variables: 738825

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

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This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
738825 Terrorist attacks Business Target attacks Businesses are defined as individuals or organizations engaged in commercial or mercantile activity as a means of livelihood. Any attack on a business or private citizens patronizing a business such as a restaurant, gas station, music store, bar, café, etc. This includes attacks carried out against corporate offices or employees of firms like mining companies, or oil corporations. Furthermore, includes attacks conducted on business people or corporate officers. Included in this value as well are hospitals and chambers of commerce and cooperatives. Does not include attacks carried out in public or quasi-public areas such as “business district or commercial area”, or generic business-related individuals such as “businessmen” (these attack are captured under “Private Citizens and Property”). Also does not include attacks against generic business-related individuals such as “businessmen.” Unless the victims were targeted because of their specific business affiliation, these attacks belong in “Private Citizens and Property.” 2023-07-26 09:29:08 2024-07-25 23:10:14     1970-2021 6156 28639   
{
    "name": "Business",
    "unit": "attacks",
    "numDecimalPlaces": 0
}
 0     total_incident_counts_business_target grapher/terrorism/2023-07-20/global_terrorism_database/global_terrorism_database#total_incident_counts_business_target   1                 
[]
         int 
[]
 66335080c9cefbe414ac4c6151e9816a a1d5a215b40e3012b361646c0bf2b047

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