Module #9 Assignment

 #1 

# Create the data frame

assignment_data <- data.frame(

  Country = c("France", "Spain", "Germany", "Spain", "Germany", "France", "Spain", "France", "Germany", "France"),

  age = c(44, 27, 30, 38, 40, 35, 52, 48, 45, 37),

  salary = c(6000, 5000, 7000, 4000, 8000, 6000, 5000, 7000, 4000, 8000),

  Purchased = c("No", "Yes", "No", "No", "Yes", "Yes", "No", "Yes", "No", "Yes")

)


# Create a table

simple_table <- data.frame(

  Country = assignment_data$Country,

  age = assignment_data$age,

  salary = assignment_data$salary,

  Purchased = assignment_data$Purchased

)


# Print the table

print(simple_table)


#2 

# Load the mtcars dataset

data(mtcars)


# Create a contingency table

assignment9 <- table(mtcars$gear, mtcars$cyl, dnn = c("gears", "cylinders"))


# Print the contingency table

print(assignment9)


#2.1 

# Add margins to the table

table_with_margins <- addmargins(assignment9)


# Print the table with margins

print(table_with_margins)


#2.2

# Calculate proportional weights

proportional_weights <- prop.tables(assignment9)


# Print the proportional weights

print(proportional_weights)


#2.3 

# Calculate row proportions

row_proportions <- prop.table(assignment9, margin = 1)


# Print the row proportions

print(row_proportions)

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