Using Streamlit Components – streamlit-pandas-profiling

pandas-profiling is a very powerful Python library that automates some of the EDA that is often the first step in any data analysis, modeling, or even data engineering task. Before a data scientist begins almost any data work, they want to start with a good understanding of the distributions of their underlying data, the number of missing rows, correlations between variables, and many other basic pieces of information. As we mentioned before, this library automates the process and then places this interactive analytics document into a Streamlit app for the user. 

Behind the Streamlit component called pandas-profiling, there is a full Python library with the same name that the component imports its functions from. The Streamlit component here actually renders the output from the pandas-profiling Python library in a way that becomes very easy to integrate. For this segment, we will first learn how to implement the...