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Merge branch 'master' of gitlab.com:usi-si-teaching/msde/2022-2023/visual-analytics-atelier/group-projects/group-1

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Claudio Maggioni 2023-05-31 12:02:02 +02:00
commit 6b93623c6d
2 changed files with 92 additions and 91 deletions
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Elaborated_Data/normalized_data.csv
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@ -1,91 +1,91 @@
,Unnamed: 0,Ticker,Valuation,Financial Health,Estimated Growth,Past Performance ,Unnamed: 0,Ticker,Valuation,Financial Health,Estimated Growth,Past Performance
0,0,AAPL,105.20185265325186,91.27312587891294,111.32,66.0148171052622 0,0,AAPL,105.20185265325186,68.35038765130551,111.32,66.0148171052622
1,1,ABBV,200.0,87.14034308193199,54.12,65.83803735194121 1,1,ABBV,200.0,52.24276683339383,54.12,65.83803735194121
2,2,ABT,3.502927155884448,97.10915729637422,60.11,102.18215353548281 2,2,ABT,3.502927155884448,88.0023994023335,60.11,102.18215353548281
3,3,ACN,102.99006147737678,146.5852111543022,116.12,69.37291802458431 3,3,ACN,102.99006147737678,174.3246501276349,116.12,69.37291802458431
4,4,ADBE,157.08692422406043,105.41122532364618,138.99,67.88534342574849 4,4,ADBE,157.08692422406043,110.95230684925951,138.99,67.88534342574849
5,5,AMAT,75.81577697045441,101.80819279063635,135.94,85.19217777229771 5,5,AMAT,75.81577697045441,101.62798227154963,135.94,85.19217777229771
6,6,AMGN,168.77019572724964,83.45503615220474,80.13,71.10456290005165 6,6,AMGN,168.77019572724964,36.052642030930116,80.13,71.10456290005165
7,7,AMZN,128.19260030021755,92.5399579016255,0.0,10.343561187034048 7,7,AMZN,128.19260030021755,72.9032828488498,0.0,10.343561187034048
8,8,APD,148.0669503043199,91.18186622650158,117.97,66.30259668856391 8,8,APD,148.0669503043199,68.01579690245129,117.97,66.30259668856391
9,9,AVGO,174.0182170622495,85.49149673125568,112.7,67.97505869592548 9,9,AVGO,174.0182170622495,45.22873109083369,112.7,67.97505869592548
10,10,BA,200.0,88.45899771456277,199.97,200.0 10,10,BA,200.0,57.6021001677191,199.97,200.0
11,11,BAC,67.79173261178073,122.62143587847078,88.12,78.73693105719734 11,11,BAC,67.79173261178073,145.21990433600814,88.12,78.73693105719734
12,12,BDX,120.9311241861305,91.04741945362844,120.23,75.0926302092075 12,12,BDX,120.9311241861305,67.52121722126125,120.23,75.0926302092075
13,13,BIDU,192.47942261306,97.33251356390144,85.13,118.41983126540988 13,13,BIDU,192.47942261306,88.69123045017035,85.13,118.41983126540988
14,14,BMY,200.0,88.1293000093566,90.05,77.54667138353885 14,14,BMY,200.0,56.28224546262015,90.05,77.54667138353885
15,15,CAT,163.40118417419154,87.45836482385222,134.18,102.60690920936649 15,15,CAT,163.40118417419154,53.55509305520508,134.18,102.60690920936649
16,16,CCI,51.60759610039482,83.11031841390277,53.29,64.9139252760998 16,16,CCI,51.60759610039482,34.440086227734014,53.29,64.9139252760998
17,17,CHTR,197.12970389804275,83.64140709738348,150.4,56.834816031842664 17,17,CHTR,197.12970389804275,36.91713403869733,150.4,56.834816031842664
18,18,CMCSA,186.53241729625944,89.7141435974903,108.35,83.67975731415228 18,18,CMCSA,186.53241729625944,62.508078075905985,108.35,83.67975731415228
19,19,CME,70.51225582214956,197.45041307754047,93.92,67.21432356277394 19,19,CME,70.51225582214956,199.74429209968443,93.92,67.21432356277394
20,20,COST,81.21604015295037,112.60518280329671,115.0,64.2361867612725 20,20,COST,81.21604015295037,127.11342100388643,115.0,64.2361867612725
21,21,CRM,164.6066568792097,111.13597542401217,159.84,100.45749680810641 21,21,CRM,164.6066568792097,124.0530554424684,159.84,100.45749680810641
22,22,CSCO,138.45301784981535,132.92094138672394,108.2,68.3344933392558 22,22,CSCO,138.45301784981535,159.75805206019515,108.2,68.3344933392558
23,23,CSX,111.84871270542078,87.73355418263719,112.16,76.0800366682177 23,23,CSX,111.84871270542078,54.680411171067874,112.16,76.0800366682177
24,24,CVS,165.73828672281633,91.7653314706724,91.29,76.76473012861851 24,24,CVS,165.73828672281633,70.13952258804798,91.29,76.76473012861851
25,25,CVX,107.56926163193683,130.32510900427462,41.41,79.66975386460486 25,25,CVX,107.56926163193683,156.4232925934618,41.41,79.66975386460486
26,26,D,15.290217372440877,87.1300009352824,99.27,67.19201264338382 26,26,D,15.290217372440877,52.19987452348332,99.27,67.19201264338382
27,27,DE,175.73738275715903,84.68485645841167,136.33,77.66540274605386 27,27,DE,175.73738275715903,41.664205111032715,136.33,77.66540274605386
28,28,DHR,89.74740588127347,97.54025196764677,85.42,91.32932741301067 28,28,DHR,89.74740588127347,89.32801962827195,85.42,91.32932741301067
29,29,DIS,177.2304186526414,97.211927884558,166.75,68.80763358274393 29,29,DIS,177.2304186526414,88.31988255963364,166.75,68.80763358274393
30,30,DUK,98.73477290665436,87.77084286355695,100.27,62.22564604607788 30,30,DUK,98.73477290665436,54.83216775931689,100.27,62.22564604607788
31,31,EXC,114.53011384059165,87.75968377384388,102.77,69.50891012595386 31,31,EXC,114.53011384059165,54.786770860233815,102.77,69.50891012595386
32,32,FDX,165.3799074709708,87.42665956706824,95.17,54.96214905661287 32,32,FDX,165.3799074709708,53.42483316963083,95.17,54.96214905661287
33,33,FIS,189.15029196529755,91.38143775152557,81.72,66.41344938655487 33,33,FIS,189.15029196529755,68.74632805013584,81.72,66.41344938655487
34,34,GE,93.89495615810021,112.70868281352884,175.64,124.49891622222334 34,34,GE,93.89495615810021,127.32471174786522,175.64,124.49891622222334
35,35,GILD,192.9724525123606,88.40999016045565,82.69,83.46083095677405 35,35,GILD,192.9724525123606,57.406746396225685,82.69,83.46083095677405
36,36,GOOGL,174.97659262783273,142.86606486439246,153.22,50.36697854819834 36,36,GOOGL,174.97659262783273,170.80828094983508,153.22,50.36697854819834
37,37,GS,135.25159681247422,101.23031576744079,77.22,64.49809547105107 37,37,GS,135.25159681247422,100.04605564885955,77.22,64.49809547105107
38,38,HD,149.68177206214273,83.96621489926906,81.72,66.28043734328139 38,38,HD,149.68177206214273,38.41161739915208,81.72,66.28043734328139
39,39,HON,127.63986325220993,91.74395100952218,110.23,70.60128984661448 39,39,HON,127.63986325220993,70.06234435281297,110.23,70.60128984661448
40,40,IBM,134.77945084892974,87.00731101342731,104.36,67.05822404426115 40,40,IBM,134.77945084892974,51.689998571464315,104.36,67.05822404426115
41,41,INTC,37.22910058041551,94.53478392384825,101.37,39.79063206782623 41,41,INTC,37.22910058041551,79.73972351151389,101.37,39.79063206782623
42,42,ISRG,88.1824052503914,86.18849955277852,147.05,63.99659688732255 42,42,ISRG,88.1824052503914,48.2374138477517,147.05,63.99659688732255
43,43,JNJ,64.37383689552667,99.72330114583912,92.98,72.7395741022917 43,43,JNJ,64.37383689552667,95.80075746770112,92.98,72.7395741022917
44,44,JPM,91.18219867928472,114.76133290510394,53.49,87.57208391417619 44,44,JPM,91.18219867928472,131.40245610974392,53.49,87.57208391417619
45,45,KO,84.61107192396322,87.64935894296252,101.12,73.8539904481114 45,45,KO,84.61107192396322,54.33711955549583,101.12,73.8539904481114
46,46,LIN,86.94865586807126,97.48486218669902,113.68,145.50692299373404 46,46,LIN,86.94865586807126,89.15859465222107,113.68,145.50692299373404
47,47,LLY,143.87624697553244,90.20764020964458,173.14,57.3242838499275 47,47,LLY,143.87624697553244,64.38690253392383,173.14,57.3242838499275
48,48,LMT,92.00055125094745,93.61540663667986,125.16,63.02141545211876 48,48,LMT,92.00055125094745,76.63804579578257,125.16,63.02141545211876
49,49,LOW,170.9052945742457,82.04827653234443,108.64,73.22625178253621 49,49,LOW,170.9052945742457,29.35877594139251,108.64,73.22625178253621
50,50,LRCX,149.19248955823937,95.32575646727052,72.08,87.76904354555414 50,50,LRCX,149.19248955823937,82.34328938517204,72.08,87.76904354555414
51,51,MA,158.55479153795613,88.65386527495919,162.13,72.92481223231144 51,51,MA,158.55479153795613,58.37601717453873,162.13,72.92481223231144
52,52,MCD,80.29678974670271,81.7305112785843,114.02,76.93034944230925 52,52,MCD,80.29678974670271,27.804407946752434,114.02,76.93034944230925
53,53,MCO,136.65551753769535,85.49843400732152,131.24,81.57050820275153 53,53,MCO,136.65551753769535,45.25899888764812,131.24,81.57050820275153
54,54,MDT,118.16829492456176,92.8450544959632,76.89,63.45384058629298 54,54,MDT,118.16829492456176,73.97472665545837,76.89,63.45384058629298
55,55,MMC,127.51723231747657,87.63052220000459,119.66,68.71739139872444 55,55,MMC,127.51723231747657,54.26019510471775,119.66,68.71739139872444
56,56,MMM,61.806185203921274,90.57815945543335,79.75,74.15702943811968 56,56,MMM,61.806185203921274,65.77944876236245,79.75,74.15702943811968
57,57,MO,20.53657072101916,83.5046846085962,90.89,62.63359712085422 57,57,MO,20.53657072101916,36.28343931065285,90.89,62.63359712085422
58,58,MRK,125.4034643977795,93.89099066030111,112.06,79.7656401374788 58,58,MRK,125.4034643977795,77.57644064971683,112.06,79.7656401374788
59,59,MSFT,125.93383004616338,107.48643824754653,132.72,68.42449476554214 59,59,MSFT,125.93383004616338,115.92956749228225,132.72,68.42449476554214
60,60,NEE,114.28104697519642,87.86381321251984,115.15,85.46125669802359 60,60,NEE,114.28104697519642,55.20978559802842,115.15,85.46125669802359
61,61,NFLX,154.19903240107166,93.24989411142877,166.33,88.23720618918928 61,61,NFLX,154.19903240107166,75.38180697731005,166.33,88.23720618918928
62,62,NKE,136.60890150159412,91.35841457629517,113.97,108.80960310364354 62,62,NKE,136.60890150159412,68.6622715229345,113.97,108.80960310364354
63,63,NSC,101.36586853042037,89.20863062134259,98.62,72.7858647538479 63,63,NSC,101.36586853042037,60.55447099893274,98.62,72.7858647538479
64,64,NVDA,83.27167524546657,93.4779727148943,164.85,31.849171398287666 64,64,NVDA,83.27167524546657,76.1672591641748,164.85,31.849171398287666
65,65,ORCL,142.70944266140097,83.42206901803506,116.42,70.92136793998438 65,65,ORCL,142.70944266140097,35.89918874950595,116.42,70.92136793998438
66,66,PEP,88.94786061768049,87.30671593584621,110.23,75.58570064005832 66,66,PEP,88.94786061768049,52.9309039494008,110.23,75.58570064005832
67,67,PFE,175.63787032294806,104.37403854217264,22.44,108.31326906980352 67,67,PFE,175.63787032294806,108.36004105657459,22.44,108.31326906980352
68,68,PG,64.91401871892884,92.49093498053787,98.17,65.30915014958158 68,68,PG,64.91401871892884,72.73023037988067,98.17,65.30915014958158
69,69,PM,119.85073876884272,82.85582774836678,108.25,72.06978657720182 69,69,PM,119.85073876884272,33.238182006680745,108.25,72.06978657720182
70,70,PYPL,193.33300975831932,111.897714400579,146.26,79.23875043299401 70,70,PYPL,193.33300975831932,125.65411783574227,146.26,79.23875043299401
71,71,SCHW,154.01759201257377,145.37010019920012,119.99,70.48713540796912 71,71,SCHW,154.01759201257377,173.20916630274402,119.99,70.48713540796912
72,72,SO,85.80487600994968,87.29633007414964,107.75,85.681572457534 72,72,SO,85.80487600994968,52.88804944862483,107.75,85.681572457534
73,73,SPG,9.996654397458014,82.81093561235873,114.17,87.64593238546239 73,73,SPG,9.996654397458014,33.02515044863611,114.17,87.64593238546239
74,74,SPGI,127.52131883874166,101.45894697883429,133.43,68.98828676742554 74,74,SPGI,127.52131883874166,100.67491493719751,133.43,68.98828676742554
75,75,T,62.4154643001036,89.00131684237897,69.11,78.97575456014215 75,75,T,62.4154643001036,59.7446556316317,69.11,78.97575456014215
76,76,TGT,186.2853419515832,89.98024192579905,41.98,57.73409404457928 76,76,TGT,186.2853419515832,63.524603362870124,41.98,57.73409404457928
77,77,TMO,74.36621243620229,89.5618195230685,114.02,73.71429954550699 77,77,TMO,74.36621243620229,61.92252488534686,114.02,73.71429954550699
78,78,TMUS,197.15621675792158,85.74814478393527,199.49,78.49836132485574 78,78,TMUS,197.15621675792158,46.34416253371296,199.49,78.49836132485574
79,79,TSLA,155.64037394861813,188.17185266067338,124.08,80.58222343783717 79,79,TSLA,155.64037394861813,197.72863178235542,124.08,80.58222343783717
80,80,TXN,99.30575999707457,90.55609065377291,120.95,80.05353115294714 80,80,TXN,99.30575999707457,65.69693584902097,120.95,80.05353115294714
81,81,UNH,156.98803331417588,96.19549222156785,134.93,73.24946125157986 81,81,UNH,156.98803331417588,85.13895735772505,134.93,73.24946125157986
82,82,UNP,108.63594543845102,85.61946199526078,116.17,66.32475976772288 82,82,UNP,108.63594543845102,45.78600115998577,116.17,66.32475976772288
83,83,UPS,119.5573457818638,89.80989999120914,89.41,68.2220717003117 83,83,UPS,119.5573457818638,62.87481139800505,89.41,68.2220717003117
84,84,USB,179.21741918122777,110.5515927499423,90.49,67.4823393537137 84,84,USB,179.21741918122777,122.80336075731796,90.49,67.4823393537137
85,85,V,160.11517917436944,95.1460154537915,141.79,79.74166492408365 85,85,V,160.11517917436944,81.75682714969174,141.79,79.74166492408365
86,86,VZ,33.803385687015506,86.76789485014307,70.84,63.49717039153255 86,86,VZ,33.803385687015506,50.689478058528096,70.84,63.49717039153255
87,87,WFC,187.98025116241868,113.0889697385693,99.67,49.02255338919394 87,87,WFC,187.98025116241868,128.0962877459593,99.67,49.02255338919394
88,88,WMT,81.80078636041182,95.28778506125856,98.07,90.23868149368765 88,88,WMT,81.80078636041182,82.21964676130035,98.07,90.23868149368765
89,89,XOM,146.6696098368374,120.37115026559049,32.26,87.08011637537514 89,89,XOM,146.6696098368374,141.5338927985445,32.26,87.08011637537514

1 Unnamed: 0 Ticker Valuation Financial Health Estimated Growth Past Performance
2 0 0 AAPL 105.20185265325186 91.27312587891294 68.35038765130551 111.32 66.0148171052622
3 1 1 ABBV 200.0 87.14034308193199 52.24276683339383 54.12 65.83803735194121
4 2 2 ABT 3.502927155884448 97.10915729637422 88.0023994023335 60.11 102.18215353548281
5 3 3 ACN 102.99006147737678 146.5852111543022 174.3246501276349 116.12 69.37291802458431
6 4 4 ADBE 157.08692422406043 105.41122532364618 110.95230684925951 138.99 67.88534342574849
7 5 5 AMAT 75.81577697045441 101.80819279063635 101.62798227154963 135.94 85.19217777229771
8 6 6 AMGN 168.77019572724964 83.45503615220474 36.052642030930116 80.13 71.10456290005165
9 7 7 AMZN 128.19260030021755 92.5399579016255 72.9032828488498 0.0 10.343561187034048
10 8 8 APD 148.0669503043199 91.18186622650158 68.01579690245129 117.97 66.30259668856391
11 9 9 AVGO 174.0182170622495 85.49149673125568 45.22873109083369 112.7 67.97505869592548
12 10 10 BA 200.0 88.45899771456277 57.6021001677191 199.97 200.0
13 11 11 BAC 67.79173261178073 122.62143587847078 145.21990433600814 88.12 78.73693105719734
14 12 12 BDX 120.9311241861305 91.04741945362844 67.52121722126125 120.23 75.0926302092075
15 13 13 BIDU 192.47942261306 97.33251356390144 88.69123045017035 85.13 118.41983126540988
16 14 14 BMY 200.0 88.1293000093566 56.28224546262015 90.05 77.54667138353885
17 15 15 CAT 163.40118417419154 87.45836482385222 53.55509305520508 134.18 102.60690920936649
18 16 16 CCI 51.60759610039482 83.11031841390277 34.440086227734014 53.29 64.9139252760998
19 17 17 CHTR 197.12970389804275 83.64140709738348 36.91713403869733 150.4 56.834816031842664
20 18 18 CMCSA 186.53241729625944 89.7141435974903 62.508078075905985 108.35 83.67975731415228
21 19 19 CME 70.51225582214956 197.45041307754047 199.74429209968443 93.92 67.21432356277394
22 20 20 COST 81.21604015295037 112.60518280329671 127.11342100388643 115.0 64.2361867612725
23 21 21 CRM 164.6066568792097 111.13597542401217 124.0530554424684 159.84 100.45749680810641
24 22 22 CSCO 138.45301784981535 132.92094138672394 159.75805206019515 108.2 68.3344933392558
25 23 23 CSX 111.84871270542078 87.73355418263719 54.680411171067874 112.16 76.0800366682177
26 24 24 CVS 165.73828672281633 91.7653314706724 70.13952258804798 91.29 76.76473012861851
27 25 25 CVX 107.56926163193683 130.32510900427462 156.4232925934618 41.41 79.66975386460486
28 26 26 D 15.290217372440877 87.1300009352824 52.19987452348332 99.27 67.19201264338382
29 27 27 DE 175.73738275715903 84.68485645841167 41.664205111032715 136.33 77.66540274605386
30 28 28 DHR 89.74740588127347 97.54025196764677 89.32801962827195 85.42 91.32932741301067
31 29 29 DIS 177.2304186526414 97.211927884558 88.31988255963364 166.75 68.80763358274393
32 30 30 DUK 98.73477290665436 87.77084286355695 54.83216775931689 100.27 62.22564604607788
33 31 31 EXC 114.53011384059165 87.75968377384388 54.786770860233815 102.77 69.50891012595386
34 32 32 FDX 165.3799074709708 87.42665956706824 53.42483316963083 95.17 54.96214905661287
35 33 33 FIS 189.15029196529755 91.38143775152557 68.74632805013584 81.72 66.41344938655487
36 34 34 GE 93.89495615810021 112.70868281352884 127.32471174786522 175.64 124.49891622222334
37 35 35 GILD 192.9724525123606 88.40999016045565 57.406746396225685 82.69 83.46083095677405
38 36 36 GOOGL 174.97659262783273 142.86606486439246 170.80828094983508 153.22 50.36697854819834
39 37 37 GS 135.25159681247422 101.23031576744079 100.04605564885955 77.22 64.49809547105107
40 38 38 HD 149.68177206214273 83.96621489926906 38.41161739915208 81.72 66.28043734328139
41 39 39 HON 127.63986325220993 91.74395100952218 70.06234435281297 110.23 70.60128984661448
42 40 40 IBM 134.77945084892974 87.00731101342731 51.689998571464315 104.36 67.05822404426115
43 41 41 INTC 37.22910058041551 94.53478392384825 79.73972351151389 101.37 39.79063206782623
44 42 42 ISRG 88.1824052503914 86.18849955277852 48.2374138477517 147.05 63.99659688732255
45 43 43 JNJ 64.37383689552667 99.72330114583912 95.80075746770112 92.98 72.7395741022917
46 44 44 JPM 91.18219867928472 114.76133290510394 131.40245610974392 53.49 87.57208391417619
47 45 45 KO 84.61107192396322 87.64935894296252 54.33711955549583 101.12 73.8539904481114
48 46 46 LIN 86.94865586807126 97.48486218669902 89.15859465222107 113.68 145.50692299373404
49 47 47 LLY 143.87624697553244 90.20764020964458 64.38690253392383 173.14 57.3242838499275
50 48 48 LMT 92.00055125094745 93.61540663667986 76.63804579578257 125.16 63.02141545211876
51 49 49 LOW 170.9052945742457 82.04827653234443 29.35877594139251 108.64 73.22625178253621
52 50 50 LRCX 149.19248955823937 95.32575646727052 82.34328938517204 72.08 87.76904354555414
53 51 51 MA 158.55479153795613 88.65386527495919 58.37601717453873 162.13 72.92481223231144
54 52 52 MCD 80.29678974670271 81.7305112785843 27.804407946752434 114.02 76.93034944230925
55 53 53 MCO 136.65551753769535 85.49843400732152 45.25899888764812 131.24 81.57050820275153
56 54 54 MDT 118.16829492456176 92.8450544959632 73.97472665545837 76.89 63.45384058629298
57 55 55 MMC 127.51723231747657 87.63052220000459 54.26019510471775 119.66 68.71739139872444
58 56 56 MMM 61.806185203921274 90.57815945543335 65.77944876236245 79.75 74.15702943811968
59 57 57 MO 20.53657072101916 83.5046846085962 36.28343931065285 90.89 62.63359712085422
60 58 58 MRK 125.4034643977795 93.89099066030111 77.57644064971683 112.06 79.7656401374788
61 59 59 MSFT 125.93383004616338 107.48643824754653 115.92956749228225 132.72 68.42449476554214
62 60 60 NEE 114.28104697519642 87.86381321251984 55.20978559802842 115.15 85.46125669802359
63 61 61 NFLX 154.19903240107166 93.24989411142877 75.38180697731005 166.33 88.23720618918928
64 62 62 NKE 136.60890150159412 91.35841457629517 68.6622715229345 113.97 108.80960310364354
65 63 63 NSC 101.36586853042037 89.20863062134259 60.55447099893274 98.62 72.7858647538479
66 64 64 NVDA 83.27167524546657 93.4779727148943 76.1672591641748 164.85 31.849171398287666
67 65 65 ORCL 142.70944266140097 83.42206901803506 35.89918874950595 116.42 70.92136793998438
68 66 66 PEP 88.94786061768049 87.30671593584621 52.9309039494008 110.23 75.58570064005832
69 67 67 PFE 175.63787032294806 104.37403854217264 108.36004105657459 22.44 108.31326906980352
70 68 68 PG 64.91401871892884 92.49093498053787 72.73023037988067 98.17 65.30915014958158
71 69 69 PM 119.85073876884272 82.85582774836678 33.238182006680745 108.25 72.06978657720182
72 70 70 PYPL 193.33300975831932 111.897714400579 125.65411783574227 146.26 79.23875043299401
73 71 71 SCHW 154.01759201257377 145.37010019920012 173.20916630274402 119.99 70.48713540796912
74 72 72 SO 85.80487600994968 87.29633007414964 52.88804944862483 107.75 85.681572457534
75 73 73 SPG 9.996654397458014 82.81093561235873 33.02515044863611 114.17 87.64593238546239
76 74 74 SPGI 127.52131883874166 101.45894697883429 100.67491493719751 133.43 68.98828676742554
77 75 75 T 62.4154643001036 89.00131684237897 59.7446556316317 69.11 78.97575456014215
78 76 76 TGT 186.2853419515832 89.98024192579905 63.524603362870124 41.98 57.73409404457928
79 77 77 TMO 74.36621243620229 89.5618195230685 61.92252488534686 114.02 73.71429954550699
80 78 78 TMUS 197.15621675792158 85.74814478393527 46.34416253371296 199.49 78.49836132485574
81 79 79 TSLA 155.64037394861813 188.17185266067338 197.72863178235542 124.08 80.58222343783717
82 80 80 TXN 99.30575999707457 90.55609065377291 65.69693584902097 120.95 80.05353115294714
83 81 81 UNH 156.98803331417588 96.19549222156785 85.13895735772505 134.93 73.24946125157986
84 82 82 UNP 108.63594543845102 85.61946199526078 45.78600115998577 116.17 66.32475976772288
85 83 83 UPS 119.5573457818638 89.80989999120914 62.87481139800505 89.41 68.2220717003117
86 84 84 USB 179.21741918122777 110.5515927499423 122.80336075731796 90.49 67.4823393537137
87 85 85 V 160.11517917436944 95.1460154537915 81.75682714969174 141.79 79.74166492408365
88 86 86 VZ 33.803385687015506 86.76789485014307 50.689478058528096 70.84 63.49717039153255
89 87 87 WFC 187.98025116241868 113.0889697385693 128.0962877459593 99.67 49.02255338919394
90 88 88 WMT 81.80078636041182 95.28778506125856 82.21964676130035 98.07 90.23868149368765
91 89 89 XOM 146.6696098368374 120.37115026559049 141.5338927985445 32.26 87.08011637537514

3
indexer/indexer.py
View file

@ -99,7 +99,8 @@ def normalizer():
v_values = (200/(1+(1/9*not_normalized['Valuation']**2))) # VALUATION STAT v_values = (200/(1+(1/9*not_normalized['Valuation']**2))) # VALUATION STAT
not_normalized['Valuation'] = v_values not_normalized['Valuation'] = v_values
fh_values= (200/(1+math.e**( -0.1*(-not_normalized['Financial Health'].mean()+not_normalized['Financial Health'])))) #FINANCIAL HEALTH STAT # fh_values= (200/(1+math.e**( -0.1*(-not_normalized['Financial Health'].mean()+not_normalized['Financial Health'])))) #FINANCIAL HEALTH STAT
fh_values = (200-200*math.e**(-0.138*not_normalized['Financial Health'])) #FINANCIAL HEALTH STAT
not_normalized['Financial Health'] = fh_values not_normalized['Financial Health'] = fh_values
not_normalized['Estimated Growth'] = not_normalized['Estimated Growth'].str.strip("%").astype("float") not_normalized['Estimated Growth'] = not_normalized['Estimated Growth'].str.strip("%").astype("float")
eg_values= (200/(1+math.e**( -0.1*(-not_normalized['Estimated Growth'].mean()+not_normalized['Estimated Growth'])))) #ESTIMATED GROWTH STAT eg_values= (200/(1+math.e**( -0.1*(-not_normalized['Estimated Growth'].mean()+not_normalized['Estimated Growth'])))) #ESTIMATED GROWTH STAT