Introduction To R | Interactive Course | Vertabelo Academy

Deals Of The Week - hours only!Up to 80% off on all courses and bundles.-Close

34/36 Exercise 5

1. Welcome to Part 3

2. Data frames - introduction

3. Displaying the first six rows of a data frame - head()

4. Determining the number of rows in a data frame

5. Determining the number of columns

6. Column names

7. Determining the column types of a data frame

8. Accessing columns by name

9. Accessing columns with $

10. Accessing multiple columns of a data frame by name

11. Accessing data frame columns with indexing

12. Accessing several columns with indexing

13. Accessing a row based on its position

14. Accessing several rows based on their positions

15. Accessing rows based on conditions

16. Accessing rows based on conditions - syntax rules

17. Accessing rows based on conditions - additional example

18. Using filtering in analysis - nrow

19. Logical operators in row filtering

20. Accessing rows and columns combined

21. Accessing rows and several columns

22. Simple column analysis

23. Filtered column analysis

24. Summary for a column

25. Numeric column visualization - histograms

26. Summary for a whole data frame

27. Summary for a filtered data frame

28. Analyzing filtered data frames

29. Data frames - summary

35. Self-study ideas

36. Congratulations

Perfect! This is the last exercise.

Now that you have the names of the two countries with the highest GDPs in Europe (Poland and Germany), display the cities that belong to these two countries. Use the cities data frame.

Our website uses cookies. By using this website, you agree to their use in accordance with the browser settings.You can modify your browser settings on your own. For more information see our Privacy Policy.