diff --git a/docs/source/_static/sales_attribution.png b/docs/source/_static/sales_attribution.png index a80e4bf76..464fe922f 100644 Binary files a/docs/source/_static/sales_attribution.png and b/docs/source/_static/sales_attribution.png differ diff --git a/docs/source/example_notebooks/counterfactual_fairness_dowhy.ipynb b/docs/source/example_notebooks/counterfactual_fairness_dowhy.ipynb index 44d07c424..1b7646857 100644 --- a/docs/source/example_notebooks/counterfactual_fairness_dowhy.ipynb +++ b/docs/source/example_notebooks/counterfactual_fairness_dowhy.ipynb @@ -1,16 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "ef2e40dc", - "metadata": {}, - "outputs": [], - "source": [ - "# !pip install dowhy\n", - "# !pip install scipy" - ] - }, { "cell_type": "markdown", "id": "777695bc", @@ -653,7 +642,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/docs/source/example_notebooks/datasets/sale_attribution.csv b/docs/source/example_notebooks/datasets/sales_attribution.csv similarity index 51% rename from docs/source/example_notebooks/datasets/sale_attribution.csv rename to docs/source/example_notebooks/datasets/sales_attribution.csv index 4459f38a3..a6601c496 100644 --- a/docs/source/example_notebooks/datasets/sale_attribution.csv +++ b/docs/source/example_notebooks/datasets/sales_attribution.csv @@ -1,548 +1,548 @@ ,dsp_spend,sp_spend,dpv,discount,sale,activity_date,year,quarter,month,special_shopping_event,other_shopping_event -0,11864.79939007542,2609.702788651283,54954.82315031493,26167.824598765008,75554.4067306238,2023-01-01,2023,1,1,0,0 -1,11084.057109563157,2568.5405700077863,44907.06332439528,22340.00978019588,51372.31323039973,2023-01-02,2023,1,1,0,0 -2,16680.85094508223,2847.5766997879546,151643.91256440204,68301.74781275046,626394.8812144699,2023-01-03,2023,1,1,0,0 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-524,15989.234719087028,3196.750148862323,120082.96007321228,30650.01010397283,459179.4816635855,2024-06-08 00:00:00,2024,2,6,0,0 -525,17615.968890337685,3486.873906518458,117594.91006465782,30840.80397904954,567570.5777489252,2024-06-09 00:00:00,2024,2,6,0,0 -526,17113.940231497058,2651.958004691425,133839.9026993554,27940.56590702207,538486.803222622,2024-06-10 00:00:00,2024,2,6,0,0 -527,15789.209349026918,2866.984857051415,145387.16346588242,30961.0800832682,517781.1174301044,2024-06-11 00:00:00,2024,2,6,0,0 -528,15125.431137468418,2948.019133604276,116593.85349497428,33709.37599120076,515446.9532222614,2024-06-12 00:00:00,2024,2,6,0,0 -529,14507.612588265894,3163.7343788286003,146379.8832101092,32372.821737939783,429058.1552362567,2024-06-13 00:00:00,2024,2,6,0,0 -530,15769.349562173578,3350.4595462338057,136901.1953158221,30962.49515837201,482467.0977660645,2024-06-14 00:00:00,2024,2,6,0,0 -531,16869.105930518468,2849.855697218661,133602.79233289903,30792.62707643318,446807.5295797924,2024-06-15 00:00:00,2024,2,6,0,0 -532,15362.4771085293,2854.0439931243136,118361.8302857952,32089.624140553507,510561.7020154484,2024-06-16 00:00:00,2024,2,6,0,0 -533,17940.149940865667,2765.9930533230327,149236.5818888811,30490.67462868605,463582.58931866975,2024-06-17 00:00:00,2024,2,6,0,0 -534,15829.953670132209,3476.6866816245715,125018.05348924252,32213.58420981864,426598.1581973629,2024-06-18 00:00:00,2024,2,6,0,0 -535,14663.611508647791,2919.356525452366,144218.68460314942,31944.319353969546,422570.3510425733,2024-06-19 00:00:00,2024,2,6,0,0 -536,14458.622669501605,2841.6809974766134,113724.39769325126,33689.76665274606,418494.99559362215,2024-06-20 00:00:00,2024,2,6,0,0 -537,13467.995203672584,3196.617107780249,139387.7722671624,28905.939685632555,513769.3389000001,2024-06-21 00:00:00,2024,2,6,0,0 -538,16395.62019012106,3533.8108209181974,115175.0009210384,34376.955566831,469623.37440250296,2024-06-22 00:00:00,2024,2,6,0,0 -539,16657.532923147108,3007.709523786926,131246.31886572344,28630.88058979301,444660.2365600213,2024-06-23 00:00:00,2024,2,6,0,0 -540,15398.081395373683,3178.694363059269,157975.52223052498,31242.243016228203,476867.380019899,2024-06-24 00:00:00,2024,2,6,0,0 -541,15704.73595117928,2674.739101757693,133067.36723282147,32028.76636839493,518293.5299279518,2024-06-25 00:00:00,2024,2,6,0,0 -542,14667.917955397552,3384.46321295907,142532.3005014633,30767.489558186808,514882.3755848785,2024-06-26 00:00:00,2024,2,6,0,0 -543,15114.345005889105,3189.5389261128125,136912.9634086988,30140.218096708653,448386.7701824556,2024-06-27 00:00:00,2024,2,6,0,0 -544,16295.416420857964,2318.7797754593225,138215.2209935118,32710.285704958867,463942.5591566077,2024-06-28 00:00:00,2024,2,6,0,0 -545,18165.75212048323,3003.761967989752,134484.54464989054,30921.81576916633,511696.1838626112,2024-06-29 00:00:00,2024,2,6,0,0 -546,12339.875378623436,2944.4308047380523,109477.25960453524,33037.56754792266,424571.1978770118,2024-06-30 00:00:00,2024,2,6,0,0 +0,11864.79939007542,2609.702788651283,54954.82315031493,26167.824598765008,76740.88666963133,2023-01-01,2023,1,1,No,No +1,11084.057109563157,2568.5405700077863,44907.06332439528,22340.00978019588,52480.71894135605,2023-01-02,2023,1,1,No,No +2,16680.85094508223,2847.5766997879546,151643.91256440204,68301.74781275046,628062.9663089782,2023-01-03,2023,1,1,No,No +3,15473.576264164849,2788.5158311368946,121173.34395492656,18906.05040207389,307547.5839643443,2023-01-04,2023,1,1,No,No +4,10308.414301882533,2523.591011443533,36234.26733708955,18198.68956273316,35602.101925999224,2023-01-05,2023,1,1,No,No +5,10232.30211262704,2528.959021650041,35453.504307967065,16288.18249725933,34746.55034612637,2023-01-06,2023,1,1,No,No +6,18216.16798006628,2919.783223569294,197272.6279501113,8984.63606336424,746019.7213303864,2023-01-07,2023,1,1,No,No +7,11668.72741723972,2600.899296446209,52302.8396910233,5347.027196956714,11167.872741723972,2023-01-08,2023,1,1,Yes,No +8,17742.97177960391,2903.693774365427,182355.08294770832,61099.870067087,753989.7068601991,2023-01-09,2023,1,1,No,No +9,19521.200436956075,2999.502631213432,242633.0504617637,68518.42881589451,1253553.0293712097,2023-01-10,2023,1,1,No,No +10,13072.598745355604,2661.3900465064344,73305.34724390542,18656.718008831747,127010.25734435896,2023-01-11,2023,1,1,No,No +11,17761.2949817612,2898.8674525451147,182913.14446326287,18141.23748803216,645077.3657193257,2023-01-12,2023,1,1,No,No +12,14509.752593369334,2738.228195643501,100020.673486747,29272.06627175945,221318.4714981916,2023-01-13,2023,1,1,No,No +13,19230.29687085958,2984.0969155762773,231979.4219692092,114057.78461929904,1933989.074610804,2023-01-14,2023,1,1,No,No +14,11478.490998067044,2582.961976646522,49808.233523709685,20443.796680875414,63747.99510738489,2023-01-15,2023,1,1,No,No +15,16786.622415122816,2842.926675693305,154525.16384653203,59376.57175928536,576423.3339614839,2023-01-16,2023,1,1,No,No +16,12286.202707333829,2626.7037788916614,60954.2087830851,23692.934197452723,91259.6784402227,2023-01-17,2023,1,1,No,No +17,18113.103822605663,2915.387206957196,193957.6320133564,11293.371081445184,721662.7852156062,2023-01-18,2023,1,1,No,No +18,10847.299870870467,2568.480345484634,42130.9013296506,6369.218284557012,55102.021874982245,2023-01-19,2023,1,1,No,No +19,13529.412597486313,2687.859027171765,81197.97102790904,17219.760865777374,152327.2612601437,2023-01-20,2023,1,1,No,No +20,13297.682115449186,2687.484587511525,77136.29930230968,23834.09968108244,138493.68311686898,2023-01-21,2023,1,1,No,No +21,13505.09815865617,2681.5393221371023,80762.53606162182,9221.420949534217,155771.9466822538,2023-01-22,2023,1,1,No,No +22,10422.016675527972,2537.090082538033,37426.66054020553,8500.742821474036,43809.40075297559,2023-01-23,2023,1,1,No,No +23,18109.20399297196,2929.292689247696,193841.7199383409,95327.59804197845,1241296.2999892256,2023-01-24,2023,1,1,No,No +24,19495.868413942488,2984.9330347356404,241680.3390876149,28652.50067758249,1077068.233760713,2023-01-25,2023,1,1,No,No +25,18387.17976344641,2928.343351146349,202868.2922582592,93978.29645449486,1279275.8578183418,2023-01-26,2023,1,1,No,No +26,18072.976879964783,2925.151864839121,192686.27192183805,40717.693579269566,729671.4722933547,2023-01-27,2023,1,1,No,No +27,19177.75808842361,2970.1450014755665,230077.09646720847,5324.767870304238,990653.0513115012,2023-01-28,2023,1,1,No,No +28,17459.300970463046,2887.189246753852,173778.90086259515,20560.485211699604,587282.2908739723,2023-01-29,2023,1,1,No,No +29,16061.431060503195,2849.2923454484685,135472.4957954798,5001.300820144229,384569.9281889575,2023-01-30,2023,1,1,No,No 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+62,15218.37881858589,2780.727763481268,115311.10420007331,14571.950730706783,283465.130426187,2023-03-04,2023,1,3,No,No +63,18241.57143227616,2930.0385740631204,198104.1082079558,76291.33215317283,994219.5184068287,2023-03-05,2023,1,3,No,No +64,10669.97371038191,2547.259025164454,40118.8094032632,12847.870271258387,45868.99686824387,2023-03-06,2023,1,3,No,No +65,15426.730313702496,2777.887768080937,120074.19143511802,46608.29481342147,11543.67303137025,2023-03-07,2023,1,3,Yes,No +66,11138.47583858753,2578.4618577234182,45571.78693337313,13182.381069312254,57019.85211939016,2023-03-08,2023,1,3,No,No +67,15806.084367185267,2815.233665413542,129122.3292101524,59030.75432821032,443204.50755452894,2023-03-09,2023,1,3,No,No +68,15127.423225286808,2766.693619694508,113262.93301371323,27593.05587372291,274037.8569743461,2023-03-10,2023,1,3,No,No +69,12939.505398534831,2665.162983826315,71113.12691181705,13874.644613204546,122360.4787052422,2023-03-11,2023,1,3,No,No +70,15855.848764013175,2797.387271215214,130318.90213481108,59784.86082807257,453793.6949332052,2023-03-12,2023,1,3,No,No +71,10547.563592596249,2544.400343106592,38777.41296202207,10701.878144788603,44543.96357199056,2023-03-13,2023,1,3,No,No +72,15957.24755913394,2806.741400465455,132828.5982072106,55976.6824377499,11596.724755913394,2023-03-14,2023,1,3,Yes,No +73,10290.727182137962,2532.438514279996,36049.29522097757,17637.49738999559,35478.67857793614,2023-03-15,2023,1,3,No,No +74,13530.154207001,2692.264311135318,81214.53078954491,18497.10473204938,151766.1349159149,2023-03-16,2023,1,3,No,No +75,12630.44318562225,2637.583652130219,66170.56153663639,12657.955041362957,108714.08335780364,2023-03-17,2023,1,3,No,No +76,10681.93198581304,2545.5483945427704,40252.13368157131,15640.299267366909,44455.610139856166,2023-03-18,2023,1,3,No,No +77,11274.945668686098,2576.4701064509,47238.88138617648,14966.59438968322,59507.09515769749,2023-03-19,2023,1,3,No,No +78,16651.488103381602,2843.234540694281,150842.09675913482,67200.78617290665,614209.4784275341,2023-03-20,2023,1,3,No,No +79,17614.43330233067,2908.2274549979124,178449.9292243028,24740.486207543767,616622.2519881018,2023-03-21,2023,1,3,No,No +80,15445.724959972817,2798.003548960506,120535.70782863908,7148.31127459362,11545.57249599728,2023-03-22,2023,1,3,Yes,No +81,17446.47771716684,2882.1883016359734,173397.60979015206,9770.30242928656,590249.2668870819,2023-03-23,2023,1,3,No,No +82,17797.665043290275,2914.703776422576,184045.71220563017,26626.974732505343,653083.0468826764,2023-03-24,2023,1,3,No,No +83,14278.671622616792,2718.5870676261466,95344.85961460984,11637.62841841074,204978.16611978455,2023-03-25,2023,1,3,No,No +84,10176.08517787648,2526.929049854561,34877.586646981166,2195.115698577836,44611.62997268526,2023-03-26,2023,1,3,No,No +85,19824.518760738163,3002.241647162648,254074.70814131555,52623.70192730116,1243018.8510417691,2023-03-27,2023,1,3,No,No +86,17300.120375733488,2882.046796350332,169090.07367217712,46680.114954082645,597910.8495363363,2023-03-28,2023,1,3,No,No +87,15608.544317325272,2805.480691049104,124360.5901083492,34435.26106654667,330339.4966783727,2023-03-29,2023,1,3,No,No +88,14240.176228040344,2723.645571573299,94582.45234254484,48042.84578437429,241996.35957744165,2023-03-30,2023,1,3,No,No +89,17473.296936948256,2885.897725983263,174203.72209332045,57400.558005078245,679158.1068146823,2023-03-31,2023,1,3,No,No +90,11530.142276238525,2591.231507435492,50482.40888692829,23882.137326387936,65311.706349306165,2023-04-01,2023,2,4,No,No +91,13909.271758693329,2696.6008857456736,88171.16669982174,27856.24599558347,176737.73472840508,2023-04-02,2023,2,4,No,No +92,16658.074311113232,2848.395493553576,151024.57988789663,56196.1486325087,538029.8484018774,2023-04-03,2023,2,4,No,No +93,11640.33768834339,2584.6530156019635,51921.544066432536,20905.90014990672,68517.71347268869,2023-04-04,2023,2,4,No,No +94,19452.3373911238,2982.444551976051,240071.4717053392,7694.110207657396,1068816.844008662,2023-04-05,2023,2,4,No,No +95,11721.863606201612,2625.202692967724,53028.86298339655,3942.747828759641,81853.035521075,2023-04-06,2023,2,4,No,No +96,14084.92948012886,2718.7029458998923,91542.33077183044,7368.115329991868,194378.41474196696,2023-04-07,2023,2,4,No,No +97,11269.30183548332,2591.2587233528548,47176.17982520386,14529.27534796175,59700.47735083989,2023-04-08,2023,2,4,No,No +98,18796.17079381625,2960.475981035944,216666.6842895663,42492.75149310147,904248.165022727,2023-04-09,2023,2,4,No,No +99,18416.99258959516,2928.2993583378284,203846.4013728909,82285.09932656371,1107435.7356941565,2023-04-10,2023,2,4,No,No +100,11019.829811333026,2562.6105532128045,44136.28509626541,1400.461063688743,63914.789586187246,2023-04-11,2023,2,4,No,No +101,18249.80711047113,2917.587142500988,198360.138947352,63159.10105517398,11825.980711047114,2023-04-12,2023,2,4,Yes,No +102,15589.780730662587,2798.778381717195,123913.49368934042,41099.82507666839,341768.3130831253,2023-04-13,2023,2,4,No,No +103,11792.458774308208,2602.2451092210404,53964.30474935124,5297.01596245693,82868.1383481799,2023-04-14,2023,2,4,No,No +104,14439.120060202697,2742.832819093503,98582.07559795296,11820.680430912593,216844.7473234764,2023-04-15,2023,2,4,No,No +105,19555.69109154084,2989.806621895912,243903.8137683073,93935.07201297669,1593209.417266334,2023-04-16,2023,2,4,No,No +106,14156.112267655317,2728.608809431603,92931.8313542938,42640.77921630231,218095.22444893312,2023-04-17,2023,2,4,No,No +107,16723.943405857008,2849.21970906308,152813.60652158182,68336.29184383912,634681.4449421301,2023-04-18,2023,2,4,No,No +108,14984.025225268178,2761.082987147742,110085.73789151496,14243.848689314584,261456.4799192641,2023-04-19,2023,2,4,No,No +109,16135.795717900935,2815.6269302832457,137313.39611432186,59410.02662171725,485617.4782070036,2023-04-20,2023,2,4,No,No +110,12877.465260628278,2664.30304508452,70105.07044554866,11019.804936812568,121293.33532290049,2023-04-21,2023,2,4,No,No +111,17872.69714402296,2921.804188633011,186376.4717325997,64250.023178389885,802674.03963641,2023-04-22,2023,2,4,No,No +112,18435.698905182373,2936.481650008607,204472.08159146423,101247.39077095588,1428753.1269170437,2023-04-23,2023,2,4,No,No +113,16023.848515561263,2805.8698538581034,134489.86176819462,41442.34685372269,392767.28816757177,2023-04-24,2023,2,4,No,Yes +114,19003.176276897346,2964.675594967593,223871.95995204087,67008.86081754284,1091073.102675957,2023-04-25,2023,2,4,No,No +115,17523.986750251202,2880.8852759030187,175699.87152338328,38169.061872892606,11753.39867502512,2023-04-26,2023,2,4,Yes,No +116,14227.38011359147,2721.365244217135,94338.09237971144,33482.895832123366,204434.517113751,2023-04-27,2023,2,4,No,No +117,18438.518101175978,2941.102441362834,204568.6282925311,2909.811662476893,802237.6087482957,2023-04-28,2023,2,4,No,No +118,12172.816298529908,2634.024771592836,59309.39897152673,9049.28179194726,92803.18651888084,2023-04-29,2023,2,4,No,No +119,12136.637374704202,2619.6822489827605,58776.13093125749,9493.34856054399,91266.62810885004,2023-04-30,2023,2,4,No,No +120,17225.272806996647,2870.854784269861,166908.00138919885,13868.119794886814,548456.3220435679,2023-05-01,2023,2,5,No,Yes +121,11247.22311083461,2600.46018463713,46913.53133152799,19467.11667645893,57287.66290833766,2023-05-02,2023,2,5,No,No +122,17323.283512178063,2871.6614990984326,169756.68836581902,79214.59334016762,845661.3318508208,2023-05-03,2023,2,5,No,No +123,17000.188959017665,2865.639189036277,160481.75162139762,74727.00115666719,739721.9094464298,2023-05-04,2023,2,5,No,No +124,16737.136081274602,2849.7300649201434,153176.01301956837,44466.49313210624,498940.60989683424,2023-05-05,2023,2,5,No,No +125,11098.784554214724,2571.3127669444166,45087.05107031483,1648.145172374905,65807.5281191812,2023-05-06,2023,2,5,No,No +126,19100.144889487143,2970.004656647697,227308.17123745583,77881.31709465497,1226757.948902937,2023-05-07,2023,2,5,No,Yes +127,17077.78764587286,2880.140777017213,162687.57454620505,6057.225585072816,529835.3723231368,2023-05-08,2023,2,5,No,No +128,16519.316876798057,2837.029717135952,147293.51486710669,50790.62298254375,11652.931687679806,2023-05-09,2023,2,5,Yes,No +129,15742.254388248391,2793.709364525658,127557.13899154124,38596.45065246215,352750.8134378623,2023-05-10,2023,2,5,No,No +130,12500.876109607054,2635.058964143491,64173.09557141788,12741.32860397467,103348.87558276617,2023-05-11,2023,2,5,No,No +131,10807.342471856053,2547.716923314791,41663.08067248911,19275.0435201153,45983.95346894721,2023-05-12,2023,2,5,No,No +132,19538.21208578541,3001.450280610775,243266.0364609208,55709.61827213061,1167675.369297686,2023-05-13,2023,2,5,No,No +133,13192.618677879876,2672.4320062886154,75327.60726392793,1158.499492469223,146075.12286483956,2023-05-14,2023,2,5,No,No +134,18121.56401383737,2915.5711843606264,194232.82839258865,81641.59990683006,1032394.3820186384,2023-05-15,2023,2,5,No,No +135,12359.3128047804,2634.438246250512,62045.95954907177,28801.606548313724,96750.6298128377,2023-05-16,2023,2,5,No,No +136,13710.980004882924,2700.8963384274584,84490.88315413841,5664.3513674786645,171244.38324034636,2023-05-17,2023,2,5,No,No +137,14717.731108564742,2758.821357982897,104361.88458645924,35330.40648940997,245792.68938119573,2023-05-18,2023,2,5,No,No +138,15679.313873553076,2804.76300098966,126050.62700213466,8225.0716926524,336214.52697032754,2023-05-19,2023,2,5,No,No +139,13078.340829861188,2662.6230815271474,73403.13750665677,37313.28256528759,140293.40560682322,2023-05-20,2023,2,5,No,No +140,17571.45204039371,2894.146904397397,177133.87345489682,24040.65746675913,608294.5685600723,2023-05-21,2023,2,5,No,No +141,14954.35712126238,2763.569941231514,109443.55055420412,25068.196401513604,256942.1501108525,2023-05-22,2023,2,5,No,No +142,14332.121230780833,2727.7299280417133,96415.34597887092,20023.63438376866,204984.31960585265,2023-05-23,2023,2,5,No,No +143,15998.493330213194,2825.2490379167584,133868.45091561653,15490.536972946653,368467.3352320047,2023-05-24,2023,2,5,No,No +144,18668.13828617494,2936.9838055962123,212265.71892194703,12258.620340739471,849667.8126900201,2023-05-25,2023,2,5,No,No +145,16077.66950281127,2808.8912767887023,135838.1509937302,61666.544130867616,493491.14498025365,2023-05-26,2023,2,5,No,No +146,17202.938138940804,2874.9993914890715,166267.00277994917,29057.015633335184,544681.3617668152,2023-05-27,2023,2,5,No,No +147,11656.611967744762,2587.8267322272623,52134.00394063981,25168.72486252534,69446.4834514223,2023-05-28,2023,2,5,No,No +148,12583.150651437169,2676.2798601658,65466.3453081021,7261.913103213664,111003.44172513176,2023-05-29,2023,2,5,No,No +149,13864.194806982214,2707.4893362427265,87344.6866525771,17530.067241321995,172920.6259731223,2023-05-30,2023,2,5,No,No +150,17280.170412074924,2877.203436675503,168507.24123308816,40173.92235957972,574988.6943459326,2023-05-31,2023,2,5,No,No +151,12369.034501317825,2619.254656196872,62183.39464464643,6048.416764540098,103329.41898241248,2023-06-01,2023,2,6,No,No +152,14197.469669161006,2738.3122189122955,93750.38169362556,28679.10899531393,197360.2663183593,2023-06-02,2023,2,6,No,Yes +153,10458.612694472791,2536.4930656388324,37813.09041626065,13274.08998335508,40912.51391850546,2023-06-03,2023,2,6,No,No +154,14932.608882243376,2775.755210068632,108976.72903738766,40271.22267560706,274343.7843178788,2023-06-04,2023,2,6,No,No +155,19852.54123844096,3010.406127798933,255152.4262304588,80766.51822672845,1490575.3407128104,2023-06-05,2023,2,6,No,No +156,18694.70035249052,2938.101029007794,213175.5940024836,40020.85064713905,872199.1221256016,2023-06-06,2023,2,6,No,No +157,19599.831478775603,3002.5711537436464,245566.3523152908,106397.11803739789,1856894.2377084424,2023-06-07,2023,2,6,No,No +158,12490.104057642144,2650.364256195637,64027.16399733528,19704.955182071484,99748.04536086765,2023-06-08,2023,2,6,No,No +159,10523.486529914124,2540.685340443743,38511.22982059314,10849.763781590333,43927.56453069308,2023-06-09,2023,2,6,No,No +160,11104.41299156953,2567.241001699694,45158.96058042858,18015.492742940747,53710.156552815606,2023-06-10,2023,2,6,No,No +161,15450.13441403785,2787.103852743307,120625.4999822687,6856.69964250108,312731.8877155663,2023-06-11,2023,2,6,No,No +162,16743.22626802585,2847.1105140022537,153337.62724468473,52568.98597771433,531714.5229151197,2023-06-12,2023,2,6,No,No +163,13918.353666873129,2705.097606548035,88350.78469246291,3112.5669690579343,187001.495826442,2023-06-13,2023,2,6,No,No +164,14812.213475481927,2752.4449296234743,106364.28288738929,32924.84017709489,250254.5216289816,2023-06-14,2023,2,6,No,No +165,17200.991152854138,2872.7697551528545,166212.59631152952,47404.99415782134,583175.6073596017,2023-06-15,2023,2,6,No,No +166,15383.926045592812,2796.012262322265,119099.18938381436,47460.81421869122,339734.42500945483,2023-06-16,2023,2,6,No,No +167,15841.725624496365,2803.043185884386,129977.27676546328,17232.297032843933,348989.74562449707,2023-06-17,2023,2,6,No,No +168,17475.098214202735,2878.8183701459143,174241.28274543092,47486.99226248757,631968.3771038599,2023-06-18,2023,2,6,No,No +169,10159.156703636712,2516.1335624578287,34700.91243953718,13647.564561805422,34818.55493930375,2023-06-19,2023,2,6,No,No +170,17282.319267124185,2867.8497489173737,168558.40575619985,65280.739929727824,699429.631669395,2023-06-20,2023,2,6,No,No +171,14510.018616441725,2739.01454211475,100029.0944591822,47000.43954213679,258791.2743278191,2023-06-21,2023,2,6,No,Yes +172,16162.876381875089,2835.033644135574,138017.82429034737,9768.645387591332,392960.3752318334,2023-06-22,2023,2,6,No,No +173,15823.43162381674,2814.244516941196,129547.78142004252,21880.48957904192,345940.4359002771,2023-06-23,2023,2,6,No,No +174,19203.09336802384,2967.778192370845,230996.0749753442,16956.67341934243,989563.507186248,2023-06-24,2023,2,6,No,No +175,18204.251858686777,2925.400641835543,196891.5655879397,25055.300894766955,737736.1148646955,2023-06-25,2023,2,6,No,No +176,17235.69975192691,2870.704627312727,167206.73453970236,16243.509943678357,548828.5674214842,2023-06-26,2023,2,6,No,No +177,11352.497807005902,2573.2036431616007,48200.45820256165,2867.246899460367,71654.82877287676,2023-06-27,2023,2,6,No,No +178,20045.638751057337,3006.007829241778,262640.99686247605,61314.67234040087,1368499.1797609266,2023-06-28,2023,2,6,No,Yes +179,18746.99498436381,2954.633240913282,214970.61427347164,83357.5795846813,1201981.71193076,2023-06-29,2023,2,6,No,No +180,16118.63749659982,2839.565430702341,136896.03480481685,27889.179452338565,383650.6388425503,2023-06-30,2023,2,6,No,No +181,11647.687358645511,2593.124996355884,52021.32671685675,7187.272661256549,76431.47970545513,2023-07-01,2023,3,7,No,No +182,15735.618849604058,2797.2326866787803,127395.795537553,52268.58918159485,397892.1592274543,2023-07-02,2023,3,7,No,No +183,18945.986175598035,2974.565961015085,221873.00336362087,23671.690122125525,918110.4694674228,2023-07-03,2023,3,7,No,No +184,15000.256868736416,2761.3371761153744,110445.09061525347,19018.82300880341,260903.5838698507,2023-07-04,2023,3,7,No,No +185,11255.446836370576,2570.7259890508067,46992.7878861137,4599.908721130832,67180.50723780166,2023-07-05,2023,3,7,No,No +186,18470.717466159167,2938.3870542972327,205634.22947364167,97739.96829138156,1367747.5742569135,2023-07-06,2023,3,7,No,No +187,12965.76151963509,2661.307236045184,71539.79224679842,22578.14719509837,121049.99126735047,2023-07-07,2023,3,7,No,No +188,13300.13161105611,2670.1241486236872,77164.77045856528,38314.90049350269,154052.63065761473,2023-07-08,2023,3,7,No,No +189,18806.042663118013,2955.185189610094,216998.79793714324,15341.794370466108,883017.3898721326,2023-07-09,2023,3,7,No,No +190,12153.006186093156,2639.348837004725,59028.65023729085,28866.547523696903,88747.99009057684,2023-07-10,2023,3,7,No,No +191,11025.713271010727,2567.047264965501,44211.04210225624,1938.678895663871,63784.9899019827,2023-07-11,2023,3,7,No,No +192,11661.12608883763,2588.183157892458,52195.46993044613,10135.265771960492,74247.09254249037,2023-07-12,2023,3,7,No,Yes +193,16758.400587892927,2840.6644017909457,153754.41002602366,58415.64238402749,565908.0764583384,2023-07-13,2023,3,7,No,No +194,13454.9329884879,2689.579334648932,79880.08797208051,9146.26437719481,153017.15171137618,2023-07-14,2023,3,7,No,No +195,18858.24610805129,2944.651338081116,218795.4046541949,48591.3191803942,940851.4668485704,2023-07-15,2023,3,7,No,No +196,16393.72552009653,2834.355053067119,143976.90971506038,16863.866428057543,419103.0501369166,2023-07-16,2023,3,7,No,No +197,16279.420676288531,2823.786226480149,140996.9272868403,52795.1481656015,467370.7421178267,2023-07-17,2023,3,7,No,No +198,13367.61645569566,2700.5947794277017,78363.02229023876,7851.014615376564,149309.77137161745,2023-07-18,2023,3,7,No,No +199,16947.54599682392,2858.1405584107915,158993.53507303126,77402.81053972495,761063.5942592031,2023-07-19,2023,3,7,No,No +200,14383.483037495138,2737.681710443333,97456.19185367844,10833.234882048431,213511.44004323453,2023-07-20,2023,3,7,No,No +201,15867.71934268762,2799.8216853741583,130618.50337392942,26507.141603067,352201.5411573755,2023-07-21,2023,3,7,No,No +202,13338.01395902633,2677.347255597792,77825.40706651195,7222.489063042015,148072.79235902368,2023-07-22,2023,3,7,No,No +203,16625.872644269475,2840.6341248798926,150155.06511441185,62714.17897889905,575121.8790148369,2023-07-23,2023,3,7,No,No +204,17547.118984111054,2886.943892461939,176403.89990510058,32037.541748718893,608847.6763525486,2023-07-24,2023,3,7,No,No +205,16560.076134141895,2836.506293008544,148380.89904388413,55818.75419381809,521690.0284289435,2023-07-25,2023,3,7,No,No +206,13885.725230202572,2716.7021083575305,87743.16431045027,20625.69550078521,173559.69426597678,2023-07-26,2023,3,7,No,No +207,11606.42981201497,2594.3765406398243,51482.49237536621,5158.252050961743,76856.7668342074,2023-07-27,2023,3,7,No,No +208,16039.071376573507,2815.475849022623,134873.53797186748,48260.74118660409,416608.5279563196,2023-07-28,2023,3,7,No,No +209,10718.577461942295,2547.131304118486,40664.87930481627,9909.037944820691,49074.19336217089,2023-07-29,2023,3,7,No,No +210,10495.214219977408,2525.96857398576,38195.4643043126,7935.435635415078,45584.081498383566,2023-07-30,2023,3,7,No,Yes +211,14798.575265857931,2762.7957825303565,106088.8920680396,50828.32406690267,11480.857526585793,2023-07-31,2023,3,7,Yes,No +212,12827.412582152305,2662.769077681229,69299.91534927796,23013.30935821159,114448.97838001187,2023-08-01,2023,3,8,No,No +213,10917.391269093128,2556.7560442020954,42935.51542341278,11806.7036700217,52364.58682511608,2023-08-02,2023,3,8,No,No +214,18909.553593709134,2963.2007177410464,220594.23690704763,97188.7971433381,1467155.7479965512,2023-08-03,2023,3,8,No,No +215,12702.617892137336,2678.3672672264483,67326.17253294392,9091.438004966432,114715.50157041496,2023-08-04,2023,3,8,No,No +216,17923.11988000424,2911.04754433132,187948.48712049745,12150.545881316144,680903.1886698412,2023-08-05,2023,3,8,No,No +217,20196.27611434892,3039.9256854043256,268607.841408798,130118.2029873399,2731752.0511208493,2023-08-06,2023,3,8,No,No +218,12597.02926063482,2650.554367979511,65663.94295126307,12523.270920113466,107628.39792812597,2023-08-07,2023,3,8,No,No +219,11588.873761188828,2586.477183638563,51247.13919546723,6992.221617500524,74609.31007565379,2023-08-08,2023,3,8,No,No +220,13708.084068751208,2689.422309058713,84433.06932834222,15971.259974744966,163714.5141308589,2023-08-09,2023,3,8,No,No +221,17742.669585580188,2894.0253845157035,182339.88581793776,22995.28117075969,11775.26695855802,2023-08-10,2023,3,8,Yes,No +222,13009.367417335176,2692.162535305401,72279.27921509999,18887.900137383607,123832.7974761886,2023-08-11,2023,3,8,No,No +223,17623.302604403296,2905.0793989553936,178716.01570878876,81598.16883978673,930529.1196217998,2023-08-12,2023,3,8,No,No +224,14321.96880068566,2734.781460148489,96213.52411682456,14388.729863992765,206490.15942954805,2023-08-13,2023,3,8,No,No +225,17611.5526986199,2896.054501206237,178345.43269358086,16544.66896565025,616791.3953773555,2023-08-14,2023,3,8,No,No +226,14139.22439022604,2713.743180611385,92595.6935655136,23034.7892376463,190740.7277906256,2023-08-15,2023,3,8,No,No +227,16972.768053440406,2861.7316760445165,159703.73326203742,21391.58868070242,503986.70868348505,2023-08-16,2023,3,8,No,No +228,11040.394548609283,2565.584425878248,44388.22536570521,15019.81667419851,53318.86605141292,2023-08-17,2023,3,8,No,No +229,19841.06646565429,3027.868055896141,254730.15812190968,100942.74249052042,11985.10664656543,2023-08-18,2023,3,8,Yes,No +230,14987.223429609863,2777.6810118992653,110170.31602330122,50297.02790744006,312543.88401755167,2023-08-19,2023,3,8,No,No +231,19988.74570088837,3009.893415884702,260418.17374528665,88860.82287732499,1650496.7156152695,2023-08-20,2023,3,8,No,No +232,16319.549101055176,2830.089162407428,142043.5743113864,2907.2897990844194,419812.4475313408,2023-08-21,2023,3,8,No,No +233,16658.127746802755,2847.193508926068,151028.18001346051,26082.23188876439,456377.0659402936,2023-08-22,2023,3,8,No,No +234,12411.211994966432,2625.380842824816,62818.05196458266,26839.45938547132,97500.61620601636,2023-08-23,2023,3,8,No,No +235,15419.881475817196,2797.547245900586,119931.6399755526,20590.70498276636,301556.5041710535,2023-08-24,2023,3,8,No,Yes +236,17511.315901366455,2890.3043489156744,175330.1443749486,71038.33781316939,790738.013735649,2023-08-25,2023,3,8,No,No +237,17242.92511673886,2868.559783081004,167417.52086895908,17329.020472265438,549677.7518367574,2023-08-26,2023,3,8,No,No +238,10800.9875248224,2553.537491287116,41592.32262681915,13757.329437563603,48059.88139620573,2023-08-27,2023,3,8,No,No +239,15801.555124059323,2803.4062179216858,128999.6477866062,62622.07660624922,11581.155512405932,2023-08-28,2023,3,8,Yes,No +240,15017.069490337004,2762.0664464682814,110812.75986714436,11006.503633180864,266396.9286275921,2023-08-29,2023,3,8,No,No +241,19028.5279472106,2964.36924441376,224773.95427313683,23005.355567154413,940062.918738122,2023-08-30,2023,3,8,No,No +242,14912.614257990255,2783.001076999002,108547.94357449956,53575.672962884295,321242.69307171134,2023-08-31,2023,3,8,No,No +243,13287.18553331647,2682.0220011917645,76951.61796118908,12737.657527334544,141113.11575321536,2023-09-01,2023,3,9,No,No +244,13900.189161155107,2700.904301335273,88005.41094522423,32649.606759414623,180580.8848782483,2023-09-02,2023,3,9,No,No +245,14424.110071468604,2742.846994744113,98283.5076972163,21193.83318762373,212052.97814468437,2023-09-03,2023,3,9,No,No +246,19732.23123082815,2994.206883847153,250545.4360208247,15069.656212613292,1151003.7179927682,2023-09-04,2023,3,9,No,No +247,18211.87965299924,2930.734323700983,197149.62991148327,26378.949324065707,739982.5195519449,2023-09-05,2023,3,9,No,No +248,12697.823568936969,2658.080332328086,67239.69163224717,14713.807935857858,110616.97333414362,2023-09-06,2023,3,9,No,No +249,17281.975134356653,2888.650724921888,168564.79648202044,57510.92851237898,645681.4675537801,2023-09-07,2023,3,9,No,No +250,19773.56526039858,3006.9616686929144,252127.4492786596,27941.832120270938,1164340.4521098365,2023-09-08,2023,3,9,No,No +251,19720.47209268991,2993.4756908213794,250106.7504382381,6554.988795786852,1153420.2597179408,2023-09-09,2023,3,9,No,No +252,17189.25401392168,2874.525800679229,165868.18182168447,66339.40346498652,692041.2959300012,2023-09-10,2023,3,9,No,No +253,11834.905724811262,2603.280653517103,54548.70399852733,19162.627552705377,75063.82336409674,2023-09-11,2023,3,9,No,No +254,15925.99856397794,2819.085408795025,132063.43111888957,48201.14649070631,402697.1385904401,2023-09-12,2023,3,9,No,No +255,13791.739706337114,2696.402319101386,85978.99594149097,8556.677422596247,173882.97094260322,2023-09-13,2023,3,9,No,No +256,16956.912536806838,2850.761701744844,159251.44551577198,64777.46510591103,641094.9764424239,2023-09-14,2023,3,9,No,No +257,19206.13642209638,2997.9770332597195,231119.04843395177,26434.34722584166,990556.247488842,2023-09-15,2023,3,9,No,No +258,18887.873750116418,2963.568587551704,219841.31511699545,25459.50673967332,11889.78737501164,2023-09-16,2023,3,9,Yes,No +259,19731.030230611326,2996.3193535175687,250503.2129925588,71216.20260186434,1344565.7280913573,2023-09-17,2023,3,9,No,No +260,18911.22426370644,2965.478886436132,220652.59344725823,9538.053039892857,914194.4728241422,2023-09-18,2023,3,9,No,No +261,13694.328120679498,2690.25616072448,84176.79172443654,13150.93785897344,164184.04503437754,2023-09-19,2023,3,9,No,No +262,11604.1624903831,2581.944903810273,51442.38075564199,22166.59135788832,67235.87314660622,2023-09-20,2023,3,9,No,No +263,16477.384755586838,2858.224627860587,146205.74718311863,8235.11831295197,436572.59836450056,2023-09-21,2023,3,9,No,No +264,17119.22178979822,2871.532611098729,163858.94198165226,4480.2970395061975,538041.8020727307,2023-09-22,2023,3,9,No,No +265,18147.759776902672,2933.654095747598,195084.55653163648,79432.77787232833,1010367.6440599852,2023-09-23,2023,3,9,No,No +266,11964.97470241762,2609.229178993841,56344.2528805705,4343.737322388173,89599.53764091883,2023-09-24,2023,3,9,No,Yes +267,14148.29593266436,2712.4287332650283,92768.67518962128,15620.21296580262,193121.04026970125,2023-09-25,2023,3,9,No,No +268,14283.612220827665,2733.7225725378407,95452.4074546522,25404.262969287363,201808.394070314,2023-09-26,2023,3,9,No,No +269,19623.18106083465,2988.329032087268,246427.8060567837,117782.78010901816,2153134.045647015,2023-09-27,2023,3,9,No,No +270,13052.64684167076,2662.20677647638,72972.64992392159,16374.343905816862,126669.4311345303,2023-09-28,2023,3,9,No,No +271,14179.817590722523,2728.830594663715,93397.58435913788,40279.305035769634,213665.78360812677,2023-09-29,2023,3,9,No,No +272,13327.596223072476,2682.379168812806,77647.34441387925,36135.822565822586,151273.54919380762,2023-09-30,2023,3,9,No,No +273,18382.9378714516,2957.072919710631,202748.7666920794,27062.741324721595,779307.3781339908,2023-10-01,2023,4,10,No,No +274,16723.970422588853,2848.862805151456,152818.47458227762,42010.91350640084,489913.1811432441,2023-10-02,2023,4,10,No,No +275,11688.732103365524,2592.6647026593714,52564.69634560216,5666.551502351589,79077.54563050385,2023-10-03,2023,4,10,No,No +276,12822.847380492003,2649.5496699594314,69217.8835429592,26615.167104290005,115478.03421492736,2023-10-04,2023,4,10,No,No +277,16723.688440341735,2855.210492186303,152810.6452165964,20683.29382105044,465555.8364956211,2023-10-05,2023,4,10,No,No +278,18145.62800219192,2919.5888362458154,195000.84343301627,87509.83950310503,1119731.8308048572,2023-10-06,2023,4,10,No,No +279,16857.692270078824,2851.471592666666,156488.3189660241,15691.28623052259,487272.2012752655,2023-10-07,2023,4,10,No,No +280,19813.6334108303,3016.4558724344474,253671.5493663359,42322.85266712139,1201017.341675859,2023-10-08,2023,4,10,No,No +281,16193.058075587724,2839.320973759835,138790.44255964202,5532.587260933421,400615.0149850434,2023-10-09,2023,4,10,No,No +282,18340.982055971013,2938.00949264353,201358.1051811589,45354.02864837004,802672.2937789895,2023-10-10,2023,4,10,No,No +283,12331.77894720218,2623.995882835748,61631.07974243811,4642.043502270773,103111.89653468264,2023-10-11,2023,4,10,No,No +284,14431.27671780102,2731.4458596442314,98415.04164075766,10277.545134062806,217509.04638986156,2023-10-12,2023,4,10,No,No +285,13935.100504057284,2711.270587748947,88672.65592514878,37273.84404184221,190356.1970408924,2023-10-13,2023,4,10,No,No +286,11960.164634614415,2607.6128527486417,56274.82771102218,26447.02833219334,80329.56595808263,2023-10-14,2023,4,10,No,No +287,11459.553257484364,2582.9544176241648,49567.37930473496,10613.09014525054,67772.98300331316,2023-10-15,2023,4,10,No,No +288,10889.61578642423,2551.088357997578,42610.0367762452,19218.559593325343,47834.5501092186,2023-10-16,2023,4,10,No,No +289,11617.364330429027,2613.9265628891326,51639.370867073216,1679.542233726913,80624.73851675914,2023-10-17,2023,4,10,No,No +290,15889.412474468952,2808.542844404,131151.7636748882,52791.39079097375,418453.7412595032,2023-10-18,2023,4,10,No,No +291,11787.233533048357,2615.4524743426823,53901.45976169017,16535.646350381347,74523.14420069368,2023-10-19,2023,4,10,No,No +292,18578.09583111765,2948.254472573326,209234.54905084343,28701.338399586857,826410.2397626133,2023-10-20,2023,4,10,No,No +293,11654.992875416374,2594.13124779796,52115.20548136946,22395.33474098997,68857.19122849249,2023-10-21,2023,4,10,No,No +294,17935.45318638462,2916.973345999724,188337.3870624432,72958.82992124683,892762.4637452674,2023-10-22,2023,4,10,No,No +295,18032.4242501514,2920.2678381426413,191397.2792652625,26677.13676914044,701272.5814564669,2023-10-23,2023,4,10,No,No +296,12589.672687494867,2635.478780368377,65540.03557892736,32196.11457772016,109578.58485044092,2023-10-24,2023,4,10,No,No +297,16147.51858826868,2808.862007234855,137608.29221880104,16593.83509597518,386616.9922038302,2023-10-25,2023,4,10,No,No +298,15115.581910177223,2766.9588286195867,112995.92028008214,9532.692002833835,276909.3364081947,2023-10-26,2023,4,10,No,No +299,17851.167520029197,2905.609871204044,185695.66952830213,75618.9788276735,903547.5479886648,2023-10-27,2023,4,10,No,No +300,18633.6814547566,2952.7645710774323,211115.49914850204,67647.16939486157,1001119.1462583035,2023-10-28,2023,4,10,No,No +301,10446.455142410978,2548.512415169745,37693.90379291166,9796.60251810818,43077.98945813941,2023-10-29,2023,4,10,No,No +302,15406.50058638425,2777.0327535928222,119613.51626171218,23040.08451267982,300161.047539317,2023-10-30,2023,4,10,No,No +303,18851.522151736903,2966.5686242938896,218582.42337444413,81184.00115389985,1200262.270131185,2023-10-31,2023,4,10,No,No +304,10143.584898977955,2515.5040275876404,34539.882858166915,10677.21072075594,36434.13027728168,2023-11-01,2023,4,11,No,No +305,18933.15923509688,2969.778046581463,221424.7976276944,38894.402274768974,931240.2104160716,2023-11-02,2023,4,11,No,No +306,12070.528695410254,2613.787012527785,57828.919759364784,10766.99514654736,87815.91552052343,2023-11-03,2023,4,11,No,No +307,15613.098901672938,2787.8047133696377,124455.45671558948,55491.85254946095,400722.1853600222,2023-11-04,2023,4,11,No,No +308,12440.860598609172,2654.5564829403647,63276.74620375545,5619.854874476661,11245.086059860918,2023-11-05,2023,4,11,Yes,No +309,13347.8280288615,2678.398383458816,77995.44899416891,20719.49375857109,141149.95309019144,2023-11-06,2023,4,11,No,No +310,15964.52295185562,2799.210556382558,133002.3760700704,48842.94254123249,409832.1324543445,2023-11-07,2023,4,11,No,No +311,16136.459331039943,2828.4512173856847,137345.41646910433,30446.25688718561,387943.7838530206,2023-11-08,2023,4,11,No,No +312,17954.870708757462,2921.1903281495297,188945.73655478624,28061.511463248626,685841.1519203578,2023-11-09,2023,4,11,No,No +313,20229.785188731115,3030.0046787972124,269934.5278894667,131869.5944765487,2804983.458148565,2023-11-10,2023,4,11,No,No +314,15716.182122154842,2812.4224145589496,126941.68798012518,35484.247297546906,343889.6427641316,2023-11-11,2023,4,11,No,No +315,12290.896874818234,2624.0920861639243,61034.12104365228,29847.21633136793,94840.23521781222,2023-11-12,2023,4,11,No,No +316,11906.39692699949,2609.8489261151344,55532.50629715312,10413.533885508996,11191.63969269995,2023-11-13,2023,4,11,Yes,No +317,15435.522142153117,2787.2954548805774,120287.16631658406,20916.722612688565,303245.7524331473,2023-11-14,2023,4,11,No,No +318,19969.168112092226,3002.888977301365,259655.40542109028,86522.00447425811,1608427.477028109,2023-11-15,2023,4,11,No,No +319,11469.42773358576,2598.0074402763385,49702.20666838935,11548.215973369146,67265.3909975708,2023-11-16,2023,4,11,No,No +320,13798.235021311575,2710.2825677675623,86111.48876255788,10385.0902124141,172785.07240221856,2023-11-17,2023,4,11,No,No +321,13623.450214686283,2703.9221844171034,82917.60533978797,41552.682734135225,180227.3097124666,2023-11-18,2023,4,11,No,Yes +322,19513.38350978566,3000.6192121206823,242339.85500060127,93767.45453212704,11952.338350978567,2023-11-19,2023,4,11,Yes,No +323,14459.976306107385,2735.280627138289,98998.47499459537,19923.04455939426,214677.54781553257,2023-11-20,2023,4,11,No,No +324,13734.003185941536,2702.4178276811444,84914.54155882553,19592.963590955107,163874.7767830614,2023-11-21,2023,4,11,No,No +325,11694.139733075644,2602.3293431274938,52653.7262580797,9498.395693899882,75805.88524734534,2023-11-22,2023,4,11,No,No +326,14685.87743977528,2747.7426727544,103687.7183653977,36097.75088863007,244318.83773917388,2023-11-23,2023,4,11,No,Yes +327,16238.7506292213,2838.0016995095166,139960.6726850215,14339.021992155242,399677.5743706009,2023-11-24,2023,4,11,No,No +328,11173.852177257682,2581.225725155926,46003.4531442591,10884.1624502039,59532.46734725297,2023-11-25,2023,4,11,No,No +329,11884.905942514551,2612.413552959777,55233.08379863483,28129.36510887675,78617.58960009122,2023-11-26,2023,4,11,No,No +330,12670.803717373516,2657.5797155360187,66811.68553349709,31108.468746902057,111898.65523157574,2023-11-27,2023,4,11,No,No +331,16236.646651045674,2821.9828240271045,139894.41103764297,27041.79277999772,398311.4874440827,2023-11-28,2023,4,11,No,No +332,13692.546835152698,2699.1897655539133,84150.37856347073,13770.664089154803,163767.00937870733,2023-11-29,2023,4,11,No,No +333,14211.826979447496,2725.522006274268,94034.13200495472,35564.19186024476,206501.7295298032,2023-11-30,2023,4,11,No,No +334,12113.865010729663,2622.0481589608644,58455.999075157786,10932.85674184743,89373.02914619085,2023-12-01,2023,4,12,No,No +335,12843.854557853065,2652.586798290643,69562.81609424195,21315.61509326509,115413.0355713109,2023-12-02,2023,4,12,No,No +336,11224.033513358614,2578.982026640628,46610.59776391901,16034.288944749496,57619.41322480528,2023-12-03,2023,4,12,No,No +337,15906.38653457539,2797.4739771346613,131566.47974830444,10007.3410645917,360861.4894905944,2023-12-04,2023,4,12,No,Yes +338,15242.0295882724,2773.654789007021,115843.14813199412,14767.862228787297,285560.8599400202,2023-12-05,2023,4,12,No,No +339,17717.48537228411,2889.960550739056,181562.9134101148,50245.2878355973,688960.5683559786,2023-12-06,2023,4,12,No,No +340,13753.7839032966,2718.3173431994155,85289.8102262456,36781.815003972806,177725.3654946757,2023-12-07,2023,4,12,No,Yes +341,18472.688470349363,2939.32221445958,205700.7077944369,9937.260173527908,803916.2886270855,2023-12-08,2023,4,12,No,No +342,18863.25167900911,2972.926679248425,218992.7498099974,2311.1162498446324,908301.3062036404,2023-12-09,2023,4,12,No,No +343,18102.32885314382,2923.71766203132,193618.9666017696,16297.814909436303,716419.3954592431,2023-12-10,2023,4,12,No,No +344,19767.89806839977,2992.94829853224,251904.5405157072,50386.86499185325,1214073.8146665546,2023-12-11,2023,4,12,No,No +345,10329.98846424464,2536.478336248847,36456.5329415576,2950.117827296005,47112.164025022284,2023-12-12,2023,4,12,No,No +346,15346.302679285409,2780.216299702142,118219.6346790453,21417.50572232342,294049.93562343303,2023-12-13,2023,4,12,No,No +347,16350.955980754352,2837.060999950021,142868.89083263016,41233.61023686083,434757.4738222659,2023-12-14,2023,4,12,No,No +348,11062.068843824069,2561.555269084893,44643.877954606585,6492.6546704338425,60302.58897249628,2023-12-15,2023,4,12,No,No +349,10022.082082651985,2501.8119449526234,33327.47043727003,12866.085447867885,32828.76779621512,2023-12-16,2023,4,12,No,No +350,17889.74713015198,2915.140132017394,186914.0766486516,72819.99108061248,882092.511522782,2023-12-17,2023,4,12,No,No +351,14288.213710445538,2717.4106841065177,95526.77637587,6359.258203812723,209823.97036007207,2023-12-18,2023,4,12,No,No +352,13288.852555754118,2684.7719420332046,76986.06852678503,35659.09591362423,148515.81307947662,2023-12-19,2023,4,12,No,No +353,13546.824339791923,2690.8445862636418,81511.92277984093,29254.3885057888,155233.02490446522,2023-12-20,2023,4,12,No,No +354,11384.533797324992,2594.259615316746,48617.414251429655,16871.79158447271,61702.681689130295,2023-12-21,2023,4,12,No,No +355,11199.903262692118,2563.929744965353,46309.7144783998,21564.18418318424,55662.63324861471,2023-12-22,2023,4,12,No,No +356,19994.64308894531,3018.693309202911,260654.5141809275,73716.9181055813,1457220.753877681,2023-12-23,2023,4,12,No,No +357,15711.536219423431,2799.533914382622,126829.39928430288,29960.897496203124,336513.3914994581,2023-12-24,2023,4,12,No,No +358,16196.03316745022,2814.515599101631,138849.22274989288,35284.35416498658,401708.1233453146,2023-12-25,2023,4,12,No,No +359,19155.84284442453,2980.920087456665,229304.66370311743,32046.8756038028,980930.5157965014,2023-12-26,2023,4,12,No,No +360,17162.458897469907,2870.5776569397804,165100.09437011776,11877.702367219144,538876.0663226801,2023-12-27,2023,4,12,No,No +361,16063.086179669146,2837.134329060114,135495.04238697782,22546.06504806372,375035.8551861107,2023-12-28,2023,4,12,No,No +362,10794.180809225192,2553.183239953835,41518.69433523475,6881.111223899316,53230.36447962109,2023-12-29,2023,4,12,No,No +363,16843.92209856842,2866.8654898046143,156118.09107806013,32523.66967766781,489837.3458698699,2023-12-30,2023,4,12,No,No +364,14287.773092199272,2749.3843327689165,95555.98829417976,43782.47790450857,231225.1257645956,2023-12-31,2023,4,12,No,No +365,17031.95833178371,2857.3691433936824,137987.83094877942,29671.05014692801,431666.7782693884,2024-01-01 00:00:00,2024,1,1,No,No +366,15131.563942365445,3513.1970715504863,127828.39036454912,31546.282252959205,406020.7869977795,2024-01-02 00:00:00,2024,1,1,No,No +367,16803.39057190455,2520.2402543320773,147587.41529209976,29759.48923714397,11681.339057190457,2024-01-03 00:00:00,2024,1,1,Yes,No +368,13991.809594504368,2722.591378650361,118232.96807655424,31351.93799736812,477442.64562070434,2024-01-04 00:00:00,2024,1,1,No,No +369,13761.17263257386,3411.8603856445843,129334.64130188216,31663.05723420345,472162.0144205862,2024-01-05 00:00:00,2024,1,1,No,No +370,15889.136597290822,2920.3049678634043,131066.9618843084,29797.848979450733,531636.7203926146,2024-01-06 00:00:00,2024,1,1,No,No +371,15179.402072100846,3226.879393833515,130363.02502393554,32213.37186076595,570470.575985969,2024-01-07 00:00:00,2024,1,1,No,No +372,14614.37731872399,3799.918974140671,133853.60145294812,31990.747781584487,488914.8118438932,2024-01-08 00:00:00,2024,1,1,No,No +373,14036.734190399804,3336.0861143191487,168810.4980848238,28992.9074363644,418978.3799105789,2024-01-09 00:00:00,2024,1,1,No,No +374,16804.33957056895,3146.794395746216,144852.53146872707,33266.55149910744,449529.4682579625,2024-01-10 00:00:00,2024,1,1,No,No +375,14461.135934735774,2855.748875530336,121661.32091898906,30947.17409664125,504031.415382864,2024-01-11 00:00:00,2024,1,1,No,No +376,18078.377846780066,3293.103721430764,148734.0199557054,32317.150383606266,415556.04404750245,2024-01-12 00:00:00,2024,1,1,No,No +377,16503.974853524982,3059.527823804635,135031.30186192002,34499.87973606381,411905.4190789533,2024-01-13 00:00:00,2024,1,1,No,No +378,15465.583950347447,3152.4685831350075,132679.04056940344,32367.422376547445,503325.9710134281,2024-01-14 00:00:00,2024,1,1,No,No +379,15832.65962308464,3085.016912279857,133382.76072098708,31985.309031445628,536044.7900212877,2024-01-15 00:00:00,2024,1,1,No,No +380,15196.009864162786,2654.786653265347,126649.41155895028,30574.43250063168,521034.0890435728,2024-01-16 00:00:00,2024,1,1,No,No +381,14682.475632922034,3299.9138735601464,132662.3810616041,30462.169291024296,543643.0607466518,2024-01-17 00:00:00,2024,1,1,No,No +382,16820.957974685913,3152.5982209514705,134989.0168826913,31307.19255271812,469569.6107846232,2024-01-18 00:00:00,2024,1,1,No,No +383,17425.4597955102,3155.7200875330427,148529.82579710297,30438.715475574565,573525.0156424184,2024-01-19 00:00:00,2024,1,1,No,No +384,15557.81847594486,3288.0542338968107,125691.22057222578,32203.15091313897,533188.6709125602,2024-01-20 00:00:00,2024,1,1,No,Yes +385,13441.9613682541,2885.450481778528,134405.047962043,33191.38429423331,359794.2262647185,2024-01-21 00:00:00,2024,1,1,No,No +386,15470.498315854924,2941.237696777878,173888.08656232755,32061.889116044647,512340.6941371823,2024-01-22 00:00:00,2024,1,1,No,No 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a/docs/source/example_notebooks/gcm_falsify_dag.ipynb +++ b/docs/source/example_notebooks/gcm_falsify_dag.ipynb @@ -29,6 +29,8 @@ "from dowhy.gcm.util import plot\n", "from dowhy.gcm.util.general import set_random_seed\n", "from dowhy.gcm.ml import SklearnRegressionModel\n", + "from dowhy.gcm.util.general import set_random_seed\n", + "set_random_seed(0)\n", "\n", "# Set random seed\n", "set_random_seed(1332)" @@ -328,7 +330,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/docs/source/example_notebooks/gcm_icc.ipynb b/docs/source/example_notebooks/gcm_icc.ipynb index 883ada24b..e79a30a63 100644 --- a/docs/source/example_notebooks/gcm_icc.ipynb +++ b/docs/source/example_notebooks/gcm_icc.ipynb @@ -53,6 +53,7 @@ "\n", "from dowhy import gcm\n", "from dowhy.utils.plotting import plot, bar_plot\n", + "gcm.util.general.set_random_seed(0)\n", "\n", "# Load a modified version of the Auto MPG data: Quinlan,R.. (1993). Auto MPG. UCI Machine Learning Repository. https://doi.org/10.24432/C5859H.\n", "auto_mpg_data = pd.read_csv(\"datasets/auto_mpg.csv\", index_col=0)\n", diff --git a/docs/source/example_notebooks/gcm_online_shop.ipynb b/docs/source/example_notebooks/gcm_online_shop.ipynb index 34362006d..726ecadcf 100644 --- a/docs/source/example_notebooks/gcm_online_shop.ipynb +++ b/docs/source/example_notebooks/gcm_online_shop.ipynb @@ -197,12 +197,13 @@ "outputs": [], "source": [ "from dowhy import gcm\n", + "gcm.util.general.set_random_seed(0)\n", "\n", "# Create the structural causal model object\n", "scm = gcm.StructuralCausalModel(causal_graph)\n", "\n", "# Automatically assign generative models to each node based on the given data\n", - "auto_assignment_summary = gcm.auto.assign_causal_mechanisms(scm, data_2021, override_models=True, quality=gcm.auto.AssignmentQuality.GOOD)" + "auto_assignment_summary = gcm.auto.assign_causal_mechanisms(scm, data_2021)" ] }, { @@ -274,7 +275,7 @@ "metadata": {}, "outputs": [], "source": [ - "print(gcm.evaluate_causal_model(scm, data_2021, compare_mechanism_baselines=True, evaluate_invertibility_assumptions=False))" + "print(gcm.evaluate_causal_model(scm, data_2021, compare_mechanism_baselines=True, evaluate_invertibility_assumptions=False, evaluate_causal_structure=False))" ] }, { @@ -290,7 +291,7 @@ "id": "a2e5acb0-f40e-4478-bee8-db3ff58bea21", "metadata": {}, "source": [ - "> The selection of baseline models or the p-value for graph falsification can be configured as well. For more details, take a look at the corresponding evaluate_causal_model documentation." + "> The selection of baseline models can be configured as well. For more details, take a look at the corresponding evaluate_causal_model documentation." ] }, { @@ -718,7 +719,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/docs/source/example_notebooks/gcm_rca_microservice_architecture.ipynb b/docs/source/example_notebooks/gcm_rca_microservice_architecture.ipynb index 36d345155..8d43818d2 100644 --- a/docs/source/example_notebooks/gcm_rca_microservice_architecture.ipynb +++ b/docs/source/example_notebooks/gcm_rca_microservice_architecture.ipynb @@ -93,6 +93,7 @@ "import networkx as nx\n", "from dowhy import gcm\n", "from dowhy.utils import plot, bar_plot\n", + "gcm.util.general.set_random_seed(0)\n", "\n", "causal_graph = nx.DiGraph([('www', 'Website'),\n", " ('Auth Service', 'www'),\n", @@ -309,7 +310,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The attributions indicate that `Caching Service` is the main driver of high latency in `Website` which is expected as we perturb the causal mechanism of `Caching Service` to generate an outlier latency in `Website` (see Appendix below). Attributions to `Customer DB` and `Product Service` can be explained by misspecification of causal models. First, some of the parent-child relationships in the causal graph are non-linear (by looking at the scatter matrix). Second, the parent child-relationship between `Caching Service` and `Product DB` seems to indicate two mechanisms. This could be due to an unobserved binary variable (e.g., Cache hit/miss) that has a multiplicative effect on `Caching Service`. An additive noise cannot capture the multiplicative effect of this unobserved variable." + "The attributions indicate that `Caching Service` is the main driver of high latency in `Website` which is expected as we perturb the causal mechanism of `Caching Service` to generate an outlier latency in `Website` (see Appendix below). Interestingly, `Customer DB` has a negative contribution, indicating that it was particularly fast, decreasing the outlier in the `Website`. Note that some of the attributions are also due to model misspecifications. For instance, the parent child-relationship between `Caching Service` and `Product DB` seems to indicate two mechanisms. This could be due to an unobserved binary variable (e.g., Cache hit/miss) that has a multiplicative effect on `Caching Service`. An additive noise cannot capture the multiplicative effect of this unobserved variable." ] }, { @@ -596,7 +597,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/docs/source/example_notebooks/gcm_supply_chain_dist_change.ipynb b/docs/source/example_notebooks/gcm_supply_chain_dist_change.ipynb index 0dda4a335..2238a729a 100644 --- a/docs/source/example_notebooks/gcm_supply_chain_dist_change.ipynb +++ b/docs/source/example_notebooks/gcm_supply_chain_dist_change.ipynb @@ -178,6 +178,7 @@ "import networkx as nx\n", "import dowhy.gcm as gcm\n", "from dowhy.utils import plot\n", + "gcm.util.general.set_random_seed(0)\n", "\n", "causal_graph = nx.DiGraph([('demand', 'submitted'),\n", " ('constraint', 'submitted'),\n", @@ -397,7 +398,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/docs/source/example_notebooks/sales_attribution_intervention.ipynb b/docs/source/example_notebooks/sales_attribution_intervention.ipynb index 7ecc87fb3..6f45c0899 100644 --- a/docs/source/example_notebooks/sales_attribution_intervention.ipynb +++ b/docs/source/example_notebooks/sales_attribution_intervention.ipynb @@ -53,6 +53,7 @@ "from scipy import stats\n", "from statsmodels.stats.multitest import multipletests\n", "\n", + "gcm.util.general.set_random_seed(0)\n", "%matplotlib inline" ] }, @@ -75,7 +76,7 @@ }, "outputs": [], "source": [ - "df = pd.read_csv('datasets/sale_attribution.csv', index_col=0)\n", + "df = pd.read_csv('datasets/sales_attribution.csv', index_col=0)\n", "df.head()" ] }, @@ -387,7 +388,7 @@ "tags": [] }, "source": [ - "Then we remove insignificant edges and their associated nodes, resulting a refined causal graph. " + "Then we remove insignificant edges and their associated nodes, resulting a refined causal graph." ] }, { @@ -402,6 +403,9 @@ "for insignificant_parent in test_causal_minimality(causal_graph, 'sale', df):\n", " causal_graph.remove_edge(insignificant_parent, 'sale')\n", "\n", + "for insignificant_parent in test_causal_minimality(causal_graph, 'dpv', df):\n", + " causal_graph.remove_edge(insignificant_parent, 'dpv')\n", + "\n", "cols_to_remove=[]\n", "cols_to_remove.extend([node for node in causal_graph.nodes if causal_graph.in_degree(node) + causal_graph.out_degree(node) == 0])" ] @@ -415,10 +419,18 @@ }, "outputs": [], "source": [ - "causal_graph.remove_nodes_from(cols_to_remove)\n", + "causal_graph.remove_nodes_from(set(cols_to_remove))\n", "plot(causal_graph)" ] }, + { + "cell_type": "markdown", + "id": "b165f1c3-d63b-4e3e-93f7-786da73ad60f", + "metadata": {}, + "source": [ + "Interestingly, the 'other_shopping_event' variable has no significant impact on either 'dpv' or 'sale'." + ] + }, { "cell_type": "markdown", "id": "630fed0a", @@ -432,7 +444,7 @@ "id": "4d7468ec", "metadata": {}, "source": [ - "Next, we need to assign functional causal models (FCMs) to each node, which describe the data generation process from x to y with an error term. The auto assignment method compares different prediction models for each node and takes the one with the smallest error. The `quality` parameter controls the set of model types that are tested, where `BETTER` indicates some of the most common regression and classification models, such as trees, support vector regression etc. You can also use 'Good' which fits fewer models to speed up, or 'Best' that is computationally heavy. After assigning the models, we can fit them to the data:" + "Next, we need to assign functional causal models (FCMs) to each node, which describe the data generation process from x to y with an error term. The auto assignment method compares different prediction models for each node and takes the one with the smallest error. The `quality` parameter controls the set of model types that are tested, where `BETTER` indicates some of the most common regression and classification models, such as trees, support vector regression etc. You can also use `GOOD` which fits fewer models to speed up, or `BEST` that is computationally heavy (and requres AutoGluon to be installed). After assigning the models, we can fit them to the data:" ] }, { @@ -496,7 +508,7 @@ }, "outputs": [], "source": [ - "def calculate_difference_estimation(causal_model, df_old, df_new, target_column, difference_estimation_func, num_samples=2000, confidence_level=0.90, num_bootstrap_resamples=10):\n", + "def calculate_difference_estimation(causal_model, df_old, df_new, target_column, difference_estimation_func, num_samples=2000, confidence_level=0.90, num_bootstrap_resamples=4):\n", "\n", " difference_contribs, uncertainty_contribs = gcm.confidence_intervals(\n", " lambda : gcm.distribution_change(causal_model, \n", @@ -504,10 +516,8 @@ " df_new, \n", " target_column, \n", " num_samples=num_samples,\n", - " independence_test=lambda x, y: gcm.kernel_based(x.astype(float), y.astype(float)),\n", - " conditional_independence_test=lambda x, y, z: gcm.kernel_based(x.astype(float), y.astype(float), z.astype(float)),\n", " difference_estimation_func=difference_estimation_func,\n", - " shapley_config=gcm.shapley.ShapleyConfig(approximation_method=gcm.shapley.ShapleyApproximationMethods.PERMUTATION, num_permutations=20)),\n", + " shapley_config=gcm.shapley.ShapleyConfig(approximation_method=gcm.shapley.ShapleyApproximationMethods.PERMUTATION, num_permutations=50)),\n", " confidence_level=confidence_level,\n", " num_bootstrap_resamples=num_bootstrap_resamples\n", " )\n", @@ -537,6 +547,16 @@ "gcm.util.bar_plot(median_diff_contribs, median_diff_uncertainty, 'Contribution', figure_size=(10,5))" ] }, + { + "cell_type": "markdown", + "id": "6d9d2ba9-e78d-406d-beed-f2895aa05d65", + "metadata": {}, + "source": [ + "Here, we see that 'sp_spend' has the larges contribution to the change in the mean of 'sale', while the 'discount' and 'special_shopping_event' has little to none contribution. This aligns with the way how the data was generated.\n", + "\n", + "Taking a look at the tabular overview to look for significance based on the confidence intervals:" + ] + }, { "cell_type": "code", "execution_count": null, @@ -564,8 +584,6 @@ "id": "d2ab2655-0d80-4112-8e65-1a27a3622b37", "metadata": {}, "source": [ - "Here, we see that 'sp_spend' has the larges contrigution to the change in the mean of 'sale', while the 'discount', 'other_shopping_event' and 'special_shopping_event' has little to none contribution. This aligns with the way how the data was generated.\n", - "\n", "Next, we remove all variables that have a 0 as part of their confidence interval or are negative, i.e., do not have a clear significant positive contribution:" ] }, @@ -626,7 +644,7 @@ "id": "5908d58e-a928-4a85-9a72-2ec2a53fa3d0", "metadata": {}, "source": [ - "Section 4 above helps us to understand drivers for past growth. Now, looking forward to business planning, we conduct interventions to understand incremental contributions to KPIs. Intuitively, the spend types resulting in higher returns should be doubled down on. " + "Section 4 above helps us to understand drivers for past growth. Now, looking forward to business planning, we conduct interventions to understand incremental contributions to KPIs. Intuitively, the spend types resulting in higher returns should be doubled down on. Here, we explicitly remove 'sale', 'dpv' and 'special_shopping_event' as a possible intervention targets." ] }, { @@ -638,7 +656,7 @@ }, "outputs": [], "source": [ - "def intervention_influence(causal_model, target, data=None, step_size=1, non_interveneable_nodes=None, confidence_level=0.90, cap_value=None, prints=False):\n", + "def intervention_influence(causal_model, target, step_size=1, non_interveneable_nodes=None, confidence_level=0.95, prints=False, threshold_insignificant=0.0001):\n", " progress_bar_was_on = gcm.config.show_progress_bars\n", "\n", " if progress_bar_was_on:\n", @@ -665,47 +683,21 @@ " interventions_alternative = {node: intervention}\n", " interventions_reference = {node: non_intervention}\n", "\n", - " # Compute causal effects\n", - " if data is not None:\n", - " effect = gcm.confidence_intervals(\n", - " gcm.fit_and_compute(gcm.average_causal_effect,\n", - " causal_model,\n", - " auto_assign_quality=gcm.auto.AssignmentQuality.GOOD,\n", - " bootstrap_training_data=data,\n", - " target_node=target,\n", - " interventions_alternative=interventions_alternative,\n", - " interventions_reference=interventions_reference,\n", - " observed_data=data),\n", - " n_jobs=1,\n", - " num_bootstrap_resamples=10,\n", - " confidence_level=confidence_level)\n", - " else:\n", - " effect = gcm.confidence_intervals(\n", - " partial(gcm.average_causal_effect,\n", - " causal_model=causal_model,\n", - " target_node=target,\n", - " interventions_alternative=interventions_alternative,\n", - " interventions_reference=interventions_reference,\n", - " observed_data=data,\n", - " num_samples_to_draw=10000),\n", - " n_jobs=-1,\n", - " num_bootstrap_resamples=20,\n", - " confidence_level=confidence_level)\n", - "\n", + " effect = gcm.confidence_intervals(\n", + " partial(gcm.average_causal_effect,\n", + " causal_model=causal_model,\n", + " target_node=target,\n", + " interventions_alternative=interventions_alternative,\n", + " interventions_reference=interventions_reference,\n", + " num_samples_to_draw=10000),\n", + " n_jobs=-1,\n", + " num_bootstrap_resamples=40,\n", + " confidence_level=confidence_level)\n", "\n", " causal_effects[node] = effect[0][0]\n", " causal_effects_confidence_interval[node] = effect[1].squeeze()\n", - " \n", - " # Apply capping constraint\n", - " if cap_value is not None and node.endswith('_spend'):\n", - " if causal_effects[node] > cap_value:\n", - " causal_effects[node] = cap_value\n", - " capped_effects.append(node)\n", - " elif causal_effects[node] < -cap_value:\n", - " causal_effects[node] = -cap_value\n", - " capped_effects.append(node)\n", - "\n", - " # Apply non-negativity constraint\n", + "\n", + " # Apply non-negativity constraint - Here, spend cannot be negative. However, small negative values can happen in the analysis due to misspecifications.\n", " if node.endswith('_spend') and causal_effects[node] < 0:\n", " causal_effects[node] = 0\n", " causal_effects_confidence_interval[node] = [np.nan, np.nan]\n", @@ -713,10 +705,11 @@ " if progress_bar_was_on:\n", " gcm.config.enable_progress_bars()\n", "\n", + " print(causal_effects)\n", " if prints:\n", " for node in sorted(causal_effects, key=causal_effects.get, reverse=True):\n", - " if causal_effects[node] == 0:\n", - " print(f\"{'Increasing' if step_size > 0 else 'Decreasing'} {node} by {step_size} has no effect on {target}.\")\n", + " if abs(causal_effects[node]) < threshold_insignificant:\n", + " print(f\"{'Increasing' if step_size > 0 else 'Decreasing'} {node} by {step_size} has no significant effect on {target}.\")\n", " else:\n", " print(f\"{'Increasing' if step_size > 0 else 'Decreasing'} {node} by {step_size} {'increases' if causal_effects[node] > 0 else 'decreases'} {target} \"\n", " f\"by around {causal_effects[node]} with a confidence interval ({confidence_level * 100}%) of {causal_effects_confidence_interval[node]}.\")\n", @@ -743,7 +736,7 @@ }, "outputs": [], "source": [ - "interv_result = intervention_influence(causal_model=causal_model, target='sale', non_interveneable_nodes=['dpv', 'sale'], confidence_level=0.85, cap_value=20, prints=True)\n", + "interv_result = intervention_influence(causal_model=causal_model, target='sale', non_interveneable_nodes=['dpv', 'sale', 'special_shopping_event'], prints=True)\n", "interv_result" ] }, @@ -752,7 +745,7 @@ "id": "8bce37de-ca68-42ce-aac1-6a86d7834320", "metadata": {}, "source": [ - "We similarly filter to positively significant interventions, i.e., the spending with statistically significant positive returns. Note that with capping, 'causal effect' may not fall between lower and upper CI. The interpretation is, for each dollar spent on one type of ad, we receive X amount in return, with X indicated in the 'Causal Effect' column. " + "We similarly filter to positively significant interventions, i.e., the spending with statistically significant positive returns. The interpretation is, for each dollar spent on one type of ad, we receive X amount in return, with X indicated in the 'Causal Effect' column. " ] }, { @@ -764,8 +757,15 @@ }, "outputs": [], "source": [ - "interv_result_v2= filter_significant_rows(interv_result, 'positive', 'Upper CI', 'Lower CI')\n", - "interv_result_v2" + "filter_significant_rows(interv_result, 'positive', 'Upper CI', 'Lower CI')" + ] + }, + { + "cell_type": "markdown", + "id": "64f11dbf-cf72-42fa-a945-4450042c8588", + "metadata": {}, + "source": [ + "This tells us that there is a clear benefit in doubling down on 'sp_spend' and 'dsp_spend'. Note that the quantitative numbers here can be off due to model misspecifications, but they nevertheless provide some helpful insights." ] }, {