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https://github.com/lilivalgo/coal-production-colombia
Data analysis that includes information on annual coal production, royalties generated, and climate variables. Descriptive analysis and visual analysis techniques were used
https://github.com/lilivalgo/coal-production-colombia
analysis data-visualization dataframes insights manipulation matplotlib python seaborn transformation
Last synced: 19 days ago
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Data analysis that includes information on annual coal production, royalties generated, and climate variables. Descriptive analysis and visual analysis techniques were used
- Host: GitHub
- URL: https://github.com/lilivalgo/coal-production-colombia
- Owner: LiliValGo
- Created: 2021-11-13T20:33:17.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-03-16T20:26:04.000Z (11 months ago)
- Last Synced: 2024-12-07T18:06:56.138Z (3 months ago)
- Topics: analysis, data-visualization, dataframes, insights, manipulation, matplotlib, python, seaborn, transformation
- Language: Jupyter Notebook
- Homepage:
- Size: 1.68 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# **⚒Analysis of Coal Production in Colombia**
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A dataset of 4585 rows and 11 features was analyzed. It contained information about coal production, payment of economic compensations for royalties and compensations, mining projects, and their location (departmental and municipal) from 2012 to 2020.
## **Here are the questions that were answered**
* What is the annual coal production (2012 – 2020)?
* How much did COVID-19 affect coal production and royalty generation?
* Which departments have the highest and lowest coal production and royalties?
* Which mining projects have provided economic compensation to the Colombian state as compensation?
## **Data Sources**
[Agencia Nacional Minera](https://www.datos.gov.co/Minas-y-Energ-a/ANM-Vol-men-de-Explotaci-n-de-Minerales-Asociados-/r85m-vv6c/about_data)