Our World in Data now includes data and research on global health, violence, poverty, inequality, economic growth, environmental changes, food and agriculture, energy, technological change, education and more specific topics. Now I am working with a great team and we want to cover global development as broadly as we can to show how our world is changing. I visualize global development data on, a free online publication on how living conditions around the world are changing. So depending on the scale it could be your best asset or an absolute pain in the ass.Hi Reddit! My name is Max Roser. It worked great till you tried to make a page of them with multiple plots, I had to learn how to use their caching tools as well as using some cloud resource to keep a cache of things the browser couldn’t an such.
For example I worked on building an auto data exploration tool that would allow me or other data scientists at an org quickly generate and save plots for a specific dataset. Here’s the thing though, if you’re building anything beyond a dashboard with set plots and logic streamlit becomes very complicated and heavy. There’s quite a few good tutorials out there on how to do it for aws or gcp. I’ve built some very complex projects with streamlit and it’s very easy to build great dashboards in with plotly and then you deploy it on aws ec2 by dockerizing it. I think depending on if this is a professional or personal project I would pick streamlit or stick with Dash.
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