Data analysis for WHO data for R beginners

data analysis for WHO data

1. BBUS 539 Market Intelligence WHO data --- Introduction To R

2. Basic calculations

3. Functions

4. Create variables

5. Vectors

6. Select item in Vector

7. Create Data Frame

8. Create Data2 using cbind – add column

9. Create data frame ( NewData )

10. Combine data frames (by row)--- rbind

11. Read csv file and str ()

12. Summary()

13. Subset( df , x == “ ”)

14. Save data to file ( write.csv ) Remove data from memory: rm ()

15. Basic data analysis

16. Which country has the lowest % of population under age 15?

17. Which country has the highest % of population under age 15?

18. In one line: Which country has the highest % of population under age 15?

19. Sort the records according to the % population under age 15 Show the lowest 4 values

20. Show top 2 countries with the highest % population under 15 (notice the minus sign)

21. Plot ( df$x , df$y )

22. Subsetting Which countries have income>$10K and fertility rate > 2.5? Subset ( df , condition)

23. How many of them? Nrow ( df ) Project columns

24. Boxplot with Labels and title

25. Summary Tables

26. Show the average % of population over 60 across Regions

27. Show the Minimum literacy rate across Regions

28. Show the Minimum literacy rate across Regions

29. Show the Minimum literacy rate across Regions (remove missing)