Three R Libraries Every Data Scientist Should Know (Even if You Use Python) - KDnuggets


For the longest time, I was quite against using R for no other reason other than the fact that it wasn't Python. But after playing around with R for the past few months, I realized that R outclasses Python in several use cases, particularly for statistical analyses. As well, R has some powerful packages that were built by the world's biggest tech companies, and they aren't in Python! And so, in this article, I wanted to go over three R packages that I highly recommend that you take the time to learn and equip in your arsenal of tools because they are seriously powerful tools. Let's say your company launched a new TV ad for the Super Bowl and they wanted to see how it impacted conversions. Causal impact analysis attempts to predict what would have happened if the campaign never occurred -- this is called the counterfactual.