library(readr)
alumnos <- read.csv("https://raw.githubusercontent.com/rpizarrog/probabilidad-y-estad-stica/master/datos/promedios%20alumnos/datos%20alumnos%20promedios%20SEP%202020.csv")
sistemas <- subset(x = alumnos, Carrera == "SISTEMAS" & Semestre > 1)
mean(sistemas$Promedio)
## [1] 85.67495
arquitectura <- subset(x = alumnos, Carrera == "ARQUITECTURA" & Semestre > 1)
mean(arquitectura$Promedio)
## [1] 86.46481
sistemas_primero <- subset(x = alumnos, Carrera == "SISTEMAS" & Semestre == 1)
arquitectura_primero <- subset(x = alumnos, Carrera == "ARQUITECTURA" & Semestre == 1)
plot(sistemas$Promedio, col = '#23A4DA')
plot(arquitectura$Promedio, col = '#8F54D0')
color_hist <- colorRampPalette(c("#f6f6f6", "#ffbb91", "#ff8e6e"))
hist(sistemas$Promedio, col = color_hist(3))
hist(arquitectura$Promedio, col = color_hist(12))
color_box <- c("#e8ded2",
"#a3d2ca",
"#5eaaa8",
"#fabea7",
"#fbe2e5",
"#9cada4",
"#ffd5cd",
"#efbbcf",
"#c3aed6",
"#ffdecf",
"#ba7967",
"#5e6f64")
boxplot(Promedio ~ Semestre, sistemas, col = color_box)
boxplot(Promedio ~ Semestre, arquitectura, col = color_box)
boxplot(Promedio ~ Carrera, alumnos, col = color_box)