Python: Analysing correlations in popular movies

Throughout the course of this project, I acquired several key learnings:

My interaction with Matplotlib, despite prior familiarity, I was encountering multiple errors during this project. These challenges significantly contributed to my enhanced comprehension and adeptness with this tool. The process involved a deeper exploration of its functionalities and comprehensive study of its documentation.

Working extensively within the Jupyter notebook environment provided valuable insights into its operational dynamics. Specifically, I gained a nuanced understanding of how Jupyter notebooks execute code and the commonplace challenges one encounters, such as code re-execution following the reopening of the notebook.

Additionally, this project afforded me an opportunity to further develop my skills in data visualization, particularly in the realm of interpreting complex datasets through graphical representation. This encompassed employing various visualization techniques to effectively communicate insights derived from intricate data structures.