How to build interactive data visualizations using Plotly and Python

Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data analysis phase it’s very important to understand the data we’re dealing with, and visual representations of our data can be extremely important. It’s common for us to work on these projects using Jupyter notebooks because they’re great, fast, simple, and they allow us to interact and play with our data. However there are limitations to what we can do, normally when we work with charts we use libraries like… This story continues at The Next Web