This repository contains Python code for plotting historical petroleum production data in the Philippines from 1979 to 2021. The code uses the Plotly library to create interactive plots that visualize the data over time. This can be helpful for understanding how petroleum production has changed over the years, and for identifying potential problems or opportunities.
- Interactive visualization: Explore the historical petroleum production data plot with zooming, panning, and hovering capabilities.
- Data visualization: Display different aspects of the petroleum production data, such as the total production, the production of different types of petroleum, or the production by oilfield, gas field and condensate field.
- Data customization: Adjust plot properties, such as colors, fonts, and titles, to customize the visualization.
- Easy to use: The code is easy to use and does not require any special knowledge of Python.
The interactive plot may not be visible when viewing the Jupyter Notebook file directly on GitHub. An alternative HTML file (Petprod Philippines.html) is included in this repository, which showcases the interactive plot without the need to run the Jupyter Notebook.
The data set for this repository was sourced from the Department of Energy in the Philippines, available on their website: https://www.doe.gov.ph/energy-information-resources?q=energy-resources/petroleum-statistics. Accessed August 21, 2023.
Contributions to this open-source project are welcome. If you have any suggestions, improvements, or bug fixes, feel free to open an issue or submit a pull request.
Thank you so much for visiting and taking the time to read this GitHub repository. I hope you found it informative and learned something new. Your support and interest are sincerely appreciated. I hope that these plots will be a valuable resource for anyone who is interested in understanding the petroleum industry in the Philippines.
