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

R Introduction: Part II

R Introduction: Part II

1. Matrices
2. Data Frames
3. Lists

book
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.

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# 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
copy

See, the names for columns come from variables names.

Tarefa
test

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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.

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Seção 2. Capítulo 2
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book
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.

12345678
# 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
copy

See, the names for columns come from variables names.

Tarefa
test

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:

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

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 2. Capítulo 2
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