Our first project at Flatiron School is now wrapping up and it has been a very exciting process! I have learned a great deal about data analysis, including how much there still is to learn. Our first project was centered around a hypothetical scenario in which Microsoft is interested in entering the film production business as other tech giants have been doing in recent years. Students were provided with the necessary data to begin to understand what makes a successful movie in the box office. Let us know explore the generic outline for conducting a data analysis project using the Microsoft Movie project as an example.
A common saying goes that data scientists typically spend 60-80% of their time gathering, cleaning, and exploring data. For these tasks, the Pandas library has proven to be a very useful and robust library being built on top of Matplotlib and Numpy. I hope you find these neat tricks to be as useful in cleaning and exploring data in Pandas as they have been for me.