Building Interactive Data Visualizations in Python: An Introduction to Plotly

Data visualization is one of the most important tasks for Data Professionals. It helps us, in fact, understand the data and to ask more questions for further investigations. But data visualization is not only a task we have to conclude in the Exploratory Data Analysis phase. We may also need to present the data, often to an audience to help it grab some conclusions. In Python, we generally use <code>matplotlib</code> and <code>seaborn</code> as libraries to plot our graphs. <a href="https://medium.com/towards-data-science/building-interactive-data-visualizations-in-python-an-introduction-to-plotly-3ffdd920fc63">Read More</a>