Visualizing Health Data, Using Wikipedia and more...
Four articles this time about various topics: the first in the list is how I used Wikipedia tables as a data source for data analysis; the second is a visualization story about how best to represent health risk; the third is a brief comparison of Dash, Flask and Streamlit as frameworks for Plotly visualizations; and the last is a code hint about how to customize Streamlit columns.
I hope you find something interesting here.
How to Use Wikipedia as a Data Source
How to load information from Wikipedia into Pandas by finding the best team in the English Premier League
The press can very easily get it wrong when dealing with health risk data. Data visualizations can help.
Plotly with Streamlit, Dash or Flask
Which is the best framework for your data science apps
Streamlit has a limited layout model and this is normally an advantage as it allows the simple construction of sophisticated apps. sometimes it would be nice to modify the layout.
See more content on my Github web page.