Regression Plots and Economic Visuals in Streamlit

I’ve written a couple of new articles since my last post. The first one below describes a Streamlit app that visualizes the economic impact of the pandemic on the G7 group of countries. Apart from the article there is a downloadable Jupyter notebbok and you can see a Streamlit app here.

In developing this I wanted to look provide regression plots that modeled different parts of the economic history of the last few years. I used SciPy to create the models and the second article describes how.

I hope you find them interesting.

• Visualizing the Economic Impact of the Pandemic using Jupyter Notebooks and Streamlit: Are we back on track after the shock of the COVID pandemic? We can use OECD data, Python, a simple regression model and Jupyter Notebooks…

• Adding Regression Lines to Pandas Plots with SciPy: Regression can be used to predict the future or to identify trends and relationships in data