Data Analysis > Descriptive Statistics > Frequency Table and related Graphs-1

Frequency Table and related Graphs

table(df$gender)

x=prop.table(table(df$Gender))

as.data.frame(table(df$Gender))

Constructing Bar Plot

gender_freq <- table(df$gender)

barplot(gender_freq, main = "Gender Distribution", 

        xlab = "Gender",  ylab = "Count", col = "lightblue")

 

We can use ggplot2 also to have a finest graph

library(ggplot2)

ggplot(df, aes(x = gender)) +

  geom_bar(fill = "skyblue") +

  labs(title = "Gender Distribution", x = "Gender", y = "Count") +

  theme_minimal()

 

Constructing a Pie Chart

Here we are going to use frequency table saved in a variable ‘x’ which is not a dataframe.

pie(gender_freq,

     main = "Gender Distribution",

     col = rainbow(length(gender_freq)),

     labels = paste(names(gender_freq), round(100 * prop.table(gender_freq), 1), "%"))

 

Using GGplot2

ggplot(df, aes(x = "", fill = gender)) +

  geom_bar(width = 1) +

  coord_polar("y") +

  labs(title = "Gender Distribution") +

  theme_void()

 

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