data.frame() Function | Data Frames
R Introduction: Part II

Contenido del Curso

R Introduction: Part II

1. Matrices
2. Data Frames
3. Lists

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.

See, the names for columns come from variables names.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

¿Todo estuvo claro?

Sección 2. Capítulo 2

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.

See, the names for columns come from variables names.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

¿Todo estuvo claro?

Sección 2. Capítulo 2

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.

See, the names for columns come from variables names.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

¿Todo estuvo claro?

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.

See, the names for columns come from variables names.

Tarea

Given two vectors: `items` and `prices` containing the names and prices of goods in an abstract local furniture store. Your tasks are:

1. Create a data frame named `store` with two columns, `items` and `prices` (these are respective variables names).
2. Output `store` variable value.

Sección 2. Capítulo 2
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