More and more data becomes available as open data. Not all users are proficient in R or Python or lack time to implement a data-viz project to explore these datasets. I have implemented many open-data projects using Streamlit, and I am always impressed by how simple building the GUI is using Streamlit. I spend all my time editing texts, fine-tuning tables and plots and very little on the user interface itself. Most of the time, all it takes is a rainy Sunday.
The last member in this family of Streamlit apps is NBCN-Data-Explorer, an application built to explore temperature time series data from 29 stations of the swiss national basic climatology network (NBCN).
