R or Python for Data Science?

I think a good reference to help in choosing between R and Python would be to take a look at the Data Science Lifecycle. Similar to any cycle, the Data Science lifecycle is an iterative process, each step will be continuously revisited when solving a business problem. Apart from'Business Understanding' each component will be a crucial factor in choosing between R and Python for a Data Science application. Personally, I prefer R when it comes to data preparation, EDA, and building less complex models. Performing statistical analysis is what R is recognized for across the industry, and its data visualization tools are a big part of it with libraries such as gg2plot.