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  1. .gitattributes +4 -0
  2. ALDI_2017.png +0 -0
  3. Full_Logo_Blue.jpeg +0 -0
  4. Full_Logo_Blue.jpg +0 -0
  5. Full_Logo_Blue.png +0 -0
  6. Full_Logo_Vibrant_Turquoise.png +0 -0
  7. LIME_logo.png +0 -0
  8. Media_data_for_model.csv +182 -0
  9. Media_data_for_model_dma_level.csv +538 -0
  10. Model/model_0.pkl +3 -0
  11. Model/model_1.pkl +3 -0
  12. Model/model_2.pkl +3 -0
  13. Model/model_3.pkl +3 -0
  14. Model/model_4.pkl +3 -0
  15. Model/model_5.pkl +3 -0
  16. Model/model_6.pkl +3 -0
  17. Model/model_7.pkl +3 -0
  18. Model/model_8.pkl +3 -0
  19. Model/model_9.pkl +3 -0
  20. Model_Result_Overview.py +212 -0
  21. Overview_data_test.xlsx +0 -0
  22. Overview_data_test_panel@#revenue.xlsx +0 -0
  23. Pickle_files/category_dict +0 -0
  24. Pickle_files/main_df +3 -0
  25. README.md +12 -12
  26. Scenario.py +338 -0
  27. Test/X_test_tuned_trend.csv +971 -0
  28. Test/X_train_test_tuned_trend.csv +0 -0
  29. Test/X_train_tuned_trend.csv +0 -0
  30. Test/merged_df_contri.csv +0 -0
  31. Test/output_df.csv +157 -0
  32. Test/scenario_test_df.csv +157 -0
  33. Test/x_test_contribution.csv +0 -0
  34. Test/x_test_to_save.csv +0 -0
  35. Test/x_train_contribution.csv +0 -0
  36. Test/x_train_to_save.csv +0 -0
  37. Transformation_functions.py +133 -0
  38. __pycache__/Data_prep_functions.cpython-39.pyc +0 -0
  39. __pycache__/Data_validation.cpython-39.pyc +0 -0
  40. __pycache__/Eda.cpython-39.pyc +0 -0
  41. __pycache__/Eda_functions.cpython-39.pyc +0 -0
  42. __pycache__/Transformation_functions.cpython-39.pyc +0 -0
  43. __pycache__/classes.cpython-310.pyc +0 -0
  44. __pycache__/classes.cpython-39.pyc +0 -0
  45. __pycache__/utilities.cpython-310.pyc +0 -0
  46. __pycache__/utilities.cpython-39.pyc +0 -0
  47. __pycache__/utilities_with_panel.cpython-39.pyc +0 -0
  48. classes.py +502 -0
  49. config.yaml +13 -0
  50. data_import.pkl +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ Pickle_files/main_df filter=lfs diff=lfs merge=lfs -text
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+ upf_data_converted_old.xlsx filter=lfs diff=lfs merge=lfs -text
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+ upf_data_converted_randomized_resp_metrics.xlsx filter=lfs diff=lfs merge=lfs -text
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+ upf_data_converted.xlsx filter=lfs diff=lfs merge=lfs -text
ALDI_2017.png ADDED
Full_Logo_Blue.jpeg ADDED
Full_Logo_Blue.jpg ADDED
Full_Logo_Blue.png ADDED
Full_Logo_Vibrant_Turquoise.png ADDED
LIME_logo.png ADDED
Media_data_for_model.csv ADDED
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+ 28/05/2023,4195,1302,2026053,5703,12334,2609966,0,2190,0,3737,0,5030,0,1401,3376177,1447089,2563297,42359,13543,D1,P1,13124,25607,1374,2558180,722,72200,2096,2630380,5282.85,3554.29
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+ 29/05/2023,5265,1798,2328823,6483,14783,2537637,0,3954,0,5211,0,221,0,1575,3765997,1720747,2865333,39579,8116,D1,P1,15619,30688,1585,2979010,785,78500,2370,3057510,5961.63,4097.14
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+ 30/05/2023,3879,1366,2294654,6008,15979,2489630,0,4465,0,6041,0,6,0,1192,3790830,1751416,2822819,37234,8830,D1,P1,17258,32693,1773,3270270,900,90000,2673,3360270,6752.47,4596.75
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+ 31/05/2023,3933,1348,1645187,4081,14208,2337652,0,3797,0,4794,0,6,0,888,4151434,1953620,2714074,45856,6861,D1,P1,16458,31379,1688,3065730,924,92400,2612,3158130,6598.66,4373.22
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+ 1/6/2023,4817,1530,1862175,4841,48192,3241822,0,3060,0,4802,0,12820,0,1137,4151797,1903421,2255850,51175,7095,D1,P1,17582,34622,1700,3231430,909,90900,2609,3322330,6342.48,4257.19
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+ 13/06/2023,3556,1254,4626697,12984,258088,5952266,0,2095,0,10415,0,59770,0,1016,4508060,1912958,3440789,47281,4630,D1,P1,35764,67060,2737,5184020,1530,153000,4266,5335600,7908.1,5200.7
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+ 14/06/2023,3178,1060,3389530,10298,685692,10454400,0,2258,0,24457,0,16016,0,1101,4573214,1920050,3160905,41549,5083,D1,P1,27677,56158,2257,4257990,1244,124400,3501,4382390,7187.71,4826.11
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+ 16/06/2023,2705,947,2923279,11124,1166424,11840950,0,1780,0,8938,0,24339,0,966,4533368,1939737,2881833,41872,4604,D1,P1,22957,49677,2225,4445430,1154,115400,3379,4560830,6663.77,4416.03
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+ 17/06/2023,3697,1154,2955836,10440,807683,9748201,0,2139,0,5741,0,54129,0,766,4958344,2059487,3183051,52618,3675,D1,P1,26623,53187,2434,4755560,1286,128600,3723,4890110,6983.5,4694.41
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+ 18/06/2023,3229,1080,3280006,12373,116340,8176712,0,1481,0,4741,0,16724,0,864,4270249,1735486,3251229,39780,3696,D1,P1,16690,36522,1715,3294460,936,93600,2651,3388060,5614.57,3749.6
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+ 20/06/2023,2422,857,6734594,28910,52166,4718912,0,2205,0,10284,0,30610,0,1002,4218772,1771102,2058734,42288,4260,D1,P1,27941,52107,2478,4829920,1398,139800,3876,4969720,7584.9,4974.28
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+ 21/06/2023,3366,1132,4784180,17247,52817,5971594,0,3387,0,9277,0,41697,0,645,4113884,1743016,2111350,44159,4193,D1,P1,28338,53853,2376,4353550,1357,135700,3733,4489250,7214.21,4702.88
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+ 22/06/2023,2841,924,3300680,13360,29784,6803330,0,4064,0,7068,0,68638,0,481,3738171,1533407,1597072,35381,4173,D1,P1,34683,62182,2532,4863520,1434,143400,3966,5006920,7223.75,4679.68
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+ 30/06/2023,1258,454,3088874,7943,902115,10945715,0,8904,0,9611,0,62404,0,1029,4945464,1946944,1835310,52445,2839,D1,P1,30707,67849,2616,5112840,1397,139700,4013,5252540,7664.09,5203.16
55
+ 1/7/2023,1641,539,3872657,12034,191537,12141356,0,4956,0,6049,0,31194,0,923,5328149,2224200,2123805,56724,2513,D1,P1,22229,54353,2266,4505840,1205,120500,3471,4626340,6983.83,4746.37
56
+ 2/7/2023,1336,485,5799582,17238,576858,12180985,0,4148,0,4670,0,4766,0,617,4527404,1997256,2038953,50510,21201,D1,P1,15205,43684,1672,3328290,886,88600,2559,3416990,5952.59,4038.91
57
+ 3/7/2023,2712,924,9986061,28191,442261,14059535,0,5347,0,7408,0,19028,0,1044,4179823,1854231,2234940,57543,14473,D1,P1,22798,57392,2425,4796940,1308,130800,3732,4925290,7701.44,5182.84
58
+ 4/7/2023,4137,1419,4717456,14519,2137830,14463201,0,6164,0,8277,0,12283,0,1531,4449073,1959412,2350308,49085,9854,D1,P1,23585,60143,2220,4262060,1327,132700,3547,4394760,7689.38,5021.95
59
+ 5/7/2023,4166,1422,4779589,12676,2354716,18574154,0,7967,0,11552,0,6628,0,1420,4464681,1969744,2390838,41411,12751,D1,P1,22847,61021,2348,4359400,1422,142200,3769,4497600,7976.49,5170.89
60
+ 6/7/2023,4182,1444,4939385,12222,2364811,15879491,0,6575,0,8461,0,18225,0,997,4490815,1942923,2239375,44808,16216,D1,P1,23716,60282,2602,4960450,1543,154300,4145,5114750,8225.73,5423.76
61
+ 7/7/2023,3497,1181,3121447,7534,1063284,17341347,0,6025,0,8113,0,25962,0,659,4891573,2128787,1976413,57373,12464,D1,P1,23336,58252,2335,4783910,1269,126900,3604,4910810,7182.26,4846.37
62
+ 8/7/2023,2760,856,3295227,9788,1119268,19207341,0,4102,0,6195,0,40506,0,832,5039604,2277255,2330435,44052,15163,D1,P1,22278,62471,2128,4352160,1191,119100,3319,4471260,6706.12,4485.38
63
+ 9/7/2023,2809,875,3913741,11815,749310,25182206,0,6420,0,5222,0,49626,0,718,4669470,2144473,3908306,49659,11716,D1,P1,24736,69003,2620,5573560,1325,132500,3945,5706060,7673.85,5278.59
64
+ 10/7/2023,4312,1489,5972974,18402,1511035,25950979,0,9842,0,10638,0,36204,0,935,4584106,2019220,4391654,52303,12983,D1,P1,28497,78251,2578,5157430,1419,141900,3997,5299330,8174.81,5453.8
65
+ 11/7/2023,4579,1550,4999618,16469,559119,23938153,0,11688,0,36570,0,25216,0,1289,4458364,1932300,4150666,47979,12292,D1,P1,28688,77223,2707,5384090,1483,148300,4190,5532390,8594.12,5787.78
66
+ 12/7/2023,4079,1418,4465722,13191,583520,25196511,0,4610,0,9813,0,20388,0,1210,4558876,2000168,4109583,54631,12366,D1,P1,25749,73523,2403,4926480,1410,141000,3813,5067480,8000.73,5259.61
67
+ 13/07/2023,3719,1260,4635033,12302,903614,25720336,0,7867,0,6792,0,22248,0,857,4596184,1957206,3729970,48474,11017,D1,P1,22447,69283,2134,4261960,1312,131200,3447,4393760,7385.89,4769.15
68
+ 14/07/2023,3632,1224,3441594,9800,1566300,28606996,0,6726,0,6172,0,14670,0,432,4683387,2007387,3912229,52588,10079,D1,P1,19225,67928,2002,3875450,1077,107700,3079,3983150,6615.15,4505.74
69
+ 15/07/2023,2909,941,6025085,21326,1836196,28705476,0,5705,0,4369,0,31202,0,595,5008167,2251661,3727627,58143,10214,D1,P1,19533,64001,2026,4112810,1066,106600,3093,4220310,6115.73,4122.89
70
+ 16/07/2023,2818,853,7339565,26586,4043959,26752554,0,7733,0,3961,0,27180,0,1082,4716541,2092258,2114014,59204,11281,D1,P1,18871,60797,1956,3715100,1126,112600,3084,3832400,6216.99,4066.5
71
+ 17/07/2023,4420,1486,9638491,32269,819444,29437537,0,11485,0,5220,0,66236,0,2418,4359325,1937825,1989872,55815,11896,D1,P1,35493,89662,2771,5539890,1521,152100,4292,5691990,8025.2,5388.69
72
+ 18/07/2023,4574,1551,9498457,31230,1206114,29164369,0,5012,0,7146,0,47074,0,2358,4882304,2163458,2157773,69573,12604,D1,P1,32238,84091,2687,5214920,1329,132900,4016,5347820,7833.63,5336.47
73
+ 19/07/2023,4632,1537,9742535,26935,1491736,30394328,0,6147,0,7028,0,11807,0,1476,4613422,2080215,1981362,67495,12116,D1,P1,23193,69138,2342,4581910,1084,108400,3426,4690310,7118.68,4991.3
74
+ 20/07/2023,4891,1632,7630122,20720,2370192,23939153,0,6261,0,5635,0,17220,0,1338,4484291,1922090,1663127,75312,12252,D1,P1,23193,63445,2209,4471970,995,99500,3255,4576570,6700.79,4599.1
75
+ 21/07/2023,3978,1378,7284968,21477,2456715,17869335,0,6360,0,10877,0,11431,0,769,4519305,1975730,1686467,68931,10065,D1,P1,21478,57996,2115,4257360,1006,100600,3121,4357960,6467.01,4497.43
76
+ 22/07/2023,3151,978,5638955,16181,2015345,12808440,0,7097,0,5145,0,13811,0,699,4689346,2086993,1861883,71898,9081,D1,P1,17602,50209,1897,3876970,830,83000,2727,3959970,5812.35,4126.62
77
+ 23/07/2023,2905,986,6133144,16089,881691,11267535,0,5593,0,4746,0,68021,0,514,4242878,1843843,1681215,61164,10797,D1,P1,25804,58279,2442,5168300,1161,116100,3603,5284400,6622.56,4639.27
78
+ 24/07/2023,4606,1651,8830736,21931,189913,35658281,0,8836,0,6040,0,64066,0,1626,3943001,1708849,1900126,59494,10236,D1,P1,31953,73505,2898,6111230,1424,142400,4321,6253530,8030.22,5492.47
79
+ 25/07/2023,4414,1597,7750251,15384,3348941,25011847,0,10262,0,9572,0,15072,0,916,3976490,1729916,1911109,68826,11468,D1,P1,26162,65005,2440,4822810,1154,115400,3594,4938210,7092.81,4965.39
80
+ 26/07/2023,4488,1530,8125332,16391,1040452,24380635,0,9947,0,16453,0,38777,0,1551,3837786,1680967,1856885,74924,13290,D1,P1,31894,69746,2797,5552460,1348,134800,4147,5687460,7359.12,5027.76
81
+ 27/07/2023,4105,1494,8054962,14724,220302,13070502,0,6758,0,8841,0,20622,0,1313,3636297,1544742,1772602,63935,11680,D1,P1,24634,57255,2498,5018670,1196,119600,3694,5138270,7106.66,4875.99
82
+ 28/07/2023,3743,1318,6955526,11566,3991586,5347413,0,10451,0,8496,0,20184,0,1563,3890784,1680538,1608577,73120,11390,D1,P1,22265,50660,2204,4515740,1054,105400,3258,4621140,6441.87,4432.07
83
+ 29/07/2023,3395,1192,5132501,9837,1349895,4441709,0,7115,0,5449,0,18983,0,1129,4295602,1813637,1824777,80511,11911,D1,P1,17626,42341,1930,3807270,860,86000,2790,3893270,5519.71,3922.54
84
+ 30/07/2023,2746,903,4903153,11018,710000,4431986,0,8491,0,4599,0,24834,0,1109,3924352,1733790,1740605,72221,11440,D1,P1,17619,43309,1942,3937090,834,83400,2776,4020490,5556.3,3945.89
85
+ 31/07/2023,4208,1476,6832832,19648,1721973,4079656,0,7754,0,7818,0,27918,0,2050,3760475,1501134,1957900,62124,11605,D1,P1,22728,51399,2256,4604950,1046,104600,3302,4709550,6481.79,4556.75
86
+ 1/8/2023,4203,1489,6398210,15890,2250090,5457683,0,7588,0,7948,0,61894,0,1248,3687038,1439092,1774701,61448,11492,D1,P1,31009,67515,2609,5471270,1309,130900,3918,5602170,6825.97,4671.87
87
+ 2/8/2023,4285,1515,5402871,14825,785167,6582085,0,6079,0,7236,0,79041,0,1345,3807266,1493340,2025308,54506,11515,D1,P1,34034,74123,2858,5856910,1360,136000,4218,5992910,7171.23,4989.3
88
+ 3/8/2023,4667,1744,4724924,8903,1111815,10407793,0,9077,0,7117,0,31714,0,1983,3797879,1479623,1718831,52587,11408,D1,P1,23978,62504,2404,4832400,1095,109500,3498,4941800,6670.71,4627.48
89
+ 4/8/2023,4201,1562,3732952,9116,4574481,10660977,0,8436,0,6970,0,25097,0,1055,3814852,1466211,1374674,57482,10785,D1,P1,21714,62922,2226,4561560,975,97500,3201,4659060,6133.71,4366.77
90
+ 5/8/2023,3080,1110,3310732,9884,3460283,11580456,0,5735,0,5049,0,5911,0,704,4048945,1601234,1442690,65158,9942,D1,P1,13792,52995,1578,3188640,720,72000,2298,3260640,4760.04,3375.44
91
+ 6/8/2023,2809,979,4153998,11663,5103054,8381689,0,4868,0,4184,0,28658,0,637,4040770,1250223,1844909,47698,10816,D1,P1,17706,56827,1841,3921270,842,84200,2683,4005470,5062.91,3520.39
92
+ 7/8/2023,3522,1186,3164171,10000,4137349,8709017,0,6112,0,6640,0,43866,0,1285,3928811,1288638,1861166,44623,11648,D1,P1,26772,71580,2456,4923260,1132,113200,3587,5034960,6580.87,4648.84
93
+ 8/8/2023,4111,1495,6020074,15008,2923076,5012245,0,6684,0,6961,0,12257,0,3038,3921429,1094791,2059462,48047,10379,D1,P1,22363,60212,2075,4138870,971,97100,3046,4235970,6286.57,4418.71
94
+ 9/8/2023,3609,1285,5616011,13195,2483117,3900778,0,8177,0,6447,0,12774,0,1309,3322165,452000,2262292,52219,11047,D1,P1,21099,53059,2067,4030270,1010,101000,3077,4131270,6309.32,4273.88
95
+ 10/8/2023,3872,1330,5270940,11342,1305507,3614496,0,6927,0,6602,0,21830,0,986,2868345,452896,1541791,46720,10556,D1,P1,22515,52055,2216,4848640,974,97400,3190,4946040,6281.59,4498.26
96
+ 11/8/2023,3673,1257,4485834,10445,3562053,5521177,0,5810,0,13751,0,5797,0,751,3242607,511016,1679989,47262,10344,D1,P1,17086,46491,1551,3242370,671,67100,2222,3309470,4608.96,3355.58
97
+ 12/8/2023,2744,960,3946512,10052,4015316,5813616,0,6205,0,10379,0,9890,0,532,3761072,595191,1931989,54787,9210,D1,P1,15949,46498,1376,3113130,639,63900,2016,3177130,4121.65,2907.82
98
+ 13/08/2023,2418,775,5051792,11809,1869057,6348414,0,4093,0,5187,0,21320,0,399,3279816,503805,2171335,55136,10546,D1,P1,14745,44224,1327,2888900,648,64800,1975,2953700,3905.29,2752.8
99
+ 14/08/2023,3551,1196,4839009,11805,1765326,3758610,0,6170,0,7226,0,19575,0,706,2974893,427940,1822890,49127,11042,D1,P1,20336,49993,1770,3798710,748,74800,2518,3873510,5195.83,3786.85
100
+ 15/08/2023,3430,1312,6520709,24857,1792924,1852314,0,6063,0,9302,0,34681,0,778,3080012,462344,1935145,57900,11083,D1,P1,24449,48710,1946,4332210,807,80700,2752,4412810,5367.05,3930.18
101
+ 16/08/2023,3253,1175,4844378,27290,3478033,1293346,0,5884,0,8280,0,29077,0,1055,3150093,468159,2094524,58937,11823,D1,P1,23892,46995,1911,3996580,780,78000,2691,4074580,5452.88,3979.2
102
+ 17/08/2023,3714,1417,4702754,23408,4058942,1186576,0,11301,0,10504,0,15462,0,1017,3071572,444690,1961293,58681,10987,D1,P1,21265,42100,1700,3517380,704,70400,2404,3587780,5150.22,3718.85
103
+ 18/08/2023,1936,710,4370177,18919,3789636,1020973,0,9525,0,8958,0,32346,0,909,3252966,461174,2031390,61098,10354,D1,P1,20983,41383,1778,3654630,679,67900,2457,3722530,5019.58,3716.93
104
+ 19/08/2023,1998,723,3683868,14860,5187185,1336224,0,8305,0,6265,0,13396,0,1267,3460234,494225,2037289,68988,9709,D1,P1,14640,31119,1331,2887610,528,52800,1860,2943410,4059.2,3012.38
105
+ 20/08/2023,2458,839,5558511,16917,6444084,1333600,0,8083,0,5668,0,9425,0,593,3233047,427550,2093935,58698,11658,D1,P1,13616,29557,1227,2592690,476,47600,1703,2640290,3842.86,2850.38
106
+ 21/08/2023,2316,892,5802540,21997,1578062,1099659,0,9057,0,8434,0,11204,0,597,3110596,442523,1991499,71910,13059,D1,P1,19336,38812,1656,3445610,663,66300,2319,3510210,5100.16,3789.37
107
+ 22/08/2023,2208,845,5006504,13886,598218,939529,0,18631,0,11119,0,18304,0,666,3020862,419659,1960342,66769,12591,D1,P1,21348,42166,1844,3824050,762,76200,2582,3877380,5610.58,4088.17
108
+ 23/08/2023,2104,821,5240143,16309,1941212,2081327,0,17073,0,8077,0,6042,0,709,2634348,409468,1726842,53998,13783,D1,P1,18864,38949,1513,3153720,655,65500,2165,3219310,4984.78,3596.01
109
+ 24/08/2023,2011,685,5623870,14314,380971,2132605,0,13223,0,7340,0,11449,0,1774,2244344,385012,1409286,55699,13185,D1,P1,18821,38282,1665,3378840,678,67800,2358,3474730,5209.76,3795.85
110
+ 25/08/2023,1889,680,4674166,13506,1119189,1818097,0,33200,0,7250,0,16577,0,3622,2405697,395219,1564070,61103,13348,D1,P1,18364,37536,1863,3939560,638,63800,2501,4003360,5070.56,3850.47
111
+ 26/08/2023,1229,379,5475213,18030,476090,1048919,0,15316,0,4976,0,16625,0,3546,2662312,434769,1789446,61768,13346,D1,P1,16076,32992,1816,3388030,606,60600,2422,3448630,4877.02,3729.33
112
+ 27/08/2023,1333,486,5591938,13138,956722,732493,0,12952,0,4227,0,19562,0,2354,2470188,417919,1980888,53707,14151,D1,P1,14834,30563,1572,2979370,536,53600,2108,3032970,4232.88,3241.64
113
+ 28/08/2023,2031,760,7120359,17304,592505,571748,0,44816,0,8728,0,19999,0,3813,2357294,420574,1878047,50335,13442,D1,P1,20994,42982,1970,3877550,642,64200,2612,3941750,5610.5,4325.83
114
+ 29/08/2023,1560,550,6349650,18074,395464,276869,0,217642,0,8742,0,36555,0,2778,2437012,455532,1707585,52913,12648,D1,P1,25919,51217,2270,4323380,803,80300,3073,4403680,6223.41,4701.59
115
+ 30/08/2023,1788,623,6774580,17019,804715,227676,0,92490,0,7576,0,33376,0,1815,2461827,452647,1924554,57945,12244,D1,P1,24015,48307,2298,4414000,796,79600,3094,4493600,5983.31,4520.44
116
+ 31/08/2023,2251,790,6881955,16586,462096,216142,0,177608,0,7188,0,13212,0,1862,2630688,508779,1691540,44071,12093,D1,P1,17587,35874,1809,3406910,604,60400,2413,3467310,5218.62,4005.29
117
+ 1/9/2023,2763,930,5360505,17680,259775,323504,0,21865,0,7383,0,4899,0,1313,2723715,529388,1841032,48663,11275,D1,P1,13457,29785,1396,2542480,459,45900,1855,2588380,4243.41,3270.46
118
+ 2/9/2023,2597,870,4478842,15289,1226680,320820,0,26924,0,6477,0,4896,0,1454,2929332,613163,1945160,60288,10815,D1,P1,12337,27451,1347,2481120,508,50800,1855,2531920,4227.98,3109.35
119
+ 3/9/2023,2332,762,5174329,13994,449228,288375,0,20423,0,5755,0,10890,0,1494,2516381,558353,1697712,54329,11996,D1,P1,12609,27028,1428,2699310,481,48100,1909,2747410,4177.46,3164.79
120
+ 4/9/2023,3561,1229,5334952,17444,296660,306771,0,324815,0,7849,0,41134,0,2069,2485534,613680,1823512,52578,12787,D1,P1,22283,45146,2065,3908960,791,79100,2855,3987700,5743.35,4264.57
121
+ 5/9/2023,2261,816,6113505,20426,302910,227998,0,287642,0,7998,0,21025,0,1448,2453507,595873,1648165,49590,11749,D1,P1,19096,40015,1818,3314870,588,58800,2407,3377390,5367.87,4153.87
122
+ 6/9/2023,2868,1031,5558783,13407,1266416,255848,0,203777,0,8887,0,9020,0,933,2766708,736889,1987155,47189,10851,D1,P1,14311,31495,1502,2764430,499,49900,2001,2814330,4575.2,3510.97
123
+ 7/9/2023,2394,832,4907653,9041,191893,285511,0,202017,0,8317,0,6879,0,801,2616416,630668,1712157,47089,11632,D1,P1,13483,29283,1544,2846790,463,46300,2007,2893090,4770.64,3739.02
124
+ 8/9/2023,2689,910,4752031,8867,157343,302141,0,201772,0,8717,0,5684,0,1428,2705167,791338,1852090,43707,10493,D1,P1,13830,29726,1531,2806450,518,51800,2049,2858250,4807.58,3697.23
125
+ 9/9/2023,2204,752,3975657,10022,227113,245700,0,201776,0,7299,0,4098,0,758,2929279,827015,2001938,50033,10082,D1,P1,12284,26212,1414,2674080,433,43300,1847,2717380,4310.87,3354.94
126
+ 10/9/2023,2167,743,4243960,10399,270612,291468,0,201256,0,6099,0,8097,0,809,2352670,1241029,1966290,41767,10185,D1,P1,12594,26398,1498,2834900,435,43500,1933,2878400,4460.59,3531.69
127
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128
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129
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130
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131
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132
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133
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134
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135
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136
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137
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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199
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200
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272
+ 8/8/2023,4111,1495,6020074,15008,2923076,5012245,0,6684,0,6961,0,12257,0,3038,3921429,1094791,2059462,48047,10379,D2,P2,22363,60212,2075,4138870,971,97100,3046,4235970,6286.57,4418.71
273
+ 9/8/2023,3609,1285,5616011,13195,2483117,3900778,0,8177,0,6447,0,12774,0,1309,3322165,452000,2262292,52219,11047,D2,P2,21099,53059,2067,4030270,1010,101000,3077,4131270,6309.32,4273.88
274
+ 10/8/2023,3872,1330,5270940,11342,1305507,3614496,0,6927,0,6602,0,21830,0,986,2868345,452896,1541791,46720,10556,D2,P2,22515,52055,2216,4848640,974,97400,3190,4946040,6281.59,4498.26
275
+ 11/8/2023,3673,1257,4485834,10445,3562053,5521177,0,5810,0,13751,0,5797,0,751,3242607,511016,1679989,47262,10344,D2,P2,17086,46491,1551,3242370,671,67100,2222,3309470,4608.96,3355.58
276
+ 12/8/2023,2744,960,3946512,10052,4015316,5813616,0,6205,0,10379,0,9890,0,532,3761072,595191,1931989,54787,9210,D2,P2,15949,46498,1376,3113130,639,63900,2016,3177130,4121.65,2907.82
277
+ 13/08/2023,2418,775,5051792,11809,1869057,6348414,0,4093,0,5187,0,21320,0,399,3279816,503805,2171335,55136,10546,D2,P2,14745,44224,1327,2888900,648,64800,1975,2953700,3905.29,2752.8
278
+ 14/08/2023,3551,1196,4839009,11805,1765326,3758610,0,6170,0,7226,0,19575,0,706,2974893,427940,1822890,49127,11042,D2,P2,20336,49993,1770,3798710,748,74800,2518,3873510,5195.83,3786.85
279
+ 15/08/2023,3430,1312,6520709,24857,1792924,1852314,0,6063,0,9302,0,34681,0,778,3080012,462344,1935145,57900,11083,D2,P2,24449,48710,1946,4332210,807,80700,2752,4412810,5367.05,3930.18
280
+ 16/08/2023,3253,1175,4844378,27290,3478033,1293346,0,5884,0,8280,0,29077,0,1055,3150093,468159,2094524,58937,11823,D2,P2,23892,46995,1911,3996580,780,78000,2691,4074580,5452.88,3979.2
281
+ 17/08/2023,3714,1417,4702754,23408,4058942,1186576,0,11301,0,10504,0,15462,0,1017,3071572,444690,1961293,58681,10987,D2,P2,21265,42100,1700,3517380,704,70400,2404,3587780,5150.22,3718.85
282
+ 18/08/2023,1936,710,4370177,18919,3789636,1020973,0,9525,0,8958,0,32346,0,909,3252966,461174,2031390,61098,10354,D2,P2,20983,41383,1778,3654630,679,67900,2457,3722530,5019.58,3716.93
283
+ 19/08/2023,1998,723,3683868,14860,5187185,1336224,0,8305,0,6265,0,13396,0,1267,3460234,494225,2037289,68988,9709,D2,P2,14640,31119,1331,2887610,528,52800,1860,2943410,4059.2,3012.38
284
+ 20/08/2023,2458,839,5558511,16917,6444084,1333600,0,8083,0,5668,0,9425,0,593,3233047,427550,2093935,58698,11658,D2,P2,13616,29557,1227,2592690,476,47600,1703,2640290,3842.86,2850.38
285
+ 21/08/2023,2316,892,5802540,21997,1578062,1099659,0,9057,0,8434,0,11204,0,597,3110596,442523,1991499,71910,13059,D2,P2,19336,38812,1656,3445610,663,66300,2319,3510210,5100.16,3789.37
286
+ 22/08/2023,2208,845,5006504,13886,598218,939529,0,18631,0,11119,0,18304,0,666,3020862,419659,1960342,66769,12591,D2,P2,21348,42166,1844,3824050,762,76200,2582,3877380,5610.58,4088.17
287
+ 23/08/2023,2104,821,5240143,16309,1941212,2081327,0,17073,0,8077,0,6042,0,709,2634348,409468,1726842,53998,13783,D2,P2,18864,38949,1513,3153720,655,65500,2165,3219310,4984.78,3596.01
288
+ 24/08/2023,2011,685,5623870,14314,380971,2132605,0,13223,0,7340,0,11449,0,1774,2244344,385012,1409286,55699,13185,D2,P2,18821,38282,1665,3378840,678,67800,2358,3474730,5209.76,3795.85
289
+ 25/08/2023,1889,680,4674166,13506,1119189,1818097,0,33200,0,7250,0,16577,0,3622,2405697,395219,1564070,61103,13348,D2,P2,18364,37536,1863,3939560,638,63800,2501,4003360,5070.56,3850.47
290
+ 26/08/2023,1229,379,5475213,18030,476090,1048919,0,15316,0,4976,0,16625,0,3546,2662312,434769,1789446,61768,13346,D2,P2,16076,32992,1816,3388030,606,60600,2422,3448630,4877.02,3729.33
291
+ 27/08/2023,1333,486,5591938,13138,956722,732493,0,12952,0,4227,0,19562,0,2354,2470188,417919,1980888,53707,14151,D2,P2,14834,30563,1572,2979370,536,53600,2108,3032970,4232.88,3241.64
292
+ 28/08/2023,2031,760,7120359,17304,592505,571748,0,44816,0,8728,0,19999,0,3813,2357294,420574,1878047,50335,13442,D2,P2,20994,42982,1970,3877550,642,64200,2612,3941750,5610.5,4325.83
293
+ 29/08/2023,1560,550,6349650,18074,395464,276869,0,217642,0,8742,0,36555,0,2778,2437012,455532,1707585,52913,12648,D2,P2,25919,51217,2270,4323380,803,80300,3073,4403680,6223.41,4701.59
294
+ 30/08/2023,1788,623,6774580,17019,804715,227676,0,92490,0,7576,0,33376,0,1815,2461827,452647,1924554,57945,12244,D2,P2,24015,48307,2298,4414000,796,79600,3094,4493600,5983.31,4520.44
295
+ 31/08/2023,2251,790,6881955,16586,462096,216142,0,177608,0,7188,0,13212,0,1862,2630688,508779,1691540,44071,12093,D2,P2,17587,35874,1809,3406910,604,60400,2413,3467310,5218.62,4005.29
296
+ 1/9/2023,2763,930,5360505,17680,259775,323504,0,21865,0,7383,0,4899,0,1313,2723715,529388,1841032,48663,11275,D2,P2,13457,29785,1396,2542480,459,45900,1855,2588380,4243.41,3270.46
297
+ 2/9/2023,2597,870,4478842,15289,1226680,320820,0,26924,0,6477,0,4896,0,1454,2929332,613163,1945160,60288,10815,D2,P2,12337,27451,1347,2481120,508,50800,1855,2531920,4227.98,3109.35
298
+ 3/9/2023,2332,762,5174329,13994,449228,288375,0,20423,0,5755,0,10890,0,1494,2516381,558353,1697712,54329,11996,D2,P2,12609,27028,1428,2699310,481,48100,1909,2747410,4177.46,3164.79
299
+ 4/9/2023,3561,1229,5334952,17444,296660,306771,0,324815,0,7849,0,41134,0,2069,2485534,613680,1823512,52578,12787,D2,P2,22283,45146,2065,3908960,791,79100,2855,3987700,5743.35,4264.57
300
+ 5/9/2023,2261,816,6113505,20426,302910,227998,0,287642,0,7998,0,21025,0,1448,2453507,595873,1648165,49590,11749,D2,P2,19096,40015,1818,3314870,588,58800,2407,3377390,5367.87,4153.87
301
+ 6/9/2023,2868,1031,5558783,13407,1266416,255848,0,203777,0,8887,0,9020,0,933,2766708,736889,1987155,47189,10851,D2,P2,14311,31495,1502,2764430,499,49900,2001,2814330,4575.2,3510.97
302
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303
+ 8/9/2023,2689,910,4752031,8867,157343,302141,0,201772,0,8717,0,5684,0,1428,2705167,791338,1852090,43707,10493,D2,P2,13830,29726,1531,2806450,518,51800,2049,2858250,4807.58,3697.23
304
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305
+ 10/9/2023,2167,743,4243960,10399,270612,291468,0,201256,0,6099,0,8097,0,809,2352670,1241029,1966290,41767,10185,D2,P2,12594,26398,1498,2834900,435,43500,1933,2878400,4460.59,3531.69
306
+ 11/9/2023,3381,1227,4492340,10684,1192346,154867,0,202476,0,8393,0,6493,0,838,2573007,1455728,1830559,39596,12910,D2,P2,15510,32142,1544,2881650,449,44900,1992,2923700,4715.59,3736.66
307
+ 12/9/2023,2511,884,4936079,10015,199137,170680,0,50740,0,8506,0,26721,0,1085,2527461,1481401,1856155,40974,11883,D2,P2,22786,42733,2027,4286230,326,32600,2353,4318830,5172.4,4510.57
308
+ 13/09/2023,2143,778,5115564,10338,292239,238162,0,2408,0,7172,0,36811,0,836,2621020,1580825,1962940,39948,11634,D2,P2,22084,41155,1880,3809460,281,28100,2161,3837560,4765.04,4181.98
309
+ 14/09/2023,2307,798,4859067,12717,1181194,308251,0,948,0,7404,0,38152,0,1282,2677877,1397139,1251585,46129,10253,D2,P2,21377,40308,1959,3742130,550,55000,2509,3797130,5413.06,4301.68
310
+ 15/09/2023,2467,882,4260164,9702,399193,291844,0,756,0,6932,0,16060,0,2982,2751748,1416780,1269521,57909,10048,D2,P2,16118,32895,1659,3149040,526,52600,2185,3201640,4920.59,3802.04
311
+ 16/09/2023,2076,687,3350011,7707,620978,196303,0,663,0,6018,0,9889,0,1188,3083552,1564491,1439332,61159,9435,D2,P2,12830,26945,1488,2798420,446,44600,1934,2843020,4519.52,3564.8
312
+ 17/09/2023,2467,802,4503316,11119,581720,236009,0,637,0,4814,0,10024,0,2464,2935930,1503370,1649587,48796,10073,D2,P2,12357,25262,1396,2560250,455,45500,1851,2605750,4246.67,3287.31
313
+ 18/09/2023,2910,1024,5568066,14302,184276,143660,0,888,0,6922,0,10381,0,1767,2373681,1330212,1479501,51224,10488,D2,P2,16441,33582,1727,3152630,572,57200,2300,3209930,5491.87,4171.85
314
+ 19/09/2023,3252,1309,6105220,12193,208312,187769,0,1464,0,5210,0,8092,0,1504,2373344,1285881,1407015,40642,10547,D2,P2,17770,36578,1743,3229930,653,65300,2395,3291230,5666.71,4236.34
315
+ 20/09/2023,2796,1185,6055420,14003,291395,272928,0,1077,0,4246,0,10472,0,1830,2565110,1425196,1460886,48962,10318,D2,P2,16656,34188,1627,3048960,738,73800,2365,3121460,5577.7,3950.97
316
+ 21/09/2023,2208,878,5225528,8679,697480,160425,0,1033,0,6726,0,13928,0,1357,2686089,1447330,1236533,49940,10259,D2,P2,17253,34210,1912,3553480,811,81100,2723,3634580,6248.63,4440.07
317
+ 22/09/2023,1734,783,4373391,8141,2220006,88968,0,738,0,9534,0,8771,0,1690,2460283,1353647,1258771,45467,9910,D2,P2,14958,31389,1714,3084570,758,75800,2472,3160370,5984.05,4280.38
318
+ 23/09/2023,1190,492,4948823,10035,2432739,154849,0,702,0,8285,0,4369,0,806,2740252,1531672,1407980,51747,8665,D2,P2,12641,27336,1443,2653190,652,65200,2095,2718390,5094.46,3633.56
319
+ 24/09/2023,1124,496,6239124,10744,248085,231243,0,477,0,8032,0,8640,0,1449,2648532,1476875,1294436,36638,10410,D2,P2,12153,26113,1395,2618830,621,62100,2016,2680930,4558.91,3242.77
320
+ 25/09/2023,2358,1041,5325249,9804,251517,447312,0,591,0,11299,0,21103,0,1135,2371891,1333464,1222194,36894,9191,D2,P2,18608,38878,2041,3740860,897,89700,2938,3830560,6554.2,4744.62
321
+ 26/09/2023,2092,994,5361926,13223,90916,351820,0,910,0,10598,0,27697,0,2803,2612585,1502573,1256804,33211,8893,D2,P2,21214,41166,2128,3878240,935,93500,3063,3971740,6565.1,4696.86
322
+ 27/09/2023,1835,792,4600061,14060,728920,347014,0,1111,0,8811,0,104094,0,1780,2488689,1390273,1203937,33935,8769,D2,P2,37289,65137,2933,5530540,1595,159500,4525,5686340,8073.74,5545.54
323
+ 28/09/2023,1787,807,4114657,9434,84913,564139,0,279332,0,6975,0,51946,0,2516,2290090,1309586,1316086,32443,8606,D2,P2,25651,47307,2343,4257450,1199,119900,3542,4377350,7151.36,4963.98
324
+ 29/09/2023,1513,641,4477584,8505,211297,372199,0,443,0,4039,0,4466,0,1774,2429135,1379398,1425850,31700,7184,D2,P2,12276,26946,1488,2459350,613,61300,2101,2520650,5148.56,3726.34
325
+ 30/09/2023,1127,478,4089760,9316,222854,364180,0,517,0,3251,0,13297,0,1425,1049942,435407,548780,10869,4505,D2,P2,12905,27091,1533,2701900,640,64000,2173,2765900,5022.4,3685.32
326
+ 1/10/2023,1021,436,748856,2639,301970,224135,0,846,0,2731,0,7574,0,962,935755,413098,1084400,13147,5335,D2,P2,9103,18479,1165,2022810,467,46700,1632,2069510,3823.3,2818.63
327
+ 2/10/2023,1673,764,1692932,4211,387802,237932,0,1564,0,12820,0,9400,0,1463,877002,383352,1016934,14302,5965,D2,P2,12307,24110,1290,2265000,565,56500,1855,2321500,4314.73,3091.4
328
+ 3/10/2023,1516,725,1757367,3947,568156,171003,0,1739,0,21454,0,5276,0,1640,833524,365270,973716,14227,5936,D2,P2,12568,24900,1344,2390760,645,64500,1989,2455260,4686.71,3259.46
329
+ 4/10/2023,1786,763,1733340,3119,567654,129402,0,1726,0,15833,0,13543,0,2940,836392,368220,1029847,13931,5864,D2,P2,13780,26581,1383,2427230,695,69500,2078,2496730,4764.92,3278.39
330
+ 5/10/2023,1986,861,1671129,3736,504268,159069,0,1747,0,24285,0,8234,0,3163,830805,380396,476125,13399,5529,D2,P2,12797,24819,1428,2572910,640,64050,2067,2626960,4940.4,3504.67
331
+ 6/10/2023,1774,753,1348401,2784,702326,205479,0,1686,0,15228,0,12269,0,2107,817142,382879,504402,11840,5476,D2,P2,11345,22554,1268,2317850,601,60300,1869,2378150,4247.46,3014.11
332
+ 7/10/2023,1150,416,1175733,2242,359848,180366,0,1446,0,19417,0,27951,0,2050,921412,418533,520370,11215,5083,D2,P2,14047,25738,1516,3012040,684,68550,2200,3080590,4256.92,3052.07
333
+ 8/10/2023,999,337,1296701,2609,662748,293989,0,1415,0,14589,0,18476,0,1786,768086,352949,357821,12788,5550,D2,P2,11419,21977,1320,2426760,572,57400,1892,2484160,4025.59,2933.34
334
+ 9/10/2023,772,289,1942734,4167,3096792,191352,0,1855,0,24331,0,21658,0,1757,653538,261410,590317,14449,6333,D2,P2,14624,27809,1367,2649310,715,73600,2082,2722910,4326.63,2956.14
335
+ 10/10/2023,737,241,1911227,4238,565419,164827,0,2101,0,11526,0,9057,0,2720,734200,300476,568450,13952,6145,D2,P2,12640,24537,1376,2459930,653,68350,2029,2528280,4537.77,3219.59
336
+ 11/10/2023,681,256,2171216,4714,503802,216630,0,1921,0,7255,0,7549,0,2025,958835,399349,595481,12432,5599,D2,P2,11486,22322,1319,2395980,638,66400,1958,2463820,4317.3,3006.02
337
+ 12/10/2023,673,240,1820266,4067,233553,161215,0,8042,0,4686,0,5288,0,1408,861845,336598,557239,13130,5889,D2,P2,9536,18332,1167,1988790,536,56350,1702,2044540,3786.09,2688.23
338
+ 13/10/2023,595,233,1529402,3094,68852,156834,0,7184,0,4986,0,14364,0,1924,801772,317596,563967,12222,5539,D2,P2,12220,23105,1373,2510340,641,66600,2014,2576940,4218.4,2949.55
339
+ 14/10/2023,748,266,1013578,2156,48430,185877,0,3043,0,4287,0,14809,0,2117,929822,362662,603684,11533,5191,D2,P2,11280,21172,1275,2379750,592,62050,1867,2441800,3859.27,2715.54
340
+ 15/10/2023,602,201,1596953,4098,55580,222305,0,12269,0,4366,0,15778,0,1639,891052,327915,425822,13301,6358,D2,P2,10476,19507,1178,2129330,587,60800,1765,2190130,3766.36,2609.81
341
+ 16/10/2023,964,369,2144206,5169,31683,118393,0,6488,0,5537,0,65656,0,1254,842123,317951,810650,16455,7813,D2,P2,23493,39642,2233,4391770,1136,117850,3369,4509620,5998.13,4174.09
342
+ 17/10/2023,1105,415,2112245,5363,69479,70676,0,4964,0,4816,0,18719,0,2353,816941,328053,766996,14912,7402,D2,P2,15733,28542,1531,2735230,779,81300,2310,2816530,5078.87,3496.45
343
+ 18/10/2023,913,348,1892230,4633,451927,111742,0,4068,0,4855,0,32612,0,2028,957593,377866,689470,15228,7272,D2,P2,18694,32354,1918,3636660,883,91900,2801,3728560,5610.31,3986.54
344
+ 19/10/2023,914,302,1550243,3817,100009,183549,0,4309,0,4468,0,68322,0,2169,846076,336810,775970,14394,6925,D2,P2,26120,43767,2170,4171580,1158,120800,3328,4292380,5891.41,4024.57
345
+ 20/10/2023,663,208,1100622,2740,174916,181797,0,3695,0,4056,0,58835,0,1887,910115,366406,653096,15447,6572,D2,P2,22398,38504,2218,4385190,1035,108650,3253,4493840,5680.14,4012.57
346
+ 21/10/2023,559,184,1405730,3216,207981,276329,0,2723,0,3213,0,44899,0,1893,1184901,485051,850250,14780,6181,D2,P2,17236,31207,1638,3121900,793,82100,2431,3204000,4493.8,3159.39
347
+ 22/10/2023,545,198,1467468,3228,520836,253840,0,2213,0,2850,0,27411,0,1911,1154732,423852,1027954,10344,4893,D2,P2,13607,25217,1482,2893810,725,75700,2207,2969510,4332.98,3030.72
348
+ 23/10/2023,625,231,2018062,5517,333114,436011,0,2839,0,3772,0,11121,0,1351,1208181,428535,1111507,11684,6220,D2,P2,12048,23419,1256,2226550,585,61300,1840,2287750,4042.32,2864.75
349
+ 24/10/2023,574,226,1889784,5099,188275,228582,0,2709,0,2462,0,1109,0,1918,1083131,378488,1161439,11452,5728,D2,P2,10595,21221,1092,1909130,407,43350,1499,1952480,3725.66,2756.39
350
+ 25/10/2023,536,184,2276229,5661,77308,332105,0,2708,0,2679,0,525,0,2402,905535,310989,865636,11200,5884,D2,P2,10143,20535,887,1832160,331,37050,1218,1869210,3037.38,2236.69
351
+ 26/10/2023,609,200,1753696,4367,85971,236204,0,2136,0,2300,0,10,0,3842,968078,332008,771447,10098,5558,D2,P2,9900,19640,858,1671270,347,38950,1205,1710220,2995.78,2165.99
352
+ 27/10/2023,563,209,1636932,3338,246909,285904,0,1992,0,2323,0,5,0,2851,1063329,352124,929257,9507,5001,D2,P2,8240,17233,780,1422510,309,35500,1089,1458010,2635.69,1927
353
+ 28/10/2023,450,155,1588245,4276,235960,324079,0,2716,0,1753,0,1,0,2585,1191854,384343,1028724,8578,4958,D2,P2,7529,15744,725,1476840,300,33850,1025,1510690,2588.52,1884.51
354
+ 29/10/2023,309,117,1731474,5065,70210,331208,0,2241,0,1708,0,5,0,3120,1137463,385520,764681,10186,5650,D2,P2,7535,14889,747,1514990,287,32300,1034,1547290,2594.6,1909.86
355
+ 31/10/2023,486,182,2220653,5950,41641,213812,0,149,0,2404,0,15,0,1380,913362,318222,1020094,10416,3703,D2,P2,8678,18059,784,1613510,309,34550,1093,1648060,2844.9,2076.88
356
+ 1/11/2023,296,123,1834772,4275,201158,313487,0,889,0,2485,0,33093,0,2287,862276,316545,798469,11740,3972,D2,P2,16341,28782,1292,2880920,542,58750,1834,2939670,3468.46,2536.62
357
+ 2/11/2023,346,111,1697213,2987,1586296,64435,0,957,0,2130,0,16368,0,3586,840477,298617,830972,10008,3641,D2,P2,12216,22498,1071,2342490,402,43400,1473,2385890,3237.48,2396.17
358
+ 3/11/2023,224,89,1759831,2940,93667,74522,0,962,0,2484,0,14150,0,953,952592,350909,800378,11090,3818,D2,P2,10460,20113,902,1897210,372,40600,1274,1937810,2883.8,2066.5
359
+ 4/11/2023,214,76,1677064,2752,65182,61325,0,1796,0,3084,0,10438,0,1148,957265,344580,821570,11309,4380,D2,P2,8630,17741,757,1590600,290,31650,1047,1622250,2519.34,1826.6
360
+ 9/5/2023,6111,1916,1365036,5044,104781,31371909,0,3341,0,11190,0,61956,0,457,2371841,1021599,2302543,34816,19205,D3,P3,35411,86251,2786,4926900,1395,139500,4181,5066400,6110.89,4301.97
361
+ 10/5/2023,6233,1888,1234034,3899,140810,32973036,0,3214,0,9988,0,52049,0,705,2100238,943808,2336369,19716,17415,D3,P3,37986,96199,3087,5328400,1515,151500,4603,5480000,7186.64,5128.37
362
+ 11/5/2023,5568,1816,1016155,2788,102248,50729517,0,3203,0,10869,0,8042,0,381,2461265,1127717,1110415,21547,11051,D3,P3,24496,77036,2337,4001750,1327,132700,3663,4133100,5892.4,4091.77
363
+ 12/5/2023,5109,1769,1228032,3101,100246,63142114,0,2492,0,7096,0,10596,0,299,2313368,1107256,1191901,31966,11081,D3,P3,21030,75112,2052,3462310,1116,111600,3168,3573910,5091.46,3601.62
364
+ 13/05/2023,3712,1231,1344557,3399,100714,59509032,0,3986,0,4282,0,9753,0,366,3067797,1388882,1403486,38518,10762,D3,P3,16294,64652,1611,2693420,827,82700,2438,2776120,3925.27,2780.04
365
+ 14/05/2023,3719,1241,1520157,3491,120162,49538293,0,1891,0,3002,0,7363,0,278,3140882,1429620,2518831,44744,12151,D3,P3,13378,55706,1428,2535460,765,76500,2193,2611960,3658.41,2543.11
366
+ 15/05/2023,7735,2663,2102264,5175,106903,46609819,0,2518,0,4548,0,16201,0,880,2916228,1288902,2456845,36269,15290,D3,P3,21857,67301,2149,3844360,1075,107500,3223,3951760,5540.69,3945.07
367
+ 16/05/2023,9409,3206,2134290,5636,88201,9662393,0,2247,0,6690,0,15031,0,1588,3161940,1370882,2403330,37393,14187,D3,P3,26562,53380,2486,4026650,1251,125100,3736,4150900,6839.28,4817.99
368
+ 17/05/2023,8409,2785,1473128,4336,56382,2232239,0,2557,0,6401,0,8946,0,322,3199527,1379566,2608845,39190,12591,D3,P3,21930,41033,2100,3675940,1126,112600,3226,3788540,6156.6,4185.47
369
+ 18/05/2023,8364,2873,1733275,5009,38145,7321146,0,2912,0,7286,0,14366,0,660,2623727,1115471,1723470,36020,12100,D3,P3,21813,40251,1987,3528210,1240,124000,3227,3652210,6388.27,4150.71
370
+ 19/05/2023,6432,2050,1784426,5063,23340,8715910,0,3934,0,6035,0,20378,0,362,2995998,1287313,1959870,36885,12848,D3,P3,19874,38360,1888,3663690,1140,114000,3027,3777590,5981.25,3891.85
371
+ 20/05/2023,5428,1724,1635604,4408,34693,8783612,0,3318,0,4714,0,21030,0,236,2996479,1326416,1903323,31048,12256,D3,P3,17568,33060,1691,3342720,931,93100,2623,3437270,5113.91,3453.26
372
+ 21/05/2023,5657,1807,1788487,4492,24812,5015214,0,2253,0,4227,0,11656,0,494,3167634,1309450,3651254,33361,13073,D3,P3,14766,28367,1461,2940020,800,80000,2261,3020020,4874.35,3300.96
373
+ 22/05/2023,5768,2036,2176947,5688,25298,3002995,0,2739,0,8313,0,25663,0,1147,3573865,1548365,3939226,33410,14092,D3,P3,21520,40205,1854,3533540,1097,109700,2951,3643240,6425.41,4211.67
374
+ 23/05/2023,5051,1720,2359219,6966,24773,3005057,0,4738,0,13827,0,47900,0,965,3248157,1376975,3631390,35016,13025,D3,P3,29860,51811,2527,5012370,1339,133900,3866,5146270,7978.08,5238.68
375
+ 24/05/2023,6078,1977,1612918,4924,24591,2833280,0,4816,0,12417,0,94489,0,1254,3572793,1550315,3532105,37491,12546,D3,P3,41297,68099,2993,5666720,1655,165500,4648,5832220,8715.48,5761.11
376
+ 25/05/2023,6547,2075,1468456,3624,19705,2771412,0,5070,0,7395,0,70016,0,762,3164337,1353382,3253308,34658,13154,D3,P3,33436,56714,2588,5066960,1509,150900,4097,5217860,7939.09,5062.98
377
+ 26/05/2023,3719,1189,1770048,4874,16879,2875657,0,2855,0,6964,0,29015,0,627,2989794,1248779,3345390,38267,12788,D3,P3,22185,40261,2101,4010930,1130,113000,3231,4123930,6785.57,4495.67
378
+ 27/05/2023,3620,1145,1900387,5061,14156,2663378,0,3295,0,4472,0,5625,0,1473,3576647,1527545,3694843,40685,12844,D3,P3,13490,26751,1407,2592840,756,75600,2163,2668440,5325.41,3549.17
379
+ 28/05/2023,4195,1302,2026053,5703,12334,2609966,0,2190,0,3737,0,5030,0,1401,3376177,1447089,2563297,42359,13543,D3,P3,13124,25607,1374,2558180,722,72200,2096,2630380,5282.85,3554.29
380
+ 29/05/2023,5265,1798,2328823,6483,14783,2537637,0,3954,0,5211,0,221,0,1575,3765997,1720747,2865333,39579,8116,D3,P3,15619,30688,1585,2979010,785,78500,2370,3057510,5961.63,4097.14
381
+ 30/05/2023,3879,1366,2294654,6008,15979,2489630,0,4465,0,6041,0,6,0,1192,3790830,1751416,2822819,37234,8830,D3,P3,17258,32693,1773,3270270,900,90000,2673,3360270,6752.47,4596.75
382
+ 31/05/2023,3933,1348,1645187,4081,14208,2337652,0,3797,0,4794,0,6,0,888,4151434,1953620,2714074,45856,6861,D3,P3,16458,31379,1688,3065730,924,92400,2612,3158130,6598.66,4373.22
383
+ 1/6/2023,4817,1530,1862175,4841,48192,3241822,0,3060,0,4802,0,12820,0,1137,4151797,1903421,2255850,51175,7095,D3,P3,17582,34622,1700,3231430,909,90900,2609,3322330,6342.48,4257.19
384
+ 2/6/2023,5733,1800,966546,2646,43573,4582872,0,1563,0,10678,0,46810,0,1309,4313201,2009602,2074692,47378,6120,D3,P3,25710,47869,2271,4131170,1130,113000,3401,4244170,6992.72,4747.36
385
+ 3/6/2023,4142,1290,2445721,11111,90587,4764628,0,2176,0,5144,0,27735,0,518,4514302,2083217,2095544,58527,5748,D3,P3,19247,37244,1905,3615570,961,96100,2866,3711670,5996.2,4065.63
386
+ 4/6/2023,5143,1613,2296690,6790,40929,4717779,0,1280,0,4237,0,5606,0,325,4179140,1889452,2152476,45239,6093,D3,P3,13474,29405,1475,2776480,755,75500,2230,2851980,5219.47,3571.73
387
+ 5/6/2023,5384,1832,3509278,8938,56272,19979584,0,1377,0,11493,0,25647,0,579,3683204,1641254,3616732,40356,6453,D3,P3,22558,54639,2114,4004520,1128,112800,3242,4117320,6672.4,4468.93
388
+ 6/6/2023,4802,1594,3216944,7861,20049,33102789,0,1485,0,9086,0,36532,0,545,3822453,1716540,3687300,53347,6334,D3,P3,26643,69935,2358,4505090,1222,122200,3580,4627290,6855.89,4686.82
389
+ 7/6/2023,5072,1648,2143372,5356,22553,21321547,0,1576,0,7213,0,21215,0,628,4178339,1811963,2354753,51632,6259,D3,P3,22242,56660,2125,3900920,1184,118400,3309,4019320,6611.5,4370.78
390
+ 8/6/2023,4444,1465,3190766,8024,53653,10254268,0,2046,0,10491,0,19549,0,769,3941272,1738344,2283350,59291,6775,D3,P3,23293,50105,2238,4145770,1270,127000,3508,4272770,6851.85,4515.66
391
+ 9/6/2023,4818,1605,3278715,9328,18347,4890758,0,1925,0,8360,0,32385,0,1732,3969227,1777864,2353376,52000,6026,D3,P3,25950,50611,2404,4657210,1315,131500,3719,4788710,6881.12,4639.8
392
+ 10/6/2023,3465,1207,2887842,8529,725,5489947,0,1230,0,5401,0,37954,0,2136,4458593,2061762,2535928,66567,5554,D3,P3,24413,47973,2370,4584570,1225,122500,3595,4707070,6334.68,4283.38
393
+ 11/6/2023,4727,1501,3149290,8114,738,5313957,0,1839,0,8198,0,32493,0,1533,4442610,2006438,2183963,47655,6008,D3,P3,23656,46275,2220,4441870,1183,118300,3403,4560170,6134.11,4098
394
+ 12/6/2023,6437,2208,4416005,12345,149561,5298884,0,1905,0,8542,0,101079,0,472,4645531,1995891,3301882,38760,4966,D3,P3,44382,76997,3520,6853780,1782,178200,5302,7031980,8549.02,5779.3
395
+ 13/06/2023,3556,1254,4626697,12984,258088,5952266,0,2095,0,10415,0,59770,0,1016,4508060,1912958,3440789,47281,4630,D3,P3,35764,67060,2737,5184020,1530,153000,4266,5335600,7908.1,5200.7
396
+ 14/06/2023,3178,1060,3389530,10298,685692,10454400,0,2258,0,24457,0,16016,0,1101,4573214,1920050,3160905,41549,5083,D3,P3,27677,56158,2257,4257990,1244,124400,3501,4382390,7187.71,4826.11
397
+ 15/06/2023,2981,999,3131350,10791,1072645,11631302,0,2265,0,17304,0,10395,0,1188,4075106,1690702,3267810,50496,5037,D3,P3,23775,50354,2201,4212820,1215,121500,3416,4334320,7339.75,4890.1
398
+ 16/06/2023,2705,947,2923279,11124,1166424,11840950,0,1780,0,8938,0,24339,0,966,4533368,1939737,2881833,41872,4604,D3,P3,22957,49677,2225,4445430,1154,115400,3379,4560830,6663.77,4416.03
399
+ 17/06/2023,3697,1154,2955836,10440,807683,9748201,0,2139,0,5741,0,54129,0,766,4958344,2059487,3183051,52618,3675,D3,P3,26623,53187,2434,4755560,1286,128600,3723,4890110,6983.5,4694.41
400
+ 18/06/2023,3229,1080,3280006,12373,116340,8176712,0,1481,0,4741,0,16724,0,864,4270249,1735486,3251229,39780,3696,D3,P3,16690,36522,1715,3294460,936,93600,2651,3388060,5614.57,3749.6
401
+ 19/06/2023,3082,1003,6545797,24462,55763,4841897,0,2098,0,10520,0,26558,0,2211,4137846,1743715,2680413,43156,4347,D3,P3,25736,50759,2343,4515000,1244,124400,3587,4639400,7090.09,4789.96
402
+ 20/06/2023,2422,857,6734594,28910,52166,4718912,0,2205,0,10284,0,30610,0,1002,4218772,1771102,2058734,42288,4260,D3,P3,27941,52107,2478,4829920,1398,139800,3876,4969720,7584.9,4974.28
403
+ 21/06/2023,3366,1132,4784180,17247,52817,5971594,0,3387,0,9277,0,41697,0,645,4113884,1743016,2111350,44159,4193,D3,P3,28338,53853,2376,4353550,1357,135700,3733,4489250,7214.21,4702.88
404
+ 22/06/2023,2841,924,3300680,13360,29784,6803330,0,4064,0,7068,0,68638,0,481,3738171,1533407,1597072,35381,4173,D3,P3,34683,62182,2532,4863520,1434,143400,3966,5006920,7223.75,4679.68
405
+ 23/06/2023,2474,805,2284446,9012,80066,6833289,0,3274,0,7379,0,13501,0,721,4479743,1889155,1647740,39089,3640,D3,P3,16506,35549,1530,2980550,888,88800,2418,3069350,5295.75,3457.41
406
+ 24/06/2023,2462,814,1947190,7247,50309,6526903,0,2767,0,4703,0,8438,0,616,3758421,1565736,1648519,46332,3834,D3,P3,13804,31588,1381,2698000,788,78800,2169,2776800,4822.39,3136
407
+ 25/06/2023,2082,679,3560248,14850,50806,6368664,0,2767,0,4414,0,5346,0,628,4038846,1700182,2514456,43065,4201,D3,P3,13435,30121,1424,2782640,778,77800,2202,2860440,5082.66,3353.86
408
+ 26/06/2023,2399,839,5999950,28401,23209,10788275,0,3699,0,13383,0,13592,0,790,3427918,1403888,3598236,33883,4642,D3,P3,21114,49622,1959,3810990,1175,117500,3134,3928490,6965.39,4504.75
409
+ 27/06/2023,2307,804,5005495,18260,81344,14103220,0,7082,0,8898,0,40917,0,945,3819654,1523667,3556028,35326,4628,D3,P3,32019,65348,2877,5691820,1595,159500,4472,5851320,9589,6333.48
410
+ 28/06/2023,2215,759,3721084,11248,20153,10547995,0,8387,0,7120,0,39693,0,944,3671994,1568555,1397196,33212,2998,D3,P3,30267,63086,2863,5931970,1516,151600,4379,6083570,8919.81,5942.75
411
+ 29/06/2023,2013,706,3918049,10226,155296,8525871,0,10096,0,5693,0,24049,0,1512,3937747,1585655,3393043,30700,2519,D3,P3,22893,54097,2125,4215060,1132,113200,3257,4328260,7178.85,4806.94
412
+ 30/06/2023,1258,454,3088874,7943,902115,10945715,0,8904,0,9611,0,62404,0,1029,4945464,1946944,1835310,52445,2839,D3,P3,30707,67849,2616,5112840,1397,139700,4013,5252540,7664.09,5203.16
413
+ 1/7/2023,1641,539,3872657,12034,191537,12141356,0,4956,0,6049,0,31194,0,923,5328149,2224200,2123805,56724,2513,D3,P3,22229,54353,2266,4505840,1205,120500,3471,4626340,6983.83,4746.37
414
+ 2/7/2023,1336,485,5799582,17238,576858,12180985,0,4148,0,4670,0,4766,0,617,4527404,1997256,2038953,50510,21201,D3,P3,15205,43684,1672,3328290,886,88600,2559,3416990,5952.59,4038.91
415
+ 3/7/2023,2712,924,9986061,28191,442261,14059535,0,5347,0,7408,0,19028,0,1044,4179823,1854231,2234940,57543,14473,D3,P3,22798,57392,2425,4796940,1308,130800,3732,4925290,7701.44,5182.84
416
+ 4/7/2023,4137,1419,4717456,14519,2137830,14463201,0,6164,0,8277,0,12283,0,1531,4449073,1959412,2350308,49085,9854,D3,P3,23585,60143,2220,4262060,1327,132700,3547,4394760,7689.38,5021.95
417
+ 5/7/2023,4166,1422,4779589,12676,2354716,18574154,0,7967,0,11552,0,6628,0,1420,4464681,1969744,2390838,41411,12751,D3,P3,22847,61021,2348,4359400,1422,142200,3769,4497600,7976.49,5170.89
418
+ 6/7/2023,4182,1444,4939385,12222,2364811,15879491,0,6575,0,8461,0,18225,0,997,4490815,1942923,2239375,44808,16216,D3,P3,23716,60282,2602,4960450,1543,154300,4145,5114750,8225.73,5423.76
419
+ 7/7/2023,3497,1181,3121447,7534,1063284,17341347,0,6025,0,8113,0,25962,0,659,4891573,2128787,1976413,57373,12464,D3,P3,23336,58252,2335,4783910,1269,126900,3604,4910810,7182.26,4846.37
420
+ 8/7/2023,2760,856,3295227,9788,1119268,19207341,0,4102,0,6195,0,40506,0,832,5039604,2277255,2330435,44052,15163,D3,P3,22278,62471,2128,4352160,1191,119100,3319,4471260,6706.12,4485.38
421
+ 9/7/2023,2809,875,3913741,11815,749310,25182206,0,6420,0,5222,0,49626,0,718,4669470,2144473,3908306,49659,11716,D3,P3,24736,69003,2620,5573560,1325,132500,3945,5706060,7673.85,5278.59
422
+ 10/7/2023,4312,1489,5972974,18402,1511035,25950979,0,9842,0,10638,0,36204,0,935,4584106,2019220,4391654,52303,12983,D3,P3,28497,78251,2578,5157430,1419,141900,3997,5299330,8174.81,5453.8
423
+ 11/7/2023,4579,1550,4999618,16469,559119,23938153,0,11688,0,36570,0,25216,0,1289,4458364,1932300,4150666,47979,12292,D3,P3,28688,77223,2707,5384090,1483,148300,4190,5532390,8594.12,5787.78
424
+ 12/7/2023,4079,1418,4465722,13191,583520,25196511,0,4610,0,9813,0,20388,0,1210,4558876,2000168,4109583,54631,12366,D3,P3,25749,73523,2403,4926480,1410,141000,3813,5067480,8000.73,5259.61
425
+ 13/07/2023,3719,1260,4635033,12302,903614,25720336,0,7867,0,6792,0,22248,0,857,4596184,1957206,3729970,48474,11017,D3,P3,22447,69283,2134,4261960,1312,131200,3447,4393760,7385.89,4769.15
426
+ 14/07/2023,3632,1224,3441594,9800,1566300,28606996,0,6726,0,6172,0,14670,0,432,4683387,2007387,3912229,52588,10079,D3,P3,19225,67928,2002,3875450,1077,107700,3079,3983150,6615.15,4505.74
427
+ 15/07/2023,2909,941,6025085,21326,1836196,28705476,0,5705,0,4369,0,31202,0,595,5008167,2251661,3727627,58143,10214,D3,P3,19533,64001,2026,4112810,1066,106600,3093,4220310,6115.73,4122.89
428
+ 16/07/2023,2818,853,7339565,26586,4043959,26752554,0,7733,0,3961,0,27180,0,1082,4716541,2092258,2114014,59204,11281,D3,P3,18871,60797,1956,3715100,1126,112600,3084,3832400,6216.99,4066.5
429
+ 17/07/2023,4420,1486,9638491,32269,819444,29437537,0,11485,0,5220,0,66236,0,2418,4359325,1937825,1989872,55815,11896,D3,P3,35493,89662,2771,5539890,1521,152100,4292,5691990,8025.2,5388.69
430
+ 18/07/2023,4574,1551,9498457,31230,1206114,29164369,0,5012,0,7146,0,47074,0,2358,4882304,2163458,2157773,69573,12604,D3,P3,32238,84091,2687,5214920,1329,132900,4016,5347820,7833.63,5336.47
431
+ 19/07/2023,4632,1537,9742535,26935,1491736,30394328,0,6147,0,7028,0,11807,0,1476,4613422,2080215,1981362,67495,12116,D3,P3,23193,69138,2342,4581910,1084,108400,3426,4690310,7118.68,4991.3
432
+ 20/07/2023,4891,1632,7630122,20720,2370192,23939153,0,6261,0,5635,0,17220,0,1338,4484291,1922090,1663127,75312,12252,D3,P3,23193,63445,2209,4471970,995,99500,3255,4576570,6700.79,4599.1
433
+ 21/07/2023,3978,1378,7284968,21477,2456715,17869335,0,6360,0,10877,0,11431,0,769,4519305,1975730,1686467,68931,10065,D3,P3,21478,57996,2115,4257360,1006,100600,3121,4357960,6467.01,4497.43
434
+ 22/07/2023,3151,978,5638955,16181,2015345,12808440,0,7097,0,5145,0,13811,0,699,4689346,2086993,1861883,71898,9081,D3,P3,17602,50209,1897,3876970,830,83000,2727,3959970,5812.35,4126.62
435
+ 23/07/2023,2905,986,6133144,16089,881691,11267535,0,5593,0,4746,0,68021,0,514,4242878,1843843,1681215,61164,10797,D3,P3,25804,58279,2442,5168300,1161,116100,3603,5284400,6622.56,4639.27
436
+ 24/07/2023,4606,1651,8830736,21931,189913,35658281,0,8836,0,6040,0,64066,0,1626,3943001,1708849,1900126,59494,10236,D3,P3,31953,73505,2898,6111230,1424,142400,4321,6253530,8030.22,5492.47
437
+ 25/07/2023,4414,1597,7750251,15384,3348941,25011847,0,10262,0,9572,0,15072,0,916,3976490,1729916,1911109,68826,11468,D3,P3,26162,65005,2440,4822810,1154,115400,3594,4938210,7092.81,4965.39
438
+ 26/07/2023,4488,1530,8125332,16391,1040452,24380635,0,9947,0,16453,0,38777,0,1551,3837786,1680967,1856885,74924,13290,D3,P3,31894,69746,2797,5552460,1348,134800,4147,5687460,7359.12,5027.76
439
+ 27/07/2023,4105,1494,8054962,14724,220302,13070502,0,6758,0,8841,0,20622,0,1313,3636297,1544742,1772602,63935,11680,D3,P3,24634,57255,2498,5018670,1196,119600,3694,5138270,7106.66,4875.99
440
+ 28/07/2023,3743,1318,6955526,11566,3991586,5347413,0,10451,0,8496,0,20184,0,1563,3890784,1680538,1608577,73120,11390,D3,P3,22265,50660,2204,4515740,1054,105400,3258,4621140,6441.87,4432.07
441
+ 29/07/2023,3395,1192,5132501,9837,1349895,4441709,0,7115,0,5449,0,18983,0,1129,4295602,1813637,1824777,80511,11911,D3,P3,17626,42341,1930,3807270,860,86000,2790,3893270,5519.71,3922.54
442
+ 30/07/2023,2746,903,4903153,11018,710000,4431986,0,8491,0,4599,0,24834,0,1109,3924352,1733790,1740605,72221,11440,D3,P3,17619,43309,1942,3937090,834,83400,2776,4020490,5556.3,3945.89
443
+ 31/07/2023,4208,1476,6832832,19648,1721973,4079656,0,7754,0,7818,0,27918,0,2050,3760475,1501134,1957900,62124,11605,D3,P3,22728,51399,2256,4604950,1046,104600,3302,4709550,6481.79,4556.75
444
+ 1/8/2023,4203,1489,6398210,15890,2250090,5457683,0,7588,0,7948,0,61894,0,1248,3687038,1439092,1774701,61448,11492,D3,P3,31009,67515,2609,5471270,1309,130900,3918,5602170,6825.97,4671.87
445
+ 2/8/2023,4285,1515,5402871,14825,785167,6582085,0,6079,0,7236,0,79041,0,1345,3807266,1493340,2025308,54506,11515,D3,P3,34034,74123,2858,5856910,1360,136000,4218,5992910,7171.23,4989.3
446
+ 3/8/2023,4667,1744,4724924,8903,1111815,10407793,0,9077,0,7117,0,31714,0,1983,3797879,1479623,1718831,52587,11408,D3,P3,23978,62504,2404,4832400,1095,109500,3498,4941800,6670.71,4627.48
447
+ 4/8/2023,4201,1562,3732952,9116,4574481,10660977,0,8436,0,6970,0,25097,0,1055,3814852,1466211,1374674,57482,10785,D3,P3,21714,62922,2226,4561560,975,97500,3201,4659060,6133.71,4366.77
448
+ 5/8/2023,3080,1110,3310732,9884,3460283,11580456,0,5735,0,5049,0,5911,0,704,4048945,1601234,1442690,65158,9942,D3,P3,13792,52995,1578,3188640,720,72000,2298,3260640,4760.04,3375.44
449
+ 6/8/2023,2809,979,4153998,11663,5103054,8381689,0,4868,0,4184,0,28658,0,637,4040770,1250223,1844909,47698,10816,D3,P3,17706,56827,1841,3921270,842,84200,2683,4005470,5062.91,3520.39
450
+ 7/8/2023,3522,1186,3164171,10000,4137349,8709017,0,6112,0,6640,0,43866,0,1285,3928811,1288638,1861166,44623,11648,D3,P3,26772,71580,2456,4923260,1132,113200,3587,5034960,6580.87,4648.84
451
+ 8/8/2023,4111,1495,6020074,15008,2923076,5012245,0,6684,0,6961,0,12257,0,3038,3921429,1094791,2059462,48047,10379,D3,P3,22363,60212,2075,4138870,971,97100,3046,4235970,6286.57,4418.71
452
+ 9/8/2023,3609,1285,5616011,13195,2483117,3900778,0,8177,0,6447,0,12774,0,1309,3322165,452000,2262292,52219,11047,D3,P3,21099,53059,2067,4030270,1010,101000,3077,4131270,6309.32,4273.88
453
+ 10/8/2023,3872,1330,5270940,11342,1305507,3614496,0,6927,0,6602,0,21830,0,986,2868345,452896,1541791,46720,10556,D3,P3,22515,52055,2216,4848640,974,97400,3190,4946040,6281.59,4498.26
454
+ 11/8/2023,3673,1257,4485834,10445,3562053,5521177,0,5810,0,13751,0,5797,0,751,3242607,511016,1679989,47262,10344,D3,P3,17086,46491,1551,3242370,671,67100,2222,3309470,4608.96,3355.58
455
+ 12/8/2023,2744,960,3946512,10052,4015316,5813616,0,6205,0,10379,0,9890,0,532,3761072,595191,1931989,54787,9210,D3,P3,15949,46498,1376,3113130,639,63900,2016,3177130,4121.65,2907.82
456
+ 13/08/2023,2418,775,5051792,11809,1869057,6348414,0,4093,0,5187,0,21320,0,399,3279816,503805,2171335,55136,10546,D3,P3,14745,44224,1327,2888900,648,64800,1975,2953700,3905.29,2752.8
457
+ 14/08/2023,3551,1196,4839009,11805,1765326,3758610,0,6170,0,7226,0,19575,0,706,2974893,427940,1822890,49127,11042,D3,P3,20336,49993,1770,3798710,748,74800,2518,3873510,5195.83,3786.85
458
+ 15/08/2023,3430,1312,6520709,24857,1792924,1852314,0,6063,0,9302,0,34681,0,778,3080012,462344,1935145,57900,11083,D3,P3,24449,48710,1946,4332210,807,80700,2752,4412810,5367.05,3930.18
459
+ 16/08/2023,3253,1175,4844378,27290,3478033,1293346,0,5884,0,8280,0,29077,0,1055,3150093,468159,2094524,58937,11823,D3,P3,23892,46995,1911,3996580,780,78000,2691,4074580,5452.88,3979.2
460
+ 17/08/2023,3714,1417,4702754,23408,4058942,1186576,0,11301,0,10504,0,15462,0,1017,3071572,444690,1961293,58681,10987,D3,P3,21265,42100,1700,3517380,704,70400,2404,3587780,5150.22,3718.85
461
+ 18/08/2023,1936,710,4370177,18919,3789636,1020973,0,9525,0,8958,0,32346,0,909,3252966,461174,2031390,61098,10354,D3,P3,20983,41383,1778,3654630,679,67900,2457,3722530,5019.58,3716.93
462
+ 19/08/2023,1998,723,3683868,14860,5187185,1336224,0,8305,0,6265,0,13396,0,1267,3460234,494225,2037289,68988,9709,D3,P3,14640,31119,1331,2887610,528,52800,1860,2943410,4059.2,3012.38
463
+ 20/08/2023,2458,839,5558511,16917,6444084,1333600,0,8083,0,5668,0,9425,0,593,3233047,427550,2093935,58698,11658,D3,P3,13616,29557,1227,2592690,476,47600,1703,2640290,3842.86,2850.38
464
+ 21/08/2023,2316,892,5802540,21997,1578062,1099659,0,9057,0,8434,0,11204,0,597,3110596,442523,1991499,71910,13059,D3,P3,19336,38812,1656,3445610,663,66300,2319,3510210,5100.16,3789.37
465
+ 22/08/2023,2208,845,5006504,13886,598218,939529,0,18631,0,11119,0,18304,0,666,3020862,419659,1960342,66769,12591,D3,P3,21348,42166,1844,3824050,762,76200,2582,3877380,5610.58,4088.17
466
+ 23/08/2023,2104,821,5240143,16309,1941212,2081327,0,17073,0,8077,0,6042,0,709,2634348,409468,1726842,53998,13783,D3,P3,18864,38949,1513,3153720,655,65500,2165,3219310,4984.78,3596.01
467
+ 24/08/2023,2011,685,5623870,14314,380971,2132605,0,13223,0,7340,0,11449,0,1774,2244344,385012,1409286,55699,13185,D3,P3,18821,38282,1665,3378840,678,67800,2358,3474730,5209.76,3795.85
468
+ 25/08/2023,1889,680,4674166,13506,1119189,1818097,0,33200,0,7250,0,16577,0,3622,2405697,395219,1564070,61103,13348,D3,P3,18364,37536,1863,3939560,638,63800,2501,4003360,5070.56,3850.47
469
+ 26/08/2023,1229,379,5475213,18030,476090,1048919,0,15316,0,4976,0,16625,0,3546,2662312,434769,1789446,61768,13346,D3,P3,16076,32992,1816,3388030,606,60600,2422,3448630,4877.02,3729.33
470
+ 27/08/2023,1333,486,5591938,13138,956722,732493,0,12952,0,4227,0,19562,0,2354,2470188,417919,1980888,53707,14151,D3,P3,14834,30563,1572,2979370,536,53600,2108,3032970,4232.88,3241.64
471
+ 28/08/2023,2031,760,7120359,17304,592505,571748,0,44816,0,8728,0,19999,0,3813,2357294,420574,1878047,50335,13442,D3,P3,20994,42982,1970,3877550,642,64200,2612,3941750,5610.5,4325.83
472
+ 29/08/2023,1560,550,6349650,18074,395464,276869,0,217642,0,8742,0,36555,0,2778,2437012,455532,1707585,52913,12648,D3,P3,25919,51217,2270,4323380,803,80300,3073,4403680,6223.41,4701.59
473
+ 30/08/2023,1788,623,6774580,17019,804715,227676,0,92490,0,7576,0,33376,0,1815,2461827,452647,1924554,57945,12244,D3,P3,24015,48307,2298,4414000,796,79600,3094,4493600,5983.31,4520.44
474
+ 31/08/2023,2251,790,6881955,16586,462096,216142,0,177608,0,7188,0,13212,0,1862,2630688,508779,1691540,44071,12093,D3,P3,17587,35874,1809,3406910,604,60400,2413,3467310,5218.62,4005.29
475
+ 1/9/2023,2763,930,5360505,17680,259775,323504,0,21865,0,7383,0,4899,0,1313,2723715,529388,1841032,48663,11275,D3,P3,13457,29785,1396,2542480,459,45900,1855,2588380,4243.41,3270.46
476
+ 2/9/2023,2597,870,4478842,15289,1226680,320820,0,26924,0,6477,0,4896,0,1454,2929332,613163,1945160,60288,10815,D3,P3,12337,27451,1347,2481120,508,50800,1855,2531920,4227.98,3109.35
477
+ 3/9/2023,2332,762,5174329,13994,449228,288375,0,20423,0,5755,0,10890,0,1494,2516381,558353,1697712,54329,11996,D3,P3,12609,27028,1428,2699310,481,48100,1909,2747410,4177.46,3164.79
478
+ 4/9/2023,3561,1229,5334952,17444,296660,306771,0,324815,0,7849,0,41134,0,2069,2485534,613680,1823512,52578,12787,D3,P3,22283,45146,2065,3908960,791,79100,2855,3987700,5743.35,4264.57
479
+ 5/9/2023,2261,816,6113505,20426,302910,227998,0,287642,0,7998,0,21025,0,1448,2453507,595873,1648165,49590,11749,D3,P3,19096,40015,1818,3314870,588,58800,2407,3377390,5367.87,4153.87
480
+ 6/9/2023,2868,1031,5558783,13407,1266416,255848,0,203777,0,8887,0,9020,0,933,2766708,736889,1987155,47189,10851,D3,P3,14311,31495,1502,2764430,499,49900,2001,2814330,4575.2,3510.97
481
+ 7/9/2023,2394,832,4907653,9041,191893,285511,0,202017,0,8317,0,6879,0,801,2616416,630668,1712157,47089,11632,D3,P3,13483,29283,1544,2846790,463,46300,2007,2893090,4770.64,3739.02
482
+ 8/9/2023,2689,910,4752031,8867,157343,302141,0,201772,0,8717,0,5684,0,1428,2705167,791338,1852090,43707,10493,D3,P3,13830,29726,1531,2806450,518,51800,2049,2858250,4807.58,3697.23
483
+ 9/9/2023,2204,752,3975657,10022,227113,245700,0,201776,0,7299,0,4098,0,758,2929279,827015,2001938,50033,10082,D3,P3,12284,26212,1414,2674080,433,43300,1847,2717380,4310.87,3354.94
484
+ 10/9/2023,2167,743,4243960,10399,270612,291468,0,201256,0,6099,0,8097,0,809,2352670,1241029,1966290,41767,10185,D3,P3,12594,26398,1498,2834900,435,43500,1933,2878400,4460.59,3531.69
485
+ 11/9/2023,3381,1227,4492340,10684,1192346,154867,0,202476,0,8393,0,6493,0,838,2573007,1455728,1830559,39596,12910,D3,P3,15510,32142,1544,2881650,449,44900,1992,2923700,4715.59,3736.66
486
+ 12/9/2023,2511,884,4936079,10015,199137,170680,0,50740,0,8506,0,26721,0,1085,2527461,1481401,1856155,40974,11883,D3,P3,22786,42733,2027,4286230,326,32600,2353,4318830,5172.4,4510.57
487
+ 13/09/2023,2143,778,5115564,10338,292239,238162,0,2408,0,7172,0,36811,0,836,2621020,1580825,1962940,39948,11634,D3,P3,22084,41155,1880,3809460,281,28100,2161,3837560,4765.04,4181.98
488
+ 14/09/2023,2307,798,4859067,12717,1181194,308251,0,948,0,7404,0,38152,0,1282,2677877,1397139,1251585,46129,10253,D3,P3,21377,40308,1959,3742130,550,55000,2509,3797130,5413.06,4301.68
489
+ 15/09/2023,2467,882,4260164,9702,399193,291844,0,756,0,6932,0,16060,0,2982,2751748,1416780,1269521,57909,10048,D3,P3,16118,32895,1659,3149040,526,52600,2185,3201640,4920.59,3802.04
490
+ 16/09/2023,2076,687,3350011,7707,620978,196303,0,663,0,6018,0,9889,0,1188,3083552,1564491,1439332,61159,9435,D3,P3,12830,26945,1488,2798420,446,44600,1934,2843020,4519.52,3564.8
491
+ 17/09/2023,2467,802,4503316,11119,581720,236009,0,637,0,4814,0,10024,0,2464,2935930,1503370,1649587,48796,10073,D3,P3,12357,25262,1396,2560250,455,45500,1851,2605750,4246.67,3287.31
492
+ 18/09/2023,2910,1024,5568066,14302,184276,143660,0,888,0,6922,0,10381,0,1767,2373681,1330212,1479501,51224,10488,D3,P3,16441,33582,1727,3152630,572,57200,2300,3209930,5491.87,4171.85
493
+ 19/09/2023,3252,1309,6105220,12193,208312,187769,0,1464,0,5210,0,8092,0,1504,2373344,1285881,1407015,40642,10547,D3,P3,17770,36578,1743,3229930,653,65300,2395,3291230,5666.71,4236.34
494
+ 20/09/2023,2796,1185,6055420,14003,291395,272928,0,1077,0,4246,0,10472,0,1830,2565110,1425196,1460886,48962,10318,D3,P3,16656,34188,1627,3048960,738,73800,2365,3121460,5577.7,3950.97
495
+ 21/09/2023,2208,878,5225528,8679,697480,160425,0,1033,0,6726,0,13928,0,1357,2686089,1447330,1236533,49940,10259,D3,P3,17253,34210,1912,3553480,811,81100,2723,3634580,6248.63,4440.07
496
+ 22/09/2023,1734,783,4373391,8141,2220006,88968,0,738,0,9534,0,8771,0,1690,2460283,1353647,1258771,45467,9910,D3,P3,14958,31389,1714,3084570,758,75800,2472,3160370,5984.05,4280.38
497
+ 23/09/2023,1190,492,4948823,10035,2432739,154849,0,702,0,8285,0,4369,0,806,2740252,1531672,1407980,51747,8665,D3,P3,12641,27336,1443,2653190,652,65200,2095,2718390,5094.46,3633.56
498
+ 24/09/2023,1124,496,6239124,10744,248085,231243,0,477,0,8032,0,8640,0,1449,2648532,1476875,1294436,36638,10410,D3,P3,12153,26113,1395,2618830,621,62100,2016,2680930,4558.91,3242.77
499
+ 25/09/2023,2358,1041,5325249,9804,251517,447312,0,591,0,11299,0,21103,0,1135,2371891,1333464,1222194,36894,9191,D3,P3,18608,38878,2041,3740860,897,89700,2938,3830560,6554.2,4744.62
500
+ 26/09/2023,2092,994,5361926,13223,90916,351820,0,910,0,10598,0,27697,0,2803,2612585,1502573,1256804,33211,8893,D3,P3,21214,41166,2128,3878240,935,93500,3063,3971740,6565.1,4696.86
501
+ 27/09/2023,1835,792,4600061,14060,728920,347014,0,1111,0,8811,0,104094,0,1780,2488689,1390273,1203937,33935,8769,D3,P3,37289,65137,2933,5530540,1595,159500,4525,5686340,8073.74,5545.54
502
+ 28/09/2023,1787,807,4114657,9434,84913,564139,0,279332,0,6975,0,51946,0,2516,2290090,1309586,1316086,32443,8606,D3,P3,25651,47307,2343,4257450,1199,119900,3542,4377350,7151.36,4963.98
503
+ 29/09/2023,1513,641,4477584,8505,211297,372199,0,443,0,4039,0,4466,0,1774,2429135,1379398,1425850,31700,7184,D3,P3,12276,26946,1488,2459350,613,61300,2101,2520650,5148.56,3726.34
504
+ 30/09/2023,1127,478,4089760,9316,222854,364180,0,517,0,3251,0,13297,0,1425,1049942,435407,548780,10869,4505,D3,P3,12905,27091,1533,2701900,640,64000,2173,2765900,5022.4,3685.32
505
+ 1/10/2023,1021,436,748856,2639,301970,224135,0,846,0,2731,0,7574,0,962,935755,413098,1084400,13147,5335,D3,P3,9103,18479,1165,2022810,467,46700,1632,2069510,3823.3,2818.63
506
+ 2/10/2023,1673,764,1692932,4211,387802,237932,0,1564,0,12820,0,9400,0,1463,877002,383352,1016934,14302,5965,D3,P3,12307,24110,1290,2265000,565,56500,1855,2321500,4314.73,3091.4
507
+ 3/10/2023,1516,725,1757367,3947,568156,171003,0,1739,0,21454,0,5276,0,1640,833524,365270,973716,14227,5936,D3,P3,12568,24900,1344,2390760,645,64500,1989,2455260,4686.71,3259.46
508
+ 4/10/2023,1786,763,1733340,3119,567654,129402,0,1726,0,15833,0,13543,0,2940,836392,368220,1029847,13931,5864,D3,P3,13780,26581,1383,2427230,695,69500,2078,2496730,4764.92,3278.39
509
+ 5/10/2023,1986,861,1671129,3736,504268,159069,0,1747,0,24285,0,8234,0,3163,830805,380396,476125,13399,5529,D3,P3,12797,24819,1428,2572910,640,64050,2067,2626960,4940.4,3504.67
510
+ 6/10/2023,1774,753,1348401,2784,702326,205479,0,1686,0,15228,0,12269,0,2107,817142,382879,504402,11840,5476,D3,P3,11345,22554,1268,2317850,601,60300,1869,2378150,4247.46,3014.11
511
+ 7/10/2023,1150,416,1175733,2242,359848,180366,0,1446,0,19417,0,27951,0,2050,921412,418533,520370,11215,5083,D3,P3,14047,25738,1516,3012040,684,68550,2200,3080590,4256.92,3052.07
512
+ 8/10/2023,999,337,1296701,2609,662748,293989,0,1415,0,14589,0,18476,0,1786,768086,352949,357821,12788,5550,D3,P3,11419,21977,1320,2426760,572,57400,1892,2484160,4025.59,2933.34
513
+ 9/10/2023,772,289,1942734,4167,3096792,191352,0,1855,0,24331,0,21658,0,1757,653538,261410,590317,14449,6333,D3,P3,14624,27809,1367,2649310,715,73600,2082,2722910,4326.63,2956.14
514
+ 10/10/2023,737,241,1911227,4238,565419,164827,0,2101,0,11526,0,9057,0,2720,734200,300476,568450,13952,6145,D3,P3,12640,24537,1376,2459930,653,68350,2029,2528280,4537.77,3219.59
515
+ 11/10/2023,681,256,2171216,4714,503802,216630,0,1921,0,7255,0,7549,0,2025,958835,399349,595481,12432,5599,D3,P3,11486,22322,1319,2395980,638,66400,1958,2463820,4317.3,3006.02
516
+ 12/10/2023,673,240,1820266,4067,233553,161215,0,8042,0,4686,0,5288,0,1408,861845,336598,557239,13130,5889,D3,P3,9536,18332,1167,1988790,536,56350,1702,2044540,3786.09,2688.23
517
+ 13/10/2023,595,233,1529402,3094,68852,156834,0,7184,0,4986,0,14364,0,1924,801772,317596,563967,12222,5539,D3,P3,12220,23105,1373,2510340,641,66600,2014,2576940,4218.4,2949.55
518
+ 14/10/2023,748,266,1013578,2156,48430,185877,0,3043,0,4287,0,14809,0,2117,929822,362662,603684,11533,5191,D3,P3,11280,21172,1275,2379750,592,62050,1867,2441800,3859.27,2715.54
519
+ 15/10/2023,602,201,1596953,4098,55580,222305,0,12269,0,4366,0,15778,0,1639,891052,327915,425822,13301,6358,D3,P3,10476,19507,1178,2129330,587,60800,1765,2190130,3766.36,2609.81
520
+ 16/10/2023,964,369,2144206,5169,31683,118393,0,6488,0,5537,0,65656,0,1254,842123,317951,810650,16455,7813,D3,P3,23493,39642,2233,4391770,1136,117850,3369,4509620,5998.13,4174.09
521
+ 17/10/2023,1105,415,2112245,5363,69479,70676,0,4964,0,4816,0,18719,0,2353,816941,328053,766996,14912,7402,D3,P3,15733,28542,1531,2735230,779,81300,2310,2816530,5078.87,3496.45
522
+ 18/10/2023,913,348,1892230,4633,451927,111742,0,4068,0,4855,0,32612,0,2028,957593,377866,689470,15228,7272,D3,P3,18694,32354,1918,3636660,883,91900,2801,3728560,5610.31,3986.54
523
+ 19/10/2023,914,302,1550243,3817,100009,183549,0,4309,0,4468,0,68322,0,2169,846076,336810,775970,14394,6925,D3,P3,26120,43767,2170,4171580,1158,120800,3328,4292380,5891.41,4024.57
524
+ 20/10/2023,663,208,1100622,2740,174916,181797,0,3695,0,4056,0,58835,0,1887,910115,366406,653096,15447,6572,D3,P3,22398,38504,2218,4385190,1035,108650,3253,4493840,5680.14,4012.57
525
+ 21/10/2023,559,184,1405730,3216,207981,276329,0,2723,0,3213,0,44899,0,1893,1184901,485051,850250,14780,6181,D3,P3,17236,31207,1638,3121900,793,82100,2431,3204000,4493.8,3159.39
526
+ 22/10/2023,545,198,1467468,3228,520836,253840,0,2213,0,2850,0,27411,0,1911,1154732,423852,1027954,10344,4893,D3,P3,13607,25217,1482,2893810,725,75700,2207,2969510,4332.98,3030.72
527
+ 23/10/2023,625,231,2018062,5517,333114,436011,0,2839,0,3772,0,11121,0,1351,1208181,428535,1111507,11684,6220,D3,P3,12048,23419,1256,2226550,585,61300,1840,2287750,4042.32,2864.75
528
+ 24/10/2023,574,226,1889784,5099,188275,228582,0,2709,0,2462,0,1109,0,1918,1083131,378488,1161439,11452,5728,D3,P3,10595,21221,1092,1909130,407,43350,1499,1952480,3725.66,2756.39
529
+ 25/10/2023,536,184,2276229,5661,77308,332105,0,2708,0,2679,0,525,0,2402,905535,310989,865636,11200,5884,D3,P3,10143,20535,887,1832160,331,37050,1218,1869210,3037.38,2236.69
530
+ 26/10/2023,609,200,1753696,4367,85971,236204,0,2136,0,2300,0,10,0,3842,968078,332008,771447,10098,5558,D3,P3,9900,19640,858,1671270,347,38950,1205,1710220,2995.78,2165.99
531
+ 27/10/2023,563,209,1636932,3338,246909,285904,0,1992,0,2323,0,5,0,2851,1063329,352124,929257,9507,5001,D3,P3,8240,17233,780,1422510,309,35500,1089,1458010,2635.69,1927
532
+ 28/10/2023,450,155,1588245,4276,235960,324079,0,2716,0,1753,0,1,0,2585,1191854,384343,1028724,8578,4958,D3,P3,7529,15744,725,1476840,300,33850,1025,1510690,2588.52,1884.51
533
+ 29/10/2023,309,117,1731474,5065,70210,331208,0,2241,0,1708,0,5,0,3120,1137463,385520,764681,10186,5650,D3,P3,7535,14889,747,1514990,287,32300,1034,1547290,2594.6,1909.86
534
+ 31/10/2023,486,182,2220653,5950,41641,213812,0,149,0,2404,0,15,0,1380,913362,318222,1020094,10416,3703,D3,P3,8678,18059,784,1613510,309,34550,1093,1648060,2844.9,2076.88
535
+ 1/11/2023,296,123,1834772,4275,201158,313487,0,889,0,2485,0,33093,0,2287,862276,316545,798469,11740,3972,D3,P3,16341,28782,1292,2880920,542,58750,1834,2939670,3468.46,2536.62
536
+ 2/11/2023,346,111,1697213,2987,1586296,64435,0,957,0,2130,0,16368,0,3586,840477,298617,830972,10008,3641,D3,P3,12216,22498,1071,2342490,402,43400,1473,2385890,3237.48,2396.17
537
+ 3/11/2023,224,89,1759831,2940,93667,74522,0,962,0,2484,0,14150,0,953,952592,350909,800378,11090,3818,D3,P3,10460,20113,902,1897210,372,40600,1274,1937810,2883.8,2066.5
538
+ 4/11/2023,214,76,1677064,2752,65182,61325,0,1796,0,3084,0,10438,0,1148,957265,344580,821570,11309,4380,D3,P3,8630,17741,757,1590600,290,31650,1047,1622250,2519.34,1826.6
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1
+ '''
2
+ MMO Build Sprint 3
3
+ additions : contributions calculated using tuned Mixed LM model
4
+ pending : contributions calculations using - 1. not tuned Mixed LM model, 2. tuned OLS model, 3. not tuned OLS model
5
+
6
+ MMO Build Sprint 4
7
+ additions : response metrics selection
8
+ pending : contributions calculations using - 1. not tuned Mixed LM model, 2. tuned OLS model, 3. not tuned OLS model
9
+ '''
10
+
11
+ import streamlit as st
12
+ import pandas as pd
13
+ from sklearn.preprocessing import MinMaxScaler
14
+ import pickle
15
+
16
+ from utilities import load_authenticator
17
+
18
+ from utilities_with_panel import (set_header,
19
+ overview_test_data_prep_panel,
20
+ overview_test_data_prep_nonpanel,
21
+ initialize_data,
22
+ load_local_css,
23
+ create_channel_summary,
24
+ create_contribution_pie,
25
+ create_contribuion_stacked_plot,
26
+ create_channel_spends_sales_plot,
27
+ format_numbers,
28
+ channel_name_formating)
29
+
30
+ import plotly.graph_objects as go
31
+ import streamlit_authenticator as stauth
32
+ import yaml
33
+ from yaml import SafeLoader
34
+ import time
35
+
36
+ st.set_page_config(layout='wide')
37
+ load_local_css('styles.css')
38
+ set_header()
39
+
40
+
41
+ def get_random_effects(media_data, panel_col, mdf):
42
+ random_eff_df = pd.DataFrame(columns=[panel_col, "random_effect"])
43
+
44
+ for i, market in enumerate(media_data[panel_col].unique()):
45
+ print(i, end='\r')
46
+ intercept = mdf.random_effects[market].values[0]
47
+ random_eff_df.loc[i, 'random_effect'] = intercept
48
+ random_eff_df.loc[i, panel_col] = market
49
+
50
+ return random_eff_df
51
+
52
+
53
+ def process_train_and_test(train, test, features, panel_col, target_col):
54
+ X1 = train[features]
55
+
56
+ ss = MinMaxScaler()
57
+ X1 = pd.DataFrame(ss.fit_transform(X1), columns=X1.columns)
58
+
59
+ X1[panel_col] = train[panel_col]
60
+ X1[target_col] = train[target_col]
61
+
62
+ if test is not None:
63
+ X2 = test[features]
64
+ X2 = pd.DataFrame(ss.transform(X2), columns=X2.columns)
65
+ X2[panel_col] = test[panel_col]
66
+ X2[target_col] = test[target_col]
67
+ return X1, X2
68
+ return X1
69
+
70
+ def mdf_predict(X_df, mdf, random_eff_df) :
71
+ X=X_df.copy()
72
+ X=pd.merge(X, random_eff_df[[panel_col,'random_effect']], on=panel_col, how='left')
73
+ X['pred_fixed_effect'] = mdf.predict(X)
74
+
75
+ X['pred'] = X['pred_fixed_effect'] + X['random_effect']
76
+ X.to_csv('Test/merged_df_contri.csv',index=False)
77
+ X.drop(columns=['pred_fixed_effect', 'random_effect'], inplace=True)
78
+
79
+ return X
80
+
81
+
82
+ target_col='Revenue'
83
+ target='Revenue'
84
+
85
+ # is_panel=False
86
+ # is_panel = st.session_state['is_panel']
87
+ #panel_col = [col.lower().replace('.','_').replace('@','_').replace(" ", "_").replace('-', '').replace(':', '').replace("__", "_") for col in st.session_state['bin_dict']['Panel Level 1'] ] [0]# set the panel column
88
+ panel_col='Panel'
89
+ date_col = 'date'
90
+
91
+ #st.write(media_data)
92
+
93
+ is_panel = True
94
+
95
+ # panel_col='markets'
96
+ date_col = 'date'
97
+ for k, v in st.session_state.items():
98
+
99
+ if k not in ['logout', 'login','config'] and not k.startswith('FormSubmitter'):
100
+ st.session_state[k] = v
101
+
102
+ authenticator = st.session_state.get('authenticator')
103
+
104
+ if authenticator is None:
105
+ authenticator = load_authenticator()
106
+
107
+ name, authentication_status, username = authenticator.login('Login', 'main')
108
+ auth_status = st.session_state['authentication_status']
109
+
110
+ if auth_status:
111
+ authenticator.logout('Logout', 'main')
112
+
113
+ is_state_initiaized = st.session_state.get('initialized',False)
114
+ if not is_state_initiaized:
115
+ a=1
116
+
117
+ def panel_fetch(file_selected):
118
+ raw_data_mmm_df = pd.read_excel(file_selected, sheet_name="RAW DATA MMM")
119
+
120
+ if "Panel" in raw_data_mmm_df.columns:
121
+ panel = list(set(raw_data_mmm_df["Panel"]))
122
+ else:
123
+ raw_data_mmm_df = None
124
+ panel = None
125
+
126
+ return panel
127
+
128
+ def rerun():
129
+ st.rerun()
130
+
131
+ metrics_selected='revenue'
132
+
133
+ file_selected = (
134
+ f"metrics_level_data\Overview_data_test_panel@#revenue.xlsx"
135
+ )
136
+ panel_list = panel_fetch(file_selected)
137
+
138
+ if "selected_markets" not in st.session_state:
139
+ st.session_state['selected_markets']='DMA1'
140
+
141
+
142
+ st.header('Overview of previous spends')
143
+
144
+ selected_market= st.selectbox(
145
+ "Select Markets",
146
+ ["Total Market"] + panel_list
147
+ )
148
+
149
+
150
+
151
+ initialize_data(target_col,selected_market)
152
+ scenario = st.session_state['scenario']
153
+ raw_df = st.session_state['raw_df']
154
+ # st.write(scenario.actual_total_spends)
155
+ # st.write(scenario.actual_total_sales)
156
+ columns = st.columns((1,1,3))
157
+
158
+ with columns[0]:
159
+ st.metric(label='Spends', value=format_numbers(float(scenario.actual_total_spends)))
160
+ ###print(f"##################### {scenario.actual_total_sales} ##################")
161
+ with columns[1]:
162
+ st.metric(label=target, value=format_numbers(float(scenario.actual_total_sales)))
163
+
164
+
165
+ actual_summary_df = create_channel_summary(scenario)
166
+ actual_summary_df['Channel'] = actual_summary_df['Channel'].apply(channel_name_formating)
167
+
168
+ columns = st.columns((2,1))
169
+ #with columns[0]:
170
+ with st.expander('Channel wise overview'):
171
+ st.markdown(actual_summary_df.style.set_table_styles(
172
+ [{
173
+ 'selector': 'th',
174
+ 'props': [('background-color', '#FFFFF')]
175
+ },
176
+ {
177
+ 'selector' : 'tr:nth-child(even)',
178
+ 'props' : [('background-color', '#FFFFF')]
179
+ }]).to_html(), unsafe_allow_html=True)
180
+
181
+ st.markdown("<hr>",unsafe_allow_html=True)
182
+ ##############################
183
+
184
+ st.plotly_chart(create_contribution_pie(scenario),use_container_width=True)
185
+ st.markdown("<hr>",unsafe_allow_html=True)
186
+
187
+
188
+ ################################3
189
+ st.plotly_chart(create_contribuion_stacked_plot(scenario),use_container_width=True)
190
+ st.markdown("<hr>",unsafe_allow_html=True)
191
+ #######################################
192
+
193
+ selected_channel_name = st.selectbox('Channel', st.session_state['channels_list'] + ['non media'], format_func=channel_name_formating)
194
+ selected_channel = scenario.channels.get(selected_channel_name,None)
195
+
196
+ st.plotly_chart(create_channel_spends_sales_plot(selected_channel), use_container_width=True)
197
+
198
+ st.markdown("<hr>",unsafe_allow_html=True)
199
+
200
+ # elif auth_status == False:
201
+ # st.error('Username/Password is incorrect')
202
+
203
+ # if auth_status != True:
204
+ # try:
205
+ # username_forgot_pw, email_forgot_password, random_password = authenticator.forgot_password('Forgot password')
206
+ # if username_forgot_pw:
207
+ # st.success('New password sent securely')
208
+ # # Random password to be transferred to user securely
209
+ # elif username_forgot_pw == False:
210
+ # st.error('Username not found')
211
+ # except Exception as e:
212
+ # st.error(e)
Overview_data_test.xlsx ADDED
Binary file (27.4 kB). View file
 
Overview_data_test_panel@#revenue.xlsx ADDED
Binary file (28.1 kB). View file
 
Pickle_files/category_dict ADDED
Binary file (796 Bytes). View file
 
Pickle_files/main_df ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ed723abf96a19138a886dc00961bef6d05391483deeca9bea4a50f05045d48e
3
+ size 2221488
README.md CHANGED
@@ -1,12 +1,12 @@
1
- ---
2
- title: Aldi
3
- emoji: 👀
4
- colorFrom: gray
5
- colorTo: blue
6
- sdk: streamlit
7
- sdk_version: 1.34.0
8
- app_file: app.py
9
- pinned: false
10
- ---
11
-
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
+ ---
2
+ title: Mastercard
3
+ emoji: 🏆
4
+ colorFrom: indigo
5
+ colorTo: pink
6
+ sdk: streamlit
7
+ sdk_version: 1.32.1
8
+ app_file: app.py
9
+ pinned: false
10
+ ---
11
+
12
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Scenario.py ADDED
@@ -0,0 +1,338 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import streamlit as st
2
+ import pandas as pd
3
+ import plotly.express as px
4
+ import plotly.graph_objects as go
5
+ import numpy as np
6
+ import plotly.express as px
7
+ import plotly.graph_objects as go
8
+ import pandas as pd
9
+ import seaborn as sns
10
+ import matplotlib.pyplot as plt
11
+ import datetime
12
+ from utilities import set_header,initialize_data,load_local_css
13
+ from scipy.optimize import curve_fit
14
+ import statsmodels.api as sm
15
+ from plotly.subplots import make_subplots
16
+
17
+ st.set_page_config(
18
+ page_title="Data Validation",
19
+ page_icon=":shark:",
20
+ layout="wide",
21
+ initial_sidebar_state='collapsed'
22
+ )
23
+ load_local_css('styles.css')
24
+ set_header()
25
+
26
+ def format_numbers(x):
27
+ if abs(x) >= 1e6:
28
+ # Format as millions with one decimal place and commas
29
+ return f'{x/1e6:,.1f}M'
30
+ elif abs(x) >= 1e3:
31
+ # Format as thousands with one decimal place and commas
32
+ return f'{x/1e3:,.1f}K'
33
+ else:
34
+ # Format with one decimal place and commas for values less than 1000
35
+ return f'{x:,.1f}'
36
+
37
+ def format_axis(x):
38
+ if isinstance(x, tuple):
39
+ x = x[0] # Extract the numeric value from the tuple
40
+ if abs(x) >= 1e6:
41
+ return f'{x / 1e6:.0f}M'
42
+ elif abs(x) >= 1e3:
43
+ return f'{x / 1e3:.0f}k'
44
+ else:
45
+ return f'{x:.0f}'
46
+
47
+
48
+ attributred_app_installs=pd.read_csv("attributed_app_installs.csv")
49
+ attributred_app_installs_tactic=pd.read_excel('attributed_app_installs_tactic.xlsx')
50
+ data=pd.read_excel('Channel_wise_imp_click_spends.xlsx')
51
+ data['Date']=pd.to_datetime(data['Date'])
52
+ st.header('Saturation Curves')
53
+
54
+ # st.dataframe(data.head(2))
55
+ st.markdown('Data QC')
56
+
57
+ st.markdown('Channel wise summary')
58
+ summary_df=data.groupby(data['Date'].dt.strftime('%B %Y')).sum()
59
+ summary_df=summary_df.sort_index(key=lambda x: pd.to_datetime(x, format='%B %Y'))
60
+ st.dataframe(summary_df.applymap(format_numbers))
61
+
62
+
63
+
64
+ def line_plot_target(df,target,title):
65
+ df=df
66
+ df['Date_unix'] = df['Date'].apply(lambda x: x.timestamp())
67
+
68
+ # Perform polynomial fitting
69
+ coefficients = np.polyfit(df['Date_unix'], df[target], 1)
70
+ # st.dataframe(df)
71
+ coefficients = np.polyfit(df['Date'].view('int64'), df[target], 1)
72
+ trendline = np.poly1d(coefficients)
73
+ fig = go.Figure()
74
+
75
+ fig.add_trace(go.Scatter(x=df['Date'], y=df[target], mode='lines', name=target,line=dict(color='#11B6BD')))
76
+ trendline_x = df['Date']
77
+ trendline_y = trendline(df['Date'].view('int64'))
78
+
79
+
80
+ fig.add_trace(go.Scatter(x=trendline_x, y=trendline_y, mode='lines', name='Trendline', line=dict(color='#739FAE')))
81
+
82
+ fig.update_layout(
83
+ title=title,
84
+ xaxis=dict(type='date')
85
+ )
86
+
87
+ for year in df['Date'].dt.year.unique()[1:]:
88
+
89
+ january_1 = pd.Timestamp(year=year, month=1, day=1)
90
+ fig.add_shape(
91
+ go.layout.Shape(
92
+ type="line",
93
+ x0=january_1,
94
+ x1=january_1,
95
+ y0=0,
96
+ y1=1,
97
+ xref="x",
98
+ yref="paper",
99
+ line=dict(color="grey", width=1.5, dash="dash"),
100
+ )
101
+ )
102
+
103
+ return fig
104
+ channels_d= data.columns[:28]
105
+ channels=list(set([col.replace('_impressions','').replace('_clicks','').replace('_spend','') for col in channels_d if col.lower()!='date']))
106
+ channel= st.selectbox('Select Channel_name',channels)
107
+ target_column = st.selectbox('Select Channel)',[col for col in data.columns if col.startswith(channel)])
108
+ fig=line_plot_target(data, target=str(target_column), title=f'{str(target_column)} Over Time')
109
+ st.plotly_chart(fig, use_container_width=True)
110
+
111
+ # st.markdown('## Saturation Curve')
112
+
113
+
114
+ st.header('Build saturation curve')
115
+
116
+ # Your data
117
+ # st.write(len(attributred_app_installs))
118
+ # st.write(len(data))
119
+ # col=st.columns(3)
120
+ # with col[0]:
121
+ col=st.columns(2)
122
+ with col[0]:
123
+ if st.checkbox('Cap Outliers'):
124
+ x = data[target_column]
125
+ x.index=data['Date']
126
+ # st.write(x)
127
+ result = sm.tsa.seasonal_decompose(x, model='additive')
128
+ x_resid=result.resid
129
+ # fig = make_subplots(rows=1, cols=1, shared_xaxes=True, vertical_spacing=0.02)
130
+ # trace_x = go.Scatter(x=data['Date'], y=x, mode='lines', name='x')
131
+ # fig.add_trace(trace_x)
132
+ # trace_x_resid = go.Scatter(x=data['Date'], y=x_resid, mode='lines', name='x_resid', yaxis='y2',line=dict(color='orange'))
133
+
134
+ # fig.add_trace(trace_x_resid)
135
+ # fig.update_layout(title='',
136
+ # xaxis=dict(title='Date'),
137
+ # yaxis=dict(title='x', side='left'),
138
+ # yaxis2=dict(title='x_resid', side='right'))
139
+ # st.title('')
140
+ # st.plotly_chart(fig)
141
+
142
+ # x=result.resid
143
+ # x=x.fillna(0)
144
+ x_mean = np.mean(x)
145
+ x_std = np.std(x)
146
+ x_scaled = (x - x_mean) / x_std
147
+ lower_threshold = -2.0
148
+ upper_threshold = 2.0
149
+ x_scaled = np.clip(x_scaled, lower_threshold, upper_threshold)
150
+ else:
151
+ x = data[target_column]
152
+ x_mean = np.mean(x)
153
+ x_std = np.std(x)
154
+ x_scaled = (x - x_mean) / x_std
155
+ with col[1]:
156
+ if st.checkbox('Attributed'):
157
+ column=[col for col in attributred_app_installs.columns if col in target_column]
158
+ data['app_installs_appsflyer']=attributred_app_installs[column]
159
+ y=data['app_installs_appsflyer']
160
+ title='Attributed-App_installs_appsflyer'
161
+ # st.dataframe(y)
162
+ # st.dataframe(x)
163
+ # st.dataframe(x_scaled)
164
+ else:
165
+ y=data["app_installs_appsflyer"]
166
+ title='App_installs_appsflyer'
167
+ # st.write(len(y))
168
+ # Curve fitting function
169
+ def sigmoid(x, K, a, x0):
170
+ return K / (1 + np.exp(-a * (x - x0)))
171
+
172
+ initial_K = np.max(y)
173
+ initial_a = 1
174
+ initial_x0 = 0
175
+ columns=st.columns(3)
176
+
177
+
178
+ with columns[0]:
179
+ K = st.number_input('K (Amplitude)', min_value=0.01, max_value=2.0 * np.max(y), value=float(initial_K), step=5.0)
180
+ with columns[1]:
181
+ a = st.number_input('a (Slope)', min_value=0.01, max_value=5.0, value=float(initial_a), step=0.5)
182
+ with columns[2]:
183
+ x0 = st.number_input('x0 (Center)', min_value=float(min(x_scaled)), max_value=float(max(x_scaled)), value=float(initial_x0), step=2.0)
184
+ params, _ = curve_fit(sigmoid, x_scaled, y, p0=[K, a, x0], maxfev=20000)
185
+
186
+
187
+ x_slider = st.slider('X Value', min_value=float(min(x)), max_value=float(max(x))+1, value=float(x_mean), step=1.)
188
+
189
+ # Calculate the corresponding value on the fitted curve
190
+ x_slider_scaled = (x_slider - x_mean) / x_std
191
+ y_slider_fit = sigmoid(x_slider_scaled, *params)
192
+
193
+ # Display the corresponding value
194
+ st.write(f'{target_column}: {format_numbers(x_slider)}')
195
+ st.write(f'Corresponding App_installs: {format_numbers(y_slider_fit)}')
196
+
197
+ # Scatter plot of your data
198
+ fig = px.scatter(data_frame=data, x=x_scaled, y=y, labels={'x': f'{target_column}', 'y': 'App Installs'}, title=title)
199
+
200
+ # Add the fitted sigmoid curve to the plot
201
+ x_fit = np.linspace(min(x_scaled), max(x_scaled), 100) # Generate x values for the curve
202
+ y_fit = sigmoid(x_fit, *params)
203
+ fig.add_trace(px.line(x=x_fit, y=y_fit).data[0])
204
+ fig.data[1].update(line=dict(color='orange'))
205
+ fig.add_vline(x=x_slider_scaled, line_dash='dash', line_color='red', annotation_text=f'{format_numbers(x_slider)}')
206
+
207
+ x_tick_labels = {format_axis(x_scaled[i]): format_axis(x[i]) for i in range(len(x_scaled))}
208
+ num_points = 30 # Number of points you want to select
209
+ keys = list(x_tick_labels.keys())
210
+ values = list(x_tick_labels.values())
211
+ spacing = len(keys) // num_points # Calculate the spacing
212
+ if spacing==0:
213
+ spacing=15
214
+ selected_keys = keys[::spacing]
215
+ selected_values = values[::spacing]
216
+ else:
217
+ selected_keys = keys[::spacing]
218
+ selected_values = values[::spacing]
219
+
220
+ # Update the x-axis ticks with the selected keys and values
221
+ fig.update_xaxes(tickvals=selected_keys, ticktext=selected_values)
222
+ fig.update_xaxes(tickvals=list(x_tick_labels.keys()), ticktext=list(x_tick_labels.values()))
223
+ # Show the plot using st.plotly_chart
224
+
225
+ fig.update_xaxes(showgrid=False)
226
+ fig.update_yaxes(showgrid=False)
227
+ fig.update_layout(
228
+ width=600, # Adjust the width as needed
229
+ height=600 # Adjust the height as needed
230
+ )
231
+ st.plotly_chart(fig)
232
+
233
+
234
+
235
+
236
+ st.markdown('Tactic level')
237
+ if channel=='paid_social':
238
+
239
+ tactic_data=pd.read_excel("Tatcic_paid.xlsx",sheet_name='paid_social_impressions')
240
+ else:
241
+ tactic_data=pd.read_excel("Tatcic_paid.xlsx",sheet_name='digital_app_display_impressions')
242
+ target_column = st.selectbox('Select Channel)',[col for col in tactic_data.columns if col!='Date' and col!='app_installs_appsflyer'])
243
+ fig=line_plot_target(tactic_data, target=str(target_column), title=f'{str(target_column)} Over Time')
244
+ st.plotly_chart(fig, use_container_width=True)
245
+
246
+ if st.checkbox('Cap Outliers',key='tactic1'):
247
+ x = tactic_data[target_column]
248
+ x_mean = np.mean(x)
249
+ x_std = np.std(x)
250
+ x_scaled = (x - x_mean) / x_std
251
+ lower_threshold = -2.0
252
+ upper_threshold = 2.0
253
+ x_scaled = np.clip(x_scaled, lower_threshold, upper_threshold)
254
+ else:
255
+ x = tactic_data[target_column]
256
+ x_mean = np.mean(x)
257
+ x_std = np.std(x)
258
+ x_scaled = (x - x_mean) / x_std
259
+
260
+ if st.checkbox('Attributed',key='tactic2'):
261
+ column=[col for col in attributred_app_installs_tactic.columns if col in target_column]
262
+ tactic_data['app_installs_appsflyer']=attributred_app_installs_tactic[column]
263
+ y=tactic_data['app_installs_appsflyer']
264
+ title='Attributed-App_installs_appsflyer'
265
+ # st.dataframe(y)
266
+ # st.dataframe(x)
267
+ # st.dataframe(x_scaled)
268
+ else:
269
+ y=data["app_installs_appsflyer"]
270
+ title='App_installs_appsflyer'
271
+ # st.write(len(y))
272
+ # Curve fitting function
273
+ def sigmoid(x, K, a, x0):
274
+ return K / (1 + np.exp(-a * (x - x0)))
275
+
276
+ # Curve fitting
277
+ # st.dataframe(x_scaled.head(3))
278
+ # # y=y.astype(float)
279
+ # st.dataframe(y.head(3))
280
+ initial_K = np.max(y)
281
+ initial_a = 1
282
+ initial_x0 = 0
283
+ K = st.number_input('K (Amplitude)', min_value=0.01, max_value=2.0 * np.max(y), value=float(initial_K), step=5.0,key='tactic3')
284
+ a = st.number_input('a (Slope)', min_value=0.01, max_value=5.0, value=float(initial_a), step=2.0,key='tactic41')
285
+ x0 = st.number_input('x0 (Center)', min_value=float(min(x_scaled)), max_value=float(max(x_scaled)), value=float(initial_x0), step=2.0,key='tactic4')
286
+ params, _ = curve_fit(sigmoid, x_scaled, y, p0=[K, a, x0], maxfev=20000)
287
+
288
+ # Slider to vary x
289
+ x_slider = st.slider('X Value', min_value=float(min(x)), max_value=float(max(x)), value=float(x_mean), step=1.,key='tactic7')
290
+
291
+ # Calculate the corresponding value on the fitted curve
292
+ x_slider_scaled = (x_slider - x_mean) / x_std
293
+ y_slider_fit = sigmoid(x_slider_scaled, *params)
294
+
295
+ # Display the corresponding value
296
+ st.write(f'{target_column}: {format_axis(x_slider)}')
297
+ st.write(f'Corresponding App_installs: {format_axis(y_slider_fit)}')
298
+
299
+ # Scatter plot of your data
300
+ fig = px.scatter(data_frame=data, x=x_scaled, y=y, labels={'x': f'{target_column}', 'y': 'App Installs'}, title=title)
301
+
302
+ # Add the fitted sigmoid curve to the plot
303
+ x_fit = np.linspace(min(x_scaled), max(x_scaled), 100) # Generate x values for the curve
304
+ y_fit = sigmoid(x_fit, *params)
305
+ fig.add_trace(px.line(x=x_fit, y=y_fit).data[0])
306
+ fig.data[1].update(line=dict(color='orange'))
307
+ fig.add_vline(x=x_slider_scaled, line_dash='dash', line_color='red', annotation_text=f'{format_numbers(x_slider)}')
308
+
309
+
310
+
311
+ x_tick_labels = {format_axis((x_scaled[i],0)): format_axis(x[i]) for i in range(len(x_scaled))}
312
+ num_points = 50 # Number of points you want to select
313
+ keys = list(x_tick_labels.keys())
314
+ values = list(x_tick_labels.values())
315
+ spacing = len(keys) // num_points # Calculate the spacing
316
+ if spacing==0:
317
+ spacing=2
318
+ selected_keys = keys[::spacing]
319
+ selected_values = values[::spacing]
320
+ else:
321
+ selected_keys = keys[::spacing]
322
+ selected_values = values[::spacing]
323
+
324
+ # Update the x-axis ticks with the selected keys and values
325
+ fig.update_xaxes(tickvals=selected_keys, ticktext=selected_values)
326
+
327
+ # Round the x-axis and y-axis tick values to zero decimal places
328
+ fig.update_xaxes(tickformat=".f") # Format x-axis ticks to zero decimal places
329
+ fig.update_yaxes(tickformat=".f") # Format y-axis ticks to zero decimal places
330
+
331
+ # Show the plot using st.plotly_chart
332
+ fig.update_xaxes(showgrid=False)
333
+ fig.update_yaxes(showgrid=False)
334
+ fig.update_layout(
335
+ width=600, # Adjust the width as needed
336
+ height=600 # Adjust the height as needed
337
+ )
338
+ st.plotly_chart(fig)
Test/X_test_tuned_trend.csv ADDED
@@ -0,0 +1,971 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ paid_search_clicks,kwai_clicks,fb_level_achieved_tier_2_clicks_lag_2,fb_level_achieved_tier_1_impressions,ga_app_clicks,digital_tactic_others_impressions_lag_2,programmatic_clicks_lag_3,total_approved_accounts_revenue,date,dma,Trend
2
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06194251734390485,31.746,8/7/2023,Albany/Schenectady/Troy SMM Food,124
3
+ 0.0,0.0010625686993517797,0.0,0.0,0.005135905343058742,0.0,0.0,30.66,8/8/2022,Albany/Schenectady/Troy SMM Food,125
4
+ 0.0,0.0,0.0,0.0,0.0019373305473274695,0.0,0.0,31.61,8/9/2021,Albany/Schenectady/Troy SMM Food,126
5
+ 0.0,0.0,0.006928265811381233,0.0,0.0,0.04710893906935569,0.062438057482656094,31.871,9/11/2023,Albany/Schenectady/Troy SMM Food,127
6
+ 0.0,0.0,0.0,0.013920804779456755,0.0,0.0,0.0,34.48,9/12/2022,Albany/Schenectady/Troy SMM Food,128
7
+ 0.0,0.0,0.0,0.0,0.0014406267064896794,0.0,0.0,34.3,9/13/2021,Albany/Schenectady/Troy SMM Food,129
8
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06442021803766104,38.922,9/18/2023,Albany/Schenectady/Troy SMM Food,130
9
+ 0.0,0.0,0.0,0.014511012797352662,0.0,0.0,0.0,34.78,9/19/2022,Albany/Schenectady/Troy SMM Food,131
10
+ 0.0,0.0,0.0,0.0,0.0010515523405034157,0.0,0.0,34.23,9/20/2021,Albany/Schenectady/Troy SMM Food,132
11
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06838453914767095,36.091,9/25/2023,Albany/Schenectady/Troy SMM Food,133
12
+ 0.0,0.0,0.0,0.016489078958499923,0.0,0.0,0.0,34.21,9/26/2022,Albany/Schenectady/Troy SMM Food,134
13
+ 0.0,0.0,0.0,0.0,0.0011647488571576068,0.0,0.0,33.64,9/27/2021,Albany/Schenectady/Troy SMM Food,135
14
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06045589692765114,31.809,9/4/2023,Albany/Schenectady/Troy SMM Food,136
15
+ 0.0,0.0,0.0,0.014564429905722917,0.0,0.0,0.0,30.83,9/5/2022,Albany/Schenectady/Troy SMM Food,137
16
+ 0.0,0.0,0.0,0.0,0.0016552670959924358,0.0,0.0,32.16,9/6/2021,Albany/Schenectady/Troy SMM Food,138
17
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06293359762140734,19.524,8/7/2023,Albuquerque/Santa FE SMM Food,124
18
+ 0.0,0.0011847395500790977,0.0,0.0,0.005197761363088355,0.0,0.0,17.41,8/8/2022,Albuquerque/Santa FE SMM Food,125
19
+ 0.0,0.0,0.0,0.0,0.0011734086999617528,0.0,0.0,20.25,8/9/2021,Albuquerque/Santa FE SMM Food,126
20
+ 0.0,0.0,0.006270420242227,0.0,0.0,0.05228225082270357,0.06045589692765114,20.598,9/11/2023,Albuquerque/Santa FE SMM Food,127
21
+ 0.0,0.0,0.0,0.013504398628886482,0.0,0.0,0.0,18.96,9/12/2022,Albuquerque/Santa FE SMM Food,128
22
+ 0.0,0.0,0.0,0.0,0.0015389777783367637,0.0,0.0,22.17,9/13/2021,Albuquerque/Santa FE SMM Food,129
23
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05252725470763132,20.817,9/18/2023,Albuquerque/Santa FE SMM Food,130
24
+ 0.0,0.0,0.0,0.014076952049886973,0.0,0.0,0.0,19.46,9/19/2022,Albuquerque/Santa FE SMM Food,131
25
+ 0.0,0.0,0.0,0.0,0.0015210395325281761,0.0,0.0,21.48,9/20/2021,Albuquerque/Santa FE SMM Food,132
26
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.051040634291377604,19.984,9/25/2023,Albuquerque/Santa FE SMM Food,133
27
+ 0.0,0.0,0.0,0.015995849296932277,0.0,0.0,0.0,21.41,9/26/2022,Albuquerque/Santa FE SMM Food,134
28
+ 0.0,0.0,0.0,0.0,0.0009569126298581084,0.0,0.0,20.66,9/27/2021,Albuquerque/Santa FE SMM Food,135
29
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05153617443012884,19.474,9/4/2023,Albuquerque/Santa FE SMM Food,136
30
+ 0.0,0.0,0.0,0.014128771317940983,0.0,0.0,0.0,18.86,9/5/2022,Albuquerque/Santa FE SMM Food,137
31
+ 0.0,0.0,0.0,0.0,0.0009513455880554432,0.0,0.0,22.19,9/6/2021,Albuquerque/Santa FE SMM Food,138
32
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.211595639246779,261.197,8/7/2023,Atlanta SMM Food,124
33
+ 0.0,0.008222704775902465,0.0,0.0,0.020853520032583325,0.0,0.0,156.16,8/8/2022,Atlanta SMM Food,125
34
+ 0.0,0.0,0.0,0.0,0.004707243124253526,0.0,0.0,101.3,8/9/2021,Atlanta SMM Food,126
35
+ 0.0,0.0,0.07059033189111122,0.0,0.0,0.25431693894538904,0.1952428146679881,140.383,9/11/2023,Atlanta SMM Food,127
36
+ 0.0,0.0,0.0,0.05367166201076247,0.0,0.0,0.0,112.47,9/12/2022,Atlanta SMM Food,128
37
+ 0.0,0.0,0.0,0.0,0.0042668282616426835,0.0,0.0,110.36,9/13/2021,Atlanta SMM Food,129
38
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.20069375619425173,132.639,9/18/2023,Atlanta SMM Food,130
39
+ 0.0,0.0,0.0,0.05594720898632875,0.0,0.0,0.0,106.1,9/19/2022,Atlanta SMM Food,131
40
+ 0.0,0.0,0.0,0.0,0.004526623545767057,0.0,0.0,122.59,9/20/2021,Atlanta SMM Food,132
41
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17195242814667988,131.807,9/25/2023,Atlanta SMM Food,133
42
+ 0.0,0.0,0.0,0.06357364295489033,0.0,0.0,0.0,117.87,9/26/2022,Atlanta SMM Food,134
43
+ 0.0,0.0,0.0,0.0,0.0025589835486250767,0.0,0.0,116.38,9/27/2021,Atlanta SMM Food,135
44
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.19127849355797819,138.316,9/4/2023,Atlanta SMM Food,136
45
+ 0.0,0.0,0.0,0.05615315864933586,0.0,0.0,0.0,101.43,9/5/2022,Atlanta SMM Food,137
46
+ 0.0,0.0,0.0,0.0,0.005283741230929517,0.0,0.0,109.49,9/6/2021,Atlanta SMM Food,138
47
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08969276511397423,50.534,8/7/2023,Baltimore SMM Food,124
48
+ 0.0,0.003010948271471134,0.0,0.0,0.010581709346465842,0.0,0.0,54.66,8/8/2022,Baltimore SMM Food,125
49
+ 0.0,0.0,0.0,0.0,0.002178569025442959,0.0,0.0,54.51,8/9/2021,Baltimore SMM Food,126
50
+ 0.0,0.0,0.013868768647461295,0.0,0.0,0.09580695439115328,0.06987115956392467,63.01,9/11/2023,Baltimore SMM Food,127
51
+ 0.0,0.0,0.0,0.02379803605790658,0.0,0.0,0.0,58.19,9/12/2022,Baltimore SMM Food,128
52
+ 0.0,0.0,0.0,0.0,0.002276920097290043,0.0,0.0,61.67,9/13/2021,Baltimore SMM Food,129
53
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06442021803766104,72.253,9/18/2023,Baltimore SMM Food,130
54
+ 0.0,0.0,0.0,0.024807014486139218,0.0,0.0,0.0,60.84,9/19/2022,Baltimore SMM Food,131
55
+ 0.0,0.0,0.0,0.0,0.001681865184605169,0.0,0.0,56.75,9/20/2021,Baltimore SMM Food,132
56
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07383548067393458,74.369,9/25/2023,Baltimore SMM Food,133
57
+ 0.0,0.0,0.0,0.028188578310361815,0.0,0.0,0.0,63.62,9/26/2022,Baltimore SMM Food,134
58
+ 0.0,0.0,0.0,0.0,0.0016020709187669687,0.0,0.0,55.3,9/27/2021,Baltimore SMM Food,135
59
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07433102081268583,56.708,9/4/2023,Baltimore SMM Food,136
60
+ 0.0,0.0,0.0,0.024898332642610616,0.0,0.0,0.0,57.06,9/5/2022,Baltimore SMM Food,137
61
+ 0.0,0.0,0.0,0.0,0.0019039282965114788,0.0,0.0,64.56,9/6/2021,Baltimore SMM Food,138
62
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.028245787908820614,2.491,8/7/2023,Baton Rouge SMM Food,124
63
+ 0.0,0.0005060126015939978,0.0,0.0,0.0027847580217331635,0.0,0.0,2.29,8/8/2022,Baton Rouge SMM Food,125
64
+ 0.0,0.0,0.0,0.0,0.0007769116115719355,0.0,0.0,2.82,8/9/2021,Baton Rouge SMM Food,126
65
+ 0.0,0.0,0.0026347580075683306,0.0,0.0,0.0372315586355452,0.019821605550049554,3.282,9/11/2023,Baton Rouge SMM Food,127
66
+ 0.0,0.0,0.0,0.009473010003288533,0.0,0.0,0.0,2.93,9/12/2022,Baton Rouge SMM Food,128
67
+ 0.0,0.0,0.0,0.0,0.000550518578263553,0.0,0.0,6.28,9/13/2021,Baton Rouge SMM Food,129
68
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.027254707631318136,3.751,9/18/2023,Baton Rouge SMM Food,130
69
+ 0.0,0.0,0.0,0.009874642417058198,0.0,0.0,0.0,1.6,9/19/2022,Baton Rouge SMM Food,131
70
+ 0.0,0.0,0.0,0.0,0.0007249525547470607,0.0,0.0,3.84,9/20/2021,Baton Rouge SMM Food,132
71
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.020317145688800792,2.883,9/25/2023,Baton Rouge SMM Food,133
72
+ 0.0,0.0,0.0,0.01122070256617374,0.0,0.0,0.0,1.98,9/26/2022,Baton Rouge SMM Food,134
73
+ 0.0,0.0,0.0,0.0,0.0005325803324549652,0.0,0.0,2.19,9/27/2021,Baton Rouge SMM Food,135
74
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.02081268582755203,5.023,9/4/2023,Baton Rouge SMM Food,136
75
+ 0.0,0.0,0.0,0.009910992383390915,0.0,0.0,0.0,3.56,9/5/2022,Baton Rouge SMM Food,137
76
+ 0.0,0.0,0.0,0.0,0.000716911272143211,0.0,0.0,2.76,9/6/2021,Baton Rouge SMM Food,138
77
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07086223984142716,30.899,8/7/2023,Birmingham/Anniston/Tuscaloosa SMM Food,124
78
+ 0.0,0.0015968856587974965,0.0,0.0,0.006559212363940131,0.0,0.0,21.32,8/8/2022,Birmingham/Anniston/Tuscaloosa SMM Food,125
79
+ 0.0,0.0,0.0,0.0,0.002610324045249656,0.0,0.0,12.39,8/9/2021,Birmingham/Anniston/Tuscaloosa SMM Food,126
80
+ 0.0,0.0,0.011830671085553057,0.0,0.0,0.06832539296539691,0.05302279484638256,11.227,9/11/2023,Birmingham/Anniston/Tuscaloosa SMM Food,127
81
+ 0.0,0.0,0.0,0.020386457479869002,0.0,0.0,0.0,11.48,9/12/2022,Birmingham/Anniston/Tuscaloosa SMM Food,128
82
+ 0.0,0.0,0.0,0.0,0.0017505253668380393,0.0,0.0,12.29,9/13/2021,Birmingham/Anniston/Tuscaloosa SMM Food,129
83
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06095143706640238,11.018,9/18/2023,Birmingham/Anniston/Tuscaloosa SMM Food,130
84
+ 0.0,0.0,0.0,0.021250793330832705,0.0,0.0,0.0,9.71,9/19/2022,Birmingham/Anniston/Tuscaloosa SMM Food,131
85
+ 0.0,0.0,0.0,0.0,0.002048671383380772,0.0,0.0,12.55,9/20/2021,Birmingham/Anniston/Tuscaloosa SMM Food,132
86
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.055996035678889985,9.499,9/25/2023,Birmingham/Anniston/Tuscaloosa SMM Food,133
87
+ 0.0,0.0,0.0,0.02414759149407838,0.0,0.0,0.0,9.26,9/26/2022,Birmingham/Anniston/Tuscaloosa SMM Food,134
88
+ 0.0,0.0,0.0,0.0,0.001227223437387516,0.0,0.0,11.65,9/27/2021,Birmingham/Anniston/Tuscaloosa SMM Food,135
89
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.051040634291377604,14.16,9/4/2023,Birmingham/Anniston/Tuscaloosa SMM Food,136
90
+ 0.0,0.0,0.0,0.021329020533966504,0.0,0.0,0.0,13.7,9/5/2022,Birmingham/Anniston/Tuscaloosa SMM Food,137
91
+ 0.0,0.0,0.0,0.0,0.001038562576297197,0.0,0.0,12.02,9/6/2021,Birmingham/Anniston/Tuscaloosa SMM Food,138
92
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.20416253716551042,142.058,8/7/2023,Boston/Manchester SMM Food,124
93
+ 0.0,0.006427977432121013,0.0,0.0,0.02215311501340549,0.0,0.0,133.68,8/8/2022,Boston/Manchester SMM Food,125
94
+ 0.0,0.0,0.0,0.0,0.006543129798732431,0.0,0.0,118.91,8/9/2021,Boston/Manchester SMM Food,126
95
+ 0.0,0.0,0.04895274042536989,0.0,0.0,0.16361847104901653,0.1798810703666997,172.275,9/11/2023,Boston/Manchester SMM Food,127
96
+ 0.0,0.0,0.0,0.06149452980004475,0.0,0.0,0.0,167.04,9/12/2022,Boston/Manchester SMM Food,128
97
+ 0.0,0.0,0.0,0.0,0.0038660012518507932,0.0,0.0,117.31,9/13/2021,Boston/Manchester SMM Food,129
98
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.19425173439048563,178.545,9/18/2023,Boston/Manchester SMM Food,130
99
+ 0.0,0.0,0.0,0.06410174720660182,0.0,0.0,0.0,145.96,9/19/2022,Boston/Manchester SMM Food,131
100
+ 0.0,0.0,0.0,0.0,0.0032907402655753953,0.0,0.0,113.79,9/20/2021,Boston/Manchester SMM Food,132
101
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.22398414271555994,156.549,9/25/2023,Boston/Manchester SMM Food,133
102
+ 0.0,0.0,0.0,0.07283976560910188,0.0,0.0,0.0,157.5,9/26/2022,Boston/Manchester SMM Food,134
103
+ 0.0,0.0,0.0,0.0,0.0044307467147211566,0.0,0.0,114.52,9/27/2021,Boston/Manchester SMM Food,135
104
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.19573835480673935,149.121,9/4/2023,Boston/Manchester SMM Food,136
105
+ 0.0,0.0,0.0,0.06433771488842611,0.0,0.0,0.0,138.78,9/5/2022,Boston/Manchester SMM Food,137
106
+ 0.0,0.0,0.0,0.0,0.004624356057413845,0.0,0.0,116.39,9/6/2021,Boston/Manchester SMM Food,138
107
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07036669970267592,21.059,8/7/2023,Buffalo SMM Food,124
108
+ 0.0,0.001065745719110646,0.0,0.0,0.006125601663532545,0.0,0.0,14.52,8/8/2022,Buffalo SMM Food,125
109
+ 0.0,0.0,0.0,0.0,0.002417333262757264,0.0,0.0,16.9,8/9/2021,Buffalo SMM Food,126
110
+ 0.0,0.0,0.007447706411528032,0.0,0.0,0.05334496751978329,0.06987115956392467,21.384,9/11/2023,Buffalo SMM Food,127
111
+ 0.0,0.0,0.0,0.016659126610822184,0.0,0.0,0.0,16.16,9/12/2022,Buffalo SMM Food,128
112
+ 0.0,0.0,0.0,0.0,0.0018525877998869001,0.0,0.0,17.94,9/13/2021,Buffalo SMM Food,129
113
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07333994053518335,19.469,9/18/2023,Buffalo SMM Food,130
114
+ 0.0,0.0,0.0,0.017365432764953035,0.0,0.0,0.0,15.79,9/19/2022,Buffalo SMM Food,131
115
+ 0.0,0.0,0.0,0.0,0.0014635134339006364,0.0,0.0,13.96,9/20/2021,Buffalo SMM Food,132
116
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07284440039643211,19.007,9/25/2023,Buffalo SMM Food,133
117
+ 0.0,0.0,0.0,0.019732598682000637,0.0,0.0,0.0,17.25,9/26/2022,Buffalo SMM Food,134
118
+ 0.0,0.0,0.0,0.0,0.0011474291715493155,0.0,0.0,16.09,9/27/2021,Buffalo SMM Food,135
119
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05698711595639247,24.686,9/4/2023,Buffalo SMM Food,136
120
+ 0.0,0.0,0.0,0.01742935740030342,0.0,0.0,0.0,24.05,9/5/2022,Buffalo SMM Food,137
121
+ 0.0,0.0,0.0,0.0,0.002140218293024599,0.0,0.0,18.49,9/6/2021,Buffalo SMM Food,138
122
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11248761149653122,91.731,8/7/2023,Charlotte SMM Food,124
123
+ 0.0,0.00275216557111256,0.0,0.0,0.01447925716853174,0.0,0.0,105.22,8/8/2022,Charlotte SMM Food,125
124
+ 0.0,0.0,0.0,0.0,0.00312867749309781,0.0,0.0,68.53,8/9/2021,Charlotte SMM Food,126
125
+ 0.0,0.0,0.019428597524418424,0.0,0.0,0.14467607804531682,0.10257680872150644,109.118,9/11/2023,Charlotte SMM Food,127
126
+ 0.0,0.0,0.0,0.0334917711067763,0.0,0.0,0.0,90.2,9/12/2022,Charlotte SMM Food,128
127
+ 0.0,0.0,0.0,0.0,0.0033154826735872405,0.0,0.0,71.22,9/13/2021,Charlotte SMM Food,129
128
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09712586719524281,95.013,9/18/2023,Charlotte SMM Food,130
129
+ 0.0,0.0,0.0,0.03491174014852976,0.0,0.0,0.0,80.4,9/19/2022,Charlotte SMM Food,131
130
+ 0.0,0.0,0.0,0.0,0.0025410453028164894,0.0,0.0,67.35,9/20/2021,Charlotte SMM Food,132
131
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10009910802775024,115.348,9/25/2023,Charlotte SMM Food,133
132
+ 0.0,0.0,0.0,0.03967072787903239,0.0,0.0,0.0,69.61,9/26/2022,Charlotte SMM Food,134
133
+ 0.0,0.0,0.0,0.0,0.0018940313333067407,0.0,0.0,67.22,9/27/2021,Charlotte SMM Food,135
134
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09514370664023786,64.194,9/4/2023,Charlotte SMM Food,136
135
+ 0.0,0.0,0.0,0.035040255247413665,0.0,0.0,0.0,69.04,9/5/2022,Charlotte SMM Food,137
136
+ 0.0,0.0,0.0,0.0,0.0029257897474006802,0.0,0.0,95.05,9/6/2021,Charlotte SMM Food,138
137
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2259663032705649,127.164,8/7/2023,Chicago SMM Food,124
138
+ 0.0,0.021210939190104566,0.0,0.0,0.029393362157871656,0.0,0.0,128.34,8/8/2022,Chicago SMM Food,125
139
+ 0.0,0.0,0.0,0.0,0.007107256701402499,0.0,0.0,131.14,8/9/2021,Chicago SMM Food,126
140
+ 0.0,0.0,0.15988812078214787,0.0,0.0,0.2559436219550531,0.21110009910802774,139.546,9/11/2023,Chicago SMM Food,127
141
+ 0.0,0.0,0.0,0.07186262484115848,0.0,0.0,0.0,115.04,9/12/2022,Chicago SMM Food,128
142
+ 0.0,0.0,0.0,0.0,0.004144971902184347,0.0,0.0,126.47,9/13/2021,Chicago SMM Food,129
143
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2423191278493558,150.534,9/18/2023,Chicago SMM Food,130
144
+ 0.0,0.0,0.0,0.07490942409399909,0.0,0.0,0.0,112.06,9/19/2022,Chicago SMM Food,131
145
+ 0.0,0.0,0.0,0.0,0.004689304878444938,0.0,0.0,105.95,9/20/2021,Chicago SMM Food,132
146
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17443012884043607,140.18,9/25/2023,Chicago SMM Food,133
147
+ 0.0,0.0,0.0,0.0851206890876872,0.0,0.0,0.0,113.37,9/26/2022,Chicago SMM Food,134
148
+ 0.0,0.0,0.0,0.0,0.005144565185862888,0.0,0.0,112.47,9/27/2021,Chicago SMM Food,135
149
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17938553022794845,134.87,9/4/2023,Chicago SMM Food,136
150
+ 0.0,0.0,0.0,0.07518517635856978,0.0,0.0,0.0,128.32,9/5/2022,Chicago SMM Food,137
151
+ 0.0,0.0,0.0,0.0,0.005288071152331588,0.0,0.0,132.52,9/6/2021,Chicago SMM Food,138
152
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1442021803766105,72.288,8/7/2023,Cleveland/Akron/Canton SMM Food,124
153
+ 0.0,0.0,0.0,0.0,0.010643565366495456,0.0,0.0,88.44,8/8/2022,Cleveland/Akron/Canton SMM Food,125
154
+ 0.0,0.0,0.0,0.0,0.005229307933303457,0.0,0.0,81.13,8/9/2021,Cleveland/Akron/Canton SMM Food,126
155
+ 0.0,0.0,0.018360600644668993,0.0,0.0,0.003847068303229848,0.13082259663032705,77.361,9/11/2023,Cleveland/Akron/Canton SMM Food,127
156
+ 0.0,0.0,0.0,0.04319655098784653,0.0,0.0,0.0,83.99,9/12/2022,Cleveland/Akron/Canton SMM Food,128
157
+ 0.0,0.0,0.0,0.0,0.0038678569324516817,0.0,0.0,81.0,9/13/2021,Cleveland/Akron/Canton SMM Food,129
158
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1367690782953419,74.588,9/18/2023,Cleveland/Akron/Canton SMM Food,130
159
+ 0.0,0.0,0.0,0.045027978918762056,0.0,0.0,0.0,68.98,9/19/2022,Cleveland/Akron/Canton SMM Food,131
160
+ 0.0,0.0,0.0,0.0,0.004016929940723048,0.0,0.0,79.08,9/20/2021,Cleveland/Akron/Canton SMM Food,132
161
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1337958374628345,75.304,9/25/2023,Cleveland/Akron/Canton SMM Food,133
162
+ 0.0,0.0,0.0,0.05116595995981537,0.0,0.0,0.0,73.72,9/26/2022,Cleveland/Akron/Canton SMM Food,134
163
+ 0.0,0.0,0.0,0.0,0.003246203931154074,0.0,0.0,72.7,9/27/2021,Cleveland/Akron/Canton SMM Food,135
164
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.12983151635282458,85.988,9/4/2023,Cleveland/Akron/Canton SMM Food,136
165
+ 0.0,0.0,0.0,0.04519373333208909,0.0,0.0,0.0,95.79,9/5/2022,Cleveland/Akron/Canton SMM Food,137
166
+ 0.0,0.0,0.0,0.0,0.0032332141669478556,0.0,0.0,84.14,9/6/2021,Cleveland/Akron/Canton SMM Food,138
167
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10555004955401387,54.72,8/7/2023,Columbus OH SMM Food,124
168
+ 0.0,0.0016355875358600512,0.0,0.0,0.010457378746206322,0.0,0.0,58.12,8/8/2022,Columbus OH SMM Food,125
169
+ 0.0,0.0,0.0,0.0,0.003066821473068197,0.0,0.0,54.05,8/9/2021,Columbus OH SMM Food,126
170
+ 0.0,0.0,0.012976309777184706,0.0,0.0,0.09535695517348619,0.09563924677898909,56.575,9/11/2023,Columbus OH SMM Food,127
171
+ 0.0,0.0,0.0,0.026403905702080413,0.0,0.0,0.0,54.07,9/12/2022,Columbus OH SMM Food,128
172
+ 0.0,0.0,0.0,0.0,0.002041867221177515,0.0,0.0,53.22,9/13/2021,Columbus OH SMM Food,129
173
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0931615460852329,59.875,9/18/2023,Columbus OH SMM Food,130
174
+ 0.0,0.0,0.0,0.0275233666153899,0.0,0.0,0.0,51.71,9/19/2022,Columbus OH SMM Food,131
175
+ 0.0,0.0,0.0,0.0,0.0023913537343448264,0.0,0.0,47.83,9/20/2021,Columbus OH SMM Food,132
176
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0753221010901883,61.444,9/25/2023,Columbus OH SMM Food,133
177
+ 0.0,0.0,0.0,0.031275209501753144,0.0,0.0,0.0,56.01,9/26/2022,Columbus OH SMM Food,134
178
+ 0.0,0.0,0.0,0.0,0.0023177450705095877,0.0,0.0,51.58,9/27/2021,Columbus OH SMM Food,135
179
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0817641228939544,60.308,9/4/2023,Columbus OH SMM Food,136
180
+ 0.0,0.0,0.0,0.027624684053467907,0.0,0.0,0.0,61.28,9/5/2022,Columbus OH SMM Food,137
181
+ 0.0,0.0,0.0,0.0,0.0019162995005174012,0.0,0.0,56.04,9/6/2021,Columbus OH SMM Food,138
182
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.22150644202180375,73.064,8/7/2023,Dallas/Ft. Worth SMM Food,124
183
+ 0.0,0.007823266746219531,0.0,0.0,0.02227744561366501,0.0,0.0,55.67,8/8/2022,Dallas/Ft. Worth SMM Food,125
184
+ 0.0,0.0,0.0,0.0,0.00542044303519496,0.0,0.0,58.56,8/9/2021,Dallas/Ft. Worth SMM Food,126
185
+ 0.0,0.0,0.053580445593371474,0.0,0.0,0.2960835671223029,0.20366699702675917,82.586,9/11/2023,Dallas/Ft. Worth SMM Food,127
186
+ 0.0,0.0,0.0,0.055526458478242974,0.0,0.0,0.0,62.13,9/12/2022,Dallas/Ft. Worth SMM Food,128
187
+ 0.0,0.0,0.0,0.0,0.004551365953778902,0.0,0.0,54.28,9/13/2021,Dallas/Ft. Worth SMM Food,129
188
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.20862239841427155,77.309,9/18/2023,Dallas/Ft. Worth SMM Food,130
189
+ 0.0,0.0,0.0,0.05788064427948714,0.0,0.0,0.0,58.16,9/19/2022,Dallas/Ft. Worth SMM Food,131
190
+ 0.0,0.0,0.0,0.0,0.005119822777851043,0.0,0.0,55.82,9/20/2021,Dallas/Ft. Worth SMM Food,132
191
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.21258671952428146,75.709,9/25/2023,Dallas/Ft. Worth SMM Food,133
192
+ 0.0,0.0,0.0,0.06577063414997705,0.0,0.0,0.0,62.33,9/26/2022,Dallas/Ft. Worth SMM Food,134
193
+ 0.0,0.0,0.0,0.0,0.003531360183490589,0.0,0.0,56.4,9/27/2021,Dallas/Ft. Worth SMM Food,135
194
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1734390485629336,80.36,9/4/2023,Dallas/Ft. Worth SMM Food,136
195
+ 0.0,0.0,0.0,0.058093711196037776,0.0,0.0,0.0,60.65,9/5/2022,Dallas/Ft. Worth SMM Food,137
196
+ 0.0,0.0,0.0,0.0,0.004822913881708902,0.0,0.0,60.16,9/6/2021,Dallas/Ft. Worth SMM Food,138
197
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06095143706640238,19.057,8/7/2023,Des Moines/Ames SMM Food,124
198
+ 0.0,0.001062279879373701,0.0,0.0,0.002908470061792389,0.0,0.0,21.69,8/8/2022,Des Moines/Ames SMM Food,125
199
+ 0.0,0.0,0.0,0.0,0.0009030978924323453,0.0,0.0,15.48,8/9/2021,Des Moines/Ames SMM Food,126
200
+ 0.0,0.0,0.007034601336350359,0.0,0.0,0.038076904404842446,0.0639246778989098,17.536,9/11/2023,Des Moines/Ames SMM Food,127
201
+ 0.0,0.0,0.0,0.009818746375673355,0.0,0.0,0.0,19.26,9/12/2022,Des Moines/Ames SMM Food,128
202
+ 0.0,0.0,0.0,0.0,0.0007459836015571291,0.0,0.0,16.86,9/13/2021,Des Moines/Ames SMM Food,129
203
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05401387512388503,19.413,9/18/2023,Des Moines/Ames SMM Food,130
204
+ 0.0,0.0,0.0,0.010235037169468615,0.0,0.0,0.0,17.91,9/19/2022,Des Moines/Ames SMM Food,131
205
+ 0.0,0.0,0.0,0.0,0.0005560856200662181,0.0,0.0,16.58,9/20/2021,Des Moines/Ames SMM Food,132
206
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05797819623389494,20.201,9/25/2023,Des Moines/Ames SMM Food,133
207
+ 0.0,0.0,0.0,0.011630224459597573,0.0,0.0,0.0,17.11,9/26/2022,Des Moines/Ames SMM Food,134
208
+ 0.0,0.0,0.0,0.0,0.000921036138240933,0.0,0.0,12.87,9/27/2021,Des Moines/Ames SMM Food,135
209
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04707631318136769,20.614,9/4/2023,Des Moines/Ames SMM Food,136
210
+ 0.0,0.0,0.0,0.010272713801757724,0.0,0.0,0.0,19.45,9/5/2022,Des Moines/Ames SMM Food,137
211
+ 0.0,0.0,0.0,0.0,0.0008585615580110242,0.0,0.0,16.73,9/6/2021,Des Moines/Ames SMM Food,138
212
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14073339940535184,124.957,8/7/2023,Detroit SMM Food,124
213
+ 0.0,0.004029038694198784,0.0,0.0,0.01633679345002101,0.0,0.0,129.16,8/8/2022,Detroit SMM Food,125
214
+ 0.0,0.0,0.0,0.0,0.005138998144060223,0.0,0.0,98.0,8/9/2021,Detroit SMM Food,126
215
+ 0.0,0.0,0.027197842309067383,0.0,0.0,0.16679364832597332,0.1367690782953419,114.674,9/11/2023,Detroit SMM Food,127
216
+ 0.0,0.0,0.0,0.05264923653159416,0.0,0.0,0.0,99.78,9/12/2022,Detroit SMM Food,128
217
+ 0.0,0.0,0.0,0.0,0.003737959290389495,0.0,0.0,105.22,9/13/2021,Detroit SMM Food,129
218
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13478691774033696,132.01,9/18/2023,Detroit SMM Food,130
219
+ 0.0,0.0,0.0,0.05488143517450875,0.0,0.0,0.0,98.35,9/19/2022,Detroit SMM Food,131
220
+ 0.0,0.0,0.0,0.0,0.004616314774809995,0.0,0.0,76.97,9/20/2021,Detroit SMM Food,132
221
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.12041625371655104,134.155,9/25/2023,Detroit SMM Food,133
222
+ 0.0,0.0,0.0,0.062362588370685694,0.0,0.0,0.0,111.04,9/26/2022,Detroit SMM Food,134
223
+ 0.0,0.0,0.0,0.0,0.004344766846879995,0.0,0.0,88.84,9/27/2021,Detroit SMM Food,135
224
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11397423191278494,147.194,9/4/2023,Detroit SMM Food,136
225
+ 0.0,0.0,0.0,0.05508346156574187,0.0,0.0,0.0,125.93,9/5/2022,Detroit SMM Food,137
226
+ 0.0,0.0,0.0,0.0,0.00365569078375011,0.0,0.0,109.54,9/6/2021,Detroit SMM Food,138
227
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09365708622398414,71.874,8/7/2023,Grand Rapids SMM Food,124
228
+ 0.0,0.0,0.0,0.0,0.008291799484969583,0.0,0.0,89.36,8/8/2022,Grand Rapids SMM Food,125
229
+ 0.0,0.0,0.0,0.0,0.0016558856561927318,0.0,0.0,60.59,8/9/2021,Grand Rapids SMM Food,126
230
+ 0.0,0.0,0.010334378341344649,0.0,0.0,0.004593258733825526,0.06937561942517344,59.484,9/11/2023,Grand Rapids SMM Food,127
231
+ 0.0,0.0,0.0,0.022162738793584366,0.0,0.0,0.0,51.84,9/12/2022,Grand Rapids SMM Food,128
232
+ 0.0,0.0,0.0,0.0,0.0015989781177654881,0.0,0.0,62.76,9/13/2021,Grand Rapids SMM Food,129
233
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10852329038652131,84.959,9/18/2023,Grand Rapids SMM Food,130
234
+ 0.0,0.0,0.0,0.023102384621302353,0.0,0.0,0.0,53.77,9/19/2022,Grand Rapids SMM Food,131
235
+ 0.0,0.0,0.0,0.0,0.001827226831674759,0.0,0.0,45.22,9/20/2021,Grand Rapids SMM Food,132
236
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08572844400396432,79.122,9/25/2023,Grand Rapids SMM Food,133
237
+ 0.0,0.0,0.0,0.02625158212085696,0.0,0.0,0.0,53.48,9/26/2022,Grand Rapids SMM Food,134
238
+ 0.0,0.0,0.0,0.0,0.0012488730443978803,0.0,0.0,45.61,9/27/2021,Grand Rapids SMM Food,135
239
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06689791873141725,97.272,9/4/2023,Grand Rapids SMM Food,136
240
+ 0.0,0.0,0.0,0.023187427795256017,0.0,0.0,0.0,79.71,9/5/2022,Grand Rapids SMM Food,137
241
+ 0.0,0.0,0.0,0.0,0.001495678564316035,0.0,0.0,69.21,9/6/2021,Grand Rapids SMM Food,138
242
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05847373637264618,34.23,8/7/2023,Greensboro SMM Food,124
243
+ 0.0,0.0,0.0,0.0,0.008662935605147259,0.0,0.0,41.28,8/8/2022,Greensboro SMM Food,125
244
+ 0.0,0.0,0.0,0.0,0.002148878135828745,0.0,0.0,33.05,8/9/2021,Greensboro SMM Food,126
245
+ 0.0,0.0,0.0,0.0,0.0,0.004162733342605559,0.05302279484638256,40.267,9/11/2023,Greensboro SMM Food,127
246
+ 0.0,0.0,0.0,0.01938722492394592,0.0,0.0,0.0,38.46,9/12/2022,Greensboro SMM Food,128
247
+ 0.0,0.0,0.0,0.0,0.0019855782429505676,0.0,0.0,34.42,9/13/2021,Greensboro SMM Food,129
248
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.059960356788899896,39.972,9/18/2023,Greensboro SMM Food,130
249
+ 0.0,0.0,0.0,0.02020919576536063,0.0,0.0,0.0,37.05,9/19/2022,Greensboro SMM Food,131
250
+ 0.0,0.0,0.0,0.0,0.0019132066995159206,0.0,0.0,29.9,9/20/2021,Greensboro SMM Food,132
251
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05698711595639247,58.21,9/25/2023,Greensboro SMM Food,133
252
+ 0.0,0.0,0.0,0.022964008737958168,0.0,0.0,0.0,31.18,9/26/2022,Greensboro SMM Food,134
253
+ 0.0,0.0,0.0,0.0,0.0017647522514448503,0.0,0.0,32.39,9/27/2021,Greensboro SMM Food,135
254
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05004955401387512,28.032,9/4/2023,Greensboro SMM Food,136
255
+ 0.0,0.0,0.0,0.020283588694575232,0.0,0.0,0.0,31.02,9/5/2022,Greensboro SMM Food,137
256
+ 0.0,0.0,0.0,0.0,0.0016861951060072422,0.0,0.0,55.3,9/6/2021,Greensboro SMM Food,138
257
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08622398414271557,34.307,8/7/2023,Harrisburg/Lancaster SMM Food,124
258
+ 0.0,0.00118647246994757,0.0,0.0,0.010951608346242928,0.0,0.0,37.54,8/8/2022,Harrisburg/Lancaster SMM Food,125
259
+ 0.0,0.0,0.0,0.0,0.0027989849063399744,0.0,0.0,31.88,8/9/2021,Harrisburg/Lancaster SMM Food,126
260
+ 0.0,0.0,0.009303514502060626,0.0,0.0,0.05938927543516645,0.06838453914767095,47.335,9/11/2023,Harrisburg/Lancaster SMM Food,127
261
+ 0.0,0.0,0.0,0.01722270730805324,0.0,0.0,0.0,47.54,9/12/2022,Harrisburg/Lancaster SMM Food,128
262
+ 0.0,0.0,0.0,0.0,0.0017567109688410004,0.0,0.0,37.65,9/13/2021,Harrisburg/Lancaster SMM Food,129
263
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06838453914767095,47.204,9/18/2023,Harrisburg/Lancaster SMM Food,130
264
+ 0.0,0.0,0.0,0.017952907903006455,0.0,0.0,0.0,47.12,9/19/2022,Harrisburg/Lancaster SMM Food,131
265
+ 0.0,0.0,0.0,0.0,0.0023622814049309086,0.0,0.0,39.6,9/20/2021,Harrisburg/Lancaster SMM Food,132
266
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06689791873141725,42.773,9/25/2023,Harrisburg/Lancaster SMM Food,133
267
+ 0.0,0.0,0.0,0.02040015539180732,0.0,0.0,0.0,39.34,9/26/2022,Harrisburg/Lancaster SMM Food,134
268
+ 0.0,0.0,0.0,0.0,0.0015365035375355792,0.0,0.0,36.2,9/27/2021,Harrisburg/Lancaster SMM Food,135
269
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06987115956392467,49.172,9/4/2023,Harrisburg/Lancaster SMM Food,136
270
+ 0.0,0.0,0.0,0.018018995117875386,0.0,0.0,0.0,46.11,9/5/2022,Harrisburg/Lancaster SMM Food,137
271
+ 0.0,0.0,0.0,0.0,0.0018253711510738705,0.0,0.0,41.15,9/6/2021,Harrisburg/Lancaster SMM Food,138
272
+ 0.0,0.0018337180408220845,0.0,0.0,0.010148098646058258,0.0,0.0,57.79,8/8/2022,Hartford/New Haven SMM Food,125
273
+ 0.0,0.0,0.0,0.0,0.0037509490545957138,0.0,0.0,69.72,8/9/2021,Hartford/New Haven SMM Food,126
274
+ 0.0,0.0,0.014994996886122389,0.0,0.0,0.08363767112400147,0.0882061446977205,74.813,9/11/2023,Hartford/New Haven SMM Food,127
275
+ 0.0,0.0,0.0,0.025926611998646588,0.0,0.0,0.0,80.45,9/12/2022,Hartford/New Haven SMM Food,128
276
+ 0.0,0.0,0.0,0.0,0.0030495017874599055,0.0,0.0,68.05,9/13/2021,Hartford/New Haven SMM Food,129
277
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10059464816650149,103.87,9/18/2023,Hartford/New Haven SMM Food,130
278
+ 0.0,0.0,0.0,0.027025836833104906,0.0,0.0,0.0,76.63,9/19/2022,Hartford/New Haven SMM Food,131
279
+ 0.0,0.0,0.0,0.0,0.0023901166139442343,0.0,0.0,59.62,9/20/2021,Hartford/New Haven SMM Food,132
280
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08721506442021804,89.9,9/25/2023,Hartford/New Haven SMM Food,133
281
+ 0.0,0.0,0.0,0.030709859033967845,0.0,0.0,0.0,79.63,9/26/2022,Hartford/New Haven SMM Food,134
282
+ 0.0,0.0,0.0,0.0,0.0023709412477350544,0.0,0.0,64.74,9/27/2021,Hartford/New Haven SMM Food,135
283
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09910802775024777,67.473,9/4/2023,Hartford/New Haven SMM Food,136
284
+ 0.0,0.0,0.0,0.027125322790759788,0.0,0.0,0.0,68.92,9/5/2022,Hartford/New Haven SMM Food,137
285
+ 0.0,0.0,0.0,0.0,0.0025515608262215235,0.0,0.0,67.33,9/6/2021,Hartford/New Haven SMM Food,138
286
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1962338949454906,133.105,8/7/2023,Houston SMM Food,124
287
+ 0.0,0.0046540451267612325,0.0,0.0,0.022832912673530933,0.0,0.0,118.76,8/8/2022,Houston SMM Food,125
288
+ 0.0,0.0,0.0,0.0,0.005281885550328628,0.0,0.0,103.5,8/9/2021,Houston SMM Food,126
289
+ 0.0,0.0,0.01913533089801548,0.0,0.0,0.21760885851354209,0.1684836471754212,140.942,9/11/2023,Houston SMM Food,127
290
+ 0.0,0.0,0.0,0.04769953315392536,0.0,0.0,0.0,140.87,9/12/2022,Houston SMM Food,128
291
+ 0.0,0.0,0.0,0.0,0.004650335585826283,0.0,0.0,105.88,9/13/2021,Houston SMM Food,129
292
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1620416253716551,129.531,9/18/2023,Houston SMM Food,130
293
+ 0.0,0.0,0.0,0.049721876494397986,0.0,0.0,0.0,145.85,9/19/2022,Houston SMM Food,131
294
+ 0.0,0.0,0.0,0.0,0.003903114863868561,0.0,0.0,111.54,9/20/2021,Houston SMM Food,132
295
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.15510406342913777,135.992,9/25/2023,Houston SMM Food,133
296
+ 0.0,0.0,0.0,0.05649970535943224,0.0,0.0,0.0,150.89,9/26/2022,Houston SMM Food,134
297
+ 0.0,0.0,0.0,0.0,0.003332802359195532,0.0,0.0,100.18,9/27/2021,Houston SMM Food,135
298
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.15857284440039643,134.53,9/4/2023,Houston SMM Food,136
299
+ 0.0,0.0,0.0,0.04990490981700915,0.0,0.0,0.0,130.92,9/5/2022,Houston SMM Food,137
300
+ 0.0,0.0,0.0,0.0,0.0032511524127564434,0.0,0.0,108.11,9/6/2021,Houston SMM Food,138
301
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14172447968285432,48.376,8/7/2023,Indianapolis SMM Food,124
302
+ 0.0,0.0024260878158616334,0.0,0.0,0.012808526067531899,0.0,0.0,46.59,8/8/2022,Indianapolis SMM Food,125
303
+ 0.0,0.0,0.0,0.0,0.003151564220508767,0.0,0.0,38.95,8/9/2021,Indianapolis SMM Food,126
304
+ 0.0,0.0,0.016644041455881685,0.0,0.0,0.11700205142709444,0.11446977205153618,49.036,9/11/2023,Indianapolis SMM Food,127
305
+ 0.0,0.0,0.0,0.023691657521331348,0.0,0.0,0.0,35.97,9/12/2022,Indianapolis SMM Food,128
306
+ 0.0,0.0,0.0,0.0,0.0022490848882767175,0.0,0.0,37.35,9/13/2021,Indianapolis SMM Food,129
307
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11645193260654113,51.603,9/18/2023,Indianapolis SMM Food,130
308
+ 0.0,0.0,0.0,0.0246961257538268,0.0,0.0,0.0,38.52,9/19/2022,Indianapolis SMM Food,131
309
+ 0.0,0.0,0.0,0.0,0.0029072329413917966,0.0,0.0,31.83,9/20/2021,Indianapolis SMM Food,132
310
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10009910802775024,53.418,9/25/2023,Indianapolis SMM Food,133
311
+ 0.0,0.0,0.0,0.028062573805723218,0.0,0.0,0.0,39.19,9/26/2022,Indianapolis SMM Food,134
312
+ 0.0,0.0,0.0,0.0,0.002647437657267423,0.0,0.0,31.38,9/27/2021,Indianapolis SMM Food,135
313
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10505450941526263,55.713,9/4/2023,Indianapolis SMM Food,136
314
+ 0.0,0.0,0.0,0.024787035718660904,0.0,0.0,0.0,46.84,9/5/2022,Indianapolis SMM Food,137
315
+ 0.0,0.0,0.0,0.0,0.0030024912122374,0.0,0.0,37.3,9/6/2021,Indianapolis SMM Food,138
316
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07383548067393458,96.535,8/7/2023,Jacksonville SMM Food,124
317
+ 0.0,0.0008658822942801401,0.0,0.0,0.007301484604295482,0.0,0.0,62.66,8/8/2022,Jacksonville SMM Food,125
318
+ 0.0,0.0,0.0,0.0,0.0019435161493304308,0.0,0.0,34.35,8/9/2021,Jacksonville SMM Food,126
319
+ 0.0,0.0,0.0069561155917302895,0.0,0.0,0.08053507618258654,0.059960356788899896,27.967,9/11/2023,Jacksonville SMM Food,127
320
+ 0.0,0.0,0.0,0.02082072414146757,0.0,0.0,0.0,27.95,9/12/2022,Jacksonville SMM Food,128
321
+ 0.0,0.0,0.0,0.0,0.0015767099505548275,0.0,0.0,32.77,9/13/2021,Jacksonville SMM Food,129
322
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06491575817641229,29.339,9/18/2023,Jacksonville SMM Food,130
323
+ 0.0,0.0,0.0,0.02170347183093534,0.0,0.0,0.0,26.19,9/19/2022,Jacksonville SMM Food,131
324
+ 0.0,0.0,0.0,0.0,0.001496297124516331,0.0,0.0,28.8,9/20/2021,Jacksonville SMM Food,132
325
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.049554013875123884,28.801,9/25/2023,Jacksonville SMM Food,133
326
+ 0.0,0.0,0.0,0.024661976783877985,0.0,0.0,0.0,25.24,9/26/2022,Jacksonville SMM Food,134
327
+ 0.0,0.0,0.0,0.0,0.0016119678819717068,0.0,0.0,25.69,9/27/2021,Jacksonville SMM Food,135
328
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07433102081268583,51.144,9/4/2023,Jacksonville SMM Food,136
329
+ 0.0,0.0,0.0,0.02178336541288693,0.0,0.0,0.0,43.45,9/5/2022,Jacksonville SMM Food,137
330
+ 0.0,0.0,0.0,0.0,0.0012927908186189051,0.0,0.0,31.77,9/6/2021,Jacksonville SMM Food,138
331
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11248761149653122,29.172,8/7/2023,Kansas City SMM Food,124
332
+ 0.0,0.0018331404008659269,0.0,0.0,0.0055076600234367145,0.0,0.0,35.15,8/8/2022,Kansas City SMM Food,125
333
+ 0.0,0.0,0.0,0.0,0.0016793909438039844,0.0,0.0,32.17,8/9/2021,Kansas City SMM Food,126
334
+ 0.0,0.0,0.0,0.0,0.0,0.08131822285155027,0.11050545094152626,33.379,9/11/2023,Kansas City SMM Food,127
335
+ 0.0,0.0,0.0,0.020919710852413544,0.0,0.0,0.0,31.54,9/12/2022,Kansas City SMM Food,128
336
+ 0.0,0.0,0.0,0.0,0.00130639914302542,0.0,0.0,35.16,9/13/2021,Kansas City SMM Food,129
337
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10555004955401387,30.958,9/18/2023,Kansas City SMM Food,130
338
+ 0.0,0.0,0.0,0.021806655337224045,0.0,0.0,0.0,30.39,9/19/2022,Kansas City SMM Food,131
339
+ 0.0,0.0,0.0,0.0,0.0012995949808221627,0.0,0.0,33.17,9/20/2021,Kansas City SMM Food,132
340
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10009910802775024,32.027,9/25/2023,Kansas City SMM Food,133
341
+ 0.0,0.0,0.0,0.024779225733846975,0.0,0.0,0.0,30.72,9/26/2022,Kansas City SMM Food,134
342
+ 0.0,0.0,0.0,0.0,0.0017282571996273786,0.0,0.0,30.48,9/27/2021,Kansas City SMM Food,135
343
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0882061446977205,31.622,9/4/2023,Kansas City SMM Food,136
344
+ 0.0,0.0,0.0,0.021886928747765332,0.0,0.0,0.0,33.43,9/5/2022,Kansas City SMM Food,137
345
+ 0.0,0.0,0.0,0.0,0.0012779453738117983,0.0,0.0,34.17,9/6/2021,Kansas City SMM Food,138
346
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.059960356788899896,28.985,8/7/2023,Knoxville SMM Food,124
347
+ 0.0,0.0009172922503781605,0.0,0.0,0.004641057182821841,0.0,0.0,24.48,8/8/2022,Knoxville SMM Food,125
348
+ 0.0,0.0,0.0,0.0,0.00217362054384059,0.0,0.0,22.62,8/9/2021,Knoxville SMM Food,126
349
+ 0.0,0.0,0.007657423696883808,0.0,0.0,0.05601546016597905,0.06095143706640238,34.993,9/11/2023,Knoxville SMM Food,127
350
+ 0.0,0.0,0.0,0.012082336514998791,0.0,0.0,0.0,21.57,9/12/2022,Knoxville SMM Food,128
351
+ 0.0,0.0,0.0,0.0,0.0016899064672090188,0.0,0.0,22.64,9/13/2021,Knoxville SMM Food,129
352
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05153617443012884,23.653,9/18/2023,Knoxville SMM Food,130
353
+ 0.0,0.0,0.0,0.012594597987226747,0.0,0.0,0.0,25.34,9/19/2022,Knoxville SMM Food,131
354
+ 0.0,0.0,0.0,0.0,0.0013614510008517755,0.0,0.0,23.4,9/20/2021,Knoxville SMM Food,132
355
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.055996035678889985,23.93,9/25/2023,Knoxville SMM Food,133
356
+ 0.0,0.0,0.0,0.014311428395501457,0.0,0.0,0.0,26.36,9/26/2022,Knoxville SMM Food,134
357
+ 0.0,0.0,0.0,0.0,0.0009154690964382679,0.0,0.0,25.75,9/27/2021,Knoxville SMM Food,135
358
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05302279484638256,27.206,9/4/2023,Knoxville SMM Food,136
359
+ 0.0,0.0,0.0,0.01264096049426039,0.0,0.0,0.0,23.09,9/5/2022,Knoxville SMM Food,137
360
+ 0.0,0.0,0.0,0.0,0.0013441313152434838,0.0,0.0,25.4,9/6/2021,Knoxville SMM Food,138
361
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05946481665014866,31.532,8/7/2023,Las Vegas SMM Food,124
362
+ 0.0,0.002099721240632628,0.0,0.0,0.003961259522696397,0.0,0.0,24.92,8/8/2022,Las Vegas SMM Food,125
363
+ 0.0,0.0,0.0,0.0,0.0010515523405034157,0.0,0.0,17.85,8/9/2021,Las Vegas SMM Food,126
364
+ 0.0,0.0,0.009369763221981868,0.0,0.0,0.08034252733962806,0.035678889990089196,34.959,9/11/2023,Las Vegas SMM Food,127
365
+ 0.0,0.0,0.0,0.0185917027305958,0.0,0.0,0.0,28.18,9/12/2022,Las Vegas SMM Food,128
366
+ 0.0,0.0,0.0,0.0,0.0012927908186189051,0.0,0.0,24.83,9/13/2021,Las Vegas SMM Food,129
367
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.048562933597621406,33.115,9/18/2023,Las Vegas SMM Food,130
368
+ 0.0,0.0,0.0,0.019379945382538788,0.0,0.0,0.0,26.13,9/19/2022,Las Vegas SMM Food,131
369
+ 0.0,0.0,0.0,0.0,0.001155470454153165,0.0,0.0,24.17,9/20/2021,Las Vegas SMM Food,132
370
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05302279484638256,30.334,9/25/2023,Las Vegas SMM Food,133
371
+ 0.0,0.0,0.0,0.022021719233974155,0.0,0.0,0.0,25.26,9/26/2022,Las Vegas SMM Food,134
372
+ 0.0,0.0,0.0,0.0,0.0013317601112375612,0.0,0.0,24.46,9/27/2021,Las Vegas SMM Food,135
373
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04707631318136769,30.934,9/4/2023,Las Vegas SMM Food,136
374
+ 0.0,0.0,0.0,0.019451285727142276,0.0,0.0,0.0,26.34,9/5/2022,Las Vegas SMM Food,137
375
+ 0.0,0.0,0.0,0.0,0.0016472258133885859,0.0,0.0,23.98,9/6/2021,Las Vegas SMM Food,138
376
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0639246778989098,10.063,8/7/2023,Little Rock/Pine Bluff SMM Food,124
377
+ 0.0,0.0014186837323228979,0.0,0.0,0.006373025743650996,0.0,0.0,8.89,8/8/2022,Little Rock/Pine Bluff SMM Food,125
378
+ 0.0,0.0,0.0,0.0,0.001933619186125693,0.0,0.0,10.01,8/9/2021,Little Rock/Pine Bluff SMM Food,126
379
+ 0.0,0.0,0.0067615890956558185,0.0,0.0,0.04907078091276023,0.055004955401387515,10.863,9/11/2023,Little Rock/Pine Bluff SMM Food,127
380
+ 0.0,0.0,0.0,0.015617921237149364,0.0,0.0,0.0,9.69,9/12/2022,Little Rock/Pine Bluff SMM Food,128
381
+ 0.0,0.0,0.0,0.0,0.0014356782248873107,0.0,0.0,11.67,9/13/2021,Little Rock/Pine Bluff SMM Food,129
382
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.062438057482656094,9.718,9/18/2023,Little Rock/Pine Bluff SMM Food,130
383
+ 0.0,0.0,0.0,0.01628008283607892,0.0,0.0,0.0,10.38,9/19/2022,Little Rock/Pine Bluff SMM Food,131
384
+ 0.0,0.0,0.0,0.0,0.0015482561813412057,0.0,0.0,9.39,9/20/2021,Little Rock/Pine Bluff SMM Food,132
385
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05252725470763132,9.803,9/25/2023,Little Rock/Pine Bluff SMM Food,133
386
+ 0.0,0.0,0.0,0.018499299465241616,0.0,0.0,0.0,9.19,9/26/2022,Little Rock/Pine Bluff SMM Food,134
387
+ 0.0,0.0,0.0,0.0,0.0015946481963634153,0.0,0.0,9.27,9/27/2021,Little Rock/Pine Bluff SMM Food,135
388
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04013875123885034,11.034,9/4/2023,Little Rock/Pine Bluff SMM Food,136
389
+ 0.0,0.0,0.0,0.016340012143976613,0.0,0.0,0.0,9.59,9/5/2022,Little Rock/Pine Bluff SMM Food,137
390
+ 0.0,0.0,0.0,0.0,0.0017777420156510687,0.0,0.0,11.85,9/6/2021,Little Rock/Pine Bluff SMM Food,138
391
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.3062438057482656,114.624,8/7/2023,Los Angeles SMM Food,124
392
+ 0.0,0.019228478860571916,0.0,0.0,0.03378946950137623,0.0,0.0,106.07,8/8/2022,Los Angeles SMM Food,125
393
+ 0.0,0.0,0.0,0.0,0.010010778281592518,0.0,0.0,93.99,8/9/2021,Los Angeles SMM Food,126
394
+ 0.0,0.0,0.13303797876107476,0.0,0.0,0.3747884838535892,0.2522299306243806,131.228,9/11/2023,Los Angeles SMM Food,127
395
+ 0.0,0.0,0.0,0.10969678061239888,0.0,0.0,0.0,115.82,9/12/2022,Los Angeles SMM Food,128
396
+ 0.0,0.0,0.0,0.0,0.009888921922134182,0.0,0.0,119.97,9/13/2021,Los Angeles SMM Food,129
397
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.24727452923686818,119.603,9/18/2023,Los Angeles SMM Food,130
398
+ 0.0,0.0,0.0,0.11434765534026742,0.0,0.0,0.0,109.13,9/19/2022,Los Angeles SMM Food,131
399
+ 0.0,0.0,0.0,0.0,0.00820272681612694,0.0,0.0,99.09,9/20/2021,Los Angeles SMM Food,132
400
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.25966303270564917,114.482,9/25/2023,Los Angeles SMM Food,133
401
+ 0.0,0.0,0.0,0.12993493592533384,0.0,0.0,0.0,115.06,9/26/2022,Los Angeles SMM Food,134
402
+ 0.0,0.0,0.0,0.0,0.00794355009220286,0.0,0.0,98.9,9/27/2021,Los Angeles SMM Food,135
403
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2477700693756194,135.601,9/4/2023,Los Angeles SMM Food,136
404
+ 0.0,0.0,0.0,0.11476858539692965,0.0,0.0,0.0,107.08,9/5/2022,Los Angeles SMM Food,137
405
+ 0.0,0.0,0.0,0.0,0.008441491053441243,0.0,0.0,109.3,9/6/2021,Los Angeles SMM Food,138
406
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.049554013875123884,5.978,8/7/2023,Madison WI SMM Food,124
407
+ 0.0,0.000593236234973785,0.0,0.0,0.0031558941419108397,0.0,0.0,5.08,8/8/2022,Madison WI SMM Food,125
408
+ 0.0,0.0,0.0,0.0,0.0008400047520021403,0.0,0.0,5.58,8/9/2021,Madison WI SMM Food,126
409
+ 0.0,0.0,0.004571583640934544,0.0,0.0,0.034073713711936085,0.037165510406342916,7.98,9/11/2023,Madison WI SMM Food,127
410
+ 0.0,0.0,0.0,0.00930365997973997,0.0,0.0,0.0,6.03,9/12/2022,Madison WI SMM Food,128
411
+ 0.0,0.0,0.0,0.0,0.0004911367990351248,0.0,0.0,8.3,9/13/2021,Madison WI SMM Food,129
412
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.044598612487611496,7.618,9/18/2023,Madison WI SMM Food,130
413
+ 0.0,0.0,0.0,0.009698112368307879,0.0,0.0,0.0,6.79,9/19/2022,Madison WI SMM Food,131
414
+ 0.0,0.0,0.0,0.0,0.0004218580566019586,0.0,0.0,5.87,9/20/2021,Madison WI SMM Food,132
415
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.03815659068384539,7.501,9/25/2023,Madison WI SMM Food,133
416
+ 0.0,0.0,0.0,0.011020108853925868,0.0,0.0,0.0,6.51,9/26/2022,Madison WI SMM Food,134
417
+ 0.0,0.0,0.0,0.0,0.0006612408541165596,0.0,0.0,5.48,9/27/2021,Madison WI SMM Food,135
418
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04509415262636274,8.164,9/4/2023,Madison WI SMM Food,136
419
+ 0.0,0.0,0.0,0.009733812499659315,0.0,0.0,0.0,5.28,9/5/2022,Madison WI SMM Food,137
420
+ 0.0,0.0,0.0,0.0,0.00041381677399810894,0.0,0.0,5.27,9/6/2021,Madison WI SMM Food,138
421
+ 0.0,0.005007849599907721,0.0,0.0,0.011139032086932654,0.0,0.0,265.02,8/8/2022,Miami/West Palm Beach SMM Food,125
422
+ 0.0,0.0,0.0,0.0,0.0028466140417627763,0.0,0.0,109.22,8/9/2021,Miami/West Palm Beach SMM Food,126
423
+ 0.0,0.0,0.018040328170654842,0.0,0.0,0.135383570276492,0.0867195242814668,117.213,9/11/2023,Miami/West Palm Beach SMM Food,127
424
+ 0.0,0.0,0.0,0.040042460444501625,0.0,0.0,0.0,103.86,9/12/2022,Miami/West Palm Beach SMM Food,128
425
+ 0.0,0.0,0.0,0.0,0.0025509422660212277,0.0,0.0,106.45,9/13/2021,Miami/West Palm Beach SMM Food,129
426
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08225966303270565,115.904,9/18/2023,Miami/West Palm Beach SMM Food,130
427
+ 0.0,0.0,0.0,0.04174016266482536,0.0,0.0,0.0,95.09,9/19/2022,Miami/West Palm Beach SMM Food,131
428
+ 0.0,0.0,0.0,0.0,0.002568261951629519,0.0,0.0,104.62,9/20/2021,Miami/West Palm Beach SMM Food,132
429
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07036669970267592,103.499,9/25/2023,Miami/West Palm Beach SMM Food,133
430
+ 0.0,0.0,0.0,0.04742996560650661,0.0,0.0,0.0,111.66,9/26/2022,Miami/West Palm Beach SMM Food,134
431
+ 0.0,0.0,0.0,0.0,0.0022886727410956695,0.0,0.0,102.39,9/27/2021,Miami/West Palm Beach SMM Food,135
432
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10158572844400396,146.302,9/4/2023,Miami/West Palm Beach SMM Food,136
433
+ 0.0,0.0,0.0,0.04189381415960767,0.0,0.0,0.0,147.87,9/5/2022,Miami/West Palm Beach SMM Food,137
434
+ 0.0,0.0,0.0,0.0,0.0027909436237361245,0.0,0.0,104.06,9/6/2021,Miami/West Palm Beach SMM Food,138
435
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0931615460852329,24.866,8/7/2023,Milwaukee SMM Food,124
436
+ 0.0,0.001717034769678263,0.0,0.0,0.009219639785413772,0.0,0.0,23.28,8/8/2022,Milwaukee SMM Food,125
437
+ 0.0,0.0,0.0,0.0,0.0018352681142786086,0.0,0.0,19.3,8/9/2021,Milwaukee SMM Food,126
438
+ 0.0,0.0,0.01275815316445043,0.0,0.0,0.08156726192538118,0.062438057482656094,25.297,9/11/2023,Milwaukee SMM Food,127
439
+ 0.0,0.0,0.0,0.021252502340492276,0.0,0.0,0.0,18.62,9/12/2022,Milwaukee SMM Food,128
440
+ 0.0,0.0,0.0,0.0,0.0014635134339006364,0.0,0.0,20.78,9/13/2021,Milwaukee SMM Food,129
441
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06689791873141725,28.503,9/18/2023,Milwaukee SMM Food,130
442
+ 0.0,0.0,0.0,0.02215355637305754,0.0,0.0,0.0,20.56,9/19/2022,Milwaukee SMM Food,131
443
+ 0.0,0.0,0.0,0.0,0.001509905448922846,0.0,0.0,18.05,9/20/2021,Milwaukee SMM Food,132
444
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08275520317145689,24.272,9/25/2023,Milwaukee SMM Food,133
445
+ 0.0,0.0,0.0,0.02517341451994022,0.0,0.0,0.0,19.51,9/26/2022,Milwaukee SMM Food,134
446
+ 0.0,0.0,0.0,0.0,0.0013719665242568095,0.0,0.0,20.33,9/27/2021,Milwaukee SMM Food,135
447
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07284440039643211,28.938,9/4/2023,Milwaukee SMM Food,136
448
+ 0.0,0.0,0.0,0.02223510677772291,0.0,0.0,0.0,25.25,9/5/2022,Milwaukee SMM Food,137
449
+ 0.0,0.0,0.0,0.0,0.001925577903521843,0.0,0.0,24.08,9/6/2021,Milwaukee SMM Food,138
450
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1709613478691774,37.06,8/7/2023,Minneapolis/St. Paul SMM Food,124
451
+ 0.0,0.0038046255712315823,0.0,0.0,0.00971510650585097,0.0,0.0,46.84,8/8/2022,Minneapolis/St. Paul SMM Food,125
452
+ 0.0,0.0,0.0,0.0,0.002077125152594394,0.0,0.0,41.5,8/9/2021,Minneapolis/St. Paul SMM Food,126
453
+ 0.0,0.0,0.03094870136244261,0.0,0.0,0.1252957809638225,0.17393458870168482,38.324,9/11/2023,Minneapolis/St. Paul SMM Food,127
454
+ 0.0,0.0,0.0,0.038681592342424166,0.0,0.0,0.0,51.68,9/12/2022,Minneapolis/St. Paul SMM Food,128
455
+ 0.0,0.0,0.0,0.0,0.001091758753522664,0.0,0.0,45.98,9/13/2021,Minneapolis/St. Paul SMM Food,129
456
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1570862239841427,40.978,9/18/2023,Minneapolis/St. Paul SMM Food,130
457
+ 0.0,0.0,0.0,0.0403215970895781,0.0,0.0,0.0,40.48,9/19/2022,Minneapolis/St. Paul SMM Food,131
458
+ 0.0,0.0,0.0,0.0,0.002432178707564371,0.0,0.0,49.56,9/20/2021,Minneapolis/St. Paul SMM Food,132
459
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.15262636273538155,38.141,9/25/2023,Minneapolis/St. Paul SMM Food,133
460
+ 0.0,0.0,0.0,0.04581802852379454,0.0,0.0,0.0,38.38,9/26/2022,Minneapolis/St. Paul SMM Food,134
461
+ 0.0,0.0,0.0,0.0,0.0014257812616825726,0.0,0.0,47.81,9/27/2021,Minneapolis/St. Paul SMM Food,135
462
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1645193260654113,40.776,9/4/2023,Minneapolis/St. Paul SMM Food,136
463
+ 0.0,0.0,0.0,0.04047002664468756,0.0,0.0,0.0,44.99,9/5/2022,Minneapolis/St. Paul SMM Food,137
464
+ 0.0,0.0,0.0,0.0,0.0022967140236995194,0.0,0.0,43.4,9/6/2021,Minneapolis/St. Paul SMM Food,138
465
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06194251734390485,48.944,8/7/2023,Mobile/Pensacola SMM Food,124
466
+ 0.0,0.0007766369210538014,0.0,0.0,0.006063745643502932,0.0,0.0,31.02,8/8/2022,Mobile/Pensacola SMM Food,125
467
+ 0.0,0.0,0.0,0.0,0.0015507304221423902,0.0,0.0,18.44,8/9/2021,Mobile/Pensacola SMM Food,126
468
+ 0.0,0.0,0.007016034816117654,0.0,0.0,0.06153590867568924,0.05153617443012884,18.764,9/11/2023,Mobile/Pensacola SMM Food,127
469
+ 0.0,0.0,0.0,0.016447031490323782,0.0,0.0,0.0,17.84,9/12/2022,Mobile/Pensacola SMM Food,128
470
+ 0.0,0.0,0.0,0.0,0.001671349661200135,0.0,0.0,18.48,9/13/2021,Mobile/Pensacola SMM Food,129
471
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05054509415262636,17.263,9/18/2023,Mobile/Pensacola SMM Food,130
472
+ 0.0,0.0,0.0,0.01714434533067197,0.0,0.0,0.0,15.41,9/19/2022,Mobile/Pensacola SMM Food,131
473
+ 0.0,0.0,0.0,0.0,0.0012228935159854428,0.0,0.0,17.3,9/20/2021,Mobile/Pensacola SMM Food,132
474
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.030723488602576808,16.84,9/25/2023,Mobile/Pensacola SMM Food,133
475
+ 0.0,0.0,0.0,0.019481373757693706,0.0,0.0,0.0,14.96,9/26/2022,Mobile/Pensacola SMM Food,134
476
+ 0.0,0.0,0.0,0.0,0.0012754711330106138,0.0,0.0,15.57,9/27/2021,Mobile/Pensacola SMM Food,135
477
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.053518334985133795,21.946,9/4/2023,Mobile/Pensacola SMM Food,136
478
+ 0.0,0.0,0.0,0.017207456111133626,0.0,0.0,0.0,23.31,9/5/2022,Mobile/Pensacola SMM Food,137
479
+ 0.0,0.0,0.0,0.0,0.0013367085928399302,0.0,0.0,17.9,9/6/2021,Mobile/Pensacola SMM Food,138
480
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08572844400396432,77.43,8/7/2023,Nashville SMM Food,124
481
+ 0.0,0.0024515039739325646,0.0,0.0,0.011818829747058097,0.0,0.0,56.6,8/8/2022,Nashville SMM Food,125
482
+ 0.0,0.0,0.0,0.0,0.002948676474811637,0.0,0.0,41.75,8/9/2021,Nashville SMM Food,126
483
+ 0.0,0.0,0.018863584556427716,0.0,0.0,0.1291559227775106,0.09613478691774033,54.687,9/11/2023,Nashville SMM Food,127
484
+ 0.0,0.0,0.0,0.023131705316610268,0.0,0.0,0.0,43.39,9/12/2022,Nashville SMM Food,128
485
+ 0.0,0.0,0.0,0.0,0.0023907351741445306,0.0,0.0,39.43,9/13/2021,Nashville SMM Food,129
486
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10951437066402378,55.368,9/18/2023,Nashville SMM Food,130
487
+ 0.0,0.0,0.0,0.02411243295492175,0.0,0.0,0.0,41.52,9/19/2022,Nashville SMM Food,131
488
+ 0.0,0.0,0.0,0.0,0.0027346546455091774,0.0,0.0,42.92,9/20/2021,Nashville SMM Food,132
489
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09217046580773042,58.347,9/25/2023,Nashville SMM Food,133
490
+ 0.0,0.0,0.0,0.0273993150200572,0.0,0.0,0.0,48.74,9/26/2022,Nashville SMM Food,134
491
+ 0.0,0.0,0.0,0.0,0.0031305331736986982,0.0,0.0,43.99,9/27/2021,Nashville SMM Food,135
492
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08225966303270565,54.91,9/4/2023,Nashville SMM Food,136
493
+ 0.0,0.0,0.0,0.024201194256313775,0.0,0.0,0.0,43.7,9/5/2022,Nashville SMM Food,137
494
+ 0.0,0.0,0.0,0.0,0.002930119668802753,0.0,0.0,44.1,9/6/2021,Nashville SMM Food,138
495
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05004955401387512,10.449,8/7/2023,New Orleans SMM Food,124
496
+ 0.0,0.0011893606697283578,0.0,0.0,0.006126220223732841,0.0,0.0,13.23,8/8/2022,New Orleans SMM Food,125
497
+ 0.0,0.0,0.0,0.0,0.0021148573248124577,0.0,0.0,14.12,8/9/2021,New Orleans SMM Food,126
498
+ 0.0,0.0,0.007795828665891241,0.0,0.0,0.0697753770970809,0.040634291377601585,12.088,9/11/2023,New Orleans SMM Food,127
499
+ 0.0,0.0,0.0,0.01804932909865379,0.0,0.0,0.0,9.64,9/12/2022,New Orleans SMM Food,128
500
+ 0.0,0.0,0.0,0.0,0.0012334090393904772,0.0,0.0,24.18,9/13/2021,New Orleans SMM Food,129
501
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05698711595639247,10.331,9/18/2023,New Orleans SMM Food,130
502
+ 0.0,0.0,0.0,0.01881457643298289,0.0,0.0,0.0,9.9,9/19/2022,New Orleans SMM Food,131
503
+ 0.0,0.0,0.0,0.0,0.001212996552780705,0.0,0.0,34.03,9/20/2021,New Orleans SMM Food,132
504
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04162537165510406,11.492,9/25/2023,New Orleans SMM Food,133
505
+ 0.0,0.0,0.0,0.02137928211724966,0.0,0.0,0.0,8.96,9/26/2022,New Orleans SMM Food,134
506
+ 0.0,0.0,0.0,0.0,0.0007688703289680858,0.0,0.0,17.31,9/27/2021,New Orleans SMM Food,135
507
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04162537165510406,18.667,9/4/2023,New Orleans SMM Food,136
508
+ 0.0,0.0,0.0,0.018883835570947957,0.0,0.0,0.0,19.88,9/5/2022,New Orleans SMM Food,137
509
+ 0.0,0.0,0.0,0.0,0.001574235709753643,0.0,0.0,7.57,9/6/2021,New Orleans SMM Food,138
510
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.4534192269573835,246.856,8/7/2023,New York SMM Food,124
511
+ 0.0,0.039101892732193715,0.0,0.0,0.0494452281708712,0.0,0.0,205.05,8/8/2022,New York SMM Food,125
512
+ 0.0,0.0,0.0,0.0,0.015521531106030714,0.0,0.0,234.8,8/9/2021,New York SMM Food,126
513
+ 0.0,0.0,0.24068159947386805,0.0,0.0,0.520680218910273,0.410802775024777,288.514,9/11/2023,New York SMM Food,127
514
+ 0.0,0.0,0.0,0.17120571402939075,0.0,0.0,0.0,254.52,9/12/2022,New York SMM Food,128
515
+ 0.0,0.0,0.0,0.0,0.013122136089082036,0.0,0.0,230.57,9/13/2021,New York SMM Food,129
516
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.41873141724479684,509.862,9/18/2023,New York SMM Food,130
517
+ 0.0,0.0,0.0,0.1784644168917692,0.0,0.0,0.0,247.62,9/19/2022,New York SMM Food,131
518
+ 0.0,0.0,0.0,0.0,0.012023573173356115,0.0,0.0,230.26,9/20/2021,New York SMM Food,132
519
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.42913776015857286,303.344,9/25/2023,New York SMM Food,133
520
+ 0.0,0.0,0.0,0.20279176256454842,0.0,0.0,0.0,260.65,9/26/2022,New York SMM Food,134
521
+ 0.0,0.0,0.0,0.0,0.011220682033371742,0.0,0.0,237.2,9/27/2021,New York SMM Food,135
522
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.4474727452923687,274.76,9/4/2023,New York SMM Food,136
523
+ 0.0,0.0,0.0,0.17912136984330115,0.0,0.0,0.0,223.46,9/5/2022,New York SMM Food,137
524
+ 0.0,0.0,0.0,0.0,0.01324461100874067,0.0,0.0,236.95,9/6/2021,New York SMM Food,138
525
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07482656095143707,53.749,8/7/2023,Norfolk/Portsmouth/Newport News SMM Food,124
526
+ 0.0,0.0011087798958443822,0.0,0.0,0.008415511525028807,0.0,0.0,62.84,8/8/2022,Norfolk/Portsmouth/Newport News SMM Food,125
527
+ 0.0,0.0,0.0,0.0,0.00208578499539854,0.0,0.0,53.72,8/9/2021,Norfolk/Portsmouth/Newport News SMM Food,126
528
+ 0.0,0.0,0.010047019244106654,0.0,0.0,0.08559141854246288,0.062438057482656094,66.739,9/11/2023,Norfolk/Portsmouth/Newport News SMM Food,127
529
+ 0.0,0.0,0.0,0.015531940702298817,0.0,0.0,0.0,56.23,9/12/2022,Norfolk/Portsmouth/Newport News SMM Food,128
530
+ 0.0,0.0,0.0,0.0,0.0010960886749247368,0.0,0.0,57.58,9/13/2021,Norfolk/Portsmouth/Newport News SMM Food,129
531
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06045589692765114,57.374,9/18/2023,Norfolk/Portsmouth/Newport News SMM Food,130
532
+ 0.0,0.0,0.0,0.016190456939540337,0.0,0.0,0.0,55.17,9/19/2022,Norfolk/Portsmouth/Newport News SMM Food,131
533
+ 0.0,0.0,0.0,0.0,0.0014499051094941215,0.0,0.0,47.98,9/20/2021,Norfolk/Portsmouth/Newport News SMM Food,132
534
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06442021803766104,71.472,9/25/2023,Norfolk/Portsmouth/Newport News SMM Food,133
535
+ 0.0,0.0,0.0,0.01839745623572133,0.0,0.0,0.0,47.55,9/26/2022,Norfolk/Portsmouth/Newport News SMM Food,134
536
+ 0.0,0.0,0.0,0.0,0.0011863984641679714,0.0,0.0,51.74,9/27/2021,Norfolk/Portsmouth/Newport News SMM Food,135
537
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05797819623389494,49.663,9/4/2023,Norfolk/Portsmouth/Newport News SMM Food,136
538
+ 0.0,0.0,0.0,0.01625005632294706,0.0,0.0,0.0,49.62,9/5/2022,Norfolk/Portsmouth/Newport News SMM Food,137
539
+ 0.0,0.0,0.0,0.0,0.0014202142198799074,0.0,0.0,80.86,9/6/2021,Norfolk/Portsmouth/Newport News SMM Food,138
540
+ 0.0,0.0012719631834588849,0.0,0.0,0.004641057182821841,0.0,0.0,2.43,8/8/2022,Oklahoma City SMM Food,125
541
+ 0.0,0.0,0.0,0.0,0.001920629421919474,0.0,0.0,2.79,8/9/2021,Oklahoma City SMM Food,126
542
+ 0.0,0.0,0.008075170402119658,0.0,0.0,0.05973936106606689,0.0639246778989098,5.321,9/11/2023,Oklahoma City SMM Food,127
543
+ 0.0,0.0,0.0,0.017613566913413724,0.0,0.0,0.0,4.4,9/12/2022,Oklahoma City SMM Food,128
544
+ 0.0,0.0,0.0,0.0,0.0016657826193974697,0.0,0.0,5.31,9/13/2021,Oklahoma City SMM Food,129
545
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06739345887016848,4.506,9/18/2023,Oklahoma City SMM Food,130
546
+ 0.0,0.0,0.0,0.01836033899387075,0.0,0.0,0.0,3.98,9/19/2022,Oklahoma City SMM Food,131
547
+ 0.0,0.0,0.0,0.0,0.0015340292967343948,0.0,0.0,3.66,9/20/2021,Oklahoma City SMM Food,132
548
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06095143706640238,6.145,9/25/2023,Oklahoma City SMM Food,133
549
+ 0.0,0.0,0.0,0.02086312538457761,0.0,0.0,0.0,3.72,9/26/2022,Oklahoma City SMM Food,134
550
+ 0.0,0.0,0.0,0.0,0.0010830989107185184,0.0,0.0,4.46,9/27/2021,Oklahoma City SMM Food,135
551
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06541129831516353,8.982,9/4/2023,Oklahoma City SMM Food,136
552
+ 0.0,0.0,0.0,0.018427926025991807,0.0,0.0,0.0,2.67,9/5/2022,Oklahoma City SMM Food,137
553
+ 0.0,0.0,0.0,0.0,0.002021454734567743,0.0,0.0,2.99,9/6/2021,Oklahoma City SMM Food,138
554
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04311199207135778,12.325,8/7/2023,Omaha SMM Food,124
555
+ 0.0,0.0009476183480764309,0.0,0.0,0.003898166382266192,0.0,0.0,15.49,8/8/2022,Omaha SMM Food,125
556
+ 0.0,0.0,0.0,0.0,0.000536291693656742,0.0,0.0,12.09,8/9/2021,Omaha SMM Food,126
557
+ 0.0,0.0,0.00745909950348901,0.0,0.0,0.04438741589312105,0.049554013875123884,13.324,9/11/2023,Omaha SMM Food,127
558
+ 0.0,0.0,0.0,0.009233480542505387,0.0,0.0,0.0,11.97,9/12/2022,Omaha SMM Food,128
559
+ 0.0,0.0,0.0,0.0,0.0005041265632413435,0.0,0.0,13.54,9/13/2021,Omaha SMM Food,129
560
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06045589692765114,12.73,9/18/2023,Omaha SMM Food,130
561
+ 0.0,0.0,0.0,0.0096249574987297,0.0,0.0,0.0,11.64,9/19/2022,Omaha SMM Food,131
562
+ 0.0,0.0,0.0,0.0,0.0006804162203257396,0.0,0.0,14.6,9/20/2021,Omaha SMM Food,132
563
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04558969276511397,13.377,9/25/2023,Omaha SMM Food,133
564
+ 0.0,0.0,0.0,0.010936981891184227,0.0,0.0,0.0,11.62,9/26/2022,Omaha SMM Food,134
565
+ 0.0,0.0,0.0,0.0,0.0004911367990351248,0.0,0.0,12.9,9/27/2021,Omaha SMM Food,135
566
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05004955401387512,14.921,9/4/2023,Omaha SMM Food,136
567
+ 0.0,0.0,0.0,0.00966038834039735,0.0,0.0,0.0,12.01,9/5/2022,Omaha SMM Food,137
568
+ 0.0,0.0,0.0,0.0,0.000555467059865922,0.0,0.0,13.82,9/6/2021,Omaha SMM Food,138
569
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.15807730426164518,296.409,8/7/2023,Orlando/Daytona Beach/Melborne SMM Food,124
570
+ 0.0,0.0035978304669271864,0.0,0.0,0.014912249308739028,0.0,0.0,177.13,8/8/2022,Orlando/Daytona Beach/Melborne SMM Food,125
571
+ 0.0,0.0,0.0,0.0,0.005805187479779151,0.0,0.0,65.31,8/9/2021,Orlando/Daytona Beach/Melborne SMM Food,126
572
+ 0.0,0.0,0.024174453275719036,0.0,0.0,0.18581466537428856,0.1238850346878097,77.936,9/11/2023,Orlando/Daytona Beach/Melborne SMM Food,127
573
+ 0.0,0.0,0.0,0.04488872730475567,0.0,0.0,0.0,68.78,9/12/2022,Orlando/Daytona Beach/Melborne SMM Food,128
574
+ 0.0,0.0,0.0,0.0,0.003562906753705691,0.0,0.0,66.88,9/13/2021,Orlando/Daytona Beach/Melborne SMM Food,129
575
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13627353815659068,75.008,9/18/2023,Orlando/Daytona Beach/Melborne SMM Food,130
576
+ 0.0,0.0,0.0,0.046791899365486236,0.0,0.0,0.0,58.18,9/19/2022,Orlando/Daytona Beach/Melborne SMM Food,131
577
+ 0.0,0.0,0.0,0.0,0.003940847036086625,0.0,0.0,59.08,9/20/2021,Orlando/Daytona Beach/Melborne SMM Food,132
578
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11149653121902874,68.939,9/25/2023,Orlando/Daytona Beach/Melborne SMM Food,133
579
+ 0.0,0.0,0.0,0.053170328912353564,0.0,0.0,0.0,66.79,9/26/2022,Orlando/Daytona Beach/Melborne SMM Food,134
580
+ 0.0,0.0,0.0,0.0,0.004718377207858856,0.0,0.0,57.95,9/27/2021,Orlando/Daytona Beach/Melborne SMM Food,135
581
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17244796828543113,108.309,9/4/2023,Orlando/Daytona Beach/Melborne SMM Food,136
582
+ 0.0,0.0,0.0,0.0469641470254011,0.0,0.0,0.0,84.61,9/5/2022,Orlando/Daytona Beach/Melborne SMM Food,137
583
+ 0.0,0.0,0.0,0.0,0.004595902288200223,0.0,0.0,60.35,9/6/2021,Orlando/Daytona Beach/Melborne SMM Food,138
584
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.028245787908820614,6.148,8/7/2023,Paducah KY/Cape Girardeau MO SMM Food,124
585
+ 0.0,0.00036420199235732373,0.0,0.0,0.0035888862821181287,0.0,0.0,5.95,8/8/2022,Paducah KY/Cape Girardeau MO SMM Food,125
586
+ 0.0,0.0,0.0,0.0,0.0016602155775948047,0.0,0.0,6.97,8/9/2021,Paducah KY/Cape Girardeau MO SMM Food,126
587
+ 0.0,0.0,0.0033689794894980066,0.0,0.0,0.02940059048808853,0.036669970267591674,5.015,9/11/2023,Paducah KY/Cape Girardeau MO SMM Food,127
588
+ 0.0,0.0,0.0,0.008585794855104294,0.0,0.0,0.0,5.9,9/12/2022,Paducah KY/Cape Girardeau MO SMM Food,128
589
+ 0.0,0.0,0.0,0.0,0.0006470139695097488,0.0,0.0,5.93,9/13/2021,Paducah KY/Cape Girardeau MO SMM Food,129
590
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0421209117938553,5.725,9/18/2023,Paducah KY/Cape Girardeau MO SMM Food,130
591
+ 0.0,0.0,0.0,0.008949811523566999,0.0,0.0,0.0,4.53,9/19/2022,Paducah KY/Cape Girardeau MO SMM Food,131
592
+ 0.0,0.0,0.0,0.0,0.001383719168062436,0.0,0.0,5.28,9/20/2021,Paducah KY/Cape Girardeau MO SMM Food,132
593
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.03815659068384539,4.811,9/25/2023,Paducah KY/Cape Girardeau MO SMM Food,133
594
+ 0.0,0.0,0.0,0.010169803507137157,0.0,0.0,0.0,6.14,9/26/2022,Paducah KY/Cape Girardeau MO SMM Food,134
595
+ 0.0,0.0,0.0,0.0,0.0010738205077140764,0.0,0.0,5.48,9/27/2021,Paducah KY/Cape Girardeau MO SMM Food,135
596
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.024777006937561942,6.809,9/4/2023,Paducah KY/Cape Girardeau MO SMM Food,136
597
+ 0.0,0.0,0.0,0.008982757054847872,0.0,0.0,0.0,7.88,9/5/2022,Paducah KY/Cape Girardeau MO SMM Food,137
598
+ 0.0,0.0,0.0,0.0,0.0006903131835304776,0.0,0.0,7.07,9/6/2021,Paducah KY/Cape Girardeau MO SMM Food,138
599
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2522299306243806,136.614,8/7/2023,Philadelphia SMM Food,124
600
+ 0.0,0.006726039649498299,0.0,0.0,0.0256807638356943,0.0,0.0,135.86,8/8/2022,Philadelphia SMM Food,125
601
+ 0.0,0.0,0.0,0.0,0.007499423868390242,0.0,0.0,130.86,8/9/2021,Philadelphia SMM Food,126
602
+ 0.0,0.0,0.04194430100389289,0.0,0.0,0.2407575070389005,0.21754212091179384,175.883,9/11/2023,Philadelphia SMM Food,127
603
+ 0.0,0.0,0.0,0.06751901436081623,0.0,0.0,0.0,157.21,9/12/2022,Philadelphia SMM Food,128
604
+ 0.0,0.0,0.0,0.0,0.006012405146878353,0.0,0.0,149.83,9/13/2021,Philadelphia SMM Food,129
605
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.20416253716551042,235.367,9/18/2023,Philadelphia SMM Food,130
606
+ 0.0,0.0,0.0,0.07038165514606878,0.0,0.0,0.0,153.26,9/19/2022,Philadelphia SMM Food,131
607
+ 0.0,0.0,0.0,0.0,0.0061806535213589,0.0,0.0,146.17,9/20/2021,Philadelphia SMM Food,132
608
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2358771060455897,157.971,9/25/2023,Philadelphia SMM Food,133
609
+ 0.0,0.0,0.0,0.07997571812552183,0.0,0.0,0.0,135.14,9/26/2022,Philadelphia SMM Food,134
610
+ 0.0,0.0,0.0,0.0,0.00549714450003168,0.0,0.0,145.33,9/27/2021,Philadelphia SMM Food,135
611
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2309217046580773,165.02,9/4/2023,Philadelphia SMM Food,136
612
+ 0.0,0.0,0.0,0.07064074003892257,0.0,0.0,0.0,151.89,9/5/2022,Philadelphia SMM Food,137
613
+ 0.0,0.0,0.0,0.0,0.0056214751002912015,0.0,0.0,155.51,9/6/2021,Philadelphia SMM Food,138
614
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17195242814667988,79.849,8/7/2023,Phoenix/Prescott SMM Food,124
615
+ 0.0,0.0,0.0,0.0,0.014418019708702422,0.0,0.0,66.86,8/8/2022,Phoenix/Prescott SMM Food,125
616
+ 0.0,0.0,0.0,0.0,0.005271370026923594,0.0,0.0,46.12,8/9/2021,Phoenix/Prescott SMM Food,126
617
+ 0.0,0.0,0.0,0.0,0.0,0.001808959402470655,0.13627353815659068,80.322,9/11/2023,Phoenix/Prescott SMM Food,127
618
+ 0.0,0.0,0.0,0.036806299803701564,0.0,0.0,0.0,73.57,9/12/2022,Phoenix/Prescott SMM Food,128
619
+ 0.0,0.0,0.0,0.0,0.0034243492688393585,0.0,0.0,56.9,9/13/2021,Phoenix/Prescott SMM Food,129
620
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1630327056491576,72.968,9/18/2023,Phoenix/Prescott SMM Food,130
621
+ 0.0,0.0,0.0,0.0383667967368777,0.0,0.0,0.0,67.09,9/19/2022,Phoenix/Prescott SMM Food,131
622
+ 0.0,0.0,0.0,0.0,0.002687025510086375,0.0,0.0,54.17,9/20/2021,Phoenix/Prescott SMM Food,132
623
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1367690782953419,71.044,9/25/2023,Phoenix/Prescott SMM Food,133
624
+ 0.0,0.0,0.0,0.04359675990047249,0.0,0.0,0.0,75.15,9/26/2022,Phoenix/Prescott SMM Food,134
625
+ 0.0,0.0,0.0,0.0,0.0027371288863103616,0.0,0.0,54.23,9/27/2021,Phoenix/Prescott SMM Food,135
626
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14866204162537167,80.716,9/4/2023,Phoenix/Prescott SMM Food,136
627
+ 0.0,0.0,0.0,0.038508030393034846,0.0,0.0,0.0,67.72,9/5/2022,Phoenix/Prescott SMM Food,137
628
+ 0.0,0.0,0.0,0.0,0.0037181653639800187,0.0,0.0,56.91,9/6/2021,Phoenix/Prescott SMM Food,138
629
+ 0.0,0.0022663703679840757,0.0,0.0,0.00748705266438432,0.0,0.0,50.92,8/8/2022,Pittsburgh SMM Food,125
630
+ 0.0,0.0,0.0,0.0,0.003074244195471751,0.0,0.0,59.65,8/9/2021,Pittsburgh SMM Food,126
631
+ 0.0,0.0,0.009616613547803052,0.0,0.0,0.0779249674907126,0.11050545094152626,57.215,9/11/2023,Pittsburgh SMM Food,127
632
+ 0.0,0.0,0.0,0.025851136933559334,0.0,0.0,0.0,57.81,9/12/2022,Pittsburgh SMM Food,128
633
+ 0.0,0.0,0.0,0.0,0.002534859700813528,0.0,0.0,64.84,9/13/2021,Pittsburgh SMM Food,129
634
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10604558969276512,50.418,9/18/2023,Pittsburgh SMM Food,130
635
+ 0.0,0.0,0.0,0.026947161800410718,0.0,0.0,0.0,49.22,9/19/2022,Pittsburgh SMM Food,131
636
+ 0.0,0.0,0.0,0.0,0.002456921115576216,0.0,0.0,55.17,9/20/2021,Pittsburgh SMM Food,132
637
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10059464816650149,54.89,9/25/2023,Pittsburgh SMM Food,133
638
+ 0.0,0.0,0.0,0.030620459431281187,0.0,0.0,0.0,46.36,9/26/2022,Pittsburgh SMM Food,134
639
+ 0.0,0.0,0.0,0.0,0.002446405592171182,0.0,0.0,58.95,9/27/2021,Pittsburgh SMM Food,135
640
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.08870168483647176,59.663,9/4/2023,Pittsburgh SMM Food,136
641
+ 0.0,0.0,0.0,0.027046358148388426,0.0,0.0,0.0,56.47,9/5/2022,Pittsburgh SMM Food,137
642
+ 0.0,0.0,0.0,0.0,0.0023140337093078105,0.0,0.0,57.77,9/6/2021,Pittsburgh SMM Food,138
643
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10257680872150644,31.759,8/7/2023,Portland OR SMM Food,124
644
+ 0.0,0.002691513375716019,0.0,0.0,0.007488289784784913,0.0,0.0,32.69,8/8/2022,Portland OR SMM Food,125
645
+ 0.0,0.0,0.0,0.0,0.0017870204186555107,0.0,0.0,36.91,8/9/2021,Portland OR SMM Food,126
646
+ 0.0,0.0,0.020675086178223175,0.0,0.0,0.10859833173904791,0.09613478691774033,41.43,9/11/2023,Portland OR SMM Food,127
647
+ 0.0,0.0,0.0,0.025917320120911743,0.0,0.0,0.0,37.08,9/12/2022,Portland OR SMM Food,128
648
+ 0.0,0.0,0.0,0.0,0.0024290859065628904,0.0,0.0,40.37,9/13/2021,Portland OR SMM Food,129
649
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11050545094152626,36.716,9/18/2023,Portland OR SMM Food,130
650
+ 0.0,0.0,0.0,0.02701615099834603,0.0,0.0,0.0,34.13,9/19/2022,Portland OR SMM Food,131
651
+ 0.0,0.0,0.0,0.0,0.0006643336551180404,0.0,0.0,39.78,9/20/2021,Portland OR SMM Food,132
652
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.099603567888999,39.153,9/25/2023,Portland OR SMM Food,133
653
+ 0.0,0.0,0.0,0.030698852877443856,0.0,0.0,0.0,34.55,9/26/2022,Portland OR SMM Food,134
654
+ 0.0,0.0,0.0,0.0,0.0015080497683219573,0.0,0.0,36.01,9/27/2021,Portland OR SMM Food,135
655
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10356788899900891,45.084,9/4/2023,Portland OR SMM Food,136
656
+ 0.0,0.0,0.0,0.027115601306424007,0.0,0.0,0.0,32.45,9/5/2022,Portland OR SMM Food,137
657
+ 0.0,0.0,0.0,0.0,0.0023134151491075146,0.0,0.0,41.15,9/6/2021,Portland OR SMM Food,138
658
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05153617443012884,35.059,8/7/2023,Providence RI/New Bedford MA SMM Food,124
659
+ 0.0,0.0014989756862287948,0.0,0.0,0.006621068383969743,0.0,0.0,36.29,8/8/2022,Providence RI/New Bedford MA SMM Food,125
660
+ 0.0,0.0,0.0,0.0,0.0017084632732179026,0.0,0.0,35.9,8/9/2021,Providence RI/New Bedford MA SMM Food,126
661
+ 0.0,0.0,0.005980529346775456,0.0,0.0,0.05103785298168852,0.05004955401387512,39.575,9/11/2023,Providence RI/New Bedford MA SMM Food,127
662
+ 0.0,0.0,0.0,0.016572692519385028,0.0,0.0,0.0,47.61,9/12/2022,Providence RI/New Bedford MA SMM Food,128
663
+ 0.0,0.0,0.0,0.0,0.0012748525728103176,0.0,0.0,36.32,9/13/2021,Providence RI/New Bedford MA SMM Food,129
664
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.05450941526263627,46.736,9/18/2023,Providence RI/New Bedford MA SMM Food,130
665
+ 0.0,0.0,0.0,0.01727533407353234,0.0,0.0,0.0,43.68,9/19/2022,Providence RI/New Bedford MA SMM Food,131
666
+ 0.0,0.0,0.0,0.0,0.0017511439270383351,0.0,0.0,32.15,9/20/2021,Providence RI/New Bedford MA SMM Food,132
667
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.053518334985133795,44.89,9/25/2023,Providence RI/New Bedford MA SMM Food,133
668
+ 0.0,0.0,0.0,0.01963021820698563,0.0,0.0,0.0,43.55,9/26/2022,Providence RI/New Bedford MA SMM Food,134
669
+ 0.0,0.0,0.0,0.0,0.0016719682214004312,0.0,0.0,32.14,9/27/2021,Providence RI/New Bedford MA SMM Food,135
670
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.052031714568880075,36.566,9/4/2023,Providence RI/New Bedford MA SMM Food,136
671
+ 0.0,0.0,0.0,0.017338927045711716,0.0,0.0,0.0,40.72,9/5/2022,Providence RI/New Bedford MA SMM Food,137
672
+ 0.0,0.0,0.0,0.0,0.0022255796006654645,0.0,0.0,34.4,9/6/2021,Providence RI/New Bedford MA SMM Food,138
673
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10208126858275521,74.844,8/7/2023,Raleigh/Durham/Fayetteville SMM Food,124
674
+ 0.0,0.002229401410789994,0.0,0.0,0.014169977068383676,0.0,0.0,95.13,8/8/2022,Raleigh/Durham/Fayetteville SMM Food,125
675
+ 0.0,0.0,0.0,0.0,0.0034323905514432084,0.0,0.0,67.86,8/9/2021,Raleigh/Durham/Fayetteville SMM Food,126
676
+ 0.0,0.0,0.017138164073892976,0.0,0.0,0.12866985361914052,0.09217046580773042,92.348,9/11/2023,Raleigh/Durham/Fayetteville SMM Food,127
677
+ 0.0,0.0,0.0,0.03276343729674159,0.0,0.0,0.0,84.3,9/12/2022,Raleigh/Durham/Fayetteville SMM Food,128
678
+ 0.0,0.0,0.0,0.0,0.0024866120051904306,0.0,0.0,74.59,9/13/2021,Raleigh/Durham/Fayetteville SMM Food,129
679
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09464816650148662,87.201,9/18/2023,Raleigh/Durham/Fayetteville SMM Food,130
680
+ 0.0,0.0,0.0,0.034152526763903276,0.0,0.0,0.0,76.26,9/19/2022,Raleigh/Durham/Fayetteville SMM Food,131
681
+ 0.0,0.0,0.0,0.0,0.0025843445168372186,0.0,0.0,62.15,9/20/2021,Raleigh/Durham/Fayetteville SMM Food,132
682
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09266600594648167,108.314,9/25/2023,Raleigh/Durham/Fayetteville SMM Food,133
683
+ 0.0,0.0,0.0,0.03880802245868132,0.0,0.0,0.0,60.35,9/26/2022,Raleigh/Durham/Fayetteville SMM Food,134
684
+ 0.0,0.0,0.0,0.0,0.00243712718916674,0.0,0.0,64.26,9/27/2021,Raleigh/Durham/Fayetteville SMM Food,135
685
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07730426164519326,60.95,9/4/2023,Raleigh/Durham/Fayetteville SMM Food,136
686
+ 0.0,0.0,0.0,0.03427824709389885,0.0,0.0,0.0,65.5,9/5/2022,Raleigh/Durham/Fayetteville SMM Food,137
687
+ 0.0,0.0,0.0,0.0,0.0019868153633511593,0.0,0.0,98.44,9/6/2021,Raleigh/Durham/Fayetteville SMM Food,138
688
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.6694747274529237,288.005,8/7/2023,Rem US East North Central SMM Food,124
689
+ 0.0,0.010814575259181308,0.0,0.0,0.07214515040133847,0.0,0.0,308.06,8/8/2022,Rem US East North Central SMM Food,125
690
+ 0.0,0.0,0.0,0.0,0.02009021674541791,0.0,0.0,247.25,8/9/2021,Rem US East North Central SMM Food,126
691
+ 0.0,0.0,0.07424624851147829,0.0,0.0,0.5637364309077629,0.6283448959365708,263.553,9/11/2023,Rem US East North Central SMM Food,127
692
+ 0.0,0.0,0.0,0.1610144344327281,0.0,0.0,0.0,240.58,9/12/2022,Rem US East North Central SMM Food,128
693
+ 0.0,0.0,0.0,0.0,0.016926281320903215,0.0,0.0,240.68,9/13/2021,Rem US East North Central SMM Food,129
694
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.5926660059464817,298.802,9/18/2023,Rem US East North Central SMM Food,130
695
+ 0.0,0.0,0.0,0.16784105194697213,0.0,0.0,0.0,230.68,9/19/2022,Rem US East North Central SMM Food,131
696
+ 0.0,0.0,0.0,0.0,0.016729579177209047,0.0,0.0,202.81,9/20/2021,Rem US East North Central SMM Food,132
697
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.5812685827552032,297.755,9/25/2023,Rem US East North Central SMM Food,133
698
+ 0.0,0.0,0.0,0.1907202755058764,0.0,0.0,0.0,247.8,9/26/2022,Rem US East North Central SMM Food,134
699
+ 0.0,0.0,0.0,0.0,0.014327709919459187,0.0,0.0,202.26,9/27/2021,Rem US East North Central SMM Food,135
700
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.5827552031714569,348.214,9/4/2023,Rem US East North Central SMM Food,136
701
+ 0.0,0.0,0.0,0.16845889879914241,0.0,0.0,0.0,298.88,9/5/2022,Rem US East North Central SMM Food,137
702
+ 0.0,0.0,0.0,0.0,0.015420087233182148,0.0,0.0,258.8,9/6/2021,Rem US East North Central SMM Food,138
703
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.28344895936570863,84.899,8/7/2023,Rem US Middle Atlantic SMM Food,124
704
+ 0.0,0.004143700225496054,0.0,0.0,0.0231415742134787,0.0,0.0,71.81,8/8/2022,Rem US Middle Atlantic SMM Food,125
705
+ 0.0,0.0,0.0,0.0,0.006617357022767966,0.0,0.0,78.23,8/9/2021,Rem US Middle Atlantic SMM Food,126
706
+ 0.0,0.0,0.028037555383228337,0.0,0.0,0.20463726833171583,0.267591674925669,91.266,9/11/2023,Rem US Middle Atlantic SMM Food,127
707
+ 0.0,0.0,0.0,0.05392961586570856,0.0,0.0,0.0,79.8,9/12/2022,Rem US Middle Atlantic SMM Food,128
708
+ 0.0,0.0,0.0,0.0,0.005358587015165347,0.0,0.0,82.84,9/13/2021,Rem US Middle Atlantic SMM Food,129
709
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2968285431119921,95.654,9/18/2023,Rem US Middle Atlantic SMM Food,130
710
+ 0.0,0.0,0.0,0.056216099457233604,0.0,0.0,0.0,79.34,9/19/2022,Rem US Middle Atlantic SMM Food,131
711
+ 0.0,0.0,0.0,0.0,0.005923332478035712,0.0,0.0,79.18,9/20/2021,Rem US Middle Atlantic SMM Food,132
712
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.288404360753221,92.07,9/25/2023,Rem US Middle Atlantic SMM Food,133
713
+ 0.0,0.0,0.0,0.06387918718332888,0.0,0.0,0.0,76.85,9/26/2022,Rem US Middle Atlantic SMM Food,134
714
+ 0.0,0.0,0.0,0.0,0.004886007022139106,0.0,0.0,78.62,9/27/2021,Rem US Middle Atlantic SMM Food,135
715
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.25421209117938554,92.244,9/4/2023,Rem US Middle Atlantic SMM Food,136
716
+ 0.0,0.0,0.0,0.05642303894016692,0.0,0.0,0.0,90.03,9/5/2022,Rem US Middle Atlantic SMM Food,137
717
+ 0.0,0.0,0.0,0.0,0.005541680834453002,0.0,0.0,88.71,9/6/2021,Rem US Middle Atlantic SMM Food,138
718
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.3865213082259663,129.148,8/7/2023,Rem US Mountain SMM Food,124
719
+ 0.0,0.00753329148822845,0.0,0.0,0.02747273273595218,0.0,0.0,113.3,8/8/2022,Rem US Mountain SMM Food,125
720
+ 0.0,0.0,0.0,0.0,0.007616950306446507,0.0,0.0,115.63,8/9/2021,Rem US Mountain SMM Food,126
721
+ 0.0,0.0,0.023499729051807798,0.0,0.0,0.3230963384624684,0.3295341922695738,135.595,9/11/2023,Rem US Mountain SMM Food,127
722
+ 0.0,0.0,0.0,0.08969502904489553,0.0,0.0,0.0,124.27,9/12/2022,Rem US Mountain SMM Food,128
723
+ 0.0,0.0,0.0,0.0,0.005267040105521521,0.0,0.0,115.0,9/13/2021,Rem US Mountain SMM Food,129
724
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.3637264618434093,137.112,9/18/2023,Rem US Mountain SMM Food,130
725
+ 0.0,0.0,0.0,0.09349787851239232,0.0,0.0,0.0,126.58,9/19/2022,Rem US Mountain SMM Food,131
726
+ 0.0,0.0,0.0,0.0,0.004318168758267262,0.0,0.0,118.66,9/20/2021,Rem US Mountain SMM Food,132
727
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.3399405351833498,137.733,9/25/2023,Rem US Mountain SMM Food,133
728
+ 0.0,0.0,0.0,0.10624302537960408,0.0,0.0,0.0,125.46,9/26/2022,Rem US Mountain SMM Food,134
729
+ 0.0,0.0,0.0,0.0,0.0057761151503652325,0.0,0.0,115.09,9/27/2021,Rem US Mountain SMM Food,135
730
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.31714568880079286,153.818,9/4/2023,Rem US Mountain SMM Food,136
731
+ 0.0,0.0,0.0,0.09384205752517928,0.0,0.0,0.0,123.49,9/5/2022,Rem US Mountain SMM Food,137
732
+ 0.0,0.0,0.0,0.0,0.005829929887790996,0.0,0.0,119.33,9/6/2021,Rem US Mountain SMM Food,138
733
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14816650148662042,95.632,8/7/2023,Rem US New England SMM Food,124
734
+ 0.0,0.0027053767346638,0.0,0.0,0.012870382087561513,0.0,0.0,92.11,8/8/2022,Rem US New England SMM Food,125
735
+ 0.0,0.0,0.0,0.0,0.0037107426415764655,0.0,0.0,93.54,8/9/2021,Rem US New England SMM Food,126
736
+ 0.0,0.0,0.016692145621939145,0.0,0.0,0.10162023020001978,0.14717542120911795,96.91,9/11/2023,Rem US New England SMM Food,127
737
+ 0.0,0.0,0.0,0.02729342543083433,0.0,0.0,0.0,108.12,9/12/2022,Rem US New England SMM Food,128
738
+ 0.0,0.0,0.0,0.0,0.003017336657044507,0.0,0.0,105.63,9/13/2021,Rem US New England SMM Food,129
739
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14568880079286423,104.654,9/18/2023,Rem US New England SMM Food,130
740
+ 0.0,0.0,0.0,0.028450599800614283,0.0,0.0,0.0,107.99,9/19/2022,Rem US New England SMM Food,131
741
+ 0.0,0.0,0.0,0.0,0.001866196124293415,0.0,0.0,103.16,9/20/2021,Rem US New England SMM Food,132
742
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1377601585728444,103.237,9/25/2023,Rem US New England SMM Food,133
743
+ 0.0,0.0,0.0,0.032328838321626044,0.0,0.0,0.0,110.46,9/26/2022,Rem US New England SMM Food,134
744
+ 0.0,0.0,0.0,0.0,0.002290528421696558,0.0,0.0,93.03,9/27/2021,Rem US New England SMM Food,135
745
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13181367690782952,95.746,9/4/2023,Rem US New England SMM Food,136
746
+ 0.0,0.0,0.0,0.028555330519776528,0.0,0.0,0.0,94.74,9/5/2022,Rem US New England SMM Food,137
747
+ 0.0,0.0,0.0,0.0,0.0022682602544858974,0.0,0.0,92.71,9/6/2021,Rem US New England SMM Food,138
748
+ 0.0,0.006359527097316345,0.0,0.0,0.02227744561366501,0.0,0.0,56.31,8/8/2022,Rem US Pacific SMM Food,125
749
+ 0.0,0.0,0.0,0.0,0.006462098412493638,0.0,0.0,52.58,8/9/2021,Rem US Pacific SMM Food,126
750
+ 0.0,0.0,0.04350177887159544,0.0,0.0,0.2505022822201761,0.26957383548067393,68.969,9/11/2023,Rem US Pacific SMM Food,127
751
+ 0.0,0.0,0.0,0.07303394106363369,0.0,0.0,0.0,64.99,9/12/2022,Rem US Pacific SMM Food,128
752
+ 0.0,0.0,0.0,0.0,0.005756939784156053,0.0,0.0,60.43,9/13/2021,Rem US Pacific SMM Food,129
753
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2755203171456888,59.672,9/18/2023,Rem US Pacific SMM Food,130
754
+ 0.0,0.0,0.0,0.07613040119907764,0.0,0.0,0.0,59.55,9/19/2022,Rem US Pacific SMM Food,131
755
+ 0.0,0.0,0.0,0.0,0.006201684568168969,0.0,0.0,50.8,9/20/2021,Rem US Pacific SMM Food,132
756
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.25173439048562934,59.2,9/25/2023,Rem US Pacific SMM Food,133
757
+ 0.0,0.0,0.0,0.08650810352908421,0.0,0.0,0.0,58.94,9/26/2022,Rem US Pacific SMM Food,134
758
+ 0.0,0.0,0.0,0.0,0.00586766206000906,0.0,0.0,56.23,9/27/2021,Rem US Pacific SMM Food,135
759
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.2512388503468781,68.417,9/4/2023,Rem US Pacific SMM Food,136
760
+ 0.0,0.0,0.0,0.07641064808426322,0.0,0.0,0.0,64.25,9/5/2022,Rem US Pacific SMM Food,137
761
+ 0.0,0.0,0.0,0.0,0.006398386711863137,0.0,0.0,56.78,9/6/2021,Rem US Pacific SMM Food,138
762
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.6902874132804757,361.601,8/7/2023,Rem US South Atlantic SMM Food,124
763
+ 0.0,0.012989967334070573,0.0,0.0,0.07146720842181392,0.0,0.0,306.04,8/8/2022,Rem US South Atlantic SMM Food,125
764
+ 0.0,0.0,0.0,0.0,0.021449812065668792,0.0,0.0,216.74,8/9/2021,Rem US South Atlantic SMM Food,126
765
+ 0.0,0.0,0.07827180767102376,0.0,0.0,0.7032422127774433,0.5802775024777007,251.083,9/11/2023,Rem US South Atlantic SMM Food,127
766
+ 0.0,0.0,0.0,0.17196903338655478,0.0,0.0,0.0,233.99,9/12/2022,Rem US South Atlantic SMM Food,128
767
+ 0.0,0.0,0.0,0.0,0.015825244164376112,0.0,0.0,221.21,9/13/2021,Rem US South Atlantic SMM Food,129
768
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.6040634291377601,232.236,9/18/2023,Rem US South Atlantic SMM Food,130
769
+ 0.0,0.0,0.0,0.17926009905695495,0.0,0.0,0.0,215.08,9/19/2022,Rem US South Atlantic SMM Food,131
770
+ 0.0,0.0,0.0,0.0,0.017987112064411077,0.0,0.0,197.7,9/20/2021,Rem US South Atlantic SMM Food,132
771
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.5708622398414271,309.873,9/25/2023,Rem US South Atlantic SMM Food,133
772
+ 0.0,0.0,0.0,0.20369590803657825,0.0,0.0,0.0,210.58,9/26/2022,Rem US South Atlantic SMM Food,134
773
+ 0.0,0.0,0.0,0.0,0.014305441752248528,0.0,0.0,213.12,9/27/2021,Rem US South Atlantic SMM Food,135
774
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.5802775024777007,234.028,9/4/2023,Rem US South Atlantic SMM Food,136
775
+ 0.0,0.0,0.0,0.17991998108708984,0.0,0.0,0.0,215.63,9/5/2022,Rem US South Atlantic SMM Food,137
776
+ 0.0,0.0,0.0,0.0,0.01699123014193431,0.0,0.0,279.36,9/6/2021,Rem US South Atlantic SMM Food,138
777
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.9940535183349851,402.383,8/7/2023,Rem US South Central SMM Food,124
778
+ 0.0,0.014466126242031146,0.0,0.0,0.09628013229649275,0.0,0.0,349.19,8/8/2022,Rem US South Central SMM Food,125
779
+ 0.0,0.0,0.0,0.0,0.026810254761435028,0.0,0.0,321.57,8/9/2021,Rem US South Central SMM Food,126
780
+ 0.0,0.0,0.0887623135688707,0.0,0.0,0.8841922317358683,0.8275520317145688,406.505,9/11/2023,Rem US South Central SMM Food,127
781
+ 0.0,0.0,0.0,0.23375662511916412,0.0,0.0,0.0,389.86,9/12/2022,Rem US South Central SMM Food,128
782
+ 0.0,0.0,0.0,0.0,0.023796629465592297,0.0,0.0,338.41,9/13/2021,Rem US South Central SMM Food,129
783
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.9340931615460852,374.323,9/18/2023,Rem US South Central SMM Food,130
784
+ 0.0,0.0,0.0,0.24366733338763769,0.0,0.0,0.0,410.27,9/19/2022,Rem US South Central SMM Food,131
785
+ 0.0,0.0,0.0,0.0,0.023312915388960728,0.0,0.0,322.93,9/20/2021,Rem US South Central SMM Food,132
786
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.8875123885034688,376.732,9/25/2023,Rem US South Central SMM Food,133
787
+ 0.0,0.0,0.0,0.2768828031055804,0.0,0.0,0.0,415.53,9/26/2022,Rem US South Central SMM Food,134
788
+ 0.0,0.0,0.0,0.0,0.021042799453873943,0.0,0.0,312.75,9/27/2021,Rem US South Central SMM Food,135
789
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.7715559960356789,385.963,9/4/2023,Rem US South Central SMM Food,136
790
+ 0.0,0.0,0.0,0.24456430760086398,0.0,0.0,0.0,384.02,9/5/2022,Rem US South Central SMM Food,137
791
+ 0.0,0.0,0.0,0.0,0.021850639075460684,0.0,0.0,348.91,9/6/2021,Rem US South Central SMM Food,138
792
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.4821605550049554,81.439,8/7/2023,Rem US West North Central SMM Food,124
793
+ 0.0,0.005221576383686008,0.0,0.0,0.032486163159352294,0.0,0.0,85.9,8/8/2022,Rem US West North Central SMM Food,125
794
+ 0.0,0.0,0.0,0.0,0.010447481783001583,0.0,0.0,67.85,8/9/2021,Rem US West North Central SMM Food,126
795
+ 0.0,0.0,0.04495249924795993,0.0,0.0,0.32640646345165913,0.42170465807730423,81.258,9/11/2023,Rem US West North Central SMM Food,127
796
+ 0.0,0.0,0.0,0.08643118883692774,0.0,0.0,0.0,90.01,9/12/2022,Rem US West North Central SMM Food,128
797
+ 0.0,0.0,0.0,0.0,0.006995915865349195,0.0,0.0,80.77,9/13/2021,Rem US West North Central SMM Food,129
798
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.4405351833498513,77.838,9/18/2023,Rem US West North Central SMM Food,130
799
+ 0.0,0.0,0.0,0.09009565954761295,0.0,0.0,0.0,77.07,9/19/2022,Rem US West North Central SMM Food,131
800
+ 0.0,0.0,0.0,0.0,0.007515506433597942,0.0,0.0,73.56,9/20/2021,Rem US West North Central SMM Food,132
801
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.4400396432111001,78.46,9/25/2023,Rem US West North Central SMM Food,133
802
+ 0.0,0.0,0.0,0.10237703355668529,0.0,0.0,0.0,82.7,9/26/2022,Rem US West North Central SMM Food,134
803
+ 0.0,0.0,0.0,0.0,0.007104782460601314,0.0,0.0,74.24,9/27/2021,Rem US West North Central SMM Food,135
804
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.38503468780971256,87.813,9/4/2023,Rem US West North Central SMM Food,136
805
+ 0.0,0.0,0.0,0.09042731448975182,0.0,0.0,0.0,85.04,9/5/2022,Rem US West North Central SMM Food,137
806
+ 0.0,0.0,0.0,0.0,0.007015091231558375,0.0,0.0,87.6,9/6/2021,Rem US West North Central SMM Food,138
807
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04112983151635283,43.858,8/7/2023,Richmond/Petersburg SMM Food,124
808
+ 0.0,0.0009487736279887459,0.0,0.0,0.007115916544206644,0.0,0.0,41.87,8/8/2022,Richmond/Petersburg SMM Food,125
809
+ 0.0,0.0,0.0,0.0,0.0012606256882035066,0.0,0.0,34.56,8/9/2021,Richmond/Petersburg SMM Food,126
810
+ 0.0,0.0,0.005540418423986577,0.0,0.0,0.04781667750388989,0.03964321110009911,41.396,9/11/2023,Richmond/Petersburg SMM Food,127
811
+ 0.0,0.0,0.0,0.01266418225172223,0.0,0.0,0.0,36.0,9/12/2022,Richmond/Petersburg SMM Food,128
812
+ 0.0,0.0,0.0,0.0,0.0013101105042271969,0.0,0.0,35.96,9/13/2021,Richmond/Petersburg SMM Food,129
813
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04162537165510406,37.841,9/18/2023,Richmond/Petersburg SMM Food,130
814
+ 0.0,0.0,0.0,0.013201112554278954,0.0,0.0,0.0,34.82,9/19/2022,Richmond/Petersburg SMM Food,131
815
+ 0.0,0.0,0.0,0.0,0.00111155267993214,0.0,0.0,33.78,9/20/2021,Richmond/Petersburg SMM Food,132
816
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0421209117938553,52.209,9/25/2023,Richmond/Petersburg SMM Food,133
817
+ 0.0,0.0,0.0,0.015000619892522049,0.0,0.0,0.0,37.32,9/26/2022,Richmond/Petersburg SMM Food,134
818
+ 0.0,0.0,0.0,0.0,0.0012204192751842583,0.0,0.0,33.61,9/27/2021,Richmond/Petersburg SMM Food,135
819
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.03617443012884043,37.615,9/4/2023,Richmond/Petersburg SMM Food,136
820
+ 0.0,0.0,0.0,0.013249707732199589,0.0,0.0,0.0,38.38,9/5/2022,Richmond/Petersburg SMM Food,137
821
+ 0.0,0.0,0.0,0.0,0.0012822752952138712,0.0,0.0,47.08,9/6/2021,Richmond/Petersburg SMM Food,138
822
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11793855302279485,26.418,8/7/2023,Sacramento/Stockton/Modesto SMM Food,124
823
+ 0.0,0.0036908304998685493,0.0,0.0,0.006869111024288489,0.0,0.0,24.42,8/8/2022,Sacramento/Stockton/Modesto SMM Food,125
824
+ 0.0,0.0,0.0,0.0,0.00287321213037551,0.0,0.0,23.32,8/9/2021,Sacramento/Stockton/Modesto SMM Food,126
825
+ 0.0,0.0,0.017499367285692864,0.0,0.0,0.09899835674878281,0.08275520317145689,27.508,9/11/2023,Sacramento/Stockton/Modesto SMM Food,127
826
+ 0.0,0.0,0.0,0.029183182904838144,0.0,0.0,0.0,25.44,9/12/2022,Sacramento/Stockton/Modesto SMM Food,128
827
+ 0.0,0.0,0.0,0.0,0.0019026911761108865,0.0,0.0,24.91,9/13/2021,Sacramento/Stockton/Modesto SMM Food,129
828
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11298315163528246,22.085,9/18/2023,Sacramento/Stockton/Modesto SMM Food,130
829
+ 0.0,0.0,0.0,0.030420478364843156,0.0,0.0,0.0,24.71,9/19/2022,Sacramento/Stockton/Modesto SMM Food,131
830
+ 0.0,0.0,0.0,0.0,0.0023127965889072188,0.0,0.0,23.73,9/20/2021,Sacramento/Stockton/Modesto SMM Food,132
831
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.07879088206144698,27.12,9/25/2023,Sacramento/Stockton/Modesto SMM Food,133
832
+ 0.0,0.0,0.0,0.034567240528453246,0.0,0.0,0.0,26.42,9/26/2022,Sacramento/Stockton/Modesto SMM Food,134
833
+ 0.0,0.0,0.0,0.0,0.0016187720441749643,0.0,0.0,22.87,9/27/2021,Sacramento/Stockton/Modesto SMM Food,135
834
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10257680872150644,30.477,9/4/2023,Sacramento/Stockton/Modesto SMM Food,136
835
+ 0.0,0.0,0.0,0.030532460487995166,0.0,0.0,0.0,25.38,9/5/2022,Sacramento/Stockton/Modesto SMM Food,137
836
+ 0.0,0.0,0.0,0.0,0.0018699074854951917,0.0,0.0,25.66,9/6/2021,Sacramento/Stockton/Modesto SMM Food,138
837
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13280475718533202,31.866,8/7/2023,Salt Lake City SMM Food,124
838
+ 0.0,0.0,0.0,0.0,0.005755702663755461,0.0,0.0,30.89,8/8/2022,Salt Lake City SMM Food,125
839
+ 0.0,0.0,0.0,0.0,0.002216919757861319,0.0,0.0,30.55,8/9/2021,Salt Lake City SMM Food,126
840
+ 0.0,0.0,0.0,0.0,0.0,0.0020036799212335816,0.12338949454905847,35.521,9/11/2023,Salt Lake City SMM Food,127
841
+ 0.0,0.0,0.0,0.024569078193799245,0.0,0.0,0.0,28.16,9/12/2022,Salt Lake City SMM Food,128
842
+ 0.0,0.0,0.0,0.0,0.0018668146844937111,0.0,0.0,34.69,9/13/2021,Salt Lake City SMM Food,129
843
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.12091179385530228,39.734,9/18/2023,Salt Lake City SMM Food,130
844
+ 0.0,0.0,0.0,0.0256107469124291,0.0,0.0,0.0,20.08,9/19/2022,Salt Lake City SMM Food,131
845
+ 0.0,0.0,0.0,0.0,0.002090114916800613,0.0,0.0,30.04,9/20/2021,Salt Lake City SMM Food,132
846
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.11446977205153618,36.76,9/25/2023,Salt Lake City SMM Food,133
847
+ 0.0,0.0,0.0,0.02910187138286449,0.0,0.0,0.0,28.2,9/26/2022,Salt Lake City SMM Food,134
848
+ 0.0,0.0,0.0,0.0,0.0013169146664304542,0.0,0.0,31.92,9/27/2021,Salt Lake City SMM Food,135
849
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.12933597621407333,38.673,9/4/2023,Salt Lake City SMM Food,136
850
+ 0.0,0.0,0.0,0.025705023731608795,0.0,0.0,0.0,29.76,9/5/2022,Salt Lake City SMM Food,137
851
+ 0.0,0.0,0.0,0.0,0.0014486679890935294,0.0,0.0,30.71,9/6/2021,Salt Lake City SMM Food,138
852
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06739345887016848,27.155,8/7/2023,San Diego SMM Food,124
853
+ 0.0,0.0020376249453456933,0.0,0.0,0.006930348484117806,0.0,0.0,23.05,8/8/2022,San Diego SMM Food,125
854
+ 0.0,0.0,0.0,0.0,0.0011183568421353973,0.0,0.0,18.52,8/9/2021,San Diego SMM Food,126
855
+ 0.0,0.0,0.008977334498881523,0.0,0.0,0.06158408920762952,0.058969276511397425,31.97,9/11/2023,San Diego SMM Food,127
856
+ 0.0,0.0,0.0,0.020400456588260608,0.0,0.0,0.0,26.77,9/12/2022,San Diego SMM Food,128
857
+ 0.0,0.0,0.0,0.0,0.0014214513402804997,0.0,0.0,22.06,9/13/2021,San Diego SMM Food,129
858
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.055996035678889985,29.921,9/18/2023,San Diego SMM Food,130
859
+ 0.0,0.0,0.0,0.021265385972826126,0.0,0.0,0.0,23.46,9/19/2022,San Diego SMM Food,131
860
+ 0.0,0.0,0.0,0.0,0.0010942329943238486,0.0,0.0,18.64,9/20/2021,San Diego SMM Food,132
861
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.059960356788899896,29.193,9/25/2023,San Diego SMM Food,133
862
+ 0.0,0.0,0.0,0.02416417332539202,0.0,0.0,0.0,27.29,9/26/2022,San Diego SMM Food,134
863
+ 0.0,0.0,0.0,0.0,0.001024335691690386,0.0,0.0,21.74,9/27/2021,San Diego SMM Food,135
864
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.06739345887016848,34.927,9/4/2023,San Diego SMM Food,136
865
+ 0.0,0.0,0.0,0.021343666889227886,0.0,0.0,0.0,24.65,9/5/2022,San Diego SMM Food,137
866
+ 0.0,0.0,0.0,0.0,0.0013292858704363766,0.0,0.0,22.7,9/6/2021,San Diego SMM Food,138
867
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.10852329038652131,37.539,8/7/2023,San Francisco/Oakland/San Jose SMM Food,124
868
+ 0.0,0.007054716784551935,0.0,0.0,0.010025623726399625,0.0,0.0,43.76,8/8/2022,San Francisco/Oakland/San Jose SMM Food,125
869
+ 0.0,0.0,0.0,0.0,0.0026325922124603163,0.0,0.0,35.86,8/9/2021,San Francisco/Oakland/San Jose SMM Food,126
870
+ 0.0,0.0,0.03269606409616145,0.0,0.0,0.08548204542111204,0.08919722497522299,39.91,9/11/2023,San Francisco/Oakland/San Jose SMM Food,127
871
+ 0.0,0.0,0.0,0.047694445908865776,0.0,0.0,0.0,39.0,9/12/2022,San Francisco/Oakland/San Jose SMM Food,128
872
+ 0.0,0.0,0.0,0.0,0.0020171248131656697,0.0,0.0,39.68,9/13/2021,San Francisco/Oakland/San Jose SMM Food,129
873
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09712586719524281,39.834,9/18/2023,San Francisco/Oakland/San Jose SMM Food,130
874
+ 0.0,0.0,0.0,0.04971657356674364,0.0,0.0,0.0,41.01,9/19/2022,San Francisco/Oakland/San Jose SMM Food,131
875
+ 0.0,0.0,0.0,0.0,0.002183517507045328,0.0,0.0,37.16,9/20/2021,San Francisco/Oakland/San Jose SMM Food,132
876
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.0817641228939544,38.973,9/25/2023,San Francisco/Oakland/San Jose SMM Food,133
877
+ 0.0,0.0,0.0,0.056493679565598955,0.0,0.0,0.0,40.14,9/26/2022,San Francisco/Oakland/San Jose SMM Food,134
878
+ 0.0,0.0,0.0,0.0,0.0021674349418376285,0.0,0.0,36.73,9/27/2021,San Francisco/Oakland/San Jose SMM Food,135
879
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09068384539147671,45.739,9/4/2023,San Francisco/Oakland/San Jose SMM Food,136
880
+ 0.0,0.0,0.0,0.049899587365703414,0.0,0.0,0.0,42.29,9/5/2022,San Francisco/Oakland/San Jose SMM Food,137
881
+ 0.0,0.0,0.0,0.0,0.0014294926228843492,0.0,0.0,39.55,9/6/2021,San Francisco/Oakland/San Jose SMM Food,138
882
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.176412289395441,54.498,8/7/2023,Seattle/Tacoma SMM Food,124
883
+ 0.0,0.006289632662621285,0.0,0.0,0.014541731748761649,0.0,0.0,38.02,8/8/2022,Seattle/Tacoma SMM Food,125
884
+ 0.0,0.0,0.0,0.0,0.0025020760101978337,0.0,0.0,44.59,8/9/2021,Seattle/Tacoma SMM Food,126
885
+ 0.0,0.0,0.04408198262886745,0.0,0.0,0.13501876631890186,0.14073339940535184,56.797,9/11/2023,Seattle/Tacoma SMM Food,127
886
+ 0.0,0.0,0.0,0.03795459470136038,0.0,0.0,0.0,45.0,9/12/2022,Seattle/Tacoma SMM Food,128
887
+ 0.0,0.0,0.0,0.0,0.0019701142379431645,0.0,0.0,47.26,9/13/2021,Seattle/Tacoma SMM Food,129
888
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.15163528245787908,53.988,9/18/2023,Seattle/Tacoma SMM Food,130
889
+ 0.0,0.0,0.0,0.03956377652701973,0.0,0.0,0.0,42.63,9/19/2022,Seattle/Tacoma SMM Food,131
890
+ 0.0,0.0,0.0,0.0,0.0010663977853105227,0.0,0.0,44.68,9/20/2021,Seattle/Tacoma SMM Food,132
891
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14767096134786917,57.516,9/25/2023,Seattle/Tacoma SMM Food,133
892
+ 0.0,0.0,0.0,0.04495690578008078,0.0,0.0,0.0,43.4,9/26/2022,Seattle/Tacoma SMM Food,134
893
+ 0.0,0.0,0.0,0.0,0.002235476563870203,0.0,0.0,47.9,9/27/2021,Seattle/Tacoma SMM Food,135
894
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13429137760158572,69.688,9/4/2023,Seattle/Tacoma SMM Food,136
895
+ 0.0,0.0,0.0,0.039709416436374406,0.0,0.0,0.0,41.17,9/5/2022,Seattle/Tacoma SMM Food,137
896
+ 0.0,0.0,0.0,0.0,0.0016051637197684492,0.0,0.0,42.94,9/6/2021,Seattle/Tacoma SMM Food,138
897
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13875123885034688,41.124,8/7/2023,St. Louis SMM Food,124
898
+ 0.0,0.0016459850550708866,0.0,0.0,0.010519234766235935,0.0,0.0,33.68,8/8/2022,St. Louis SMM Food,125
899
+ 0.0,0.0,0.0,0.0,0.0028880575751826162,0.0,0.0,35.24,8/9/2021,St. Louis SMM Food,126
900
+ 0.0,0.0,0.013647236303775618,0.0,0.0,0.11378140992305427,0.09266600594648167,41.021,9/11/2023,St. Louis SMM Food,127
901
+ 0.0,0.0,0.0,0.028725686548902455,0.0,0.0,0.0,46.76,9/12/2022,St. Louis SMM Food,128
902
+ 0.0,0.0,0.0,0.0,0.002591148679040476,0.0,0.0,37.37,9/13/2021,St. Louis SMM Food,129
903
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09266600594648167,38.672,9/18/2023,St. Louis SMM Food,130
904
+ 0.0,0.0,0.0,0.029943585281161426,0.0,0.0,0.0,41.99,9/19/2022,St. Louis SMM Food,131
905
+ 0.0,0.0,0.0,0.0,0.0026987781538920018,0.0,0.0,33.82,9/20/2021,St. Louis SMM Food,132
906
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09217046580773042,52.498,9/25/2023,St. Louis SMM Food,133
907
+ 0.0,0.0,0.0,0.034025339850661744,0.0,0.0,0.0,38.58,9/26/2022,St. Louis SMM Food,134
908
+ 0.0,0.0,0.0,0.0,0.003129296053298106,0.0,0.0,35.39,9/27/2021,St. Louis SMM Food,135
909
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.09514370664023786,44.922,9/4/2023,St. Louis SMM Food,136
910
+ 0.0,0.0,0.0,0.03005381188828102,0.0,0.0,0.0,51.7,9/5/2022,St. Louis SMM Food,137
911
+ 0.0,0.0,0.0,0.0,0.0020622797077872873,0.0,0.0,45.12,9/6/2021,St. Louis SMM Food,138
912
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.18434093161546083,392.534,8/7/2023,Tampa/Ft. Myers SMM Food,124
913
+ 0.0,0.002718951273633502,0.0,0.0,0.014108739608554358,0.0,0.0,249.67,8/8/2022,Tampa/Ft. Myers SMM Food,125
914
+ 0.0,0.0,0.0,0.0,0.005458175207413023,0.0,0.0,94.56,8/9/2021,Tampa/Ft. Myers SMM Food,126
915
+ 0.0,0.0,0.018081680874809502,0.0,0.0,0.19101996581778166,0.1377601585728444,112.223,9/11/2023,Tampa/Ft. Myers SMM Food,127
916
+ 0.0,0.0,0.0,0.05247086431152936,0.0,0.0,0.0,92.25,9/12/2022,Tampa/Ft. Myers SMM Food,128
917
+ 0.0,0.0,0.0,0.0,0.004128889336976647,0.0,0.0,93.22,9/13/2021,Tampa/Ft. Myers SMM Food,129
918
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13181367690782952,105.58,9/18/2023,Tampa/Ft. Myers SMM Food,130
919
+ 0.0,0.0,0.0,0.05469550040636205,0.0,0.0,0.0,85.97,9/19/2022,Tampa/Ft. Myers SMM Food,131
920
+ 0.0,0.0,0.0,0.0,0.004280436586049198,0.0,0.0,86.54,9/20/2021,Tampa/Ft. Myers SMM Food,132
921
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.13875123885034688,98.576,9/25/2023,Tampa/Ft. Myers SMM Food,133
922
+ 0.0,0.0,0.0,0.062151307947871305,0.0,0.0,0.0,92.27,9/26/2022,Tampa/Ft. Myers SMM Food,134
923
+ 0.0,0.0,0.0,0.0,0.004065796196546442,0.0,0.0,83.16,9/27/2021,Tampa/Ft. Myers SMM Food,135
924
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.18533201189296333,155.563,9/4/2023,Tampa/Ft. Myers SMM Food,136
925
+ 0.0,0.0,0.0,0.0548968423482816,0.0,0.0,0.0,131.88,9/5/2022,Tampa/Ft. Myers SMM Food,137
926
+ 0.0,0.0,0.0,0.0,0.004370127815092137,0.0,0.0,85.36,9/6/2021,Tampa/Ft. Myers SMM Food,138
927
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.033201189296333006,14.745,8/7/2023,Tucson/Sierra Vista SMM Food,124
928
+ 0.0,0.0008540406751789106,0.0,0.0,0.0032796061819700653,0.0,0.0,11.07,8/8/2022,Tucson/Sierra Vista SMM Food,125
929
+ 0.0,0.0,0.0,0.0,0.0014684619155030051,0.0,0.0,10.23,8/9/2021,Tucson/Sierra Vista SMM Food,126
930
+ 0.0,0.0,0.004325155281482285,0.0,0.0,0.03514997428852929,0.033201189296333006,13.086,9/11/2023,Tucson/Sierra Vista SMM Food,127
931
+ 0.0,0.0,0.0,0.008438669343202216,0.0,0.0,0.0,15.07,9/12/2022,Tucson/Sierra Vista SMM Food,128
932
+ 0.0,0.0,0.0,0.0,0.0005659825832709562,0.0,0.0,12.89,9/13/2021,Tucson/Sierra Vista SMM Food,129
933
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.04558969276511397,13.845,9/18/2023,Tucson/Sierra Vista SMM Food,130
934
+ 0.0,0.0,0.0,0.008796448244863359,0.0,0.0,0.0,12.4,9/19/2022,Tucson/Sierra Vista SMM Food,131
935
+ 0.0,0.0,0.0,0.0,0.0005641269026700677,0.0,0.0,11.2,9/20/2021,Tucson/Sierra Vista SMM Food,132
936
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.028741328047571853,14.286,9/25/2023,Tucson/Sierra Vista SMM Food,133
937
+ 0.0,0.0,0.0,0.009995534545410896,0.0,0.0,0.0,14.46,9/26/2022,Tucson/Sierra Vista SMM Food,134
938
+ 0.0,0.0,0.0,0.0,0.0005597969812679949,0.0,0.0,13.72,9/27/2021,Tucson/Sierra Vista SMM Food,135
939
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.036669970267591674,14.191,9/4/2023,Tucson/Sierra Vista SMM Food,136
940
+ 0.0,0.0,0.0,0.008828829229391247,0.0,0.0,0.0,13.52,9/5/2022,Tucson/Sierra Vista SMM Food,137
941
+ 0.0,0.0,0.0,0.0,0.0008028911399843727,0.0,0.0,12.27,9/6/2021,Tucson/Sierra Vista SMM Food,138
942
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.17443012884043607,117.859,8/7/2023,Washington DC/Hagerstown SMM Food,124
943
+ 0.0,0.008450294918628531,0.0,0.0,0.01769886301107308,0.0,0.0,121.38,8/8/2022,Washington DC/Hagerstown SMM Food,125
944
+ 0.0,0.0,0.0,0.0,0.005262091623919152,0.0,0.0,114.34,8/9/2021,Washington DC/Hagerstown SMM Food,126
945
+ 0.0,0.0,0.05609156745484475,0.0,0.0,0.19144403459184595,0.155599603567889,160.362,9/11/2023,Washington DC/Hagerstown SMM Food,127
946
+ 0.0,0.0,0.0,0.05177122745529417,0.0,0.0,0.0,144.07,9/12/2022,Washington DC/Hagerstown SMM Food,128
947
+ 0.0,0.0,0.0,0.0,0.0036185771717323423,0.0,0.0,123.88,9/13/2021,Washington DC/Hagerstown SMM Food,129
948
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.14519326065411298,165.895,9/18/2023,Washington DC/Hagerstown SMM Food,130
949
+ 0.0,0.0,0.0,0.05396620066002498,0.0,0.0,0.0,138.59,9/19/2022,Washington DC/Hagerstown SMM Food,131
950
+ 0.0,0.0,0.0,0.0,0.0035734222771107256,0.0,0.0,116.24,9/20/2021,Washington DC/Hagerstown SMM Food,132
951
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1620416253716551,159.074,9/25/2023,Washington DC/Hagerstown SMM Food,133
952
+ 0.0,0.0,0.0,0.06132259383502524,0.0,0.0,0.0,132.64,9/26/2022,Washington DC/Hagerstown SMM Food,134
953
+ 0.0,0.0,0.0,0.0,0.002285579940094189,0.0,0.0,113.16,9/27/2021,Washington DC/Hagerstown SMM Food,135
954
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.1337958374628345,117.933,9/4/2023,Washington DC/Hagerstown SMM Food,136
955
+ 0.0,0.0,0.0,0.054164857947246375,0.0,0.0,0.0,118.44,9/5/2022,Washington DC/Hagerstown SMM Food,137
956
+ 0.0,0.0,0.0,0.0,0.0032740391401673997,0.0,0.0,130.79,9/6/2021,Washington DC/Hagerstown SMM Food,138
957
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.024281466798810703,3.773,8/7/2023,Yakima/Pasco/Richland/Kennewick SMM Food,124
958
+ 0.0,0.00041792250827997425,0.0,0.0,0.0016707311009998389,0.0,0.0,3.86,8/8/2022,Yakima/Pasco/Richland/Kennewick SMM Food,125
959
+ 0.0,0.0,0.0,0.0,0.00020907334770009088,0.0,0.0,3.64,8/9/2021,Yakima/Pasco/Richland/Kennewick SMM Food,126
960
+ 0.0,0.0,0.0024254626885814802,0.0,0.0,0.023424539263820505,0.022794846382556987,4.202,9/11/2023,Yakima/Pasco/Richland/Kennewick SMM Food,127
961
+ 0.0,0.0,0.0,0.0051309930988511126,0.0,0.0,0.0,3.78,9/12/2022,Yakima/Pasco/Richland/Kennewick SMM Food,128
962
+ 0.0,0.0,0.0,0.0,0.00041010541279633213,0.0,0.0,3.71,9/13/2021,Yakima/Pasco/Richland/Kennewick SMM Food,129
963
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.018334985133795837,4.43,9/18/2023,Yakima/Pasco/Richland/Kennewick SMM Food,130
964
+ 0.0,0.0,0.0,0.005348534635223674,0.0,0.0,0.0,3.76,9/19/2022,Yakima/Pasco/Richland/Kennewick SMM Food,131
965
+ 0.0,0.0,0.0,0.0,0.0005270132906523001,0.0,0.0,3.12,9/20/2021,Yakima/Pasco/Richland/Kennewick SMM Food,132
966
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.02180376610505451,3.573,9/25/2023,Yakima/Pasco/Richland/Kennewick SMM Food,133
967
+ 0.0,0.0,0.0,0.006077619195352498,0.0,0.0,0.0,2.75,9/26/2022,Yakima/Pasco/Richland/Kennewick SMM Food,134
968
+ 0.0,0.0,0.0,0.0,0.000404538370993667,0.0,0.0,3.74,9/27/2021,Yakima/Pasco/Richland/Kennewick SMM Food,135
969
+ 0.0,0.0,0.0,0.0,0.0,0.0,0.015857284440039643,4.901,9/4/2023,Yakima/Pasco/Richland/Kennewick SMM Food,136
970
+ 0.0,0.0,0.0,0.005368223354373092,0.0,0.0,0.0,3.93,9/5/2022,Yakima/Pasco/Richland/Kennewick SMM Food,137
971
+ 0.0,0.0,0.0,0.0,0.0004614459094209107,0.0,0.0,3.81,9/6/2021,Yakima/Pasco/Richland/Kennewick SMM Food,138
Test/X_train_test_tuned_trend.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/X_train_tuned_trend.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/merged_df_contri.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/output_df.csv ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Date,const,Adwords,Display,Leaflet,Radio,Social,TV
2
+ 2021-01-10,8,2497051.7887775633,3789105.5032540346,18004651.43320489,1292082.132038209,3207766.2449067133,12136837.945707258
3
+ 2021-01-17,8,2436585.107323333,3943997.9027450895,14992237.678387208,1412748.2556043984,3186385.801461054,12319471.302625012
4
+ 2021-01-24,8,3208658.2423931086,3920535.626929778,20516775.821815472,1623166.832436196,3702181.3553994647,11993648.323326528
5
+ 2021-01-31,8,3091571.542195455,3412803.308025336,18120413.17616225,1741087.6849504304,3688530.232614378,10414560.515561096
6
+ 2021-02-07,8,2563623.956323993,3706653.511565123,21591676.226303495,1587286.924784932,3906389.9375045625,11579657.08824359
7
+ 2021-02-14,8,2622894.609387354,3429682.427333025,17198617.147999987,1560795.2469940467,3111000.727481837,9848429.95615324
8
+ 2021-02-21,8,2656613.935511562,3444153.1274028346,19488493.257283263,1607408.217352843,3402395.5616670665,8688214.114532234
9
+ 2021-02-28,8,2909859.835241047,3920077.9204963604,19631488.07062167,1355662.718502929,3783968.132894796,8854161.67240211
10
+ 2021-03-07,8,2424036.848043983,3659676.861707891,19938290.684074186,1489271.323810985,3597150.818205559,11244075.06651373
11
+ 2021-03-14,8,2588612.087837011,3802983.9864937593,22344497.478900626,1697573.317263135,3683522.079451671,10976155.897882225
12
+ 2021-03-21,8,3096879.5049923304,4162782.123589754,22396541.853453066,1672859.7786456633,4194221.4149347655,11410252.37286356
13
+ 2021-03-28,8,2994702.478793688,4076813.161072533,26120155.292132232,1842012.1027498585,4256358.188815031,12116334.891592091
14
+ 2021-04-04,8,2750958.2871479257,3888002.9834341425,24250174.944121186,1656296.505471467,4930707.0502786385,12388195.801390275
15
+ 2021-04-11,8,2838929.45457477,3147773.969083207,18871843.208029874,1490507.1422076207,3581460.8147823466,8917089.581972301
16
+ 2021-04-18,8,3387272.2348094946,3411832.5865720003,24111961.476073656,1418740.3119123313,3942665.9267489584,8997401.166524258
17
+ 2021-04-25,8,3772864.6835569376,3779354.9570643622,22253811.814194545,1742013.720436426,4599005.8821827015,11115936.934640566
18
+ 2021-05-02,8,2988103.91213596,3530083.896188386,22091285.73079317,1572557.598931841,4018422.9651435013,9742889.786318844
19
+ 2021-05-09,8,2759096.76903878,3294272.8226140905,21396328.190967508,1365168.798864664,3824461.8487072433,10898249.438382812
20
+ 2021-05-16,8,2752323.5060425242,3492510.443183998,23037191.60159507,1299692.857943448,3904934.5159167745,9156542.62628656
21
+ 2021-05-23,8,2610869.764276535,3399640.7163864467,23614891.869279325,1499793.4042826125,3824054.951296782,10333001.40366532
22
+ 2021-05-30,8,2371777.893465375,3234902.0753558916,21389721.406606667,1339169.7229029953,3404500.0917484593,8856962.280425545
23
+ 2021-06-06,8,1992918.3179443113,3517907.6512622023,24948696.592354715,1467678.6642219245,3759754.52930611,8029645.270896632
24
+ 2021-06-13,8,1949713.0478574287,3177655.7573243477,28771504.436842162,1845231.4642739764,3868355.427407118,6193343.834728802
25
+ 2021-06-20,8,1848120.7654171158,3488683.325124982,26361846.25181811,1616955.8879452758,3941963.8534408594,7784062.636278214
26
+ 2021-06-27,8,1931212.5092253732,3346332.208493428,24988209.027232967,1507516.6952286933,3691095.61321228,7953973.531973469
27
+ 2021-07-04,8,1787067.4249421065,3329901.6523965634,28272304.926240776,1654441.821748254,3672542.980609377,6092191.585602031
28
+ 2021-07-11,8,2186662.3059630264,3325026.4423868936,33291305.240523566,1550873.918350416,3695990.2392551387,5496431.135240906
29
+ 2021-07-18,8,1769073.2323149801,3337710.053251884,29716042.806051172,1373017.2525014426,3346951.0327187586,5295618.879933211
30
+ 2021-07-25,8,2525479.1235298924,3240813.0057125,34501825.75282529,1479781.6979793545,3452402.661826697,5270156.697035578
31
+ 2021-08-01,8,2151676.3195643313,2766592.076618696,28948953.344397295,1509943.8257866495,3235548.825798456,4530079.040703059
32
+ 2021-08-08,8,2181980.397818158,2819358.64838655,29031291.619630516,1311305.1502126034,3139597.352034431,3496600.8712797407
33
+ 2021-08-15,8,2254884.040288535,3013291.8018949786,27937643.896009285,1523433.9753917407,3266577.4423328713,2685555.9886053978
34
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Test/x_test_contribution.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/x_test_to_save.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/x_train_contribution.csv ADDED
The diff for this file is too large to render. See raw diff
 
Test/x_train_to_save.csv ADDED
The diff for this file is too large to render. See raw diff
 
Transformation_functions.py ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import streamlit as st
2
+ import pandas as pd
3
+ import plotly.express as px
4
+ import plotly.graph_objects as go
5
+ from Eda_functions import format_numbers,line_plot,summary
6
+ import numpy as np
7
+ import re
8
+
9
+ def sanitize_key(key, prefix=""):
10
+ # Use regular expressions to remove non-alphanumeric characters and spaces
11
+ key = re.sub(r'[^a-zA-Z0-9]', '', key)
12
+ return f"{prefix}{key}"
13
+
14
+
15
+ def check_box(options, ad_stock_value,lag_value,num_columns=4, prefix=""):
16
+ num_rows = -(-len(options) // num_columns) # Ceiling division to calculate rows
17
+
18
+ selected_options = []
19
+ adstock_info = {} # Store adstock and lag info for each selected option
20
+ if ad_stock_value!=0:
21
+ for row in range(num_rows):
22
+ cols = st.columns(num_columns)
23
+ for col in cols:
24
+ if options:
25
+ option = options.pop(0)
26
+ key = sanitize_key(f"{option}_{row}", prefix=prefix)
27
+ selected = col.checkbox(option, key=key)
28
+ if selected:
29
+ selected_options.append(option)
30
+
31
+ # Input minimum and maximum adstock values
32
+ adstock = col.slider('Select Adstock Range', 0.0, 1.0, ad_stock_value, step=0.05, format="%.2f",key= f"adstock_{key}" )
33
+
34
+ # Input minimum and maximum lag values
35
+ lag = col.slider('Select Lag Range', 0, 7, lag_value, step=1,key=f"lag_{key}" )
36
+
37
+ # Create a dictionary to store adstock and lag info for the option
38
+ option_info = {
39
+ 'adstock': adstock,
40
+ 'lag': lag}
41
+ # Append the dictionary to the adstock_info list
42
+ adstock_info[option]=option_info
43
+
44
+ else:adstock_info[option]={
45
+ 'adstock': ad_stock_value,
46
+ 'lag': lag_value}
47
+
48
+ return selected_options, adstock_info
49
+ else:
50
+ for row in range(num_rows):
51
+ cols = st.columns(num_columns)
52
+ for col in cols:
53
+ if options:
54
+ option = options.pop(0)
55
+ key = sanitize_key(f"{option}_{row}", prefix=prefix)
56
+ selected = col.checkbox(option, key=key)
57
+ if selected:
58
+ selected_options.append(option)
59
+
60
+ # Input minimum and maximum lag values
61
+ lag = col.slider('Select Lag Range', 0, 7, lag_value, step=1,key=f"lag_{key}" )
62
+
63
+ # dictionary to store adstock and lag info for the option
64
+ option_info = {
65
+ 'lag': lag}
66
+ # Append the dictionary to the adstock_info list
67
+ adstock_info[option]=option_info
68
+
69
+ else:adstock_info[option]={
70
+ 'lag': lag_value}
71
+
72
+ return selected_options, adstock_info
73
+
74
+ def apply_lag(X, features,lag_dict):
75
+ #lag_data=pd.DataFrame()
76
+ for col in features:
77
+ for lag in range(lag_dict[col]['lag'][0], lag_dict[col]['lag'][1] + 1):
78
+ if lag>0:
79
+ X[f'{col}_lag{lag}'] = X[col].shift(periods=lag, fill_value=0)
80
+ return X
81
+
82
+ def apply_adstock(X, variable_name, decay):
83
+ values = X[variable_name].values
84
+ adstock = np.zeros(len(values))
85
+
86
+ for row in range(len(values)):
87
+ if row == 0:
88
+ adstock[row] = values[row]
89
+ else:
90
+ adstock[row] = values[row] + adstock[row - 1] * decay
91
+
92
+ return adstock
93
+
94
+ def top_correlated_features(df,target,media_data):
95
+ corr_df=df.drop(target,axis=1)
96
+ #corr_df[target]=df[target]
97
+ #st.dataframe(corr_df)
98
+ for i in media_data:
99
+ #st.write(media_data[2])
100
+ #st.dataframe(corr_df.filter(like=media_data[2]))
101
+ d=(pd.concat([corr_df.filter(like=i),df[target]],axis=1)).corr()[target]
102
+ d=d.sort_values(ascending=False)
103
+ d=d.drop(target,axis=0)
104
+ corr=pd.DataFrame({'Feature_name':d.index,"Correlation":d.values})
105
+ corr.columns = pd.MultiIndex.from_product([[i], ['Feature_name', 'Correlation']])
106
+
107
+ return corr
108
+
109
+ def top_correlated_features(df,variables,target):
110
+ correlation_df=pd.DataFrame()
111
+ for col in variables:
112
+ d=pd.concat([df.filter(like=col),df[target]],axis=1).corr()[target]
113
+ #st.dataframe(d)
114
+ d=d.sort_values(ascending=False).iloc[1:]
115
+ corr_df=pd.DataFrame({'Media_channel':d.index,'Correlation':d.values})
116
+ corr_df.columns=pd.MultiIndex.from_tuples([(col, 'Variable'), (col, 'Correlation')])
117
+ correlation_df=pd.concat([corr_df,correlation_df],axis=1)
118
+ return correlation_df
119
+
120
+ def top_correlated_feature(df,variable,target):
121
+ d=pd.concat([df.filter(like=variable),df[target]],axis=1).corr()[target]
122
+ # st.dataframe(d)
123
+ d=d.sort_values(ascending=False).iloc[1:]
124
+ # st.dataframe(d)
125
+ corr_df=pd.DataFrame({'Media_channel':d.index,'Correlation':d.values})
126
+ corr_df['Adstock']=corr_df['Media_channel'].map(lambda x:x.split('_adst')[1] if len(x.split('_adst'))>1 else '-')
127
+ corr_df['Lag']=corr_df['Media_channel'].map(lambda x:x.split('_lag')[1][0] if len(x.split('_lag'))>1 else '-' )
128
+ corr_df.drop(['Correlation'],axis=1,inplace=True)
129
+ corr_df['Correlation']=np.round(d.values,2)
130
+ sorted_corr_df= corr_df.loc[corr_df['Correlation'].abs().sort_values(ascending=False).index]
131
+ #corr_df.columns=pd.MultiIndex.from_tuples([(variable, 'Variable'), (variable, 'Correlation')])
132
+ #correlation_df=pd.concat([corr_df,correlation_df],axis=1)
133
+ return sorted_corr_df
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classes.py ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ from scipy.optimize import minimize, LinearConstraint, NonlinearConstraint
3
+ from collections import OrderedDict
4
+ import pandas as pd
5
+ from numerize.numerize import numerize
6
+
7
+
8
+ def class_to_dict(class_instance):
9
+ attr_dict = {}
10
+ if isinstance(class_instance, Channel):
11
+ attr_dict["type"] = "Channel"
12
+ attr_dict["name"] = class_instance.name
13
+ attr_dict["dates"] = class_instance.dates
14
+ attr_dict["spends"] = class_instance.actual_spends
15
+ attr_dict["conversion_rate"] = class_instance.conversion_rate
16
+ attr_dict["modified_spends"] = class_instance.modified_spends
17
+ attr_dict["modified_sales"] = class_instance.modified_sales
18
+ attr_dict["response_curve_type"] = class_instance.response_curve_type
19
+ attr_dict["response_curve_params"] = class_instance.response_curve_params
20
+ attr_dict["penalty"] = class_instance.penalty
21
+ attr_dict["bounds"] = class_instance.bounds
22
+ attr_dict["actual_total_spends"] = class_instance.actual_total_spends
23
+ attr_dict["actual_total_sales"] = class_instance.actual_total_sales
24
+ attr_dict["modified_total_spends"] = class_instance.modified_total_spends
25
+ attr_dict["modified_total_sales"] = class_instance.modified_total_sales
26
+ attr_dict["actual_mroi"] = class_instance.get_marginal_roi("actual")
27
+ attr_dict["modified_mroi"] = class_instance.get_marginal_roi("modified")
28
+
29
+ elif isinstance(class_instance, Scenario):
30
+ attr_dict["type"] = "Scenario"
31
+ attr_dict["name"] = class_instance.name
32
+ channels = []
33
+ for channel in class_instance.channels.values():
34
+ channels.append(class_to_dict(channel))
35
+ attr_dict["channels"] = channels
36
+ attr_dict["constant"] = class_instance.constant
37
+ attr_dict["correction"] = class_instance.correction
38
+ attr_dict["actual_total_spends"] = class_instance.actual_total_spends
39
+ attr_dict["actual_total_sales"] = class_instance.actual_total_sales
40
+ attr_dict["modified_total_spends"] = class_instance.modified_total_spends
41
+ attr_dict["modified_total_sales"] = class_instance.modified_total_sales
42
+
43
+ return attr_dict
44
+
45
+
46
+ def class_from_dict(attr_dict):
47
+ if attr_dict["type"] == "Channel":
48
+ return Channel.from_dict(attr_dict)
49
+ elif attr_dict["type"] == "Scenario":
50
+ return Scenario.from_dict(attr_dict)
51
+
52
+
53
+ class Channel:
54
+ def __init__(
55
+ self,
56
+ name,
57
+ dates,
58
+ spends,
59
+ response_curve_type,
60
+ response_curve_params,
61
+ bounds,
62
+ conversion_rate=1,
63
+ modified_spends=None,
64
+ penalty=True,
65
+ ):
66
+ self.name = name
67
+ self.dates = dates
68
+ self.conversion_rate = conversion_rate
69
+ self.actual_spends = spends.copy()
70
+
71
+ if modified_spends is None:
72
+ self.modified_spends = self.actual_spends.copy()
73
+ else:
74
+ self.modified_spends = modified_spends
75
+
76
+ self.response_curve_type = response_curve_type
77
+ self.response_curve_params = response_curve_params
78
+ self.bounds = bounds
79
+ self.penalty = penalty
80
+
81
+ self.upper_limit = self.actual_spends.max() + self.actual_spends.std()
82
+ self.power = np.ceil(np.log(self.actual_spends.max()) / np.log(10)) - 3
83
+ self.actual_sales = None
84
+ self.actual_sales = self.response_curve(self.actual_spends)
85
+ self.actual_total_spends = self.actual_spends.sum()
86
+ self.actual_total_sales = self.actual_sales.sum()
87
+ self.modified_sales = self.calculate_sales()
88
+ self.modified_total_spends = self.modified_spends.sum()
89
+ self.modified_total_sales = self.modified_sales.sum()
90
+ self.delta_spends = self.modified_total_spends - self.actual_total_spends
91
+ self.delta_sales = self.modified_total_sales - self.actual_total_sales
92
+
93
+ def update_penalty(self, penalty):
94
+ self.penalty = penalty
95
+
96
+ def _modify_spends(self, spends_array, total_spends):
97
+ return spends_array * total_spends / spends_array.sum()
98
+
99
+ def modify_spends(self, total_spends):
100
+ self.modified_spends = (
101
+ self.modified_spends * total_spends / self.modified_spends.sum()
102
+ )
103
+
104
+ def calculate_sales(self):
105
+ return self.response_curve(self.modified_spends)
106
+
107
+ def response_curve(self, x):
108
+ if self.penalty:
109
+ x = np.where(
110
+ x < self.upper_limit,
111
+ x,
112
+ self.upper_limit + (x - self.upper_limit) * self.upper_limit / x,
113
+ )
114
+ if self.response_curve_type == "s-curve":
115
+ if self.power >= 0:
116
+ x = x / 10**self.power
117
+ x = x.astype("float64")
118
+ K = self.response_curve_params["K"]
119
+ b = self.response_curve_params["b"]
120
+ a = self.response_curve_params["a"]
121
+ x0 = self.response_curve_params["x0"]
122
+ sales = K / (1 + b * np.exp(-a * (x - x0)))
123
+ if self.response_curve_type == "linear":
124
+ beta = self.response_curve_params["beta"]
125
+ sales = beta * x
126
+
127
+ return sales
128
+
129
+ def get_marginal_roi(self, flag):
130
+ K = self.response_curve_params["K"]
131
+ a = self.response_curve_params["a"]
132
+ # x = self.modified_total_spends
133
+ # if self.power >= 0 :
134
+ # x = x / 10**self.power
135
+ # x = x.astype('float64')
136
+ # return K*b*a*np.exp(-a*(x-x0)) / (1 + b * np.exp(-a*(x - x0)))**2
137
+ if flag == "actual":
138
+ y = self.response_curve(self.actual_spends)
139
+ # spends_array = self.actual_spends
140
+ # total_spends = self.actual_total_spends
141
+ # total_sales = self.actual_total_sales
142
+
143
+ else:
144
+ y = self.response_curve(self.modified_spends)
145
+ # spends_array = self.modified_spends
146
+ # total_spends = self.modified_total_spends
147
+ # total_sales = self.modified_total_sales
148
+
149
+ # spends_inc_1 = self._modify_spends(spends_array, total_spends+1)
150
+ mroi = a * (y) * (1 - y / K)
151
+ return mroi.sum() / len(self.modified_spends)
152
+ # spends_inc_1 = self.spends_array + 1
153
+ # new_total_sales = self.response_curve(spends_inc_1).sum()
154
+ # return (new_total_sales - total_sales) / len(self.modified_spends)
155
+
156
+ def update(self, total_spends):
157
+ self.modify_spends(total_spends)
158
+ self.modified_sales = self.calculate_sales()
159
+ self.modified_total_spends = self.modified_spends.sum()
160
+ self.modified_total_sales = self.modified_sales.sum()
161
+ self.delta_spends = self.modified_total_spends - self.actual_total_spends
162
+ self.delta_sales = self.modified_total_sales - self.actual_total_sales
163
+
164
+ def intialize(self):
165
+ self.new_spends = self.old_spends
166
+
167
+ def __str__(self):
168
+ return f"{self.name},{self.actual_total_sales}, {self.modified_total_spends}"
169
+
170
+ @classmethod
171
+ def from_dict(cls, attr_dict):
172
+ return Channel(
173
+ name=attr_dict["name"],
174
+ dates=attr_dict["dates"],
175
+ spends=attr_dict["spends"],
176
+ bounds=attr_dict["bounds"],
177
+ modified_spends=attr_dict["modified_spends"],
178
+ response_curve_type=attr_dict["response_curve_type"],
179
+ response_curve_params=attr_dict["response_curve_params"],
180
+ penalty=attr_dict["penalty"],
181
+ )
182
+
183
+ def update_response_curves(self, response_curve_params):
184
+ self.response_curve_params = response_curve_params
185
+
186
+
187
+ class Scenario:
188
+ def __init__(self, name, channels, constant, correction):
189
+ self.name = name
190
+ self.channels = channels
191
+ self.constant = constant
192
+ self.correction = correction
193
+
194
+ self.actual_total_spends = self.calculate_modified_total_spends()
195
+ self.actual_total_sales = self.calculate_actual_total_sales()
196
+ self.modified_total_sales = self.calculate_modified_total_sales()
197
+ self.modified_total_spends = self.calculate_modified_total_spends()
198
+ self.delta_spends = self.modified_total_spends - self.actual_total_spends
199
+ self.delta_sales = self.modified_total_sales - self.actual_total_sales
200
+
201
+ def update_penalty(self, value):
202
+ for channel in self.channels.values():
203
+ channel.update_penalty(value)
204
+
205
+ def calculate_modified_total_spends(self):
206
+ total_actual_spends = 0.0
207
+ for channel in self.channels.values():
208
+ total_actual_spends += channel.actual_total_spends * channel.conversion_rate
209
+ return total_actual_spends
210
+
211
+ def calculate_modified_total_spends(self):
212
+ total_modified_spends = 0.0
213
+ for channel in self.channels.values():
214
+ # import streamlit as st
215
+ # st.write(channel.modified_total_spends )
216
+ total_modified_spends += (
217
+ channel.modified_total_spends * channel.conversion_rate
218
+ )
219
+ return total_modified_spends
220
+
221
+ def calculate_actual_total_sales(self):
222
+ total_actual_sales = self.constant.sum() + self.correction.sum()
223
+ for channel in self.channels.values():
224
+ total_actual_sales += channel.actual_total_sales
225
+ return total_actual_sales
226
+
227
+ def calculate_modified_total_sales(self):
228
+ total_modified_sales = self.constant.sum() + self.correction.sum()
229
+ for channel in self.channels.values():
230
+ total_modified_sales += channel.modified_total_sales
231
+ return total_modified_sales
232
+
233
+ def update(self, channel_name, modified_spends):
234
+ self.channels[channel_name].update(modified_spends)
235
+ self.modified_total_sales = self.calculate_modified_total_sales()
236
+ self.modified_total_spends = self.calculate_modified_total_spends()
237
+ self.delta_spends = self.modified_total_spends - self.actual_total_spends
238
+ self.delta_sales = self.modified_total_sales - self.actual_total_sales
239
+
240
+ # def optimize_spends(self, sales_percent, channels_list, algo="COBYLA"):
241
+ # desired_sales = self.actual_total_sales * (1 + sales_percent / 100.0)
242
+
243
+ # def constraint(x):
244
+ # for ch, spends in zip(channels_list, x):
245
+ # self.update(ch, spends)
246
+ # return self.modified_total_sales - desired_sales
247
+
248
+ # bounds = []
249
+ # for ch in channels_list:
250
+ # bounds.append(
251
+ # (1 + np.array([-50.0, 100.0]) / 100.0)
252
+ # * self.channels[ch].actual_total_spends
253
+ # )
254
+
255
+ # initial_point = []
256
+ # for bound in bounds:
257
+ # initial_point.append(bound[0])
258
+
259
+ # power = np.ceil(np.log(sum(initial_point)) / np.log(10))
260
+
261
+ # constraints = [NonlinearConstraint(constraint, -1.0, 1.0)]
262
+
263
+ # res = minimize(
264
+ # lambda x: sum(x) / 10 ** (power),
265
+ # bounds=bounds,
266
+ # x0=initial_point,
267
+ # constraints=constraints,
268
+ # method=algo,
269
+ # options={"maxiter": int(2e7), "catol": 1},
270
+ # )
271
+
272
+ # for channel_name, modified_spends in zip(channels_list, res.x):
273
+ # self.update(channel_name, modified_spends)
274
+
275
+ # return zip(channels_list, res.x)
276
+
277
+ def optimize_spends(self, sales_percent, channels_list, algo="trust-constr"):
278
+ desired_sales = self.actual_total_sales * (1 + sales_percent / 100.0)
279
+
280
+ def constraint(x):
281
+ for ch, spends in zip(channels_list, x):
282
+ self.update(ch, spends)
283
+ return self.modified_total_sales - desired_sales
284
+
285
+ bounds = []
286
+ for ch in channels_list:
287
+ bounds.append(
288
+ (1 + np.array([-50.0, 100.0]) / 100.0)
289
+ * self.channels[ch].actual_total_spends
290
+ )
291
+
292
+ initial_point = []
293
+ for bound in bounds:
294
+ initial_point.append(bound[0])
295
+
296
+ power = np.ceil(np.log(sum(initial_point)) / np.log(10))
297
+
298
+ constraints = [NonlinearConstraint(constraint, -1.0, 1.0)]
299
+
300
+ res = minimize(
301
+ lambda x: sum(x) / 10 ** (power),
302
+ bounds=bounds,
303
+ x0=initial_point,
304
+ constraints=constraints,
305
+ method=algo,
306
+ options={"maxiter": int(2e7), "xtol": 100},
307
+ )
308
+
309
+ for channel_name, modified_spends in zip(channels_list, res.x):
310
+ self.update(channel_name, modified_spends)
311
+
312
+ return zip(channels_list, res.x)
313
+
314
+ def optimize(self, spends_percent, channels_list):
315
+ # channels_list = self.channels.keys()
316
+ num_channels = len(channels_list)
317
+ spends_constant = []
318
+ spends_constraint = 0.0
319
+ for channel_name in channels_list:
320
+ # spends_constraint += self.channels[channel_name].modified_total_spends
321
+ spends_constant.append(self.channels[channel_name].conversion_rate)
322
+ spends_constraint += (
323
+ self.channels[channel_name].actual_total_spends
324
+ * self.channels[channel_name].conversion_rate
325
+ )
326
+ spends_constraint = spends_constraint * (1 + spends_percent / 100)
327
+ # constraint= LinearConstraint(np.ones((num_channels,)), lb = spends_constraint, ub = spends_constraint)
328
+ constraint = LinearConstraint(
329
+ np.array(spends_constant),
330
+ lb=spends_constraint,
331
+ ub=spends_constraint,
332
+ )
333
+ bounds = []
334
+ old_spends = []
335
+ for channel_name in channels_list:
336
+ _channel_class = self.channels[channel_name]
337
+ channel_bounds = _channel_class.bounds
338
+ channel_actual_total_spends = _channel_class.actual_total_spends * (
339
+ (1 + spends_percent / 100)
340
+ )
341
+ old_spends.append(channel_actual_total_spends)
342
+ bounds.append((1 + channel_bounds / 100) * channel_actual_total_spends)
343
+
344
+ def objective_function(x):
345
+ for channel_name, modified_spends in zip(channels_list, x):
346
+ self.update(channel_name, modified_spends)
347
+ return -1 * self.modified_total_sales
348
+
349
+ res = minimize(
350
+ lambda x: objective_function(x) / 1e8,
351
+ method="trust-constr",
352
+ x0=old_spends,
353
+ constraints=constraint,
354
+ bounds=bounds,
355
+ options={"maxiter": int(1e7), "xtol": 100},
356
+ )
357
+ # res = dual_annealing(
358
+ # objective_function,
359
+ # x0=old_spends,
360
+ # mi
361
+ # constraints=constraint,
362
+ # bounds=bounds,
363
+ # tol=1e-16
364
+ # )
365
+ print(res)
366
+ for channel_name, modified_spends in zip(channels_list, res.x):
367
+ self.update(channel_name, modified_spends)
368
+
369
+ return zip(channels_list, res.x)
370
+
371
+ def save(self):
372
+ details = {}
373
+ actual_list = []
374
+ modified_list = []
375
+ data = {}
376
+ channel_data = []
377
+
378
+ summary_rows = []
379
+ actual_list.append(
380
+ {
381
+ "name": "Total",
382
+ "Spends": self.actual_total_spends,
383
+ "Sales": self.actual_total_sales,
384
+ }
385
+ )
386
+ modified_list.append(
387
+ {
388
+ "name": "Total",
389
+ "Spends": self.modified_total_spends,
390
+ "Sales": self.modified_total_sales,
391
+ }
392
+ )
393
+ for channel in self.channels.values():
394
+ name_mod = channel.name.replace("_", " ")
395
+ if name_mod.lower().endswith(" imp"):
396
+ name_mod = name_mod.replace("Imp", " Impressions")
397
+ summary_rows.append(
398
+ [
399
+ name_mod,
400
+ channel.actual_total_spends,
401
+ channel.modified_total_spends,
402
+ channel.actual_total_sales,
403
+ channel.modified_total_sales,
404
+ round(channel.actual_total_sales / channel.actual_total_spends, 2),
405
+ round(
406
+ channel.modified_total_sales / channel.modified_total_spends,
407
+ 2,
408
+ ),
409
+ channel.get_marginal_roi("actual"),
410
+ channel.get_marginal_roi("modified"),
411
+ ]
412
+ )
413
+ data[channel.name] = channel.modified_spends
414
+ data["Date"] = channel.dates
415
+ data["Sales"] = (
416
+ data.get("Sales", np.zeros((len(channel.dates),)))
417
+ + channel.modified_sales
418
+ )
419
+ actual_list.append(
420
+ {
421
+ "name": channel.name,
422
+ "Spends": channel.actual_total_spends,
423
+ "Sales": channel.actual_total_sales,
424
+ "ROI": round(
425
+ channel.actual_total_sales / channel.actual_total_spends, 2
426
+ ),
427
+ }
428
+ )
429
+ modified_list.append(
430
+ {
431
+ "name": channel.name,
432
+ "Spends": channel.modified_total_spends,
433
+ "Sales": channel.modified_total_sales,
434
+ "ROI": round(
435
+ channel.modified_total_sales / channel.modified_total_spends,
436
+ 2,
437
+ ),
438
+ "Marginal ROI": channel.get_marginal_roi("modified"),
439
+ }
440
+ )
441
+
442
+ channel_data.append(
443
+ {
444
+ "channel": channel.name,
445
+ "spends_act": channel.actual_total_spends,
446
+ "spends_mod": channel.modified_total_spends,
447
+ "sales_act": channel.actual_total_sales,
448
+ "sales_mod": channel.modified_total_sales,
449
+ }
450
+ )
451
+ summary_rows.append(
452
+ [
453
+ "Total",
454
+ self.actual_total_spends,
455
+ self.modified_total_spends,
456
+ self.actual_total_sales,
457
+ self.modified_total_sales,
458
+ round(self.actual_total_sales / self.actual_total_spends, 2),
459
+ round(self.modified_total_sales / self.modified_total_spends, 2),
460
+ 0.0,
461
+ 0.0,
462
+ ]
463
+ )
464
+ details["Actual"] = actual_list
465
+ details["Modified"] = modified_list
466
+ columns_index = pd.MultiIndex.from_product(
467
+ [[""], ["Channel"]], names=["first", "second"]
468
+ )
469
+ columns_index = columns_index.append(
470
+ pd.MultiIndex.from_product(
471
+ [["Spends", "NRPU", "ROI", "MROI"], ["Actual", "Simulated"]],
472
+ names=["first", "second"],
473
+ )
474
+ )
475
+ details["Summary"] = pd.DataFrame(summary_rows, columns=columns_index)
476
+ data_df = pd.DataFrame(data)
477
+ channel_list = list(self.channels.keys())
478
+ data_df = data_df[["Date", *channel_list, "Sales"]]
479
+
480
+ details["download"] = {
481
+ "data_df": data_df,
482
+ "channels_df": pd.DataFrame(channel_data),
483
+ "total_spends_act": self.actual_total_spends,
484
+ "total_sales_act": self.actual_total_sales,
485
+ "total_spends_mod": self.modified_total_spends,
486
+ "total_sales_mod": self.modified_total_sales,
487
+ }
488
+
489
+ return details
490
+
491
+ @classmethod
492
+ def from_dict(cls, attr_dict):
493
+ channels_list = attr_dict["channels"]
494
+ channels = {
495
+ channel["name"]: class_from_dict(channel) for channel in channels_list
496
+ }
497
+ return Scenario(
498
+ name=attr_dict["name"],
499
+ channels=channels,
500
+ constant=attr_dict["constant"],
501
+ correction=attr_dict["correction"],
502
+ )
config.yaml ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ credentials:
2
+ usernames:
3
+ Aldi:
4
+ email: geethu4444@gmail.com
5
+ name: Geetakrishna
6
+ password: '$2b$12$zwr3OM11ot9Raw8kHwPtYurvaLIImdWKfpd..svFNaW9pmhKhfaP6'
7
+ cookie:
8
+ expiry_days: 1
9
+ key: some_signature_key
10
+ name: some_cookie_name
11
+ preauthorized:
12
+ emails:
13
+ - geethu4444@gmail.com
data_import.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b626ee3d856ae50a1e6778103d5749f50d9e871a93204414b0e9c2fe36e20994
3
+ size 2246177