Repeating the analysis in R

This brief survey session is intended to replicate most of the data analysis discussed in the preceding section using the R software. The section is self-contained in the sense that there is no dependency on any R package.

Getting ready

The functions available in the R default version suffice to perform the analysis done earlier in the chapter. The income_dist.csv file needs to be present in the current working directory.

How to do it...

A step-by-step approach to perform the analysis related to the income_dist.csv file can be easily carried out as shown in the next program.

1. Load the dataset income_dist.csv using the read.csv function and use the functions nrow, str, length, unique, and so on to get the following results:

id <- read.csv("income_dist.csv",header=TRUE) 
nrow(id) 
str(names(id)) 
length(names(id))  
ncol(id) # equivalent of previous line 
unique(id$Country) 
levels(id$Country) # alternatively 
min(id$Year) 
max(id$Year) 
id_us <- id[id$Country=...