![]() Moreover, many companies/universities in the world currently demands graduates with data science skills. R make computations easy (such as transforming values to growth rate), detrending, as well as presenting data in the best way possible (such as plotting the time series of economic quantities, etc.). Learning a statistical software would also help you think critically about macroeconomic analysis that is typically found in The Economist, the Wall Street Journal, the New York Times, and other reliable sources of information, which often make heavy use of data. Macroeconomic data is constantly evolving in real-time, and R allows you to retrieve real-time data from up-to-date sources, as well as work with these datasets, quite easily. We shall use Intermediate Macroeconomics as an excuse to teach ourselves some elements of R. Many statisticians and data scientists use R (many also use python) for exploring data. It is released under the GNU General Public License, and an alternative to other popular commercial softwares such as Stata, or even Microsoft Excel. R is a free software environment for statistical computing and graphics. What is R ? Why is it useful to learn R ? ![]()
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