ABSTRACT
When working with large quantities of data, it can often be difficult to present that data in a way that makes sense to non-experts. In these situations, we often rely on some form of chart to represent our data. Creating quality graphs in Python requires a lot of practice, but quality charts can be produced with Matplotlib, Altair, PyDeck, PyVis, Plotly, and Bokeh. Each has their own strengths. In this section, we will not go into these libraries, rather we will focus on how to present these different types of graphs in Streamlit.
