Basics of R- session 8- data visualization-2

one categorical and one scale variable
x- axis categorical, y axis scale
box plot



ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_boxplot()
ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_col()
ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_count()
ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_bin2d()
ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_jitter()
ggplot(mbaper, aes(mbaper$perceivedscorecat, mbaper$Percentage_in_12_Class))+geom_violin()


one categorical and one scale variable
X axis scale, Y- axis categorical
box plot

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$perceivedscorecat))+geom_bin2d()
ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$perceivedscorecat))+geom_jitter()

# better to have x axis as categorical

multiple variables
3 variables
2 scale and one categorical


ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point()

#add more layer in terms of colour

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point(aes(color=perceivedscorecat))

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point(aes(color=Previous_Degree))

#add more layer in terms of shape

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point(aes(shape=perceivedscorecat))

# divide it into parts use facets
# facet_wrap()

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point()+facet_wrap(~perceivedscorecat)

#extra facet
ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point()+facet_wrap(~perceivedscorecat+Marital_status)

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point()+facet_wrap(perceivedscorecat~Marital_status)

# we can add colour also

ggplot(mbaper, aes(mbaper$Percentage_in_12_Class, mbaper$Percentage_in_10_Class))+geom_point(aes(color=Previous_Degree))+facet_wrap(~perceivedscorecat)