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R language is widely by researchers who are conducting research in big data. R language is helpful when there is huge amount of data that needs to be analysed. That is the main reason why your guide suggested you to use R language. Now speaking for basic syntaxes, there are many tutorials which help educate you about the syntaxes/ codes used in R language. But for your convenience I will include some of them below. # Create a vector of numbers numbers = c(1, 2, 3, 4, 5) print(numbers) # Create a vector of letters ltrs = c(‘a’, ‘b’, ‘c’, ‘d’, ‘e’) # Concatenate both mixed_vec = c(numbers, ltrs) print(mixed_vec)

Some of the syntaxes used in R language for the purpose of big data analysis. Here I will mention some more, which may be of some help to you. 1. Use, memory.size() to change R’s allocation limit. 2. sample() randomly reorders the elements passed as the first argument. 3. read.table can read a variety of basic data formats into tables or “data frames”. Visit https://www.w3schools.in/r/basic-syntax/ to learn about all the basic syntaxes used in R language.

Thank you all for the answers. It was informative.