This repository contains code and other material submitted as part of the Data Visualization course at 
I used a wide array of visualization libraries within the Python ecosystem.
Due to the large number of wells, it isn’t feasible to manually update the chart. Instead, we opted to build and interactive dashboard using the Panel library.
The methodology used allowed us to use the decline values for each well as features that can be mapped. This is a good option to accomodate situations in which both time and location are important towards understanding the dataset.
Check it out
| Resource | Video | Notebooks |
|---|---|---|
| Presentation | Youtube |  |
For more information about this course. Please check Prof. YY repo