calculos aritmeticos

a= (24/(-8)+7)/(9-6*2)
a=round (a,1)
a
## [1] -1.3
b=2^3*(-7)+4-((1/3)+(1/2))
b=round (b,1)
b
## [1] -52.8
c=(sqrt(16))+(5*4-3^-2)/(3*(4-8)+1)
c=round (c,1)
c
## [1] 2.2
d=1/2*((5/4-1/2)*13/4-sqrt(7)+8/(2/1-1/5)-3^2)
d=round (d,1)
d       
## [1] -2.4
e= 2*sin(pi/3)+5*cos(pi/4)-tan(pi/6/4)
e=round (e,1)
e
## [1] 5.1
f= 4*log2(5)-3*log(7, base=3)+1/3*log(8)^3
f=round (f,1)
f
## [1] 7

taxistas a) vectores

GC = c(14.2, 8.0, 9.2, 12.1, 8.7, 11.6, 11.0, 12.5, 10.0, 9.0, 8.5, 13.1, 12.9, 8.4, 11.2, 9.8, 12.4, 11.0, 13.0, 8.6)
NP = c(11, 10, 6, 9, 10, 12, 14, 10, 8, 9, 11, 12, 11, 11, 15, 13, 12, 12, 8, 13)

library(modeest)

moda

moda_GC = mfv(GC)
moda_GC
## [1] 11
moda_NP = mfv(NP)
moda_NP
## [1] 11 12

media

prom_GC = mean(GC)
prom_GC
## [1] 10.76
prom_NP = mean(NP)
prom_NP
## [1] 10.85

menor a mayor/ mediana

acom_GC = sort(GC)
mediana_GC = median(acom_GC)
mediana_GC
## [1] 11
acom_NP = sort(NP)
mediana_NP = median(acom_NP)
mediana_NP
## [1] 11

desviacion estandar

de_GC = sd(GC)
d_1 = round(de_GC, 2)
d_1
## [1] 1.91
de_NP = sd(NP)
d_2 = round(de_NP, 2)
d_2
## [1] 2.18

varianza

varia_GC = var(GC)
v_1 = round(varia_GC, 2)
v_1
## [1] 3.67
varia_NP = var(NP)
v_2 = round(varia_NP, 2)
v_2
## [1] 4.77

cuartiles

cuartiles_GC = quantile(GC)
print(cuartiles_GC, 2)
##   0%  25%  50%  75% 100% 
##  8.0  8.9 11.0 12.4 14.2
cuartiles_NP = quantile(NP)
print(cuartiles_NP, 2)
##   0%  25%  50%  75% 100% 
##  6.0  9.8 11.0 12.0 15.0

graficas

ID = c(1:20)
barplot(GC, names.arg = ID, col = "red", xlab = "ID", ylab = "GC", main = "Gráfica ID vs GC")

barplot(NP, names.arg = ID, col = "blue", xlab = "ID", ylab = "NP", main = "Gráfica ID vs NP")

DANE vectores

PHP = c(14.0, 24.7, 16.4, 26.0, 25.7, 24.6)
TMI =c(8.8, 10.2, 8.0, 9.1, 8.2, 9.4)

# moda 
resul = mfv(PHP)
print(resul)
## [1] 14.0 16.4 24.6 24.7 25.7 26.0
moda_TMI = mfv(TMI)
print(moda_TMI)
## [1]  8.0  8.2  8.8  9.1  9.4 10.2

media

prom_PHP = mean(PHP)
cat(prom_PHP, "%\n")
## 21.9 %
prom_TMI = mean(TMI)
print(prom_TMI)
## [1] 8.95

menor a mayor/ mediana

acom_PHP = sort(PHP)
mediana_PHP = median(acom_PHP)
cat(mediana_PHP, "%\n")
## 24.65 %
acom_TMI = sort(TMI)
mediana_TMI = median(acom_TMI)
print(mediana_TMI)
## [1] 8.95

desviacion estandar

de_PHP = sd(PHP)
de_1 = round(de_PHP, 2)
cat(de_1, "%\n")
## 5.27 %
de_TMI = sd(TMI)
de_2 = round(de_TMI, 2)
print(de_2)
## [1] 0.81

graficas

INDICADOR = c("Central", "Norte", "Sur", "Oriente", "Oeste", "Rural")
barplot(PHP, names.arg = INDICADOR, col = "green", xlab = "Indicador", ylab = "PHP", main = "Zona vs PHP")

barplot(TMI, names.arg = INDICADOR, col = "blue", xlab = "Indicador", ylab = "TMI", main = "Zona vs TMI")

grupo de estudiantes universitarios

#se crea matriz de datos
datos = matrix(c("Género", "Casado", "Soltero", "Otro", "Masculino", 8, 14, 5, "Femenino", 12, 9, 10), nrow = 3, ncol = 4, byrow = TRUE)

#se convierte la matriz en un data frame
df = as.data.frame(datos)

#Columnas
colnames(df) = c("--------", "    ", " Estado", " Conyugal")

#tabla
print(df)
##    --------         Estado  Conyugal
## 1    Género Casado Soltero      Otro
## 2 Masculino      8      14         5
## 3  Femenino     12       9        10

grafiacas

estudiantes= c(8,14,12,9)
names(estudiantes) = c("masculinos casados", "masculinos solteros", "femeninas casadas", "femeninas solteras")

barplot(estudiantes, col = "green", main = "estado civil de estudiantes universitarios")

universitarios = c(20, 23)
names(universitarios) = c("Total casados", "Total solteros")

etiquetas = paste0(round(100 * universitarios/sum(universitarios), 2), "%")
pie(universitarios, labels = etiquetas, main = "Total casados y solteros")