Who wouldn't want to skip the nitty gritty of data cleaning all together, yet the real world data, while containing a massive amount of information, quite are often messy and demand a lot of work.

However, the seemingly mundane task can be interesting and informative if you lack the domain knowledge - you get to learn what features/information are essential for answering your burning questions. In this post, let's explore the different approach in R and Python to bring different data together and join the dots.