Introduction To R | Interactive Course | Vertabelo Academy

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31/36 Exercise 2

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

You're doing great!

What is the highest GDP in the countries_gdp data frame, given that the column is named gdp_millions?

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