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R is one of the most successful languages in the data science community primarily because of its user-friendly ecosystem. Reading and writing CSV files is one of the most common operations in Data Science and hence is in-built in R and does not need installation of new packages. This task will introduce you to some common functions and how easy, it is to deal with data frames in R.

Tasks:

1. Read a CSV file from your local computer along with its headers and convert it into a data frame.
2. Print the first few members of the data frame using an in-built function in R.
3. Create a new data frame student in R with at least 5 observations and 3 variables, name, age and class.
4. Add a new column height into the data frame and then add a new row into the data frame.
5. Export the data frame into a CSV file students.csv.
6. Read a CSV file from the internet directly into R without downloading the file manually and print the first few members.

You can find help on this at the following links: https://www.tutorialspoint.com/r/r_csv_files.htm https://www.cyclismo.org/tutorial/R/input.html#reading-a-csv-file

Attach screenshots of the task executing on your machine. Upload your code on Github including a README highlighting all your steps and submit a link to the repository.