Introduction To R | Interactive Course | Vertabelo Academy

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15/22 Creating a new column based on a condition - step 3

1. Introduction

2. Creating data frames using vectors

3. Creating a data frame with the data.frame() function

4. Defining column vectors inside the data.frame() function

5. Creating a data frame with read.csv()

6. Explore the data

7. Data analysis process

8. Creating a new column with hardcoded values

9. Creating a new column from others in a data frame

10. Modifying existing columns in a data frame

11. Extracting values from character vectors

12. Updating values on filtered column

13. Creating new columns based on a condition – step 1

14. Creating new columns based on a condition – step 2

15. Creating a new column based on a condition - step 3

16. Creating a new column using several other columns

17. Creating data frames and adding new columns - summary

18. Counteroffers

19. Counteroffers dataset

20. Profitable offers

21. Counteroffer savings

22. Congratulations

Awesome! The new column was created and populated with the correct values. The default value of "0" no longer exists in this column and has been overwritten by "low", "medium", and "high".

Explore the newly created price_category column. Use the table() function to display a frequency table for category values. How many categories do you see?

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