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World Geological Mineral Data
Data Science and Analytics
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About
This dataset provides details on mineral ores found across the globe, offering insights into their geological presence and characteristics. It serves as a valuable resource for understanding the distribution of precious minerals worldwide, encouraging in-depth exploration and analysis.
Columns
- site_name: The name of the site where the mineral is found.
- latitude: The geographical latitude of the mineral site.
- longitude: The geographical longitude of the mineral site.
- region: The continent where the mineral site is located.
- country: The country where the mineral site is located.
- state: The state or province where the mineral site is located.
- county: The county, if available, for the mineral site.
- com_type: The categorical compound type.
- commod1: The first mineral identified at the site.
- commod2: The second mineral identified at the site.
- commod3: The third mineral identified at the site.
- oper_type: Details on where the mineral is present and the type of operation required.
- dep_type: Information on where the deposit is present.
- prod_size: The categorical type indicating the quantity of mineral produced.
- dev_stat: The development status of the mineral site.
- ore: The specific mineral ore found.
- gangue: Any unwanted minerals present alongside the ore.
- work_type: The type of work required at the site.
- names: Alternative names for the site or mineral deposit.
- ore_ctrl: The name of the ore controller.
- hrock_type: The first rock type associated with the deposit.
- arock_type: The second rock type associated with the deposit.
Distribution
The dataset is provided as a CSV file, named 'Mineral ores round the world.csv', with a file size of 43.05 MB. It contains 22 columns and a significant volume of rows, with approximately 305,000 valid records for key geographical attributes. Specific row counts for all columns are not available, but the majority of core columns contain around 305,000 entries.
Usage
This dataset is ideal for various applications, including:
- Exploratory Data Analysis (EDA) to uncover patterns and trends in mineral distribution.
- Machine Learning for predictive modelling related to mineral deposits.
- Data Analytics to extract valuable insights on global mineral resources.
- Data Visualisation to create geographical maps and charts illustrating mineral locations and types.
- Economic Analysis to study the implications of mineral availability.
- Geological Research to understand mineral formations and characteristics.
Coverage
The dataset covers mineral ores found all over the Earth, with geographical coordinates ranging from -73 to 80 for latitude and -179 to 179 for longitude. Regions include North America (NA), South America (SA), and other continents, with the United States being the most frequently represented country. Specific time ranges for the data are not detailed within the provided information, and the dataset does not contain demographic scope as it focuses on geological features.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users including:
- Data Scientists for developing predictive models and conducting advanced analytics.
- Geologists for research into mineral formations and deposit locations.
- Economists interested in the supply and demand dynamics of global mineral resources.
- Researchers and Students in geology, earth sciences, data science, and related fields for academic projects and studies.
- Anyone performing Data Analytics or Data Visualisation related to natural resources.
Dataset Name Suggestions
- Global Mineral Ore Deposits
- World Geological Mineral Data
- Earth's Mineral Resources
- International Ore Deposits Atlas
- Mineral Locations Worldwide
Attributes
Original Data Source: World Geological Mineral Data
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