Sadece halkalı gezegenler

Genellikle bir veri çerçevesinden tam bir sütunu, yani belirli bir değişkeni seçmek istersiniz. Örneğin, diameter değişkeninin tüm öğelerini seçmek istiyorsanız şunların her ikisi de işinizi görecektir:

planets_df[,3]
planets_df[,"diameter"]

Ancak kestirme bir yol var. Sütunlarınızın adları varsa $ işaretini kullanabilirsiniz:

planets_df$diameter

Bu egzersiz, kursun bir parçasıdır

R’ye Giriş

Kursa Göz Atın

Egzersiz talimatları

planets_df veri çerçevesinden rings değişkenini seçmek için $ işaretini kullanın. Ortaya çıkan vektörü rings_vector olarak depolayın.
Doğru yapıp yapmadığınızı görmek için rings_vector sonucunun çıktısını alın.

Uygulamalı etkileşimli egzersiz

Bu egzersizi bu örnek kodu tamamlayarak deneyin.

# planets_df is pre-loaded in your workspace

# Select the rings variable from planets_df
rings_vector <- 
  
# Print out rings_vector

Kodu Düzenle ve Çalıştır

Bu egzersiz, kursun bir parçasıdır

R’ye Giriş

InicianteNível de habilidade

4.8+

Kursa Ücretsiz Başla

Take your first steps with R. In this chapter, you will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started.

Exercise 1: How it works Exercise 2: Arithmetic with R Exercise 3: Variable assignment Exercise 4: Variable assignment (2)Exercise 5: Variable assignment (3)Exercise 6: Apples and oranges Exercise 7: Basic data types in R Exercise 8: What's that data type?

We take you on a trip to Vegas, where you will learn how to analyze your gambling results using vectors in R. After completing this chapter, you will be able to create vectors in R, name them, select elements from them, and compare different vectors.

Exercise 1: Create a vector Exercise 2: Create a vector (2)Exercise 3: Create a vector (3)Exercise 4: Naming a vector Exercise 5: Naming a vector (2)Exercise 6: Calculating total winnings Exercise 7: Calculating total winnings (2)Exercise 8: Calculating total winnings (3)Exercise 9: Comparing total winnings Exercise 10: Vector selection: the good times Exercise 11: Vector selection: the good times (2)Exercise 12: Vector selection: the good times (3)Exercise 13: Vector selection: the good times (4)Exercise 14: Selection by comparison - Step 1 Exercise 15: Selection by comparison - Step 2 Exercise 16: Advanced selection

In this chapter, you will learn how to work with matrices in R. By the end of the chapter, you will be able to create matrices and understand how to do basic computations with them. You will analyze the box office numbers of the Star Wars movies and learn how to use matrices in R. May the force be with you!

Exercise 1: What's a matrix?Exercise 2: Analyze matrices, you shall Exercise 3: Naming a matrix Exercise 4: Calculating the worldwide box office Exercise 5: Adding a column for the Worldwide box office Exercise 6: Adding a row Exercise 7: The total box office revenue for the entire saga Exercise 8: Selection of matrix elements Exercise 9: A little arithmetic with matrices Exercise 10: A little arithmetic with matrices (2)

Data often falls into a limited number of categories. For example, human hair color can be categorized as black, brown, blond, red, grey, or white—and perhaps a few more options for people who color their hair. In R, categorical data is stored in factors. Factors are very important in data analysis, so start learning how to create, subset, and compare them now.

Exercise 1: What's a factor and why would you use it?Exercise 2: What's a factor and why would you use it? (2)Exercise 3: What's a factor and why would you use it? (3)Exercise 4: Factor levels Exercise 5: Summarizing a factor Exercise 6: Battle of the sexes Exercise 7: Ordered factors Exercise 8: Ordered factors (2)Exercise 9: Comparing ordered factors

Most datasets you will be working with will be stored as data frames. By the end of this chapter, you will be able to create a data frame, select interesting parts of a data frame, and order a data frame according to certain variables.

Exercise 1: Veri çerçevesi nedir?Exercise 2: Veri kümenize hızlıca bakma Exercise 3: Yapıya göz atma Exercise 4: Veri çerçevesi oluşturma Exercise 5: Veri çerçevesi oluşturma (2)Exercise 6: Veri çerçevesi elemanlarını seçme Exercise 7: Veri çerçevesi elemanlarını seçme (2)Exercise 8: Sadece halkalı gezegenler

Geçerli egzersiz

Exercise 9: Sadece halkalı gezegenler (2)Exercise 10: Sadece halkalı gezegenler ama kestirme yol Exercise 11: Sıralama Exercise 12: Veri çerçevenizi sıralama

As opposed to vectors, lists can hold components of different types, just as your to-do lists can contain different categories of tasks. This chapter will teach you how to create, name, and subset these lists.

Exercise 1: Lists, why would you need them?Exercise 2: Lists, why would you need them? (2)Exercise 3: Creating a list Exercise 4: Creating a named list Exercise 5: Creating a named list (2)Exercise 6: Selecting elements from a list Exercise 7: Creating a new list for another movie