I recently cobbled together a data web app using the Streamlit open-source framework. Users can upload their own data, visualize trends and features, and finally download the newly created forecast back to their computer. If you want to try it…
Jupyter notebooks make it incredibly easy to rapidly prototype vizualizations and work with data. In this example I wanted to show how you can also make interactive data vizualizations with the Plotly Python library. For the data sourcing and transformations…
I recently did a Q&A with Simple Analytical. We talk about how I got started in the world of Business Intelligence and Analytics, and include tips for people trying to get in the industry. You can check it out here:…
