#3 Streamlit Web App with EIA API (US Energy) Data
During our last session #2, we learned how to use the EIA API to download, preprocess, visualize and analyze US Energy generation.
In addition to the tutorial of reference we'd used for this session, we uncovered the solutions with Python step by step based on the following questions:
Which area generates more energy for each technology?
Within US48, at which hour does each technology generate more energy?
Using Pandas library, we created awesome heat matrices visualizations with pivot tables and applied tricks to manipulate the table after a groupby.
What shall we cover during this upcoming session?
Pending questions
Specify the date range within the EIA API
Verifying correct values from energy generation US48
New challenge
Create a Streamlit web application (dashboard) using EIA API data.
Why a web application?
After all the hard work you've put into processing the data from EIA API, you'd like to showcase the insights to your colleagues in an interactive environment with no code.
Session Agenda
Learn the outline of the session to make the most of it.