000 | 97.000000 | 123.000000 | 141.000000 | 132.000000 | 155.000000 | 98.000000 | 128.000000 | 90.000000 | 119.000000 | 162.000000 | 205.000000 | 131.000000 | 174.000000 | 86.000000 | 107.000000 | 149.000000 | 160.000000 | 166.000000 | 182.000000 | 94.000000 | 108.000000 | 100.000000 | 95.000000 | 129.000000 | 140.000000 | 125.000000 | 98.000000 | 110.000000 | 323.000000 | 256.000000 | 120.000000 | 109.000000 | 102.000000 | 98.000000 | 109.000000 | 117.000000 | 106.000000 | 108.000000 | 164.000000 | 154.000000 | 85.000000 | 125.000000 | 170.000000 | 221.000000 | 150.000000 | 215.000000 | 134.000000 | 170.000000 | 141.000000 | 103.000000 | 183.000000 | 124.000000 | 126.000000 | 154.000000 | 138.000000 | 105.000000 | 138.000000 | 190.000000 | 2.000000 | 111.000000 | 90.000000 | 104.000000 | 73.000000 | 77.000000 | 181.000000 | 101.000000 | 198.000000 | 213.000000 | 129.000000 | 67.000000 | 95.000000 | 146.000000 | 111.000000 | 179.000000 | 118.000000 | 179.000000 | 107.000000 | 94.000000 | 126.000000 | 123.000000 | 160.000000 | 126.000000 | 145.000000 | 111.000000 | 68.000000 | 184.000000 | 94.000000 | 144.000000 | 146.000000 | 87.000000 | 76.000000 | 75.000000 | 84.000000 | 122.000000 | 122.000000 | 103.000000 | 116.000000 | 81.000000 | 134.000000 | 100.000000 | 130.000000 | 173.000000 | 147.000000 | 90.000000 | 83.000000 | 123.000000 | 115.000000 | 118.000000 | 177.000000 | 174.000000 | 171.000000 | 114.000000 | 145.000000 | 98.000000 | 144.000000 | 160.000000 | 130.000000 | 142.000000 | 89.000000 | 78.000000 | 105.000000 | 156.000000 | 170.000000 | 122.000000 | 75.000000 | 128.000000 | 103.000000 | 91.000000 | 109.000000 | 248.000000 | 174.000000 | 98.000000 | 104.000000 | 108.000000 | 125.000000 | 136.000000 | 161.000000 | 131.000000 | 135.000000 | 125.000000 | 93.000000 | 100.000000 | 98.000000 | 182.000000 | 135.000000 | 100.000000 | 80.000000 | 90.000000 | 73.000000 | 153.000000 | 218.000000 | 212.000000 | 61.000000 | 114.000000 | 71.000000 | 130.000000 | 156.000000 | 133.000000 | 126.000000 | 82.000000 | 101.000000 | 113.000000 | 128.000000 | 107.000000 | 169.000000 | 124.000000 | 122.000000 | 123.000000 | 89.000000 | 142.000000 | 129.000000 | 160.000000 | 204.000000 | 98.000000 | 100.000000 | 88.000000 | 77.000000 | 141.000000 | 171.000000 | 130.000000 | 133.000000 | 117.000000 | 113.000000 | 99.000000 | 196.000000 | 132.000000 | 114.000000 | 114.000000 | 143.000000 | 107.000000 | 93.000000 | 179.000000 | 173.000000 | 167.000000 | 119.000000 | 119.000000 | 125.000000 | 89.000000 | 143.000000 | 156.000000 | 187.000000 | 98.000000 | 90.000000 | 77.000000 | 84.000000 | 110.000000 | 156.000000 | 117.000000 |
prices
store_id | item_id | wm_yr_wk | sell_price | |
---|---|---|---|---|
0 | CA_1 | HOBBIES_1_001 | 11325 | 9.58 |
1 | CA_1 | HOBBIES_1_001 | 11326 | 9.58 |
2 | CA_1 | HOBBIES_1_001 | 11327 | 8.26 |
3 | CA_1 | HOBBIES_1_001 | 11328 | 8.26 |
4 | CA_1 | HOBBIES_1_001 | 11329 | 8.26 |
... | ... | ... | ... | ... |
6841116 | WI_3 | FOODS_3_827 | 11617 | 1.00 |
6841117 | WI_3 | FOODS_3_827 | 11618 | 1.00 |
6841118 | WI_3 | FOODS_3_827 | 11619 | 1.00 |
6841119 | WI_3 | FOODS_3_827 | 11620 | 1.00 |
6841120 | WI_3 | FOODS_3_827 | 11621 | 1.00 |
6841121 rows × 4 columns
prices.info()
prices.describe()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 6841121 entries, 0 to 6841120 Data columns (total 4 columns): # Column Dtype --- ------ ----- 0 store_id object 1 item_id object 2 wm_yr_wk int64 3 sell_price float64 dtypes: float64(1), int64(1), object(2) memory usage: 208.8+ MB
wm_yr_wk | sell_price | |
---|---|---|
count | 6.841121e+06 | 6.841121e+06 |
mean | 1.138294e+04 | 4.410952e+00 |
std | 1.486100e+02 | 3.408814e+00 |
min | 1.110100e+04 | 1.000000e-02 |
25% | 1.124700e+04 | 2.180000e+00 |
50% | 1.141100e+04 | 3.470000e+00 |
75% | 1.151700e+04 | 5.840000e+00 |
max | 1.162100e+04 | 1.073200e+02 |
calendar
date | wm_yr_wk | weekday | wday | month | year | d | event_name_1 | event_type_1 | event_name_2 | event_type_2 | snap_CA | snap_TX | snap_WI | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 2011-01-29 | 11101 | Saturday | 1 | 1 | 2011 | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
1 | 2011-01-30 | 11101 | Sunday | 2 | 1 | 2011 | d_2 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
2 | 2011-01-31 | 11101 | Monday | 3 | 1 | 2011 | d_3 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
3 | 2011-02-01 | 11101 | Tuesday | 4 | 2 | 2011 | d_4 | NaN | NaN | NaN | NaN | 1 | 1 | 0 |
4 | 2011-02-02 | 11101 | Wednesday | 5 | 2 | 2011 | d_5 | NaN | NaN | NaN | NaN | 1 | 0 | 1 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
1964 | 2016-06-15 | 11620 | Wednesday | 5 | 6 | 2016 | d_1965 | NaN | NaN | NaN | NaN | 0 | 1 | 1 |
1965 | 2016-06-16 | 11620 | Thursday | 6 | 6 | 2016 | d_1966 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
1966 | 2016-06-17 | 11620 | Friday | 7 | 6 | 2016 | d_1967 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
1967 | 2016-06-18 | 11621 | Saturday | 1 | 6 | 2016 | d_1968 | NaN | NaN | NaN | NaN | 0 | 0 | 0 |
1968 | 2016-06-19 | 11621 | Sunday | 2 | 6 | 2016 | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 |
1969 rows × 14 columns
calendar.info()
calendar.describe()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1969 entries, 0 to 1968 Data columns (total 14 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 date 1969 non-null object 1 wm_yr_wk 1969 non-null int64 2 weekday 1969 non-null object 3 wday 1969 non-null int64 4 month 1969 non-null int64 5 year 1969 non-null int64 6 d 1969 non-null object 7 event_name_1 162 non-null object 8 event_type_1 162 non-null object 9 event_name_2 5 non-null object 10 event_type_2 5 non-null object 11 snap_CA 1969 non-null int64 12 snap_TX 1969 non-null int64 13 snap_WI 1969 non-null int64 dtypes: int64(7), object(7) memory usage: 215.5+ KB
wm_yr_wk | wday | month | year | snap_CA | snap_TX | snap_WI | |
---|---|---|---|---|---|---|---|
count | 1969.000000 | 1969.000000 | 1969.000000 | 1969.000000 | 1969.000000 | 1969.000000 | 1969.000000 |
mean | 11347.086338 | 3.997461 | 6.325546 | 2013.288471 | 0.330117 | 0.330117 | 0.330117 |
std | 155.277043 | 2.001141 | 3.416864 | 1.580198 | 0.470374 | 0.470374 | 0.470374 |
min | 11101.000000 | 1.000000 | 1.000000 | 2011.000000 | 0.000000 | 0.000000 | 0.000000 |
25% | 11219.000000 | 2.000000 | 3.000000 | 2012.000000 | 0.000000 | 0.000000 | 0.000000 |
50% | 11337.000000 | 4.000000 | 6.000000 | 2013.000000 | 0.000000 | 0.000000 | 0.000000 |
75% | 11502.000000 | 6.000000 | 9.000000 | 2015.000000 | 1.000000 | 1.000000 | 1.000000 |
max | 11621.000000 | 7.000000 | 12.000000 | 2016.000000 | 1.000000 | 1.000000 | 1.000000 |
At the beginning of the sales time series of each item, there could be some zeros, meaning the product was not available. So it's necessary to extract the 1st week when the item went in stock, and discard the 0 sales before that time point.
sales.iloc[:3][sales.columns[6:]].T.plot()
<AxesSubplot:>
del sales, prices, calendar
sales = pd.read_csv(SALES_CSV)
prices = pd.read_csv(PRICES_CSV)
calendar = pd.read_csv(CALENDAR_CSV)
id_cols = ['id','item_id','dept_id','cat_id','store_id','state_id']
sales = pd.melt(sales, id_vars=id_cols, var_name='d', value_name='sales')
sales
id | item_id | dept_id | cat_id | store_id | state_id | d | sales | |
---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_001_CA_1_evaluation | HOBBIES_1_001 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0 |
1 | HOBBIES_1_002_CA_1_evaluation | HOBBIES_1_002 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0 |
2 | HOBBIES_1_003_CA_1_evaluation | HOBBIES_1_003 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0 |
3 | HOBBIES_1_004_CA_1_evaluation | HOBBIES_1_004 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0 |
4 | HOBBIES_1_005_CA_1_evaluation | HOBBIES_1_005 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0 |
... | ... | ... | ... | ... | ... | ... | ... | ... |
59181085 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | d_1941 | 1 |
59181086 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | d_1941 | 0 |
59181087 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | d_1941 | 2 |
59181088 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | d_1941 | 0 |
59181089 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | d_1941 | 1 |
59181090 rows × 8 columns
def add_test_rows(sales: pd.DataFrame, id_cols) -> pd.DataFrame:
index_df = sales[id_cols].drop_duplicates()
test_df = pd.DataFrame()
for d in range(1, 29):
df = index_df.copy()
df['d'] = f'd_{END_TRAIN + d}'
df[TARGET_COL] = np.nan
test_df = pd.concat([test_df, df], axis=0)
sales = pd.concat([sales, test_df]).reset_index(drop=True)
return sales
sales = add_test_rows(sales, id_cols)
sales
id | item_id | dept_id | cat_id | store_id | state_id | d | sales | |
---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_001_CA_1_evaluation | HOBBIES_1_001 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 |
1 | HOBBIES_1_002_CA_1_evaluation | HOBBIES_1_002 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 |
2 | HOBBIES_1_003_CA_1_evaluation | HOBBIES_1_003 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 |
3 | HOBBIES_1_004_CA_1_evaluation | HOBBIES_1_004 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 |
4 | HOBBIES_1_005_CA_1_evaluation | HOBBIES_1_005 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 |
... | ... | ... | ... | ... | ... | ... | ... | ... |
60034805 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN |
60034806 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN |
60034807 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN |
60034808 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN |
60034809 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN |
60034810 rows × 8 columns
instock = prices.groupby(['store_id', 'item_id'])['wm_yr_wk'].agg(['min']).reset_index()
instock.columns = list(instock)[:2] + ['instock_week']
instock
store_id | item_id | instock_week | |
---|---|---|---|
0 | CA_1 | FOODS_1_001 | 11101 |
1 | CA_1 | FOODS_1_002 | 11101 |
2 | CA_1 | FOODS_1_003 | 11101 |
3 | CA_1 | FOODS_1_004 | 11206 |
4 | CA_1 | FOODS_1_005 | 11101 |
... | ... | ... | ... |
30485 | WI_3 | HOUSEHOLD_2_512 | 11101 |
30486 | WI_3 | HOUSEHOLD_2_513 | 11311 |
30487 | WI_3 | HOUSEHOLD_2_514 | 11101 |
30488 | WI_3 | HOUSEHOLD_2_515 | 11352 |
30489 | WI_3 | HOUSEHOLD_2_516 | 11101 |
30490 rows × 3 columns
sales = pd.merge(sales, instock, on=['store_id', 'item_id'], how='left')
sales
id | item_id | dept_id | cat_id | store_id | state_id | d | sales | instock_week | |
---|---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_001_CA_1_evaluation | HOBBIES_1_001 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11325 |
1 | HOBBIES_1_002_CA_1_evaluation | HOBBIES_1_002 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11121 |
2 | HOBBIES_1_003_CA_1_evaluation | HOBBIES_1_003 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11401 |
3 | HOBBIES_1_004_CA_1_evaluation | HOBBIES_1_004 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11106 |
4 | HOBBIES_1_005_CA_1_evaluation | HOBBIES_1_005 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11117 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
60034805 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 |
60034806 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 |
60034807 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 |
60034808 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11331 |
60034809 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11405 |
60034810 rows × 9 columns
del instock, prices
sales = pd.merge(sales, calendar[['wm_yr_wk', 'd']], on=['d'], how='left')
sales
id | item_id | dept_id | cat_id | store_id | state_id | d | sales | instock_week | wm_yr_wk | |
---|---|---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_001_CA_1_evaluation | HOBBIES_1_001 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11325 | 11101 |
1 | HOBBIES_1_002_CA_1_evaluation | HOBBIES_1_002 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11121 | 11101 |
2 | HOBBIES_1_003_CA_1_evaluation | HOBBIES_1_003 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11401 | 11101 |
3 | HOBBIES_1_004_CA_1_evaluation | HOBBIES_1_004 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11106 | 11101 |
4 | HOBBIES_1_005_CA_1_evaluation | HOBBIES_1_005 | HOBBIES_1 | HOBBIES | CA_1 | CA | d_1 | 0.0 | 11117 | 11101 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
60034805 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 | 11621 |
60034806 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 | 11621 |
60034807 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11101 | 11621 |
60034808 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11331 | 11621 |
60034809 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | d_1969 | NaN | 11405 | 11621 |
60034810 rows × 10 columns
del calendar
sales = sales.query("wm_yr_wk >= instock_week").reset_index(drop=True)
sales['instock_week'] = (sales['instock_week'] - sales['instock_week'].min()).astype(np.int16) # minimize values to reduce memory
Also reduce memory usage.
for col in id_cols:
sales[col] = sales[col].astype('category')
reduce_mem_usage(sales)
sales.to_pickle(SALES_DATA_FILE)
del sales
Mem. usage decreased to 1002.86 Mb (35.3% reduction)
prices = pd.read_csv(PRICES_CSV)
calendar = pd.read_csv(CALENDAR_CSV)
sales = pd.read_pickle(SALES_DATA_FILE)
for feat in ['max', 'min', 'mean', 'std']:
prices[f'price_{feat}'] = prices.groupby(['store_id', 'item_id'])['sell_price'].transform(feat)
prices['price_norm'] = prices['sell_price'] / prices['price_max']
prices['price_unique'] = prices.groupby(['store_id', 'item_id'])['sell_price'].transform('nunique')
prices['item_unique'] = prices.groupby(['store_id', 'sell_price'])['item_id'].transform('nunique')
# Add month/year columns from Calendar data for temporary use
prices = pd.merge(prices, calendar[['wm_yr_wk', 'month', 'year']].drop_duplicates(subset=['wm_yr_wk']), on=['wm_yr_wk'], how='left')
# Add momentum columns
prices['price_growth'] = prices['sell_price'] / prices.groupby(['store_id', 'item_id'])['sell_price'].transform(lambda x: x.shift(1))
prices['price_deviation_month'] = prices['sell_price'] / prices.groupby(['store_id', 'item_id', 'month'])['sell_price'].transform('mean')
prices['price_deviation_year'] = prices['sell_price'] / prices.groupby(['store_id', 'item_id', 'year'])['sell_price'].transform('mean')
# Drop month/year columns
prices = prices.drop(['month', 'year'], axis=1)
prices
store_id | item_id | wm_yr_wk | sell_price | price_max | price_min | price_mean | price_std | price_norm | price_unique | item_unique | price_growth | price_deviation_month | price_deviation_year | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | CA_1 | HOBBIES_1_001 | 11325 | 9.58 | 9.58 | 8.26 | 8.285714 | 0.152139 | 1.000000 | 3 | 3 | NaN | 1.127059 | 1.145166 |
1 | CA_1 | HOBBIES_1_001 | 11326 | 9.58 | 9.58 | 8.26 | 8.285714 | 0.152139 | 1.000000 | 3 | 3 | 1.000000 | 1.127059 | 1.145166 |
2 | CA_1 | HOBBIES_1_001 | 11327 | 8.26 | 9.58 | 8.26 | 8.285714 | 0.152139 | 0.862213 | 3 | 5 | 0.862213 | 0.971765 | 0.987377 |
3 | CA_1 | HOBBIES_1_001 | 11328 | 8.26 | 9.58 | 8.26 | 8.285714 | 0.152139 | 0.862213 | 3 | 5 | 1.000000 | 1.000000 | 0.987377 |
4 | CA_1 | HOBBIES_1_001 | 11329 | 8.26 | 9.58 | 8.26 | 8.285714 | 0.152139 | 0.862213 | 3 | 5 | 1.000000 | 1.000000 | 0.987377 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
6841116 | WI_3 | FOODS_3_827 | 11617 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.000000 | 1.000000 | 1.000000 |
6841117 | WI_3 | FOODS_3_827 | 11618 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.000000 | 1.000000 | 1.000000 |
6841118 | WI_3 | FOODS_3_827 | 11619 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.000000 | 1.000000 | 1.000000 |
6841119 | WI_3 | FOODS_3_827 | 11620 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.000000 | 1.000000 | 1.000000 |
6841120 | WI_3 | FOODS_3_827 | 11621 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.000000 | 1.000000 | 1.000000 |
6841121 rows × 14 columns
on_cols = ['store_id', 'item_id', 'wm_yr_wk']
prices = pd.merge(sales[FLAT_INDEX_COLS + on_cols], prices, on=on_cols, how='left').drop(on_cols, axis=1)
prices
id | d | sell_price | price_max | price_min | price_mean | price_std | price_norm | price_unique | item_unique | price_growth | price_deviation_month | price_deviation_year | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_008_CA_1_evaluation | d_1 | 0.46 | 0.50 | 0.42 | 0.476312 | 0.019764 | 0.920000 | 4 | 16 | NaN | 0.968864 | 0.949452 |
1 | HOBBIES_1_009_CA_1_evaluation | d_1 | 1.56 | 1.77 | 1.56 | 1.764787 | 0.032731 | 0.881356 | 2 | 9 | NaN | 0.885926 | 0.896552 |
2 | HOBBIES_1_010_CA_1_evaluation | d_1 | 3.17 | 3.17 | 2.97 | 2.981348 | 0.046350 | 1.000000 | 2 | 20 | NaN | 1.064224 | 1.044376 |
3 | HOBBIES_1_012_CA_1_evaluation | d_1 | 5.98 | 6.52 | 5.98 | 6.469504 | 0.115991 | 0.917178 | 3 | 71 | NaN | 0.922035 | 0.959180 |
4 | HOBBIES_1_015_CA_1_evaluation | d_1 | 0.70 | 0.72 | 0.68 | 0.706596 | 0.011339 | 0.972222 | 3 | 16 | NaN | 0.990160 | 1.001752 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
47735392 | FOODS_3_823_WI_3_evaluation | d_1969 | 2.98 | 2.98 | 2.48 | 2.801560 | 0.171600 | 1.000000 | 5 | 206 | 1.0 | 1.031856 | 1.022790 |
47735393 | FOODS_3_824_WI_3_evaluation | d_1969 | 2.48 | 2.68 | 2.00 | 2.507979 | 0.253165 | 0.925373 | 4 | 135 | 1.0 | 0.986005 | 1.111908 |
47735394 | FOODS_3_825_WI_3_evaluation | d_1969 | 3.98 | 4.38 | 3.98 | 4.115957 | 0.188591 | 0.908676 | 3 | 150 | 1.0 | 0.957652 | 1.000000 |
47735395 | FOODS_3_826_WI_3_evaluation | d_1969 | 1.28 | 1.28 | 1.28 | 1.280000 | 0.000000 | 1.000000 | 1 | 44 | 1.0 | 1.000000 | 1.000000 |
47735396 | FOODS_3_827_WI_3_evaluation | d_1969 | 1.00 | 1.00 | 1.00 | 1.000000 | 0.000000 | 1.000000 | 1 | 142 | 1.0 | 1.000000 | 1.000000 |
47735397 rows × 13 columns
reduce_mem_usage(prices)
prices.to_pickle(PRICES_DATA_FILE)
del prices, sales
Mem. usage decreased to 1776.68 Mb (63.2% reduction)
prices = pd.read_csv(CALENDAR_CSV)
sales = pd.read_pickle(SALES_DATA_FILE)
cal_index_cols = ["date", "d"]
cal_event_cols = [
"event_name_1",
"event_type_1",
"event_name_2",
"event_type_2",
"snap_CA",
"snap_TX",
"snap_WI",
]
calendar = pd.merge(sales[FLAT_INDEX_COLS], calendar[cal_index_cols+cal_event_cols], on=['d'], how='left')
for col in cal_event_cols:
calendar[col] = calendar[col].astype('category')
calendar['date'] = pd.to_datetime(calendar['date'])
calendar['day'] = calendar['date'].dt.day.astype(np.int8)
calendar['week'] = calendar['date'].dt.isocalendar().week.astype(np.int8)
calendar['month'] = calendar['date'].dt.month.astype(np.int8)
calendar['year'] = (calendar['date'].dt.year - calendar['date'].dt.year.min()).astype(np.int8)
calendar['week_of_month'] = calendar['day'].apply(lambda day: ceil(day/7)).astype(np.int8)
calendar['weekday'] = calendar['date'].dt.dayofweek.astype(np.int8)
calendar['weekend'] = (calendar['weekday'] >= 5).astype(np.int8)
calendar.drop('date', axis=1, inplace=True)
calendar
id | d | event_name_1 | event_type_1 | event_name_2 | event_type_2 | snap_CA | snap_TX | snap_WI | day | week | month | year | week_of_month | weekday | weekend | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_008_CA_1_evaluation | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 | 29 | 4 | 1 | 0 | 5 | 5 | 1 |
1 | HOBBIES_1_009_CA_1_evaluation | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 | 29 | 4 | 1 | 0 | 5 | 5 | 1 |
2 | HOBBIES_1_010_CA_1_evaluation | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 | 29 | 4 | 1 | 0 | 5 | 5 | 1 |
3 | HOBBIES_1_012_CA_1_evaluation | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 | 29 | 4 | 1 | 0 | 5 | 5 | 1 |
4 | HOBBIES_1_015_CA_1_evaluation | d_1 | NaN | NaN | NaN | NaN | 0 | 0 | 0 | 29 | 4 | 1 | 0 | 5 | 5 | 1 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
47735392 | FOODS_3_823_WI_3_evaluation | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 | 19 | 24 | 6 | 5 | 3 | 6 | 1 |
47735393 | FOODS_3_824_WI_3_evaluation | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 | 19 | 24 | 6 | 5 | 3 | 6 | 1 |
47735394 | FOODS_3_825_WI_3_evaluation | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 | 19 | 24 | 6 | 5 | 3 | 6 | 1 |
47735395 | FOODS_3_826_WI_3_evaluation | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 | 19 | 24 | 6 | 5 | 3 | 6 | 1 |
47735396 | FOODS_3_827_WI_3_evaluation | d_1969 | NBAFinalsEnd | Sporting | Father's day | Cultural | 0 | 0 | 0 | 19 | 24 | 6 | 5 | 3 | 6 | 1 |
47735397 rows × 16 columns
reduce_mem_usage(calendar)
calendar.to_pickle(CALENDAR_DATA_FILE)
del calendar, sales
Mem. usage decreased to 1458.01 Mb (0.0% reduction)
sales = pd.read_pickle(SALES_DATA_FILE)
# Convert 'd' column to int
sales['d'] = sales['d'].apply(lambda x: x[2:]).astype(np.int16)
# Drop wm_yr_wk
sales.drop('wm_yr_wk', axis=1, inplace=True)
sales
sales.info()
sales.to_pickle(SALES_DATA_FILE)
id | item_id | dept_id | cat_id | store_id | state_id | d | sales | instock_week | |
---|---|---|---|---|---|---|---|---|---|
0 | HOBBIES_1_008_CA_1_evaluation | HOBBIES_1_008 | HOBBIES_1 | HOBBIES | CA_1 | CA | 1 | 12.0 | 0 |
1 | HOBBIES_1_009_CA_1_evaluation | HOBBIES_1_009 | HOBBIES_1 | HOBBIES | CA_1 | CA | 1 | 2.0 | 0 |
2 | HOBBIES_1_010_CA_1_evaluation | HOBBIES_1_010 | HOBBIES_1 | HOBBIES | CA_1 | CA | 1 | 0.0 | 0 |
3 | HOBBIES_1_012_CA_1_evaluation | HOBBIES_1_012 | HOBBIES_1 | HOBBIES | CA_1 | CA | 1 | 0.0 | 0 |
4 | HOBBIES_1_015_CA_1_evaluation | HOBBIES_1_015 | HOBBIES_1 | HOBBIES | CA_1 | CA | 1 | 4.0 | 0 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
47735392 | FOODS_3_823_WI_3_evaluation | FOODS_3_823 | FOODS_3 | FOODS | WI_3 | WI | 1969 | NaN | 0 |
47735393 | FOODS_3_824_WI_3_evaluation | FOODS_3_824 | FOODS_3 | FOODS | WI_3 | WI | 1969 | NaN | 0 |
47735394 | FOODS_3_825_WI_3_evaluation | FOODS_3_825 | FOODS_3 | FOODS | WI_3 | WI | 1969 | NaN | 0 |
47735395 | FOODS_3_826_WI_3_evaluation | FOODS_3_826 | FOODS_3 | FOODS | WI_3 | WI | 1969 | NaN | 230 |
47735396 | FOODS_3_827_WI_3_evaluation | FOODS_3_827 | FOODS_3 | FOODS | WI_3 | WI | 1969 | NaN | 304 |
47735397 rows × 9 columns
<class 'pandas.core.frame.DataFrame'> RangeIndex: 47735397 entries, 0 to 47735396 Data columns (total 9 columns): # Column Dtype --- ------ ----- 0 id category 1 item_id category 2 dept_id category 3 cat_id category 4 store_id category 5 state_id category 6 d int16 7 sales float16 8 instock_week int16 dtypes: category(6), float16(1), int16(2) memory usage: 638.7 MB
sales = pd.read_pickle(SALES_DATA_FILE)
sales_lags_rolling = sales[FLAT_INDEX_COLS + [TARGET_COL]].copy()
del sales
# Lags from 28 days to 28 + 15 days
n_lag_days = 15
sales_lags_rolling = sales_lags_rolling.assign(**{
f'{TARGET_COL}_lag_{lag_i}': sales_lags_rolling.groupby(['id'])[TARGET_COL].transform(lambda x: x.shift(lag_i)).astype(np.float16)
for lag_i in range(SHIFT_DAY, SHIFT_DAY + n_lag_days)
})
# Rollings on 28-day shift with different window lengths
win_lens = [7, 14, 30, 60, 180]
for window in win_lens:
sales_lags_rolling['rolling_mean_'+str(window)] = sales_lags_rolling.groupby(['id'])[TARGET_COL].transform(lambda x: x.shift(SHIFT_DAY).rolling(window).mean()).astype(np.float16)
sales_lags_rolling['rolling_std_'+str(window)] = sales_lags_rolling.groupby(['id'])[TARGET_COL].transform(lambda x: x.shift(SHIFT_DAY).rolling(window).std()).astype(np.float16)
# Rollings on sliding shifts with different window lengths
shift_days = [1, 7, 14]
win_lens = [7, 14, 30, 60]
for shift_d in shift_days:
for window in win_lens:
col = f"rolling_mean_shift{shift_d}_win{window}"
sales_lags_rolling[col] = sales_lags_rolling.groupby(['id'])[TARGET_COL].transform(lambda x: x.shift(shift_d).rolling(window).mean()).astype(np.float16)
reduce_mem_usage(sales_lags_rolling)
sales_lags_rolling.to_pickle(SALES_LAG_ROLL_STATS_FILE)
del sales_lags_rolling
Mem. usage decreased to 3643.16 Mb (0.0% reduction)
sales = pd.read_pickle(SALES_DATA_FILE)
# Empty result dataframe
sales_agg_stats = sales[FLAT_INDEX_COLS].copy()
# remove validation labels
val_index = sales.query(f"d > {1941 - 28}").index
sales.loc[val_index, TARGET_COL] = np.nan
# Level columns according to Table 1 in the Guide document
level_cols = [
["state_id"],
["store_id"],
["cat_id"],
["dept_id"],
["state_id", "cat_id"],
["state_id", "dept_id"],
["store_id", "cat_id"],
["store_id", "dept_id"],
["item_id"],
["item_id", "state_id"],
["item_id", "store_id"],
]
# Create mean / std of sales for each level
for level_i, level_col in enumerate(level_cols, start=2):
col = f"level{level_i}_" + "_".join(level_col)
sales_agg_stats[col + '_mean'] = sales.groupby(level_col)["sales"].transform("mean").astype(np.float16)
sales_agg_stats[col + '_std'] = sales.groupby(level_col)["sales"].transform("std").astype(np.float16)
reduce_mem_usage(sales_agg_stats)
sales_agg_stats.to_pickle(SALES_AGG_STATS_FILE)
del sales_agg_stats, sales
Mem. usage decreased to 2185.39 Mb (0.0% reduction)
sales = pd.read_pickle(SALES_DATA_FILE)
prices = pd.read_pickle(PRICES_DATA_FILE)
calendar = pd.read_pickle(CALENDAR_DATA_FILE)
sales.columns
prices.columns
calendar.columns
Index(['id', 'item_id', 'dept_id', 'cat_id', 'store_id', 'state_id', 'd', 'sales', 'instock_week'], dtype='object')
Index(['id', 'd', 'sell_price', 'price_max', 'price_min', 'price_mean', 'price_std', 'price_norm', 'price_unique', 'item_unique', 'price_growth', 'price_deviation_month', 'price_deviation_year'], dtype='object')
Index(['id', 'd', 'event_name_1', 'event_type_1', 'event_name_2', 'event_type_2', 'snap_CA', 'snap_TX', 'snap_WI', 'day', 'week', 'month', 'year', 'week_of_month', 'weekday', 'weekend'], dtype='object')
sales.shape
prices.shape
calendar.shape
(47735397, 9)
(47735397, 13)
(47735397, 16)
data_processed = pd.concat([sales, prices[prices.columns[2:]], calendar[calendar.columns[2:]]], axis=1)
data_processed.to_pickle(SALES_PRICES_CALENDAR_DATA_FILE)
Run Global definitions before run this section.
# data = pd.read_pickle(SALES_PRICES_CALENDAR_DATA_FILE)
# IDs_ALL = {
# "store_id": data['store_id'].unique().tolist(),
# "cat_id": data['cat_id'].unique().tolist(),
# "dept_id": data['dept_id'].unique().tolist(),
# }
IDs_ALL = {
"store_id": [
"CA_1",
"CA_2",
"CA_3",
"CA_4",
"TX_1",
"TX_2",
"TX_3",
"WI_1",
"WI_2",
"WI_3",
],
"cat_id": ["HOBBIES", "HOUSEHOLD", "FOODS"],
"dept_id": [
"HOBBIES_1",
"HOBBIES_2",
"HOUSEHOLD_1",
"HOUSEHOLD_2",
"FOODS_1",
"FOODS_2",
"FOODS_3",
],
}
# sales_lag_rolling_stats_cols = pd.read_pickle(SALES_LAG_ROLL_STATS_FILE).columns
# sales_agg_stats_cols = pd.read_pickle(SALES_AGG_STATS_FILE).columns
sales_lag_rolling_stats_cols = [
"id",
"d",
"sales",
"sales_lag_28",
"sales_lag_29",
"sales_lag_30",
"sales_lag_31",
"sales_lag_32",
"sales_lag_33",
"sales_lag_34",
"sales_lag_35",
"sales_lag_36",
"sales_lag_37",
"sales_lag_38",
"sales_lag_39",
"sales_lag_40",
"sales_lag_41",
"sales_lag_42",
"rolling_mean_7",
"rolling_std_7",
"rolling_mean_14",
"rolling_std_14",
"rolling_mean_30",
"rolling_std_30",
"rolling_mean_60",
"rolling_std_60",
"rolling_mean_180",
"rolling_std_180",
"rolling_mean_shift1_win7",
"rolling_mean_shift1_win14",
"rolling_mean_shift1_win30",
"rolling_mean_shift1_win60",
"rolling_mean_shift7_win7",
"rolling_mean_shift7_win14",
"rolling_mean_shift7_win30",
"rolling_mean_shift7_win60",
"rolling_mean_shift14_win7",
"rolling_mean_shift14_win14",
"rolling_mean_shift14_win30",
"rolling_mean_shift14_win60",
]
sales_agg_stats_cols = [
"id",
"d",
"level2_state_id_mean",
"level2_state_id_std",
"level3_store_id_mean",
"level3_store_id_std",
"level4_cat_id_mean",
"level4_cat_id_std",
"level5_dept_id_mean",
"level5_dept_id_std",
"level6_state_id_cat_id_mean",
"level6_state_id_cat_id_std",
"level7_state_id_dept_id_mean",
"level7_state_id_dept_id_std",
"level8_store_id_cat_id_mean",
"level8_store_id_cat_id_std",
"level9_store_id_dept_id_mean",
"level9_store_id_dept_id_std",
"level10_item_id_mean",
"level10_item_id_std",
"level11_item_id_state_id_mean",
"level11_item_id_state_id_std",
"level12_item_id_store_id_mean",
"level12_item_id_store_id_std",
]
loop_cols_L3_store = ['store_id']
loop_cols_L8_store_cat = ['store_id', 'cat_id']
loop_cols_L9_store_dept = ['store_id', 'dept_id']
drop_cols_L3_store = ['state_id', 'store_id']
drop_cols_L8_store_cat = ['state_id', 'store_id', 'cat_id']
drop_cols_L9_store_dept = ['state_id', 'store_id', 'cat_id', 'dept_id']
rec_lag_rolling_cols = sales_lag_rolling_stats_cols[3:]
nonrec_lag_rolling_cols = [f'sales_lag_{i}' for i in range(28, 43)] + [f'rolling_{stat}_{i}' for i in (7, 14, 30, 60, 180) for stat in ('mean', 'std')]
rec_agg_stats_cols_L3_store = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level4', 'level5', 'level10')]
rec_agg_stats_cols_L8_store_cat = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level9', 'level12')]
rec_agg_stats_cols_L9_store_dept = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level12',)]
nonrec_agg_stats_cols_L3_store = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level9', 'level11')]
nonrec_agg_stats_cols_L8_store_cat = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level9', 'level12')]
nonrec_agg_stats_cols_L9_store_dept = [col for col in sales_agg_stats_cols if col.split('_')[0] in ('level12',)]
rec_start_d_L3 = 0
rec_start_d_L8 = 700
rec_start_d_L9 = 700
rec_num_leaves_L3 = 2*11 - 1
rec_num_leaves_L8 = 2**8 - 1
rec_num_leaves_L9 = 2**8 - 1
rec_min_data_in_leaf_L3 = 2**12 - 1
rec_min_data_in_leaf_L8 = 2**8 - 1
rec_min_data_in_leaf_L9 = 2**8 - 1
nonrec_start_d = 710
nonrec_num_leaves = 2**8 - 1
nonrec_min_data_in_leaf = 2**8 - 1
feature_hyperparas = {
"rec_L3_store": {
"loop_cols": loop_cols_L3_store,
"drop_cols": drop_cols_L3_store,
"lag_rolling_cols": rec_lag_rolling_cols,
"agg_stats_cols": rec_agg_stats_cols_L3_store,
"start_d": rec_start_d_L3,
"num_leaves": rec_num_leaves_L3,
"min_data_in_leaf": rec_min_data_in_leaf_L3,
},
"rec_L8_store_cat": {
"loop_cols": loop_cols_L8_store_cat,
"drop_cols": drop_cols_L8_store_cat,
"lag_rolling_cols": rec_lag_rolling_cols,
"agg_stats_cols": rec_agg_stats_cols_L8_store_cat,
"start_d": rec_start_d_L8,
"num_leaves": rec_num_leaves_L8,
"min_data_in_leaf": rec_min_data_in_leaf_L8,
},
"rec_L9_store_dept": {
"loop_cols": loop_cols_L9_store_dept,
"drop_cols": drop_cols_L9_store_dept,
"lag_rolling_cols": rec_lag_rolling_cols,
"agg_stats_cols": rec_agg_stats_cols_L9_store_dept,
"start_d": rec_start_d_L9,
"num_leaves": rec_num_leaves_L9,
"min_data_in_leaf": rec_min_data_in_leaf_L9,
},
"nonrec_L3_store": {
"loop_cols": loop_cols_L3_store,
"drop_cols": drop_cols_L3_store,
"lag_rolling_cols": nonrec_lag_rolling_cols,
"agg_stats_cols": nonrec_agg_stats_cols_L3_store,
"start_d": nonrec_start_d,
"num_leaves": nonrec_num_leaves,
"min_data_in_leaf": nonrec_min_data_in_leaf,
},
"nonrec_L8_store_cat": {
"loop_cols": loop_cols_L8_store_cat,
"drop_cols": drop_cols_L8_store_cat,
"lag_rolling_cols": nonrec_lag_rolling_cols,
"agg_stats_cols": nonrec_agg_stats_cols_L8_store_cat,
"start_d": nonrec_start_d,
"num_leaves": nonrec_num_leaves,
"min_data_in_leaf": nonrec_min_data_in_leaf,
},
"nonrec_L9_store_dept": {
"loop_cols": loop_cols_L9_store_dept,
"drop_cols": drop_cols_L9_store_dept,
"lag_rolling_cols": nonrec_lag_rolling_cols,
"agg_stats_cols": nonrec_agg_stats_cols_L9_store_dept,
"start_d": nonrec_start_d,
"num_leaves": nonrec_num_leaves,
"min_data_in_leaf": nonrec_min_data_in_leaf,
},
}
lgb_hyperparas = {
"boosting": "gbdt",
"objective": "tweedie",
"tweedie_variance_power": 1.1,
"metric": "rmse",
"bagging_fraction": 0.5,
"bagging_freq": 1,
"learning_rate": 0.015,
"num_leaves": 2 ** 8 - 1,
"min_data_in_leaf": 2 ** 8 - 1,
"feature_fraction": 0.5,
"max_bin": 100,
"num_iterations": 3000,
"boost_from_average": False,
"verbosity": -1, # FATAL, suppress lgb warnings
"seed": 1995,
"num_threads": 10
}
def get_data_for_modeling(loop_ids: tuple, hyperparas: dict) -> tuple:
"""
Read data and Filter / Merge features per aggregation level and IDs.
"""
global ID_D_TARGET_COLS
global SALES_PRICES_CALENDAR_DATA_FILE, SALES_LAG_ROLL_STATS_FILE, SALES_AGG_STATS_FILE
print("Load SALES_PRICES_CALENDAR_DATA_FILE ...")
data = pd.read_pickle(SALES_PRICES_CALENDAR_DATA_FILE)
# Cut off from starting day
print("Cut off from starting day ...")
data = data[data['d'] >= hyperparas['start_d']]
# Filter data by agg level ids
print("Create agg id filter mask ...")
id_mask = True
for loop_col, loop_val in zip(hyperparas['loop_cols'], loop_ids):
id_mask &= (data[loop_col] == loop_val)
data = data[id_mask]
# Drop aggregated id columns
data = data.drop(hyperparas['drop_cols'], axis=1)
# Lags / rollings features
print("Load lag rolling stats ...")
df_lags_rolling = pd.read_pickle(SALES_LAG_ROLL_STATS_FILE)[hyperparas['lag_rolling_cols']]
df_lags_rolling = df_lags_rolling[df_lags_rolling.index.isin(data.index)]
# Agg mean/std features
print("Load agg stats ...")
df_agg_mean_std = pd.read_pickle(SALES_AGG_STATS_FILE)[hyperparas['agg_stats_cols']]
df_agg_mean_std = df_agg_mean_std[df_agg_mean_std.index.isin(data.index)]
# Merge data
print("Merge data with stats ...")
data = pd.concat([data, df_lags_rolling, df_agg_mean_std], axis=1).reset_index(drop=True)
features = [col for col in data.columns if col not in ID_D_TARGET_COLS]
return data, features
def get_train_val_test_data(loop_ids, hyperparas):
global END_TRAIN, SHIFT_DAY, TARGET_COL, FLAT_INDEX_COLS
data, features = get_data_for_modeling(loop_ids, hyperparas)
train_mask = data['d'] <= END_TRAIN
valid_mask = (data['d'] > END_TRAIN - SHIFT_DAY) & train_mask
test_mask = ~train_mask
train = lgb.Dataset(data[train_mask][features], label=data[train_mask][TARGET_COL])
X_valid = data[valid_mask][features]
valid = lgb.Dataset(X_valid, label=data[valid_mask][TARGET_COL])
id_valid = data[valid_mask][FLAT_INDEX_COLS]
id_valid['id'] = id_valid['id'].str.replace('evaluation', 'validation')
test = data[test_mask]
X_test = test[features]
id_test = test[FLAT_INDEX_COLS]
return train, valid, X_valid, id_valid, X_test, id_test
def train_one_model(train, valid, hyperparas: dict, lgb_hyperparas=lgb_hyperparas) -> None:
"""
At a particular aggregation level, train one model for a particular id group (e.g. store_id and cat_id).
"""
# Update parameters
lgb_hyperparas = lgb_hyperparas.copy()
lgb_hyperparas['num_leaves'] = hyperparas['num_leaves']
lgb_hyperparas['min_data_in_leaf'] = hyperparas['min_data_in_leaf']
# Train
random.seed(42)
np.random.seed(42)
warnings.filterwarnings('ignore')
model = lgb.train(lgb_hyperparas, train, valid_sets=[valid, train], callbacks=[lgb.log_evaluation(period=100)])
warnings.filterwarnings('default')
# Feature importace
featimp = pd.DataFrame({'feature': model.feature_name(), 'importance': model.feature_importance()}).sort_values('importance', ascending=False)
return model, featimp
def predict_one_model(X_test: pd.DataFrame, id_test: pd.DataFrame, model):
global TARGET_COL
id_test[TARGET_COL] = model.predict(X_test)
return id_test
def train_predict_one_level(agg_level, feature_hyperparas=feature_hyperparas):
global IDs_ALL
hyperparas = feature_hyperparas[agg_level]
loop_ids_all = list(product(*(IDs_ALL[col] for col in hyperparas['loop_cols'])))
results = {}
for loop_ids in loop_ids_all:
print(f'\n=== Train / Predict {agg_level} - {loop_ids} ===')
print("Get data and split to Train / Validation / Test ...")
train, valid, X_valid, id_valid, X_test, id_test = get_train_val_test_data(loop_ids, hyperparas)
print("Train model ...")
model, featimp = train_one_model(train, valid, hyperparas)
print("Predict ...")
val_pred = predict_one_model(X_valid, id_valid, model)
test_pred = predict_one_model(X_test, id_test, model)
# Save results
print("Dump model and results ...")
loop_ids_str = '_'.join(list(loop_ids))
results[loop_ids_str] = {
'model': model,
'feature_importance': featimp,
'val_pred': val_pred,
'test_pred': test_pred,
}
joblib.dump(results, f'{agg_level}.pkl') # overwrite at each iteration
train_predict_one_level('rec_L3_store')
train_predict_one_level('rec_L8_store_cat')
train_predict_one_level('rec_L9_store_dept')
train_predict_one_level('nonrec_L3_store')
train_predict_one_level('nonrec_L8_store_cat')
train_predict_one_level('nonrec_L9_store_dept')
result_files = [RESULTS_DIR + f for f in ('rec_L3_store.pkl', 'rec_L8_store_cat.pkl', 'rec_L9_store_dept.pkl', 'nonrec_L3_store.pkl', 'nonrec_L8_store_cat.pkl', 'nonrec_L9_store_dept.pkl')]
def combine_predictions(result_files=result_files):
sample = pd.read_csv(SAMPLE_SUBMISSION_CSV).set_index('id')
pred_list = []
for result_f in result_files:
print(f"Process {result_f}")
result = joblib.load(result_f)
val_pred = pd.concat((r['val_pred'] for r in result.values()), axis=0)
test_pred = pd.concat((r['test_pred'] for r in result.values()), axis=0)
val_pred = val_pred.pivot(index='id', columns='d', values=TARGET_COL)
test_pred = test_pred.pivot(index='id', columns='d', values=TARGET_COL)
val_pred.columns = [f'F{i}' for i in range(1, 29)]
test_pred.columns = [f'F{i}' for i in range(1, 29)]
pred = pd.concat([val_pred, test_pred], axis=0)
pred = pred.reindex(sample.index)
pred_list.append(pred)
pred = sum(pred_list) / len(pred_list)
pred.to_csv(SUBMISSION_FILE, index=True)
combine_predictions()
Process results/rec_L3_store.pkl Process results/rec_L8_store_cat.pkl Process results/rec_L9_store_dept.pkl Process results/nonrec_L3_store.pkl Process results/nonrec_L8_store_cat.pkl Process results/nonrec_L9_store_dept.pkl