Contenido del Curso
R Introduction: Part II
R Introduction: Part II
data.frame() Function
Good! Now you can see that data frames can be used to connect different data types. In the previous chapter, you considered one of the build-in datasets. How can we create a data frame with our data?
It can be done by using data.frame()
function. This function receives vectors or lists (which we will consider in the next section) as columns. The names for columns are variable's names. For example, let's create a data frame with abstract information on three people.
# Data name <- c("Alex", "Julia", "Finn") age <- c(24, 43, 32) gender <- c("M", "F", "M") # Creating a data frame test <- data.frame(name, age, gender) test # Outputting the data frame
See, the names for columns come from variables names.
Swipe to show code editor
Given two vectors: items
and prices
containing the names and prices of goods in an abstract local furniture store. Your tasks are:
- Create a data frame named
store
with two columns,items
andprices
(these are respective variables names). - Output
store
variable value.
¡Gracias por tus comentarios!
data.frame() Function
Good! Now you can see that data frames can be used to connect different data types. In the previous chapter, you considered one of the build-in datasets. How can we create a data frame with our data?
It can be done by using data.frame()
function. This function receives vectors or lists (which we will consider in the next section) as columns. The names for columns are variable's names. For example, let's create a data frame with abstract information on three people.
# Data name <- c("Alex", "Julia", "Finn") age <- c(24, 43, 32) gender <- c("M", "F", "M") # Creating a data frame test <- data.frame(name, age, gender) test # Outputting the data frame
See, the names for columns come from variables names.
Swipe to show code editor
Given two vectors: items
and prices
containing the names and prices of goods in an abstract local furniture store. Your tasks are:
- Create a data frame named
store
with two columns,items
andprices
(these are respective variables names). - Output
store
variable value.
¡Gracias por tus comentarios!
data.frame() Function
Good! Now you can see that data frames can be used to connect different data types. In the previous chapter, you considered one of the build-in datasets. How can we create a data frame with our data?
It can be done by using data.frame()
function. This function receives vectors or lists (which we will consider in the next section) as columns. The names for columns are variable's names. For example, let's create a data frame with abstract information on three people.
# Data name <- c("Alex", "Julia", "Finn") age <- c(24, 43, 32) gender <- c("M", "F", "M") # Creating a data frame test <- data.frame(name, age, gender) test # Outputting the data frame
See, the names for columns come from variables names.
Swipe to show code editor
Given two vectors: items
and prices
containing the names and prices of goods in an abstract local furniture store. Your tasks are:
- Create a data frame named
store
with two columns,items
andprices
(these are respective variables names). - Output
store
variable value.
¡Gracias por tus comentarios!
Good! Now you can see that data frames can be used to connect different data types. In the previous chapter, you considered one of the build-in datasets. How can we create a data frame with our data?
It can be done by using data.frame()
function. This function receives vectors or lists (which we will consider in the next section) as columns. The names for columns are variable's names. For example, let's create a data frame with abstract information on three people.
# Data name <- c("Alex", "Julia", "Finn") age <- c(24, 43, 32) gender <- c("M", "F", "M") # Creating a data frame test <- data.frame(name, age, gender) test # Outputting the data frame
See, the names for columns come from variables names.
Swipe to show code editor
Given two vectors: items
and prices
containing the names and prices of goods in an abstract local furniture store. Your tasks are:
- Create a data frame named
store
with two columns,items
andprices
(these are respective variables names). - Output
store
variable value.