Actividad - Lesiones en la Cabeza
Aracely Quezada A01235931
2023-09-30
The project comes from a North Carolina, US company that manages workers’ compensation claims for other clients (name & location protected for confidentiality). This company wants you to advise them on how data analytics can be used to identify major drivers of costs of claims and the time to process claims. The company is interested in using data analytics to become efficient and responsive to claimants. The gist of workers’ compensation is as follows: When a worker of a participating company is injured in performance of her/his job, she/he can file a claim for the medical expenses and loss of wages related to the injury. When a claim is filed for the first time, a unique claim identifier is created and the details of the claims are recorded. The claim details are updated as payments are made to settle the claim. Payments can be made for various activities related to a claim, such as doctor visit, pharmacy, etc.
##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, unionLimpiar Base de Datos
bd1 <- read.csv("/Users/araquezada/Documents/Tec/7mo Semestre/Analítica para Negocios/Modulo 4/Actividad Análisis /ClaimsData2018 (1).csv")
bd2 <- read.csv("/Users/araquezada/Documents/Tec/7mo Semestre/Analítica para Negocios/Modulo 4/Actividad Análisis /TransactionsSummary2018.csv")Juntar Bases de Datos y Filtrar
bd <- merge(bd1, bd2, by="ClaimID" , all=TRUE)
#Eliminar columas X
bdlimpia <- bd%>% select (- (X: X.22))
bdcabeza <- filter(bdlimpia, BodyPartRegion %in% c("Head"))
count(bdcabeza, BodyPartRegion, sort=TRUE)## BodyPartRegion n
## 1 Head 12832## ClaimID TotalPaid TotalReserves TotalRecovery
## Min. : 777635 Min. : 0.0 Min. : 0 Min. : 0.00
## 1st Qu.: 808894 1st Qu.: 36.2 1st Qu.: 0 1st Qu.: 0.00
## Median : 842276 Median : 157.6 Median : 0 Median : 0.00
## Mean :10578303 Mean : 3238.6 Mean : 1230 Mean : 59.17
## 3rd Qu.:22721561 3rd Qu.: 501.0 3rd Qu.: 0 3rd Qu.: 0.00
## Max. :62203645 Max. :1353862.0 Max. :1303215 Max. :90357.52
##
## IndemnityPaid OtherPaid ClaimStatus IncidentDate
## Min. : 0 Min. : 0.0 Length:12832 Length:12832
## 1st Qu.: 0 1st Qu.: 36.2 Class :character Class :character
## Median : 0 Median : 156.0 Mode :character Mode :character
## Mean : 1415 Mean : 1823.8
## 3rd Qu.: 0 3rd Qu.: 484.0
## Max. :450680 Max. :1156503.6
##
## IncidentDescription ReturnToWorkDate AverageWeeklyWage ClaimantOpenedDate
## Length:12832 Length:12832 Length:12832 Length:12832
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## ClaimantClosedDate EmployerNotificationDate ReceivedDate
## Length:12832 Length:12832 Length:12832
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## IsDenied ClaimantAge_at_DOI Gender ClaimantType
## Min. :0.0000 Length:12832 Length:12832 Length:12832
## 1st Qu.:0.0000 Class :character Class :character Class :character
## Median :0.0000 Mode :character Mode :character Mode :character
## Mean :0.0272
## 3rd Qu.:0.0000
## Max. :1.0000
##
## InjuryNature BodyPartRegion BodyPart BillReviewALE
## Length:12832 Length:12832 Length:12832 Min. : -456.00
## Class :character Class :character Class :character 1st Qu.: 16.00
## Mode :character Mode :character Mode :character Median : 24.00
## Mean : 177.61
## 3rd Qu.: 68.47
## Max. :16208.91
## NA's :10458
## Hospital PhysicianOutpatient Rx
## Min. :-12570.4 Min. : -549.5 Min. : 0.00
## 1st Qu.: 205.3 1st Qu.: 109.0 1st Qu.: 22.50
## Median : 569.6 Median : 215.7 Median : 58.95
## Mean : 4007.1 Mean : 1595.5 Mean : 1605.50
## 3rd Qu.: 2124.9 3rd Qu.: 681.9 3rd Qu.: 185.10
## Max. :194966.4 Max. :310220.3 Max. :210564.39
## NA's :10878 NA's :8003 NA's :11076## Rows: 12,832
## Columns: 26
## $ ClaimID <int> 777635, 777647, 777649, 777650, 777677, 77768…
## $ TotalPaid <dbl> 66.68, 60.01, 439.71, 45.99, 682.68, 58.93, 3…
## $ TotalReserves <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ TotalRecovery <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ IndemnityPaid <dbl> 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.0…
## $ OtherPaid <dbl> 66.68, 60.01, 439.71, 45.99, 682.68, 58.93, 3…
## $ ClaimStatus <chr> "C", "C", "C", "C", "C", "C", "C", "C", "C", …
## $ IncidentDate <chr> "01/07/99", "02/07/99", "02/07/99", "02/07/99…
## $ IncidentDescription <chr> "EE. Alleges cleaning restroom in ninth floor…
## $ ReturnToWorkDate <chr> "#VALUE!", "#VALUE!", "#VALUE!", "#VALUE!", "…
## $ AverageWeeklyWage <chr> "NULL", "NULL", "NULL", "NULL", "NULL", "NULL…
## $ ClaimantOpenedDate <chr> "16/07/99", "16/07/99", "19/07/99", "14/07/99…
## $ ClaimantClosedDate <chr> "31/03/05", "31/03/05", "31/03/05", "31/03/05…
## $ EmployerNotificationDate <chr> "01/07/99", "02/07/99", "02/07/99", "02/07/99…
## $ ReceivedDate <chr> "15/07/99", "15/07/99", "19/07/99", "14/07/99…
## $ IsDenied <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ ClaimantAge_at_DOI <chr> "43", "NULL", "NULL", "NULL", "NULL", "NULL",…
## $ Gender <chr> "Female", "Male", "Male", "Female", "Female",…
## $ ClaimantType <chr> "Medical Only", "Medical Only", "Medical Only…
## $ InjuryNature <chr> "Poisoning?Chemical (Other Than Metals)", "Co…
## $ BodyPartRegion <chr> "Head", "Head", "Head", "Head", "Head", "Head…
## $ BodyPart <chr> "Eyes", "Eyes", "Eyes", "Eyes", "Eyes", "Mult…
## $ BillReviewALE <dbl> NA, NA, NA, 264, NA, NA, NA, NA, NA, NA, NA, …
## $ Hospital <dbl> NA, NA, NA, 730.14, NA, NA, 214.79, 189.05, N…
## $ PhysicianOutpatient <dbl> NA, NA, NA, 3493.30, 0.00, 327.64, 361.98, 28…
## $ Rx <dbl> NA, NA, 15.16, 417.90, NA, NA, 19.99, NA, NA,…Observaciones
- Total Paid, Indemity Paid, Other Paid, BillReviewALE, PhysicianOutPatient, Hospital, ClaimantAge_at_DOI tienen números negativos.
- Hay muchos NA’s.
- Las variables de fecha están en carácter
Cambiar a Fechas
bdcabeza$ClaimantOpenedDate <- as.Date(bdcabeza$ClaimantOpenedDate, format ="%d/%m/%y")
bdcabeza$ClaimantClosedDate <- as.Date(bdcabeza$ClaimantClosedDate, format ="%d/%m/%y")
bdcabeza$IncidentDate <- as.Date(bdcabeza$IncidentDate, format ="%d/%m/%y")
bdcabeza$EmployerNotificationDate <- as.Date(bdcabeza$EmployerNotificationDate, format ="%d/%m/%y")
bdcabeza$ReceivedDate <- as.Date(bdcabeza$ReceivedDate, format ="%d/%m/%y")
summary(bdcabeza)## ClaimID TotalPaid TotalReserves TotalRecovery
## Min. : 777635 Min. : 0.0 Min. : 0 Min. : 0.00
## 1st Qu.: 808894 1st Qu.: 36.2 1st Qu.: 0 1st Qu.: 0.00
## Median : 842276 Median : 157.6 Median : 0 Median : 0.00
## Mean :10578303 Mean : 3238.6 Mean : 1230 Mean : 59.17
## 3rd Qu.:22721561 3rd Qu.: 501.0 3rd Qu.: 0 3rd Qu.: 0.00
## Max. :62203645 Max. :1353862.0 Max. :1303215 Max. :90357.52
##
## IndemnityPaid OtherPaid ClaimStatus IncidentDate
## Min. : 0 Min. : 0.0 Length:12832 Min. :1976-10-29
## 1st Qu.: 0 1st Qu.: 36.2 Class :character 1st Qu.:2000-06-20
## Median : 0 Median : 156.0 Mode :character Median :2005-01-19
## Mean : 1415 Mean : 1823.8 Mean :2005-03-21
## 3rd Qu.: 0 3rd Qu.: 484.0 3rd Qu.:2010-04-12
## Max. :450680 Max. :1156503.6 Max. :2014-06-26
##
## IncidentDescription ReturnToWorkDate AverageWeeklyWage ClaimantOpenedDate
## Length:12832 Length:12832 Length:12832 Min. :1986-09-03
## Class :character Class :character Class :character 1st Qu.:2000-07-20
## Mode :character Mode :character Mode :character Median :2005-02-25
## Mean :2005-04-28
## 3rd Qu.:2010-04-28
## Max. :2014-06-30
##
## ClaimantClosedDate EmployerNotificationDate ReceivedDate
## Min. :2000-03-08 Min. :1976-10-30 Min. :1986-09-03
## 1st Qu.:2005-03-31 1st Qu.:2000-05-15 1st Qu.:2000-07-25
## Median :2007-04-12 Median :2005-03-31 Median :2005-02-22
## Mean :2008-01-25 Mean :2005-04-28 Mean :2005-04-28
## 3rd Qu.:2010-09-20 3rd Qu.:2010-09-18 3rd Qu.:2010-05-06
## Max. :2014-06-30 Max. :2014-06-26 Max. :2033-09-18
## NA's :369 NA's :1184
## IsDenied ClaimantAge_at_DOI Gender ClaimantType
## Min. :0.0000 Length:12832 Length:12832 Length:12832
## 1st Qu.:0.0000 Class :character Class :character Class :character
## Median :0.0000 Mode :character Mode :character Mode :character
## Mean :0.0272
## 3rd Qu.:0.0000
## Max. :1.0000
##
## InjuryNature BodyPartRegion BodyPart BillReviewALE
## Length:12832 Length:12832 Length:12832 Min. : -456.00
## Class :character Class :character Class :character 1st Qu.: 16.00
## Mode :character Mode :character Mode :character Median : 24.00
## Mean : 177.61
## 3rd Qu.: 68.47
## Max. :16208.91
## NA's :10458
## Hospital PhysicianOutpatient Rx
## Min. :-12570.4 Min. : -549.5 Min. : 0.00
## 1st Qu.: 205.3 1st Qu.: 109.0 1st Qu.: 22.50
## Median : 569.6 Median : 215.7 Median : 58.95
## Mean : 4007.1 Mean : 1595.5 Mean : 1605.50
## 3rd Qu.: 2124.9 3rd Qu.: 681.9 3rd Qu.: 185.10
## Max. :194966.4 Max. :310220.3 Max. :210564.39
## NA's :10878 NA's :8003 NA's :11076Cambiar a Numérico
bdcabeza$TotalPaid <- as.numeric(bdcabeza$TotalPaid)
bdcabeza$TotalReserves <- as.numeric(bdcabeza$TotalReserves)
bdcabeza$TotalRecovery <- as.numeric(bdcabeza$TotalRecovery)
bdcabeza$AverageWeeklyWage <- as.numeric(bdcabeza$AverageWeeklyWage)## Warning: NAs introduced by coercion## Warning: NAs introduced by coercion## Rows: 12,832
## Columns: 26
## $ ClaimID <int> 777635, 777647, 777649, 777650, 777677, 77768…
## $ TotalPaid <dbl> 66.68, 60.01, 439.71, 45.99, 682.68, 58.93, 3…
## $ TotalReserves <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ TotalRecovery <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ IndemnityPaid <dbl> 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.0…
## $ OtherPaid <dbl> 66.68, 60.01, 439.71, 45.99, 682.68, 58.93, 3…
## $ ClaimStatus <chr> "C", "C", "C", "C", "C", "C", "C", "C", "C", …
## $ IncidentDate <date> 1999-07-01, 1999-07-02, 1999-07-02, 1999-07-…
## $ IncidentDescription <chr> "EE. Alleges cleaning restroom in ninth floor…
## $ ReturnToWorkDate <chr> "#VALUE!", "#VALUE!", "#VALUE!", "#VALUE!", "…
## $ AverageWeeklyWage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 752.3…
## $ ClaimantOpenedDate <date> 1999-07-16, 1999-07-16, 1999-07-19, 1999-07-…
## $ ClaimantClosedDate <date> 2005-03-31, 2005-03-31, 2005-03-31, 2005-03-…
## $ EmployerNotificationDate <date> 1999-07-01, 1999-07-02, 1999-07-02, 1999-07-…
## $ ReceivedDate <date> 1999-07-15, 1999-07-15, 1999-07-19, 1999-07-…
## $ IsDenied <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ ClaimantAge_at_DOI <dbl> 43, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ Gender <chr> "Female", "Male", "Male", "Female", "Female",…
## $ ClaimantType <chr> "Medical Only", "Medical Only", "Medical Only…
## $ InjuryNature <chr> "Poisoning?Chemical (Other Than Metals)", "Co…
## $ BodyPartRegion <chr> "Head", "Head", "Head", "Head", "Head", "Head…
## $ BodyPart <chr> "Eyes", "Eyes", "Eyes", "Eyes", "Eyes", "Mult…
## $ BillReviewALE <dbl> NA, NA, NA, 264, NA, NA, NA, NA, NA, NA, NA, …
## $ Hospital <dbl> NA, NA, NA, 730.14, NA, NA, 214.79, 189.05, N…
## $ PhysicianOutpatient <dbl> NA, NA, NA, 3493.30, 0.00, 327.64, 361.98, 28…
## $ Rx <dbl> NA, NA, 15.16, 417.90, NA, NA, 19.99, NA, NA,…## [1] TRUECosto Total & Tiempo De Procesamiento
bdcabeza$Total_Incurred_Cost <- bdcabeza$TotalReserves + bdcabeza$TotalPaid - bdcabeza$TotalRecovery
bdcabeza$TP <- difftime(bdcabeza$ClaimantClosedDate, bdcabeza$ClaimantOpenedDate, units ="days")## ClaimID TotalPaid TotalReserves TotalRecovery
## Min. : 777635 Min. : 0.0 Min. : 0 Min. : 0.00
## 1st Qu.: 808894 1st Qu.: 36.2 1st Qu.: 0 1st Qu.: 0.00
## Median : 842276 Median : 157.6 Median : 0 Median : 0.00
## Mean :10578303 Mean : 3238.6 Mean : 1230 Mean : 59.17
## 3rd Qu.:22721561 3rd Qu.: 501.0 3rd Qu.: 0 3rd Qu.: 0.00
## Max. :62203645 Max. :1353862.0 Max. :1303215 Max. :90357.52
##
## IndemnityPaid OtherPaid ClaimStatus IncidentDate
## Min. : 0 Min. : 0.0 Length:12832 Min. :1976-10-29
## 1st Qu.: 0 1st Qu.: 36.2 Class :character 1st Qu.:2000-06-20
## Median : 0 Median : 156.0 Mode :character Median :2005-01-19
## Mean : 1415 Mean : 1823.8 Mean :2005-03-21
## 3rd Qu.: 0 3rd Qu.: 484.0 3rd Qu.:2010-04-12
## Max. :450680 Max. :1156503.6 Max. :2014-06-26
##
## IncidentDescription ReturnToWorkDate AverageWeeklyWage
## Length:12832 Length:12832 Min. : 0.1
## Class :character Class :character 1st Qu.: 191.1
## Mode :character Mode :character Median : 478.0
## Mean : 1069.6
## 3rd Qu.: 647.9
## Max. :2024000.0
## NA's :8814
## ClaimantOpenedDate ClaimantClosedDate EmployerNotificationDate
## Min. :1986-09-03 Min. :2000-03-08 Min. :1976-10-30
## 1st Qu.:2000-07-20 1st Qu.:2005-03-31 1st Qu.:2000-05-15
## Median :2005-02-25 Median :2007-04-12 Median :2005-03-31
## Mean :2005-04-28 Mean :2008-01-25 Mean :2005-04-28
## 3rd Qu.:2010-04-28 3rd Qu.:2010-09-20 3rd Qu.:2010-09-18
## Max. :2014-06-30 Max. :2014-06-30 Max. :2014-06-26
## NA's :369 NA's :1184
## ReceivedDate IsDenied ClaimantAge_at_DOI Gender
## Min. :1986-09-03 Min. :0.0000 Min. :-7951.00 Length:12832
## 1st Qu.:2000-07-25 1st Qu.:0.0000 1st Qu.: 31.00 Class :character
## Median :2005-02-22 Median :0.0000 Median : 42.00 Mode :character
## Mean :2005-04-28 Mean :0.0272 Mean : 38.67
## 3rd Qu.:2010-05-06 3rd Qu.:0.0000 3rd Qu.: 51.00
## Max. :2033-09-18 Max. :1.0000 Max. : 87.00
## NA's :3651
## ClaimantType InjuryNature BodyPartRegion BodyPart
## Length:12832 Length:12832 Length:12832 Length:12832
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## BillReviewALE Hospital PhysicianOutpatient Rx
## Min. : -456.00 Min. :-12570.4 Min. : -549.5 Min. : 0.00
## 1st Qu.: 16.00 1st Qu.: 205.3 1st Qu.: 109.0 1st Qu.: 22.50
## Median : 24.00 Median : 569.6 Median : 215.7 Median : 58.95
## Mean : 177.61 Mean : 4007.1 Mean : 1595.5 Mean : 1605.50
## 3rd Qu.: 68.47 3rd Qu.: 2124.9 3rd Qu.: 681.9 3rd Qu.: 185.10
## Max. :16208.91 Max. :194966.4 Max. :310220.3 Max. :210564.39
## NA's :10458 NA's :10878 NA's :8003 NA's :11076
## Total_Incurred_Cost TP
## Min. : -1521.2 Min. : 0.0
## 1st Qu.: 38.0 1st Qu.: 114.5
## Median : 160.2 Median : 684.0
## Mean : 4409.7 Mean :1081.9
## 3rd Qu.: 526.7 3rd Qu.:1811.0
## Max. :1869254.9 Max. :6544.0
## NA's :369Árbol de Decisiones
Limpiar Base de Datos
## Gender n
## 1 Male 7540
## 2 Female 5199
## 3 Not Available 93## ClaimantAge_at_DOI n
## 1 NA 3651
## 2 48 268
## 3 41 263
## 4 46 262
## 5 43 260
## 6 28 259
## 7 42 248
## 8 44 248
## 9 50 248
## 10 33 238
## 11 47 238
## 12 53 237
## 13 54 236
## 14 38 234
## 15 45 234
## 16 37 232
## 17 52 232
## 18 34 230
## 19 25 225
## 20 36 223
## 21 26 221
## 22 35 217
## 23 39 217
## 24 51 214
## 25 29 211
## 26 55 210
## 27 32 208
## 28 27 205
## 29 49 202
## 30 40 198
## 31 30 195
## 32 31 195
## 33 57 178
## 34 23 173
## 35 24 173
## 36 56 170
## 37 22 156
## 38 58 152
## 39 59 148
## 40 60 132
## 41 21 114
## 42 61 99
## 43 62 93
## 44 20 77
## 45 19 63
## 46 63 61
## 47 64 57
## 48 65 34
## 49 67 28
## 50 66 19
## 51 18 16
## 52 68 14
## 53 69 11
## 54 0 10
## 55 71 9
## 56 73 9
## 57 74 9
## 58 72 8
## 59 75 7
## 60 17 5
## 61 70 5
## 62 76 5
## 63 77 5
## 64 -1 4
## 65 6 4
## 66 16 4
## 67 1 2
## 68 5 2
## 69 78 2
## 70 -7951 1
## 71 -7161 1
## 72 -5973 1
## 73 -2956 1
## 74 -193 1
## 75 -45 1
## 76 -5 1
## 77 4 1
## 78 7 1
## 79 11 1
## 80 12 1
## 81 13 1
## 82 79 1
## 83 81 1
## 84 87 1## AverageWeeklyWage n
## 1 NA 8814
## 2 1.00 567
## 3 40.00 129
## 4 300.00 97
## 5 30.00 95
## 6 500.00 66
## 7 100.00 40
## 8 600.00 39
## 9 478.00 32
## 10 350.00 31
## 11 400.00 27
## 12 60.00 26
## 13 48.00 23
## 14 0.23 22
## 15 484.00 16
## 16 460.00 15
## 17 900.00 14
## 18 800.00 13
## 19 450.00 12
## 20 360.00 11
## 21 480.00 11
## 22 616.71 11
## 23 478.10 10
## 24 200.00 9
## 25 446.00 9
## 26 320.00 8
## 27 456.80 7
## 28 456.94 7
## 29 640.00 7
## 30 0.10 6
## 31 2.00 6
## 32 270.00 6
## 33 284.00 6
## 34 452.00 6
## 35 490.00 6
## 36 508.00 6
## 37 548.00 6
## 38 608.00 6
## 39 650.00 6
## 40 45.00 5
## 41 220.00 5
## 42 280.00 5
## 43 462.00 5
## 44 535.00 5
## 45 538.00 5
## 46 560.00 5
## 47 648.00 5
## 48 654.00 5
## 49 700.00 5
## 50 712.00 5
## 51 1000.00 5
## 52 1083.00 5
## 53 180.00 4
## 54 310.17 4
## 55 375.00 4
## 56 424.00 4
## 57 440.00 4
## 58 440.26 4
## 59 455.00 4
## 60 469.00 4
## 61 470.00 4
## 62 472.00 4
## 63 501.00 4
## 64 524.60 4
## 65 525.00 4
## 66 530.00 4
## 67 539.00 4
## 68 542.00 4
## 69 543.00 4
## 70 549.00 4
## 71 550.00 4
## 72 556.00 4
## 73 557.00 4
## 74 576.92 4
## 75 602.00 4
## 76 606.00 4
## 77 607.00 4
## 78 620.00 4
## 79 630.00 4
## 80 631.00 4
## 81 652.00 4
## 82 653.85 4
## 83 720.00 4
## 84 755.00 4
## 85 769.00 4
## 86 822.00 4
## 87 826.00 4
## 88 837.00 4
## 89 850.00 4
## 90 918.46 4
## 91 962.00 4
## 92 35.00 3
## 93 36.00 3
## 94 126.00 3
## 95 140.00 3
## 96 195.00 3
## 97 240.00 3
## 98 250.00 3
## 99 285.60 3
## 100 304.29 3
## 101 315.40 3
## 102 322.59 3
## 103 338.40 3
## 104 340.00 3
## 105 364.00 3
## 106 413.60 3
## 107 414.13 3
## 108 416.44 3
## 109 420.00 3
## 110 424.37 3
## 111 436.00 3
## 112 442.00 3
## 113 450.80 3
## 114 453.00 3
## 115 454.00 3
## 116 454.80 3
## 117 464.00 3
## 118 466.00 3
## 119 483.00 3
## 120 486.00 3
## 121 496.00 3
## 122 506.00 3
## 123 516.00 3
## 124 520.00 3
## 125 526.00 3
## 126 532.00 3
## 127 536.89 3
## 128 540.00 3
## 129 577.00 3
## 130 580.57 3
## 131 592.00 3
## 132 615.00 3
## 133 618.00 3
## 134 638.00 3
## 135 656.00 3
## 136 678.00 3
## 137 680.00 3
## 138 694.00 3
## 139 750.00 3
## 140 792.00 3
## 141 811.81 3
## 142 816.00 3
## 143 836.33 3
## 144 884.00 3
## 145 906.44 3
## 146 915.00 3
## 147 944.00 3
## 148 1058.00 3
## 149 1063.00 3
## 150 1083.27 3
## 151 1225.00 3
## 152 5.00 2
## 153 10.00 2
## 154 20.00 2
## 155 90.00 2
## 156 115.00 2
## 157 160.00 2
## 158 234.00 2
## 159 256.00 2
## 160 260.00 2
## 161 277.00 2
## 162 293.60 2
## 163 304.23 2
## 164 307.60 2
## 165 315.00 2
## 166 319.60 2
## 167 321.60 2
## 168 323.00 2
## 169 328.04 2
## 170 336.00 2
## 171 344.80 2
## 172 353.81 2
## 173 373.43 2
## 174 377.60 2
## 175 381.55 2
## 176 382.00 2
## 177 386.80 2
## 178 387.60 2
## 179 391.08 2
## 180 392.19 2
## 181 394.00 2
## 182 394.98 2
## 183 408.00 2
## 184 414.50 2
## 185 414.52 2
## 186 422.80 2
## 187 425.00 2
## 188 428.00 2
## 189 428.85 2
## 190 430.38 2
## 191 435.00 2
## 192 435.12 2
## 193 439.37 2
## 194 443.60 2
## 195 443.83 2
## 196 444.40 2
## 197 444.80 2
## 198 449.00 2
## 199 449.65 2
## 200 451.00 2
## 201 453.60 2
## 202 457.00 2
## 203 458.00 2
## 204 458.40 2
## 205 461.60 2
## 206 461.67 2
## 207 473.60 2
## 208 475.00 2
## 209 482.00 2
## 210 488.00 2
## 211 489.31 2
## 212 490.40 2
## 213 490.80 2
## 214 490.96 2
## 215 491.00 2
## 216 492.00 2
## 217 498.00 2
## 218 499.00 2
## 219 504.00 2
## 220 504.80 2
## 221 505.00 2
## 222 509.00 2
## 223 509.98 2
## 224 511.00 2
## 225 517.00 2
## 226 518.00 2
## 227 519.00 2
## 228 522.00 2
## 229 523.20 2
## 230 529.00 2
## 231 541.00 2
## 232 544.00 2
## 233 545.00 2
## 234 545.42 2
## 235 545.58 2
## 236 546.80 2
## 237 547.60 2
## 238 551.00 2
## 239 553.00 2
## 240 554.00 2
## 241 558.00 2
## 242 562.00 2
## 243 562.80 2
## 244 563.00 2
## 245 565.50 2
## 246 566.00 2
## 247 566.60 2
## 248 568.40 2
## 249 575.00 2
## 250 576.40 2
## 251 576.80 2
## 252 579.00 2
## 253 583.00 2
## 254 588.00 2
## 255 591.00 2
## 256 593.00 2
## 257 593.20 2
## 258 594.00 2
## 259 596.00 2
## 260 597.60 2
## 261 598.00 2
## 262 604.00 2
## 263 604.80 2
## 264 610.00 2
## 265 614.00 2
## 266 622.80 2
## 267 624.00 2
## 268 625.00 2
## 269 627.00 2
## 270 634.00 2
## 271 642.00 2
## 272 644.00 2
## 273 645.00 2
## 274 646.00 2
## 275 651.00 2
## 276 653.00 2
## 277 660.32 2
## 278 666.00 2
## 279 668.00 2
## 280 669.00 2
## 281 670.42 2
## 282 675.00 2
## 283 683.00 2
## 284 684.40 2
## 285 687.00 2
## 286 689.21 2
## 287 692.00 2
## 288 696.00 2
## 289 699.00 2
## 290 703.00 2
## 291 710.00 2
## 292 714.00 2
## 293 715.00 2
## 294 718.00 2
## 295 721.00 2
## 296 722.00 2
## 297 723.00 2
## 298 727.00 2
## 299 729.00 2
## 300 731.00 2
## 301 740.00 2
## 302 742.00 2
## 303 743.00 2
## 304 745.00 2
## 305 747.00 2
## 306 749.00 2
## 307 756.00 2
## 308 776.00 2
## 309 781.20 2
## 310 785.00 2
## 311 798.00 2
## 312 799.00 2
## 313 808.00 2
## 314 815.00 2
## 315 818.40 2
## 316 828.00 2
## 317 828.04 2
## 318 836.00 2
## 319 838.00 2
## 320 839.00 2
## 321 840.00 2
## 322 846.00 2
## 323 849.00 2
## 324 860.00 2
## 325 865.00 2
## 326 871.00 2
## 327 874.00 2
## 328 880.00 2
## 329 918.00 2
## 330 941.42 2
## 331 950.00 2
## 332 958.28 2
## 333 974.00 2
## 334 1013.71 2
## 335 1017.00 2
## 336 1032.00 2
## 337 1034.40 2
## 338 1046.00 2
## 339 1066.00 2
## 340 1161.00 2
## 341 1180.00 2
## 342 1200.00 2
## 343 1213.00 2
## 344 1239.00 2
## 345 1260.00 2
## 346 1326.00 2
## 347 1350.00 2
## 348 1414.00 2
## 349 2.14 1
## 350 2.30 1
## 351 3.00 1
## 352 3.36 1
## 353 7.00 1
## 354 8.00 1
## 355 16.84 1
## 356 21.00 1
## 357 24.00 1
## 358 24.07 1
## 359 32.00 1
## 360 37.00 1
## 361 37.50 1
## 362 41.42 1
## 363 44.98 1
## 364 46.94 1
## 365 50.00 1
## 366 50.26 1
## 367 53.21 1
## 368 55.55 1
## 369 59.82 1
## 370 64.80 1
## 371 70.50 1
## 372 71.70 1
## 373 81.00 1
## 374 82.46 1
## 375 87.50 1
## 376 97.50 1
## 377 99.00 1
## 378 101.92 1
## 379 105.00 1
## 380 106.00 1
## 381 107.00 1
## 382 110.00 1
## 383 120.00 1
## 384 121.87 1
## 385 125.00 1
## 386 129.00 1
## 387 130.00 1
## 388 133.45 1
## 389 136.00 1
## 390 141.80 1
## 391 145.00 1
## 392 146.40 1
## 393 148.00 1
## 394 150.00 1
## 395 152.00 1
## 396 162.00 1
## 397 164.80 1
## 398 168.00 1
## 399 170.14 1
## 400 173.07 1
## 401 174.50 1
## 402 175.00 1
## 403 177.00 1
## 404 181.76 1
## 405 189.98 1
## 406 190.38 1
## 407 193.07 1
## 408 194.40 1
## 409 199.26 1
## 410 204.65 1
## 411 206.00 1
## 412 215.60 1
## 413 216.00 1
## 414 216.78 1
## 415 218.00 1
## 416 218.40 1
## 417 224.61 1
## 418 228.30 1
## 419 229.50 1
## 420 230.77 1
## 421 236.11 1
## 422 241.90 1
## 423 243.60 1
## 424 245.00 1
## 425 246.27 1
## 426 247.49 1
## 427 252.00 1
## 428 253.32 1
## 429 253.80 1
## 430 255.00 1
## 431 255.20 1
## 432 257.00 1
## 433 263.00 1
## 434 267.46 1
## 435 268.12 1
## 436 268.40 1
## 437 269.00 1
## 438 274.50 1
## 439 275.20 1
## 440 279.79 1
## 441 282.45 1
## 442 282.64 1
## 443 285.20 1
## 444 285.89 1
## 445 287.76 1
## 446 289.48 1
## 447 290.80 1
## 448 291.20 1
## 449 291.46 1
## 450 294.40 1
## 451 294.80 1
## 452 296.00 1
## 453 296.80 1
## 454 296.81 1
## 455 298.82 1
## 456 301.20 1
## 457 301.56 1
## 458 302.38 1
## 459 302.64 1
## 460 302.80 1
## 461 304.22 1
## 462 304.40 1
## 463 304.56 1
## 464 306.06 1
## 465 307.69 1
## 466 307.71 1
## 467 308.65 1
## 468 308.80 1
## 469 309.38 1
## 470 310.00 1
## 471 310.14 1
## 472 310.80 1
## 473 311.20 1
## 474 311.60 1
## 475 312.40 1
## 476 313.32 1
## 477 314.09 1
## 478 314.71 1
## 479 315.81 1
## 480 316.12 1
## 481 317.00 1
## 482 317.33 1
## 483 317.40 1
## 484 318.06 1
## 485 318.17 1
## 486 320.19 1
## 487 321.05 1
## 488 321.20 1
## 489 321.35 1
## 490 321.38 1
## 491 321.54 1
## 492 321.62 1
## 493 321.71 1
## 494 321.77 1
## 495 322.54 1
## 496 322.60 1
## 497 322.80 1
## 498 322.81 1
## 499 323.01 1
## 500 323.20 1
## 501 323.27 1
## 502 323.60 1
## 503 324.00 1
## 504 325.58 1
## 505 325.60 1
## 506 326.10 1
## 507 328.00 1
## 508 328.10 1
## 509 329.11 1
## 510 329.19 1
## 511 329.20 1
## 512 329.93 1
## 513 330.00 1
## 514 330.03 1
## 515 330.31 1
## 516 330.54 1
## 517 331.20 1
## 518 331.68 1
## 519 332.63 1
## 520 333.52 1
## 521 334.40 1
## 522 334.77 1
## 523 334.80 1
## 524 336.60 1
## 525 336.98 1
## 526 337.60 1
## 527 337.65 1
## 528 339.60 1
## 529 340.34 1
## 530 340.35 1
## 531 341.00 1
## 532 341.90 1
## 533 342.03 1
## 534 342.40 1
## 535 344.10 1
## 536 345.16 1
## 537 345.17 1
## 538 346.00 1
## 539 346.72 1
## 540 346.87 1
## 541 347.35 1
## 542 348.40 1
## 543 348.71 1
## 544 348.80 1
## 545 349.09 1
## 546 350.67 1
## 547 350.92 1
## 548 351.20 1
## 549 351.22 1
## 550 352.15 1
## 551 352.30 1
## 552 352.51 1
## 553 353.07 1
## 554 353.60 1
## 555 353.87 1
## 556 354.00 1
## 557 354.33 1
## 558 355.58 1
## 559 355.94 1
## 560 356.69 1
## 561 357.00 1
## 562 357.31 1
## 563 357.32 1
## 564 357.84 1
## 565 359.20 1
## 566 359.98 1
## 567 360.66 1
## 568 360.80 1
## 569 361.55 1
## 570 361.83 1
## 571 362.00 1
## 572 362.14 1
## 573 362.45 1
## 574 362.86 1
## 575 362.92 1
## 576 363.87 1
## 577 364.12 1
## 578 364.39 1
## 579 364.40 1
## 580 364.52 1
## 581 365.00 1
## 582 365.16 1
## 583 366.11 1
## 584 366.55 1
## 585 366.87 1
## 586 366.92 1
## 587 367.50 1
## 588 368.00 1
## 589 368.16 1
## 590 368.48 1
## 591 368.57 1
## 592 369.07 1
## 593 369.30 1
## 594 369.42 1
## 595 370.49 1
## 596 370.68 1
## 597 371.20 1
## 598 371.38 1
## 599 371.53 1
## 600 372.00 1
## 601 372.06 1
## 602 372.20 1
## 603 372.80 1
## 604 372.90 1
## 605 373.11 1
## 606 373.42 1
## 607 374.96 1
## 608 375.28 1
## 609 375.80 1
## 610 376.17 1
## 611 377.27 1
## 612 377.75 1
## 613 378.00 1
## 614 378.15 1
## 615 378.24 1
## 616 379.09 1
## 617 379.60 1
## 618 379.71 1
## 619 379.86 1
## 620 380.00 1
## 621 380.88 1
## 622 381.47 1
## 623 381.58 1
## 624 381.60 1
## 625 382.56 1
## 626 382.78 1
## 627 383.20 1
## 628 383.55 1
## 629 384.00 1
## 630 384.10 1
## 631 384.30 1
## 632 384.80 1
## 633 384.92 1
## 634 385.00 1
## 635 385.15 1
## 636 385.66 1
## 637 385.75 1
## 638 386.76 1
## 639 387.20 1
## 640 387.22 1
## 641 387.23 1
## 642 387.98 1
## 643 387.99 1
## 644 388.00 1
## 645 388.10 1
## 646 388.40 1
## 647 389.03 1
## 648 389.19 1
## 649 389.33 1
## 650 389.59 1
## 651 389.60 1
## 652 390.84 1
## 653 390.92 1
## 654 391.11 1
## 655 392.00 1
## 656 392.17 1
## 657 392.25 1
## 658 392.42 1
## 659 392.62 1
## 660 393.37 1
## 661 393.75 1
## 662 393.92 1
## 663 394.20 1
## 664 394.44 1
## 665 394.75 1
## 666 394.96 1
## 667 395.00 1
## 668 395.01 1
## 669 396.40 1
## 670 396.83 1
## 671 397.28 1
## 672 397.60 1
## 673 397.69 1
## 674 397.92 1
## 675 398.00 1
## 676 398.81 1
## 677 398.92 1
## 678 399.00 1
## 679 399.60 1
## 680 399.77 1
## 681 400.12 1
## 682 400.40 1
## 683 400.54 1
## 684 400.79 1
## 685 400.80 1
## 686 401.65 1
## 687 402.02 1
## 688 402.33 1
## 689 402.77 1
## 690 402.90 1
## 691 403.62 1
## 692 404.00 1
## 693 404.36 1
## 694 404.58 1
## 695 405.00 1
## 696 405.75 1
## 697 406.10 1
## 698 406.21 1
## 699 406.31 1
## 700 407.00 1
## 701 407.22 1
## 702 407.33 1
## 703 408.40 1
## 704 409.06 1
## 705 409.08 1
## 706 409.20 1
## 707 409.39 1
## 708 409.82 1
## 709 409.96 1
## 710 410.07 1
## 711 410.37 1
## 712 411.40 1
## 713 412.00 1
## 714 412.29 1
## 715 412.57 1
## 716 412.82 1
## 717 412.97 1
## 718 413.04 1
## 719 413.35 1
## 720 414.00 1
## 721 414.27 1
## 722 414.71 1
## 723 414.80 1
## 724 415.19 1
## 725 415.54 1
## 726 416.40 1
## 727 416.42 1
## 728 416.46 1
## 729 416.76 1
## 730 416.77 1
## 731 416.80 1
## 732 416.93 1
## 733 417.12 1
## 734 417.60 1
## 735 418.40 1
## 736 420.92 1
## 737 422.40 1
## 738 423.00 1
## 739 423.05 1
## 740 424.40 1
## 741 424.63 1
## 742 425.42 1
## 743 425.63 1
## 744 426.77 1
## 745 426.82 1
## 746 426.83 1
## 747 427.19 1
## 748 427.34 1
## 749 427.56 1
## 750 428.17 1
## 751 428.21 1
## 752 428.84 1
## 753 428.89 1
## 754 429.00 1
## 755 429.36 1
## 756 430.09 1
## 757 430.40 1
## 758 430.71 1
## 759 430.80 1
## 760 431.07 1
## 761 431.09 1
## 762 431.14 1
## 763 431.60 1
## 764 432.00 1
## 765 432.13 1
## 766 432.36 1
## 767 432.42 1
## 768 432.60 1
## 769 432.94 1
## 770 433.82 1
## 771 434.00 1
## 772 434.49 1
## 773 435.19 1
## 774 435.39 1
## 775 435.58 1
## 776 435.97 1
## 777 436.06 1
## 778 436.72 1
## 779 436.80 1
## 780 436.98 1
## 781 437.17 1
## 782 437.54 1
## 783 437.67 1
## 784 437.73 1
## 785 438.00 1
## 786 438.06 1
## 787 438.32 1
## 788 438.40 1
## 789 438.49 1
## 790 438.80 1
## 791 438.88 1
## 792 439.31 1
## 793 439.58 1
## 794 439.96 1
## 795 440.15 1
## 796 440.40 1
## 797 440.85 1
## 798 441.13 1
## 799 441.20 1
## 800 441.34 1
## 801 441.72 1
## 802 442.28 1
## 803 442.31 1
## 804 442.41 1
## 805 442.64 1
## 806 443.00 1
## 807 443.85 1
## 808 444.00 1
## 809 444.01 1
## 810 444.71 1
## 811 444.76 1
## 812 445.17 1
## 813 445.19 1
## 814 445.60 1
## 815 445.75 1
## 816 447.00 1
## 817 447.12 1
## 818 447.16 1
## 819 447.54 1
## 820 447.98 1
## 821 448.00 1
## 822 448.17 1
## 823 448.19 1
## 824 448.40 1
## 825 448.42 1
## 826 448.86 1
## 827 449.57 1
## 828 450.17 1
## 829 450.69 1
## 830 450.85 1
## 831 451.54 1
## 832 451.97 1
## 833 452.11 1
## 834 452.29 1
## 835 452.33 1
## 836 452.39 1
## 837 452.53 1
## 838 452.80 1
## 839 452.84 1
## 840 453.41 1
## 841 453.46 1
## 842 453.82 1
## 843 454.38 1
## 844 454.60 1
## 845 454.81 1
## 846 455.26 1
## 847 456.36 1
## 848 456.52 1
## 849 456.84 1
## 850 457.60 1
## 851 457.61 1
## 852 457.87 1
## 853 457.90 1
## 854 458.27 1
## 855 459.00 1
## 856 459.26 1
## 857 459.50 1
## 858 460.11 1
## 859 460.21 1
## 860 460.38 1
## 861 460.40 1
## 862 460.46 1
## 863 460.63 1
## 864 460.77 1
## 865 460.91 1
## 866 461.78 1
## 867 462.40 1
## 868 462.50 1
## 869 462.75 1
## 870 462.80 1
## 871 462.93 1
## 872 463.00 1
## 873 463.35 1
## 874 463.60 1
## 875 463.63 1
## 876 463.69 1
## 877 464.02 1
## 878 464.40 1
## 879 464.96 1
## 880 465.38 1
## 881 465.56 1
## 882 465.58 1
## 883 467.01 1
## 884 467.15 1
## 885 467.23 1
## 886 467.60 1
## 887 467.80 1
## 888 468.03 1
## 889 468.13 1
## 890 468.53 1
## 891 468.99 1
## 892 469.08 1
## 893 469.11 1
## 894 469.29 1
## 895 469.77 1
## 896 470.05 1
## 897 470.42 1
## 898 470.73 1
## 899 471.00 1
## 900 471.15 1
## 901 471.20 1
## 902 471.48 1
## 903 471.50 1
## 904 471.89 1
## 905 472.25 1
## 906 472.40 1
## 907 472.57 1
## 908 472.67 1
## 909 472.73 1
## 910 472.79 1
## 911 472.80 1
## 912 473.00 1
## 913 473.38 1
## 914 474.69 1
## 915 474.71 1
## 916 475.15 1
## 917 475.44 1
## 918 475.61 1
## 919 475.72 1
## 920 476.00 1
## 921 476.49 1
## 922 476.60 1
## 923 476.63 1
## 924 477.05 1
## 925 477.12 1
## 926 477.13 1
## 927 477.20 1
## 928 477.85 1
## 929 477.96 1
## 930 478.05 1
## 931 478.07 1
## 932 478.20 1
## 933 478.27 1
## 934 478.40 1
## 935 478.52 1
## 936 478.80 1
## 937 479.33 1
## 938 479.63 1
## 939 479.97 1
## 940 480.07 1
## 941 480.96 1
## 942 481.00 1
## 943 481.20 1
## 944 481.46 1
## 945 482.02 1
## 946 482.57 1
## 947 482.73 1
## 948 482.81 1
## 949 483.31 1
## 950 483.32 1
## 951 483.83 1
## 952 484.28 1
## 953 484.40 1
## 954 484.61 1
## 955 484.80 1
## 956 485.20 1
## 957 485.47 1
## 958 486.23 1
## 959 486.40 1
## 960 486.52 1
## 961 486.69 1
## 962 487.21 1
## 963 487.60 1
## 964 487.62 1
## 965 487.63 1
## 966 488.57 1
## 967 488.73 1
## 968 488.79 1
## 969 488.90 1
## 970 489.00 1
## 971 489.60 1
## 972 489.63 1
## 973 490.28 1
## 974 490.33 1
## 975 490.63 1
## 976 491.37 1
## 977 491.58 1
## 978 492.14 1
## 979 492.25 1
## 980 492.42 1
## 981 492.77 1
## 982 492.88 1
## 983 492.92 1
## 984 493.00 1
## 985 493.54 1
## 986 494.13 1
## 987 495.00 1
## 988 495.20 1
## 989 495.26 1
## 990 495.42 1
## 991 495.52 1
## 992 495.67 1
## 993 495.73 1
## 994 496.23 1
## 995 496.30 1
## 996 496.46 1
## 997 496.62 1
## 998 497.00 1
## 999 497.02 1
## 1000 497.20 1
## 1001 497.25 1
## 1002 497.31 1
## 1003 497.40 1
## 1004 497.68 1
## 1005 498.06 1
## 1006 498.40 1
## 1007 499.15 1
## 1008 499.87 1
## 1009 500.03 1
## 1010 500.34 1
## 1011 500.40 1
## 1012 500.60 1
## 1013 500.75 1
## 1014 500.96 1
## 1015 501.20 1
## 1016 501.37 1
## 1017 501.53 1
## 1018 501.69 1
## 1019 502.25 1
## 1020 502.80 1
## 1021 502.83 1
## 1022 502.96 1
## 1023 503.02 1
## 1024 503.85 1
## 1025 504.13 1
## 1026 504.81 1
## 1027 505.01 1
## 1028 505.05 1
## 1029 505.47 1
## 1030 505.60 1
## 1031 506.03 1
## 1032 506.10 1
## 1033 506.35 1
## 1034 506.37 1
## 1035 506.40 1
## 1036 506.42 1
## 1037 506.53 1
## 1038 506.57 1
## 1039 506.77 1
## 1040 506.85 1
## 1041 507.00 1
## 1042 507.20 1
## 1043 508.35 1
## 1044 508.40 1
## 1045 508.48 1
## 1046 508.58 1
## 1047 508.90 1
## 1048 509.20 1
## 1049 509.34 1
## 1050 509.97 1
## 1051 510.00 1
## 1052 510.24 1
## 1053 511.20 1
## 1054 511.23 1
## 1055 511.57 1
## 1056 511.60 1
## 1057 511.86 1
## 1058 512.00 1
## 1059 512.02 1
## 1060 512.07 1
## 1061 512.75 1
## 1062 513.29 1
## 1063 513.54 1
## 1064 513.64 1
## 1065 513.85 1
## 1066 513.95 1
## 1067 514.00 1
## 1068 514.06 1
## 1069 514.29 1
## 1070 514.80 1
## 1071 515.00 1
## 1072 515.20 1
## 1073 515.35 1
## 1074 515.72 1
## 1075 515.98 1
## 1076 516.45 1
## 1077 516.73 1
## 1078 516.80 1
## 1079 517.20 1
## 1080 517.60 1
## 1081 517.77 1
## 1082 518.56 1
## 1083 518.60 1
## 1084 518.80 1
## 1085 519.23 1
## 1086 519.31 1
## 1087 519.60 1
## 1088 519.79 1
## 1089 519.80 1
## 1090 520.40 1
## 1091 521.00 1
## 1092 521.20 1
## 1093 521.83 1
## 1094 522.40 1
## 1095 522.80 1
## 1096 523.41 1
## 1097 523.79 1
## 1098 524.00 1
## 1099 524.06 1
## 1100 525.16 1
## 1101 525.60 1
## 1102 525.85 1
## 1103 526.06 1
## 1104 526.64 1
## 1105 526.92 1
## 1106 527.73 1
## 1107 527.76 1
## 1108 527.90 1
## 1109 527.96 1
## 1110 528.00 1
## 1111 528.18 1
## 1112 528.40 1
## 1113 528.90 1
## 1114 528.98 1
## 1115 529.20 1
## 1116 529.60 1
## 1117 529.96 1
## 1118 530.40 1
## 1119 530.48 1
## 1120 530.50 1
## 1121 530.71 1
## 1122 530.80 1
## 1123 531.00 1
## 1124 531.32 1
## 1125 531.50 1
## 1126 531.93 1
## 1127 532.15 1
## 1128 532.60 1
## 1129 532.68 1
## 1130 532.80 1
## 1131 533.03 1
## 1132 533.20 1
## 1133 533.60 1
## 1134 533.68 1
## 1135 534.00 1
## 1136 534.22 1
## 1137 534.40 1
## 1138 534.52 1
## 1139 534.62 1
## 1140 534.70 1
## 1141 534.73 1
## 1142 534.75 1
## 1143 534.80 1
## 1144 535.51 1
## 1145 535.60 1
## 1146 535.84 1
## 1147 536.00 1
## 1148 537.36 1
## 1149 537.39 1
## 1150 537.92 1
## 1151 537.96 1
## 1152 538.05 1
## 1153 538.38 1
## 1154 538.40 1
## 1155 538.48 1
## 1156 539.41 1
## 1157 539.73 1
## 1158 539.80 1
## 1159 540.67 1
## 1160 541.09 1
## 1161 541.14 1
## 1162 541.46 1
## 1163 542.80 1
## 1164 542.87 1
## 1165 543.32 1
## 1166 543.69 1
## 1167 543.75 1
## 1168 544.04 1
## 1169 544.60 1
## 1170 545.57 1
## 1171 545.71 1
## 1172 546.00 1
## 1173 546.53 1
## 1174 546.88 1
## 1175 546.98 1
## 1176 547.66 1
## 1177 548.38 1
## 1178 548.43 1
## 1179 548.65 1
## 1180 548.80 1
## 1181 548.85 1
## 1182 549.11 1
## 1183 549.46 1
## 1184 549.62 1
## 1185 550.20 1
## 1186 550.80 1
## 1187 551.44 1
## 1188 551.84 1
## 1189 552.00 1
## 1190 552.30 1
## 1191 553.28 1
## 1192 553.72 1
## 1193 553.73 1
## 1194 554.44 1
## 1195 554.57 1
## 1196 554.61 1
## 1197 554.73 1
## 1198 554.80 1
## 1199 554.90 1
## 1200 554.91 1
## 1201 554.94 1
## 1202 555.00 1
## 1203 555.31 1
## 1204 556.16 1
## 1205 556.27 1
## 1206 556.40 1
## 1207 556.79 1
## 1208 557.46 1
## 1209 558.28 1
## 1210 558.57 1
## 1211 559.00 1
## 1212 559.02 1
## 1213 559.60 1
## 1214 559.64 1
## 1215 559.71 1
## 1216 559.92 1
## 1217 560.19 1
## 1218 561.65 1
## 1219 561.67 1
## 1220 562.64 1
## 1221 563.20 1
## 1222 563.58 1
## 1223 563.86 1
## 1224 563.90 1
## 1225 564.00 1
## 1226 564.19 1
## 1227 564.27 1
## 1228 564.37 1
## 1229 565.79 1
## 1230 566.15 1
## 1231 566.35 1
## 1232 566.72 1
## 1233 566.73 1
## 1234 566.80 1
## 1235 566.81 1
## 1236 566.99 1
## 1237 567.23 1
## 1238 567.30 1
## 1239 568.00 1
## 1240 568.17 1
## 1241 568.75 1
## 1242 568.80 1
## 1243 568.94 1
## 1244 569.45 1
## 1245 569.93 1
## 1246 570.00 1
## 1247 570.37 1
## 1248 570.50 1
## 1249 570.65 1
## 1250 570.77 1
## 1251 571.00 1
## 1252 571.30 1
## 1253 571.46 1
## 1254 572.45 1
## 1255 572.50 1
## 1256 573.00 1
## 1257 573.47 1
## 1258 573.65 1
## 1259 574.00 1
## 1260 574.19 1
## 1261 574.37 1
## 1262 574.38 1
## 1263 575.11 1
## 1264 575.25 1
## 1265 575.35 1
## 1266 575.42 1
## 1267 575.87 1
## 1268 576.82 1
## 1269 577.20 1
## 1270 577.37 1
## 1271 577.50 1
## 1272 577.72 1
## 1273 578.42 1
## 1274 579.55 1
## 1275 579.96 1
## 1276 581.00 1
## 1277 581.20 1
## 1278 581.84 1
## 1279 582.03 1
## 1280 582.13 1
## 1281 582.24 1
## 1282 583.17 1
## 1283 583.20 1
## 1284 583.60 1
## 1285 583.65 1
## 1286 583.68 1
## 1287 583.77 1
## 1288 584.36 1
## 1289 584.40 1
## 1290 584.80 1
## 1291 585.00 1
## 1292 585.20 1
## 1293 585.23 1
## 1294 585.30 1
## 1295 585.60 1
## 1296 586.00 1
## 1297 587.01 1
## 1298 587.20 1
## 1299 587.23 1
## 1300 587.67 1
## 1301 587.85 1
## 1302 588.29 1
## 1303 588.30 1
## 1304 588.60 1
## 1305 589.20 1
## 1306 589.32 1
## 1307 590.00 1
## 1308 590.23 1
## 1309 590.76 1
## 1310 590.81 1
## 1311 591.79 1
## 1312 591.84 1
## 1313 592.82 1
## 1314 593.60 1
## 1315 593.69 1
## 1316 593.76 1
## 1317 593.93 1
## 1318 594.71 1
## 1319 595.00 1
## 1320 595.60 1
## 1321 595.98 1
## 1322 596.05 1
## 1323 596.44 1
## 1324 596.81 1
## 1325 597.16 1
## 1326 598.39 1
## 1327 598.46 1
## 1328 598.50 1
## 1329 598.55 1
## 1330 599.48 1
## 1331 599.82 1
## 1332 599.86 1
## 1333 600.69 1
## 1334 600.80 1
## 1335 601.00 1
## 1336 602.20 1
## 1337 602.30 1
## 1338 603.00 1
## 1339 603.29 1
## 1340 603.46 1
## 1341 603.88 1
## 1342 604.38 1
## 1343 604.40 1
## 1344 604.50 1
## 1345 604.73 1
## 1346 605.00 1
## 1347 606.01 1
## 1348 606.90 1
## 1349 606.92 1
## 1350 607.52 1
## 1351 607.60 1
## 1352 607.73 1
## 1353 607.78 1
## 1354 607.86 1
## 1355 608.55 1
## 1356 609.00 1
## 1357 609.07 1
## 1358 609.20 1
## 1359 609.45 1
## 1360 609.46 1
## 1361 609.62 1
## 1362 609.76 1
## 1363 609.89 1
## 1364 610.17 1
## 1365 610.45 1
## 1366 611.00 1
## 1367 611.29 1
## 1368 611.41 1
## 1369 611.52 1
## 1370 611.60 1
## 1371 611.79 1
## 1372 612.00 1
## 1373 613.04 1
## 1374 613.94 1
## 1375 613.96 1
## 1376 614.46 1
## 1377 614.54 1
## 1378 614.76 1
## 1379 614.80 1
## 1380 615.20 1
## 1381 615.35 1
## 1382 615.38 1
## 1383 615.60 1
## 1384 615.91 1
## 1385 615.95 1
## 1386 616.00 1
## 1387 617.00 1
## 1388 617.20 1
## 1389 618.19 1
## 1390 618.85 1
## 1391 619.38 1
## 1392 619.50 1
## 1393 619.80 1
## 1394 620.16 1
## 1395 620.18 1
## 1396 620.40 1
## 1397 620.55 1
## 1398 620.80 1
## 1399 620.94 1
## 1400 621.00 1
## 1401 621.20 1
## 1402 621.58 1
## 1403 621.69 1
## 1404 621.72 1
## 1405 621.82 1
## 1406 622.23 1
## 1407 623.65 1
## 1408 624.40 1
## 1409 625.44 1
## 1410 626.59 1
## 1411 626.83 1
## 1412 627.20 1
## 1413 627.55 1
## 1414 628.00 1
## 1415 628.50 1
## 1416 629.00 1
## 1417 629.09 1
## 1418 629.20 1
## 1419 630.40 1
## 1420 631.95 1
## 1421 632.00 1
## 1422 632.40 1
## 1423 633.94 1
## 1424 634.69 1
## 1425 634.92 1
## 1426 635.00 1
## 1427 636.00 1
## 1428 636.26 1
## 1429 636.38 1
## 1430 636.48 1
## 1431 636.80 1
## 1432 637.76 1
## 1433 638.41 1
## 1434 638.87 1
## 1435 638.99 1
## 1436 639.20 1
## 1437 639.46 1
## 1438 639.92 1
## 1439 640.01 1
## 1440 640.20 1
## 1441 640.24 1
## 1442 640.43 1
## 1443 641.43 1
## 1444 641.60 1
## 1445 642.98 1
## 1446 643.29 1
## 1447 643.85 1
## 1448 644.22 1
## 1449 644.81 1
## 1450 644.94 1
## 1451 645.20 1
## 1452 646.69 1
## 1453 646.80 1
## 1454 647.17 1
## 1455 647.27 1
## 1456 647.30 1
## 1457 647.39 1
## 1458 647.54 1
## 1459 648.36 1
## 1460 648.46 1
## 1461 648.98 1
## 1462 649.01 1
## 1463 649.13 1
## 1464 649.20 1
## 1465 650.70 1
## 1466 650.80 1
## 1467 651.03 1
## 1468 651.54 1
## 1469 652.85 1
## 1470 653.40 1
## 1471 653.71 1
## 1472 655.32 1
## 1473 655.50 1
## 1474 655.92 1
## 1475 656.24 1
## 1476 656.36 1
## 1477 656.40 1
## 1478 657.12 1
## 1479 657.23 1
## 1480 658.00 1
## 1481 659.00 1
## 1482 660.00 1
## 1483 660.40 1
## 1484 661.00 1
## 1485 661.58 1
## 1486 662.00 1
## 1487 662.20 1
## 1488 662.67 1
## 1489 662.80 1
## 1490 662.96 1
## 1491 663.40 1
## 1492 663.46 1
## 1493 663.69 1
## 1494 664.00 1
## 1495 664.14 1
## 1496 665.00 1
## 1497 665.28 1
## 1498 665.56 1
## 1499 666.24 1
## 1500 667.60 1
## 1501 667.83 1
## 1502 667.88 1
## 1503 668.32 1
## 1504 668.77 1
## 1505 669.20 1
## 1506 669.61 1
## 1507 669.75 1
## 1508 670.00 1
## 1509 670.01 1
## 1510 670.40 1
## 1511 671.00 1
## 1512 671.20 1
## 1513 672.00 1
## 1514 672.20 1
## 1515 673.00 1
## 1516 673.40 1
## 1517 674.00 1
## 1518 674.60 1
## 1519 674.83 1
## 1520 675.20 1
## 1521 676.80 1
## 1522 677.00 1
## 1523 677.11 1
## 1524 679.02 1
## 1525 679.60 1
## 1526 679.62 1
## 1527 681.00 1
## 1528 682.00 1
## 1529 682.15 1
## 1530 682.45 1
## 1531 683.48 1
## 1532 684.00 1
## 1533 684.29 1
## 1534 684.80 1
## 1535 684.81 1
## 1536 685.00 1
## 1537 685.71 1
## 1538 686.00 1
## 1539 686.70 1
## 1540 687.71 1
## 1541 688.94 1
## 1542 689.00 1
## 1543 689.20 1
## 1544 690.80 1
## 1545 690.89 1
## 1546 691.00 1
## 1547 691.28 1
## 1548 691.42 1
## 1549 693.45 1
## 1550 693.48 1
## 1551 693.92 1
## 1552 694.23 1
## 1553 695.00 1
## 1554 695.38 1
## 1555 696.32 1
## 1556 696.35 1
## 1557 696.72 1
## 1558 697.00 1
## 1559 697.26 1
## 1560 697.60 1
## 1561 697.68 1
## 1562 698.00 1
## 1563 698.35 1
## 1564 699.93 1
## 1565 700.70 1
## 1566 701.44 1
## 1567 702.00 1
## 1568 703.15 1
## 1569 703.23 1
## 1570 704.00 1
## 1571 704.83 1
## 1572 705.20 1
## 1573 705.33 1
## 1574 705.96 1
## 1575 706.00 1
## 1576 707.00 1
## 1577 707.12 1
## 1578 707.84 1
## 1579 708.00 1
## 1580 708.80 1
## 1581 709.20 1
## 1582 709.40 1
## 1583 710.23 1
## 1584 710.50 1
## 1585 711.60 1
## 1586 711.70 1
## 1587 712.46 1
## 1588 713.25 1
## 1589 713.28 1
## 1590 714.40 1
## 1591 715.04 1
## 1592 715.25 1
## 1593 715.96 1
## 1594 717.00 1
## 1595 717.15 1
## 1596 719.00 1
## 1597 720.64 1
## 1598 720.80 1
## 1599 722.76 1
## 1600 723.24 1
## 1601 723.31 1
## 1602 727.95 1
## 1603 728.00 1
## 1604 728.03 1
## 1605 728.06 1
## 1606 728.80 1
## 1607 729.52 1
## 1608 732.00 1
## 1609 732.80 1
## 1610 733.00 1
## 1611 734.40 1
## 1612 734.55 1
## 1613 735.39 1
## 1614 736.00 1
## 1615 736.48 1
## 1616 737.00 1
## 1617 738.00 1
## 1618 738.82 1
## 1619 739.54 1
## 1620 740.15 1
## 1621 740.80 1
## 1622 741.00 1
## 1623 741.14 1
## 1624 741.20 1
## 1625 741.75 1
## 1626 743.52 1
## 1627 744.00 1
## 1628 744.12 1
## 1629 744.33 1
## 1630 744.80 1
## 1631 745.75 1
## 1632 746.08 1
## 1633 746.74 1
## 1634 746.93 1
## 1635 747.66 1
## 1636 747.88 1
## 1637 748.00 1
## 1638 748.18 1
## 1639 750.38 1
## 1640 752.37 1
## 1641 752.75 1
## 1642 753.02 1
## 1643 755.20 1
## 1644 755.26 1
## 1645 756.21 1
## 1646 756.48 1
## 1647 756.75 1
## 1648 757.00 1
## 1649 759.17 1
## 1650 759.60 1
## 1651 760.32 1
## 1652 760.40 1
## 1653 760.90 1
## 1654 761.75 1
## 1655 761.86 1
## 1656 763.21 1
## 1657 764.40 1
## 1658 764.51 1
## 1659 764.55 1
## 1660 764.71 1
## 1661 765.27 1
## 1662 765.71 1
## 1663 766.80 1
## 1664 767.00 1
## 1665 769.23 1
## 1666 769.26 1
## 1667 769.44 1
## 1668 769.50 1
## 1669 771.20 1
## 1670 772.00 1
## 1671 772.20 1
## 1672 772.67 1
## 1673 772.73 1
## 1674 772.80 1
## 1675 773.48 1
## 1676 773.61 1
## 1677 775.00 1
## 1678 778.75 1
## 1679 779.60 1
## 1680 780.00 1
## 1681 782.00 1
## 1682 782.08 1
## 1683 782.91 1
## 1684 783.00 1
## 1685 783.33 1
## 1686 784.80 1
## 1687 785.60 1
## 1688 786.00 1
## 1689 787.77 1
## 1690 788.00 1
## 1691 788.46 1
## 1692 789.04 1
## 1693 790.00 1
## 1694 790.80 1
## 1695 792.29 1
## 1696 793.00 1
## 1697 794.00 1
## 1698 795.13 1
## 1699 796.00 1
## 1700 797.00 1
## 1701 797.96 1
## 1702 798.46 1
## 1703 798.49 1
## 1704 798.61 1
## 1705 801.17 1
## 1706 802.00 1
## 1707 802.80 1
## 1708 803.00 1
## 1709 803.36 1
## 1710 803.60 1
## 1711 803.84 1
## 1712 804.00 1
## 1713 805.07 1
## 1714 805.12 1
## 1715 806.00 1
## 1716 807.00 1
## 1717 807.60 1
## 1718 808.88 1
## 1719 809.25 1
## 1720 809.45 1
## 1721 809.98 1
## 1722 810.00 1
## 1723 810.40 1
## 1724 811.59 1
## 1725 812.11 1
## 1726 812.35 1
## 1727 812.94 1
## 1728 813.00 1
## 1729 813.20 1
## 1730 814.00 1
## 1731 815.15 1
## 1732 817.00 1
## 1733 817.08 1
## 1734 817.15 1
## 1735 817.23 1
## 1736 817.30 1
## 1737 819.00 1
## 1738 819.23 1
## 1739 820.18 1
## 1740 820.48 1
## 1741 822.40 1
## 1742 824.89 1
## 1743 827.00 1
## 1744 827.64 1
## 1745 829.00 1
## 1746 830.00 1
## 1747 831.20 1
## 1748 832.00 1
## 1749 832.09 1
## 1750 833.28 1
## 1751 834.00 1
## 1752 834.40 1
## 1753 834.96 1
## 1754 836.20 1
## 1755 836.32 1
## 1756 836.83 1
## 1757 837.44 1
## 1758 838.70 1
## 1759 839.86 1
## 1760 841.00 1
## 1761 842.27 1
## 1762 844.06 1
## 1763 844.69 1
## 1764 845.00 1
## 1765 846.48 1
## 1766 847.47 1
## 1767 848.00 1
## 1768 848.40 1
## 1769 850.29 1
## 1770 851.21 1
## 1771 851.40 1
## 1772 852.00 1
## 1773 853.00 1
## 1774 855.00 1
## 1775 856.04 1
## 1776 856.82 1
## 1777 858.44 1
## 1778 860.35 1
## 1779 860.63 1
## 1780 861.89 1
## 1781 862.87 1
## 1782 863.20 1
## 1783 863.49 1
## 1784 864.69 1
## 1785 865.20 1
## 1786 865.38 1
## 1787 865.60 1
## 1788 865.85 1
## 1789 866.04 1
## 1790 866.76 1
## 1791 867.00 1
## 1792 868.72 1
## 1793 869.00 1
## 1794 871.80 1
## 1795 872.80 1
## 1796 873.85 1
## 1797 874.80 1
## 1798 876.33 1
## 1799 876.63 1
## 1800 882.00 1
## 1801 882.40 1
## 1802 883.36 1
## 1803 884.35 1
## 1804 885.00 1
## 1805 885.20 1
## 1806 885.48 1
## 1807 886.00 1
## 1808 887.00 1
## 1809 890.00 1
## 1810 891.01 1
## 1811 891.96 1
## 1812 892.32 1
## 1813 893.30 1
## 1814 895.60 1
## 1815 898.40 1
## 1816 900.90 1
## 1817 901.00 1
## 1818 901.04 1
## 1819 902.00 1
## 1820 902.30 1
## 1821 902.80 1
## 1822 905.29 1
## 1823 905.30 1
## 1824 906.40 1
## 1825 907.00 1
## 1826 909.00 1
## 1827 910.00 1
## 1828 910.07 1
## 1829 912.00 1
## 1830 913.44 1
## 1831 915.17 1
## 1832 916.00 1
## 1833 917.74 1
## 1834 919.24 1
## 1835 919.39 1
## 1836 920.00 1
## 1837 920.77 1
## 1838 922.88 1
## 1839 923.00 1
## 1840 924.00 1
## 1841 925.60 1
## 1842 926.37 1
## 1843 928.45 1
## 1844 929.00 1
## 1845 930.21 1
## 1846 931.35 1
## 1847 933.00 1
## 1848 935.94 1
## 1849 936.11 1
## 1850 936.80 1
## 1851 937.00 1
## 1852 939.13 1
## 1853 939.73 1
## 1854 940.00 1
## 1855 940.50 1
## 1856 940.80 1
## 1857 947.70 1
## 1858 948.43 1
## 1859 949.26 1
## 1860 952.97 1
## 1861 953.05 1
## 1862 953.60 1
## 1863 954.00 1
## 1864 956.40 1
## 1865 956.60 1
## 1866 956.80 1
## 1867 958.00 1
## 1868 958.41 1
## 1869 959.00 1
## 1870 959.93 1
## 1871 960.00 1
## 1872 960.25 1
## 1873 961.00 1
## 1874 961.50 1
## 1875 961.54 1
## 1876 962.13 1
## 1877 962.19 1
## 1878 963.42 1
## 1879 963.60 1
## 1880 968.48 1
## 1881 969.00 1
## 1882 972.65 1
## 1883 972.83 1
## 1884 973.00 1
## 1885 973.56 1
## 1886 973.84 1
## 1887 974.81 1
## 1888 975.39 1
## 1889 976.00 1
## 1890 980.77 1
## 1891 981.60 1
## 1892 981.92 1
## 1893 982.02 1
## 1894 983.00 1
## 1895 984.00 1
## 1896 984.12 1
## 1897 985.00 1
## 1898 988.40 1
## 1899 988.59 1
## 1900 990.40 1
## 1901 992.08 1
## 1902 992.31 1
## 1903 994.00 1
## 1904 997.00 1
## 1905 999.19 1
## 1906 999.43 1
## 1907 1002.00 1
## 1908 1003.97 1
## 1909 1006.32 1
## 1910 1007.19 1
## 1911 1010.20 1
## 1912 1012.00 1
## 1913 1014.00 1
## 1914 1014.71 1
## 1915 1016.68 1
## 1916 1017.69 1
## 1917 1019.23 1
## 1918 1020.00 1
## 1919 1022.00 1
## 1920 1023.00 1
## 1921 1025.00 1
## 1922 1027.60 1
## 1923 1029.48 1
## 1924 1031.60 1
## 1925 1032.79 1
## 1926 1036.60 1
## 1927 1039.15 1
## 1928 1040.00 1
## 1929 1041.00 1
## 1930 1042.78 1
## 1931 1042.80 1
## 1932 1046.08 1
## 1933 1046.54 1
## 1934 1046.80 1
## 1935 1048.00 1
## 1936 1049.85 1
## 1937 1050.89 1
## 1938 1051.00 1
## 1939 1054.00 1
## 1940 1054.27 1
## 1941 1054.28 1
## 1942 1054.40 1
## 1943 1056.00 1
## 1944 1059.00 1
## 1945 1062.32 1
## 1946 1064.63 1
## 1947 1065.00 1
## 1948 1065.61 1
## 1949 1066.42 1
## 1950 1066.46 1
## 1951 1067.85 1
## 1952 1068.40 1
## 1953 1068.46 1
## 1954 1070.00 1
## 1955 1071.00 1
## 1956 1073.00 1
## 1957 1073.23 1
## 1958 1073.58 1
## 1959 1082.00 1
## 1960 1082.80 1
## 1961 1083.60 1
## 1962 1083.69 1
## 1963 1087.46 1
## 1964 1090.11 1
## 1965 1091.76 1
## 1966 1093.27 1
## 1967 1094.44 1
## 1968 1095.48 1
## 1969 1096.00 1
## 1970 1096.80 1
## 1971 1097.00 1
## 1972 1100.00 1
## 1973 1102.00 1
## 1974 1103.30 1
## 1975 1105.15 1
## 1976 1105.77 1
## 1977 1106.00 1
## 1978 1106.23 1
## 1979 1107.71 1
## 1980 1108.00 1
## 1981 1109.00 1
## 1982 1110.57 1
## 1983 1110.78 1
## 1984 1112.00 1
## 1985 1113.46 1
## 1986 1115.00 1
## 1987 1116.00 1
## 1988 1116.97 1
## 1989 1120.40 1
## 1990 1128.00 1
## 1991 1129.89 1
## 1992 1130.05 1
## 1993 1132.22 1
## 1994 1132.40 1
## 1995 1134.08 1
## 1996 1134.59 1
## 1997 1135.13 1
## 1998 1138.67 1
## 1999 1139.00 1
## 2000 1139.60 1
## 2001 1140.00 1
## 2002 1141.00 1
## 2003 1141.15 1
## 2004 1144.40 1
## 2005 1149.81 1
## 2006 1150.00 1
## 2007 1152.00 1
## 2008 1153.28 1
## 2009 1159.52 1
## 2010 1161.10 1
## 2011 1161.44 1
## 2012 1166.54 1
## 2013 1170.00 1
## 2014 1171.00 1
## 2015 1171.33 1
## 2016 1173.00 1
## 2017 1174.00 1
## 2018 1174.42 1
## 2019 1176.00 1
## 2020 1180.39 1
## 2021 1182.00 1
## 2022 1183.00 1
## 2023 1183.28 1
## 2024 1185.95 1
## 2025 1188.00 1
## 2026 1193.00 1
## 2027 1195.00 1
## 2028 1198.06 1
## 2029 1201.60 1
## 2030 1202.00 1
## 2031 1203.00 1
## 2032 1207.20 1
## 2033 1210.00 1
## 2034 1211.60 1
## 2035 1212.40 1
## 2036 1219.60 1
## 2037 1220.00 1
## 2038 1220.16 1
## 2039 1221.64 1
## 2040 1222.13 1
## 2041 1222.19 1
## 2042 1233.32 1
## 2043 1234.00 1
## 2044 1238.75 1
## 2045 1239.69 1
## 2046 1240.26 1
## 2047 1241.53 1
## 2048 1242.00 1
## 2049 1244.00 1
## 2050 1245.61 1
## 2051 1246.83 1
## 2052 1249.60 1
## 2053 1252.00 1
## 2054 1262.00 1
## 2055 1267.00 1
## 2056 1272.00 1
## 2057 1273.20 1
## 2058 1275.00 1
## 2059 1284.59 1
## 2060 1286.00 1
## 2061 1288.00 1
## 2062 1300.00 1
## 2063 1306.13 1
## 2064 1307.60 1
## 2065 1312.00 1
## 2066 1314.00 1
## 2067 1316.00 1
## 2068 1318.55 1
## 2069 1322.00 1
## 2070 1322.33 1
## 2071 1322.65 1
## 2072 1323.20 1
## 2073 1334.08 1
## 2074 1341.60 1
## 2075 1347.00 1
## 2076 1352.00 1
## 2077 1363.00 1
## 2078 1367.00 1
## 2079 1370.00 1
## 2080 1371.09 1
## 2081 1372.00 1
## 2082 1373.20 1
## 2083 1378.33 1
## 2084 1383.69 1
## 2085 1384.99 1
## 2086 1385.00 1
## 2087 1387.15 1
## 2088 1400.00 1
## 2089 1401.60 1
## 2090 1412.00 1
## 2091 1415.40 1
## 2092 1419.00 1
## 2093 1419.30 1
## 2094 1430.00 1
## 2095 1461.51 1
## 2096 1472.00 1
## 2097 1481.93 1
## 2098 1482.36 1
## 2099 1494.00 1
## 2100 1498.56 1
## 2101 1500.00 1
## 2102 1502.77 1
## 2103 1515.00 1
## 2104 1527.99 1
## 2105 1535.00 1
## 2106 1551.25 1
## 2107 1564.64 1
## 2108 1575.60 1
## 2109 1578.48 1
## 2110 1599.89 1
## 2111 1601.00 1
## 2112 1615.38 1
## 2113 1633.00 1
## 2114 1651.00 1
## 2115 1671.12 1
## 2116 1679.65 1
## 2117 1695.92 1
## 2118 1712.00 1
## 2119 1721.43 1
## 2120 1727.10 1
## 2121 1731.00 1
## 2122 1759.15 1
## 2123 1764.40 1
## 2124 1808.00 1
## 2125 1875.00 1
## 2126 1879.00 1
## 2127 1910.00 1
## 2128 1937.53 1
## 2129 1961.00 1
## 2130 1974.91 1
## 2131 1998.00 1
## 2132 2021.00 1
## 2133 2027.00 1
## 2134 2069.25 1
## 2135 2120.00 1
## 2136 2146.09 1
## 2137 2151.00 1
## 2138 2201.00 1
## 2139 2285.00 1
## 2140 2361.74 1
## 2141 2406.04 1
## 2142 2500.00 1
## 2143 2804.40 1
## 2144 2846.00 1
## 2145 2938.78 1
## 2146 2997.75 1
## 2147 3281.18 1
## 2148 3323.04 1
## 2149 3552.00 1
## 2150 3970.47 1
## 2151 8220.92 1
## 2152 43000.00 1
## 2153 47809.62 1
## 2154 56140.00 1
## 2155 87040.00 1
## 2156 131160.00 1
## 2157 2024000.00 1bdarbol<- na.omit(bdarbol, cols = c("Gender", "ClaimantAge_at_DOI", "AverageWeeklyWage"))
bdarbol <- bdarbol[bdarbol$ClaimantAge_at_DOI > 0,]
count(bdarbol, Gender, sort=TRUE)## Gender n
## 1 Female 45
## 2 Male 44
## 3 Not Available 2## ClaimantAge_at_DOI n
## 1 39 7
## 2 41 6
## 3 27 5
## 4 36 5
## 5 51 5
## 6 20 4
## 7 32 4
## 8 38 4
## 9 48 4
## 10 54 4
## 11 28 3
## 12 45 3
## 13 19 2
## 14 23 2
## 15 24 2
## 16 26 2
## 17 29 2
## 18 35 2
## 19 40 2
## 20 43 2
## 21 46 2
## 22 52 2
## 23 53 2
## 24 21 1
## 25 22 1
## 26 25 1
## 27 33 1
## 28 34 1
## 29 37 1
## 30 42 1
## 31 44 1
## 32 49 1
## 33 50 1
## 34 58 1
## 35 60 1
## 36 62 1
## 37 65 1
## 38 68 1## AverageWeeklyWage n
## 1 1.00 15
## 2 100.00 3
## 3 350.00 2
## 4 0.23 1
## 5 55.55 1
## 6 148.00 1
## 7 175.00 1
## 8 180.00 1
## 9 181.76 1
## 10 234.00 1
## 11 260.00 1
## 12 280.00 1
## 13 300.00 1
## 14 320.00 1
## 15 326.10 1
## 16 352.15 1
## 17 352.30 1
## 18 373.42 1
## 19 387.60 1
## 20 400.00 1
## 21 413.60 1
## 22 428.85 1
## 23 430.40 1
## 24 438.49 1
## 25 440.40 1
## 26 448.00 1
## 27 450.00 1
## 28 458.27 1
## 29 459.50 1
## 30 460.11 1
## 31 479.97 1
## 32 491.58 1
## 33 496.62 1
## 34 505.01 1
## 35 509.97 1
## 36 509.98 1
## 37 510.24 1
## 38 511.60 1
## 39 512.02 1
## 40 513.64 1
## 41 515.72 1
## 42 528.40 1
## 43 546.98 1
## 44 554.94 1
## 45 556.79 1
## 46 562.64 1
## 47 570.77 1
## 48 571.30 1
## 49 576.80 1
## 50 581.84 1
## 51 590.23 1
## 52 598.55 1
## 53 599.86 1
## 54 610.00 1
## 55 619.80 1
## 56 620.00 1
## 57 620.16 1
## 58 647.54 1
## 59 655.32 1
## 60 674.00 1
## 61 697.68 1
## 62 700.00 1
## 63 728.80 1
## 64 755.20 1
## 65 756.75 1
## 66 832.09 1
## 67 874.00 1
## 68 918.46 1
## 69 956.60 1
## 70 981.60 1
## 71 984.12 1
## 72 1149.81 1
## 73 1211.60 1
## 74 1401.60 1## ClaimID TotalPaid TotalReserves
## 0 0 0
## TotalRecovery IndemnityPaid OtherPaid
## 0 0 0
## ClaimStatus IncidentDate IncidentDescription
## 0 0 0
## ReturnToWorkDate AverageWeeklyWage ClaimantOpenedDate
## 0 0 0
## ClaimantClosedDate EmployerNotificationDate ReceivedDate
## 0 0 0
## IsDenied ClaimantAge_at_DOI Gender
## 0 0 0
## ClaimantType InjuryNature BodyPartRegion
## 0 0 0
## BodyPart BillReviewALE Hospital
## 0 0 0
## PhysicianOutpatient Rx Total_Incurred_Cost
## 0 0 0
## TP
## 0
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.00 94.47 267.74 4264.87 2742.86 78488.36## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.23 178.75 454.75 414.63 583.94 1149.81## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 22.0 130.8 510.0 666.2 1095.2 2214.0Hacer Árbol de Decisiones
Costo Total
## n= 86
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 86 11162630000 4451.986
## 2) ClaimantAge_at_DOI>=32.5 57 2211073000 3419.439
## 4) ClaimantAge_at_DOI< 38.5 14 98758720 1600.548 *
## 5) ClaimantAge_at_DOI>=38.5 43 2050917000 4011.637
## 10) ClaimantAge_at_DOI>=39.5 36 1014353000 2853.721 *
## 11) ClaimantAge_at_DOI< 39.5 7 740062900 9966.629 *
## 3) ClaimantAge_at_DOI< 32.5 29 8771341000 6481.476
## 6) ClaimantAge_at_DOI< 27.5 20 1125675000 2771.558 *
## 7) ClaimantAge_at_DOI>=27.5 9 6758686000 14725.740 *
Tiempo De Procesamiento
## n= 86
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 86 27369620 666.2093
## 2) ClaimantAge_at_DOI< 27.5 20 4985931 414.2000
## 4) AverageWeeklyWage>=161.5 13 1526929 328.3077 *
## 5) AverageWeeklyWage< 161.5 7 3184981 573.7143 *
## 3) ClaimantAge_at_DOI>=27.5 66 20728610 742.5758
## 6) AverageWeeklyWage< 313.05 17 3640316 591.5882 *
## 7) AverageWeeklyWage>=313.05 49 16566290 794.9592
## 14) AverageWeeklyWage>=599.205 16 4232281 614.9375 *
## 15) AverageWeeklyWage< 599.205 33 11564080 882.2424
## 30) ClaimantAge_at_DOI< 37 11 2328833 622.4545 *
## 31) ClaimantAge_at_DOI>=37 22 8121663 1012.1360
## 62) AverageWeeklyWage< 433.67 8 2011242 803.2500 *
## 63) AverageWeeklyWage>=433.67 14 5561886 1131.5000 *
Regresión Lineal
Limpiar Base de Datos
## [1] 0## [1] 369Eliminar outliers
bdregresion <- bdregresion[bdregresion$TP < 4000,]
bdregresion <- bdregresion[bdregresion$Total_Incurred_Cost < 500000,]
summary(bdregresion$Total_Incurred_Cost)## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 1.8 111.7 234.0 2351.4 695.4 386860.2 351## Gender n
## 1 Male 5879
## 2 Female 3639
## 3 <NA> 351
## 4 Not Available 70Regresión Lineal Costo Total
regresion <- lm(Total_Incurred_Cost ~TP + Gender + BodyPart+ AverageWeeklyWage + ClaimantAge_at_DOI, data=bdregresion)
summary(regresion)##
## Call:
## lm(formula = Total_Incurred_Cost ~ TP + Gender + BodyPart + AverageWeeklyWage +
## ClaimantAge_at_DOI, data = bdregresion)
##
## Residuals:
## Min 1Q Median 3Q Max
## -35575 -5948 -1964 1309 353067
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.783e+04 5.876e+03 3.035 0.002431 **
## TP 7.762e+00 6.701e-01 11.582 < 2e-16 ***
## GenderMale 1.008e+03 9.808e+02 1.028 0.304092
## GenderNot Available 6.557e+03 5.375e+03 1.220 0.222634
## BodyPartEar(S) -2.506e+04 6.037e+03 -4.152 3.41e-05 ***
## BodyPartEyes -2.661e+04 5.675e+03 -4.689 2.90e-06 ***
## BodyPartFacial Bones -2.454e+04 5.899e+03 -4.159 3.30e-05 ***
## BodyPartMouth -2.563e+04 6.025e+03 -4.254 2.18e-05 ***
## BodyPartMultiple Head Injury -1.961e+04 5.686e+03 -3.448 0.000574 ***
## BodyPartNose -1.982e+04 6.022e+03 -3.291 0.001013 **
## BodyPartSkull -2.032e+04 5.935e+03 -3.424 0.000627 ***
## BodyPartSoft Tissue-Head -2.250e+04 5.842e+03 -3.852 0.000120 ***
## BodyPartTeeth -2.628e+04 6.139e+03 -4.281 1.93e-05 ***
## AverageWeeklyWage 2.520e-03 1.182e-02 0.213 0.831154
## ClaimantAge_at_DOI 1.547e+02 3.872e+01 3.994 6.69e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23800 on 2466 degrees of freedom
## (7458 observations deleted due to missingness)
## Multiple R-squared: 0.07955, Adjusted R-squared: 0.07432
## F-statistic: 15.22 on 14 and 2466 DF, p-value: < 2.2e-16Modelo Predictivo
datos <- data.frame(TP= 103, Gender="Female", BodyPart= "Nose",ClaimantAge_at_DOI=34, AverageWeeklyWage=0.10)## 1
## 4072.688Regresión Lineal Tiempo de Procesamiento
regresion <- lm(TP ~Total_Incurred_Cost+ Gender + BodyPart + AverageWeeklyWage+ ClaimantAge_at_DOI, data=bdregresion)
summary(regresion)##
## Call:
## lm(formula = TP ~ Total_Incurred_Cost + Gender + BodyPart + AverageWeeklyWage +
## ClaimantAge_at_DOI, data = bdregresion)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1525.1 -375.4 -250.5 20.5 3494.1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.313e+02 1.720e+02 2.507 0.0122 *
## Total_Incurred_Cost 6.647e-03 5.739e-04 11.582 <2e-16 ***
## GenderMale 5.285e-01 2.871e+01 0.018 0.9853
## GenderNot Available -1.114e+02 1.573e+02 -0.708 0.4792
## BodyPartEar(S) 1.122e+02 1.773e+02 0.633 0.5270
## BodyPartEyes 1.613e+02 1.668e+02 0.967 0.3334
## BodyPartFacial Bones 2.919e+02 1.732e+02 1.686 0.0919 .
## BodyPartMouth 3.281e+02 1.768e+02 1.855 0.0637 .
## BodyPartMultiple Head Injury 2.168e+02 1.667e+02 1.300 0.1936
## BodyPartNose 1.872e+02 1.766e+02 1.060 0.2892
## BodyPartSkull -9.121e+01 1.741e+02 -0.524 0.6003
## BodyPartSoft Tissue-Head -1.248e+02 1.715e+02 -0.728 0.4668
## BodyPartTeeth 2.020e+02 1.803e+02 1.121 0.2626
## AverageWeeklyWage -2.601e-04 3.457e-04 -0.752 0.4520
## ClaimantAge_at_DOI -3.243e+00 1.135e+00 -2.858 0.0043 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 696.4 on 2466 degrees of freedom
## (7458 observations deleted due to missingness)
## Multiple R-squared: 0.08293, Adjusted R-squared: 0.07772
## F-statistic: 15.93 on 14 and 2466 DF, p-value: < 2.2e-16regresion <- lm(TP ~ Total_Incurred_Cost+ AverageWeeklyWage+ClaimantAge_at_DOI+ BodyPart, data=bdregresion)
summary(regresion)##
## Call:
## lm(formula = TP ~ Total_Incurred_Cost + AverageWeeklyWage + ClaimantAge_at_DOI +
## BodyPart, data = bdregresion)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1521.9 -374.8 -253.3 20.7 3495.5
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.311e+02 1.715e+02 2.514 0.0120 *
## Total_Incurred_Cost 6.639e-03 5.735e-04 11.577 <2e-16 ***
## AverageWeeklyWage -2.592e-04 3.456e-04 -0.750 0.4534
## ClaimantAge_at_DOI -3.229e+00 1.133e+00 -2.850 0.0044 **
## BodyPartEar(S) 1.112e+02 1.768e+02 0.629 0.5295
## BodyPartEyes 1.606e+02 1.666e+02 0.964 0.3351
## BodyPartFacial Bones 2.905e+02 1.730e+02 1.679 0.0932 .
## BodyPartMouth 3.280e+02 1.767e+02 1.856 0.0635 .
## BodyPartMultiple Head Injury 2.154e+02 1.667e+02 1.292 0.1964
## BodyPartNose 1.861e+02 1.765e+02 1.055 0.2917
## BodyPartSkull -9.134e+01 1.740e+02 -0.525 0.5996
## BodyPartSoft Tissue-Head -1.260e+02 1.714e+02 -0.735 0.4623
## BodyPartTeeth 2.008e+02 1.800e+02 1.115 0.2649
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 696.2 on 2468 degrees of freedom
## (7458 observations deleted due to missingness)
## Multiple R-squared: 0.08274, Adjusted R-squared: 0.07828
## F-statistic: 18.55 on 12 and 2468 DF, p-value: < 2.2e-16Shiny
---
title: "Actividad - Lesiones en la Cabeza"
author: "Aracely Quezada A01235931"
date: "2023-09-30"
output: 
  html_document:
    toc: TRUE
    toc_float: True
    code_download: True
    theme: "simplex"
    highlight: "monochrome"
---
 ![](/Users/araquezada/Documents/Tec/7mo Semestre/Analítica para Negocios/Modulo 4/cabeza.jpeg)








The project comes from a North Carolina, US company that manages workers’ compensation claims for other clients (name & location protected for confidentiality). This company wants you to advise them on how data analytics can be used to identify major drivers of costs of claims and the time to process claims. The company is interested in using data analytics to become efficient and responsive to claimants. The gist of workers’ compensation is as follows: When a worker of a participating company is injured in performance of her/his job, she/he can file a claim for the medical expenses and loss of wages related to the injury. When a claim is filed for the first time, a unique claim identifier is created and the details of the claims are recorded. The claim details are updated as payments are made to settle the claim. Payments can be made for various activities related to a claim, such as doctor visit, pharmacy, etc.


```{r}
#Llamar Librerías
library(dplyr)
library(ggplot2)
library(factoextra)
library(rpart)
library(rpart.plot)
library(lubridate)
library(cluster)
```

## <span style="color: orange;">Limpiar Base de Datos</span>
```{r}
bd1 <- read.csv("/Users/araquezada/Documents/Tec/7mo Semestre/Analítica para Negocios/Modulo 4/Actividad Análisis /ClaimsData2018 (1).csv")
bd2 <- read.csv("/Users/araquezada/Documents/Tec/7mo Semestre/Analítica para Negocios/Modulo 4/Actividad Análisis /TransactionsSummary2018.csv")
```

### Juntar Bases de Datos y Filtrar
```{r}
bd <- merge(bd1, bd2, by="ClaimID" , all=TRUE)

#Eliminar columas X
bdlimpia <- bd%>% select (- (X: X.22)) 

bdcabeza <- filter(bdlimpia, BodyPartRegion %in% c("Head"))
count(bdcabeza, BodyPartRegion, sort=TRUE)
summary(bdcabeza)
glimpse(bdcabeza)
```

##### Observaciones
1. Total Paid, Indemity Paid, Other Paid, BillReviewALE, PhysicianOutPatient, Hospital, ClaimantAge_at_DOI tienen números negativos. 
2. Hay muchos NA's. 
3. Las variables de fecha están en carácter 


### Cambiar a Fechas
```{r}
bdcabeza$ClaimantOpenedDate <- as.Date(bdcabeza$ClaimantOpenedDate, format ="%d/%m/%y")
bdcabeza$ClaimantClosedDate <- as.Date(bdcabeza$ClaimantClosedDate, format ="%d/%m/%y")
bdcabeza$IncidentDate <- as.Date(bdcabeza$IncidentDate, format ="%d/%m/%y")
bdcabeza$EmployerNotificationDate <- as.Date(bdcabeza$EmployerNotificationDate, format ="%d/%m/%y")
bdcabeza$ReceivedDate <- as.Date(bdcabeza$ReceivedDate, format ="%d/%m/%y")
summary(bdcabeza)
```

### Cambiar a Numérico
```{r}
bdcabeza$TotalPaid <- as.numeric(bdcabeza$TotalPaid)
bdcabeza$TotalReserves <- as.numeric(bdcabeza$TotalReserves)
bdcabeza$TotalRecovery <- as.numeric(bdcabeza$TotalRecovery)
bdcabeza$AverageWeeklyWage <- as.numeric(bdcabeza$AverageWeeklyWage)
bdcabeza$ClaimantAge_at_DOI <- as.numeric(bdcabeza$ClaimantAge_at_DOI)
glimpse(bdcabeza)
```

```{r}
is.numeric(bdcabeza$AverageWeeklyWage)
```

### Costo Total & Tiempo De Procesamiento 
```{r}
bdcabeza$Total_Incurred_Cost <- bdcabeza$TotalReserves + bdcabeza$TotalPaid - bdcabeza$TotalRecovery
bdcabeza$TP <- difftime(bdcabeza$ClaimantClosedDate, bdcabeza$ClaimantOpenedDate, units ="days")
```
```{r}
bdcabeza$TP <- as.numeric(bdcabeza$TP)
summary(bdcabeza)
```

## <span style="color: orange;">Árbol de Decisiones</span>
### Limpiar Base de Datos
```{r}
bdarbol <- bdcabeza
bdarbol$Gender <- as.factor(bdarbol$Gender)
```

```{r}
count(bdarbol, Gender, sort=TRUE)
count(bdarbol, ClaimantAge_at_DOI, sort=TRUE)
count(bdarbol, AverageWeeklyWage, sort=TRUE)
bdarbol<- na.omit(bdarbol, cols = c("Gender", "ClaimantAge_at_DOI", "AverageWeeklyWage"))
bdarbol <- bdarbol[bdarbol$ClaimantAge_at_DOI > 0,]
count(bdarbol, Gender, sort=TRUE)
count(bdarbol, ClaimantAge_at_DOI, sort=TRUE)
count(bdarbol, AverageWeeklyWage, sort=TRUE)
sapply(bdarbol, function(x) sum(is.na(x)))
```

```{r}
boxplot(bdarbol$Total_Incurred_Cost, horizontal = TRUE)
boxplot(bdarbol$TP, horizontal = TRUE)
boxplot(bdarbol$AverageWeeklyWage, horizontal = TRUE)
```

```{r}
bdarbol <- bdarbol[bdarbol$Total_Incurred_Cost < 130000,]
summary(bdarbol$Total_Incurred_Cost)

bdarbol <- bdarbol[bdarbol$AverageWeeklyWage < 1200,]
summary(bdarbol$AverageWeeklyWage)

bdarbol <- bdarbol[bdarbol$TP < 2700,]
summary(bdarbol$TP)
```


### Hacer Árbol de Decisiones
#### Costo Total
```{r, fig.width=14, fig.height=5}
arbol<- rpart(formula = Total_Incurred_Cost ~ ClaimantAge_at_DOI+ Gender, data=bdarbol)
arbol
rpart.plot(arbol)
prp(arbol)
```

#### Tiempo De Procesamiento
```{r, fig.width=14, fig.height=5}
arbol<- rpart(formula = TP ~ AverageWeeklyWage + ClaimantAge_at_DOI, data=bdarbol)
arbol
rpart.plot(arbol)
prp(arbol)
```

## <span style="color: orange;">Regresión Lineal</span>
### Limpiar Base de Datos
```{r}
sum(is.na(bdcabeza$Total_Incurred_Cost))
sum(is.na(bdcabeza$TP))
```
```{r}
bdregresion <-bdcabeza
```
```{r}
bdregresion <- bdregresion[bdregresion$Total_Incurred_Cost > 0,]
```

### Eliminar outliers
```{r}
boxplot(bdregresion$TP, horizontal = TRUE)
boxplot(bdregresion$Total_Incurred_Cost, horizontal = TRUE)
bdregresion <- bdregresion[bdregresion$TP < 4000,]
bdregresion <- bdregresion[bdregresion$Total_Incurred_Cost < 500000,]
summary(bdregresion$Total_Incurred_Cost)
```
```{r}
count(bdregresion, Gender, sort=TRUE)
bdregresion$Gender <- as.factor(bdregresion$Gender)
```

### Regresión Lineal Costo Total
```{r}
regresion <- lm(Total_Incurred_Cost ~TP + Gender + BodyPart+ AverageWeeklyWage + ClaimantAge_at_DOI, data=bdregresion)

summary(regresion)
```

### Modelo Predictivo 
```{r}
datos <- data.frame(TP= 103, Gender="Female", BodyPart= "Nose",ClaimantAge_at_DOI=34, AverageWeeklyWage=0.10)
```
```{r}
predict(regresion, datos)
```

### Regresión Lineal Tiempo de Procesamiento
```{r}
regresion <- lm(TP ~Total_Incurred_Cost+ Gender + BodyPart + AverageWeeklyWage+ ClaimantAge_at_DOI, data=bdregresion)

summary(regresion)
```

```{r}
regresion <- lm(TP ~ Total_Incurred_Cost+ AverageWeeklyWage+ClaimantAge_at_DOI+ BodyPart, data=bdregresion)

summary(regresion)
```

### Modelo Predictivo
```{r}
datos <- data.frame(Total_Incurred_Cost= 148.37, BodyPart= "Nose", AverageWeeklyWage=0.10, ClaimantAge_at_DOI=32)
```
```{r}
predict(regresion, datos)
```


## <span style="color: orange;">Shiny</span>

[Link](https://araquezadaa.shinyapps.io/ActividadQuejas/)


