OBJETIVO. Analizar datos de salarios

Utilizar la libreria “dplyr” para analizar datos de salarios

Las librerias

cargar datos de salarios

salarios = read.csv("C:/Users/J MANUEL/Documents/Ciencias de los Datos/Datos/Salaries.csv")
#salarios
summary(salarios)
##        Id               EmployeeName   
##  Min.   :     1   Kevin Lee   :    13  
##  1st Qu.: 37164   Richard Lee :    11  
##  Median : 74328   Steven Lee  :    11  
##  Mean   : 74328   William Wong:    11  
##  3rd Qu.:111491   John Chan   :     9  
##  Max.   :148654   KEVIN LEE   :     9  
##                   (Other)     :148590  
##                          JobTitle         BasePay      
##  Transit Operator            :  7036   Min.   :  -166  
##  Special Nurse               :  4389   1st Qu.: 33588  
##  Registered Nurse            :  3736   Median : 65007  
##  Public Svc Aide-Public Works:  2518   Mean   : 66325  
##  Police Officer 3            :  2421   3rd Qu.: 94691  
##  Custodian                   :  2418   Max.   :319275  
##  (Other)                     :126136   NA's   :609     
##   OvertimePay           OtherPay           Benefits       
##  Min.   :    -0.01   Min.   : -7058.6   Min.   :  -33.89  
##  1st Qu.:     0.00   1st Qu.:     0.0   1st Qu.:11535.40  
##  Median :     0.00   Median :   811.3   Median :28628.62  
##  Mean   :  5066.06   Mean   :  3648.8   Mean   :25007.89  
##  3rd Qu.:  4658.18   3rd Qu.:  4236.1   3rd Qu.:35566.86  
##  Max.   :245131.88   Max.   :400184.2   Max.   :96570.66  
##  NA's   :4           NA's   :4          NA's   :36163     
##     TotalPay        TotalPayBenefits        Year       Notes        
##  Min.   :  -618.1   Min.   :  -618.1   Min.   :2011   Mode:logical  
##  1st Qu.: 36169.0   1st Qu.: 44065.7   1st Qu.:2012   NA's:148654   
##  Median : 71426.6   Median : 92404.1   Median :2013                 
##  Mean   : 74768.3   Mean   : 93692.6   Mean   :2013                 
##  3rd Qu.:105839.1   3rd Qu.:132876.5   3rd Qu.:2014                 
##  Max.   :567595.4   Max.   :567595.4   Max.   :2014                 
##                                                                     
##            Agency       Status     
##  San Francisco:148654     :110535  
##                         FT: 22334  
##                         PT: 15785  
##                                    
##                                    
##                                    
## 
str(salarios)
## 'data.frame':    148654 obs. of  13 variables:
##  $ Id              : int  1 2 3 4 5 6 7 8 9 10 ...
##  $ EmployeeName    : Factor w/ 110810 levels "A Bernard  Fatooh",..: 77636 34712 1560 17232 81101 23164 3271 22709 73975 47938 ...
##  $ JobTitle        : Factor w/ 2159 levels "Account Clerk",..: 836 298 298 2149 594 135 246 609 246 370 ...
##  $ BasePay         : num  167411 155966 212739 77916 134402 ...
##  $ OvertimePay     : num  0 245132 106088 56121 9737 ...
##  $ OtherPay        : num  400184 137811 16453 198307 182235 ...
##  $ Benefits        : num  NA NA NA NA NA NA NA NA NA NA ...
##  $ TotalPay        : num  567595 538909 335280 332344 326373 ...
##  $ TotalPayBenefits: num  567595 538909 335280 332344 326373 ...
##  $ Year            : int  2011 2011 2011 2011 2011 2011 2011 2011 2011 2011 ...
##  $ Notes           : logi  NA NA NA NA NA NA ...
##  $ Agency          : Factor w/ 1 level "San Francisco": 1 1 1 1 1 1 1 1 1 1 ...
##  $ Status          : Factor w/ 3 levels "","FT","PT": 1 1 1 1 1 1 1 1 1 1 ...
head(salarios)
##   Id      EmployeeName                                       JobTitle
## 1  1    NATHANIEL FORD GENERAL MANAGER-METROPOLITAN TRANSIT AUTHORITY
## 2  2      GARY JIMENEZ                CAPTAIN III (POLICE DEPARTMENT)
## 3  3    ALBERT PARDINI                CAPTAIN III (POLICE DEPARTMENT)
## 4  4 CHRISTOPHER CHONG           WIRE ROPE CABLE MAINTENANCE MECHANIC
## 5  5   PATRICK GARDNER   DEPUTY CHIEF OF DEPARTMENT,(FIRE DEPARTMENT)
## 6  6    DAVID SULLIVAN                      ASSISTANT DEPUTY CHIEF II
##    BasePay OvertimePay OtherPay Benefits TotalPay TotalPayBenefits Year
## 1 167411.2        0.00 400184.2       NA 567595.4         567595.4 2011
## 2 155966.0   245131.88 137811.4       NA 538909.3         538909.3 2011
## 3 212739.1   106088.18  16452.6       NA 335279.9         335279.9 2011
## 4  77916.0    56120.71 198306.9       NA 332343.6         332343.6 2011
## 5 134401.6     9737.00 182234.6       NA 326373.2         326373.2 2011
## 6 118602.0     8601.00 189082.7       NA 316285.7         316285.7 2011
##   Notes        Agency Status
## 1    NA San Francisco       
## 2    NA San Francisco       
## 3    NA San Francisco       
## 4    NA San Francisco       
## 5    NA San Francisco       
## 6    NA San Francisco
summary(salarios)
##        Id               EmployeeName   
##  Min.   :     1   Kevin Lee   :    13  
##  1st Qu.: 37164   Richard Lee :    11  
##  Median : 74328   Steven Lee  :    11  
##  Mean   : 74328   William Wong:    11  
##  3rd Qu.:111491   John Chan   :     9  
##  Max.   :148654   KEVIN LEE   :     9  
##                   (Other)     :148590  
##                          JobTitle         BasePay      
##  Transit Operator            :  7036   Min.   :  -166  
##  Special Nurse               :  4389   1st Qu.: 33588  
##  Registered Nurse            :  3736   Median : 65007  
##  Public Svc Aide-Public Works:  2518   Mean   : 66325  
##  Police Officer 3            :  2421   3rd Qu.: 94691  
##  Custodian                   :  2418   Max.   :319275  
##  (Other)                     :126136   NA's   :609     
##   OvertimePay           OtherPay           Benefits       
##  Min.   :    -0.01   Min.   : -7058.6   Min.   :  -33.89  
##  1st Qu.:     0.00   1st Qu.:     0.0   1st Qu.:11535.40  
##  Median :     0.00   Median :   811.3   Median :28628.62  
##  Mean   :  5066.06   Mean   :  3648.8   Mean   :25007.89  
##  3rd Qu.:  4658.18   3rd Qu.:  4236.1   3rd Qu.:35566.86  
##  Max.   :245131.88   Max.   :400184.2   Max.   :96570.66  
##  NA's   :4           NA's   :4          NA's   :36163     
##     TotalPay        TotalPayBenefits        Year       Notes        
##  Min.   :  -618.1   Min.   :  -618.1   Min.   :2011   Mode:logical  
##  1st Qu.: 36169.0   1st Qu.: 44065.7   1st Qu.:2012   NA's:148654   
##  Median : 71426.6   Median : 92404.1   Median :2013                 
##  Mean   : 74768.3   Mean   : 93692.6   Mean   :2013                 
##  3rd Qu.:105839.1   3rd Qu.:132876.5   3rd Qu.:2014                 
##  Max.   :567595.4   Max.   :567595.4   Max.   :2014                 
##                                                                     
##            Agency       Status     
##  San Francisco:148654     :110535  
##                         FT: 22334  
##                         PT: 15785  
##                                    
##                                    
##                                    
## 

analisis elemental

la media

###desviacion ### amximo ### minimo

maximo= max(salarios$TotalPayBenefits)
minimo= min(salarios$TotalPayBenefits)
media <- mean(salarios$TotalPayBenefits)
desvstd <- sd(salarios$TotalPayBenefits)

Mostrar los valores estadisticos

paste("Valor maximo de Ingreso Total",maximo)
## [1] "Valor maximo de Ingreso Total 567595.43"
paste("Valor maximo de Ingreso Total",minimo)
## [1] "Valor maximo de Ingreso Total -618.13"
paste("Valor maximo de Ingreso Total",media)
## [1] "Valor maximo de Ingreso Total 93692.5548105668"
paste("Valor maximo de Ingreso Total",desvstd)
## [1] "Valor maximo de Ingreso Total 62793.5334832377"

en esta practica se pudo observar una base de datos de 148578 registros, donde se emplean Utilizar la libreria “dplyr” para analizar datos de salarios analisis elemental,la media,desviacion,mamximo,minimo asi como motrarlos