Plotly Express: the Good, the Bad, and the Ugly

It might be newer, but is it better?

Creating effective data visualizations is a very important part of data science from the beginning to the end of the data science process. Using visualizations during your exploratory data analysis is a great way to get a good idea of what your data is about. Creating visualizations at the end of your project is a great way to communicate your findings in an easy-to-understand way. There are so many different tools for data visualization in Python, from cult favorites like Matplotlib and…