Building an Economic Data Dashboard with Python & Streamlit
Reviewing my workflow process to design and build a customized dashboard with Python.
Tracking economic indicators, reading a couple of medium articles, and scanning a few news headlines along with a good cup of coffee that’s how I usually start my days. We could say, my morning ritual.
As part of my starting daily routine, the time I spend on this is limited, usually measured by the time I take with my first cup of coffee, so I’m continuously looking for ways to optimize the information I consume during those few minutes.
A couple of days ago, I was thinking about cutting and better-choosing web pages, mainly where I usually track economic data, when I realized that it could be handy to build a custom dashboard and also a nice way to practice my coding skills.
One of the easiest ways I know to build a dashboard in python is through the Streamlit library. It has its pros and cons, but it would allow me to quickly build a dashboard and not burning my neurons when updating it or changing with other indicators.
For this example, I will be reusing some previous code from other articles, especially from the following ones:
