Statements (167)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:document
|
gptkbp:analysis |
Can be used as input for visualization tools.
Commonly used in data analysis. Many tools support CSV input. |
gptkbp:archives |
Can be archived for long-term storage.
|
gptkbp:character_encoding |
UTF-8
|
gptkbp:data_access_practices |
Facilitates access practices.
|
gptkbp:data_access_standards |
Facilitates access standards.
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gptkbp:data_access_technologies |
Facilitates access technologies.
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gptkbp:data_access_tools |
Facilitates access tools.
|
gptkbp:data_aggregation |
Can be aggregated using programming tools.
|
gptkbp:data_archiving_practices |
Can be archived with practices.
|
gptkbp:data_archiving_standards |
Can be archived with standards.
|
gptkbp:data_archiving_technologies |
Can be archived with technologies.
|
gptkbp:data_audit |
Can be audited for compliance.
|
gptkbp:data_audit_practices |
Can be audited with practices.
|
gptkbp:data_audit_standards |
Can be audited with standards.
|
gptkbp:data_audit_technologies |
Can be audited with technologies.
|
gptkbp:data_audit_tools |
Can be audited with tools.
|
gptkbp:data_backup_practices |
Can be part of backup practices.
|
gptkbp:data_backup_solutions |
Can be part of backup solutions.
|
gptkbp:data_backup_standards |
Can be part of backup standards.
|
gptkbp:data_backup_technologies |
Can be part of backup technologies.
|
gptkbp:data_classification_practices |
Can be classified with practices.
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gptkbp:data_classification_standards |
Can be classified with standards.
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gptkbp:data_classification_technologies |
Can be classified with technologies.
|
gptkbp:data_classification_tools |
Can be classified with tools.
|
gptkbp:data_cleaning |
Often requires preprocessing.
|
gptkbp:data_documentation |
Can serve as documentation for datasets.
|
gptkbp:data_filtering |
Can be filtered in spreadsheet applications.
|
gptkbp:data_governance |
May need governance policies.
|
gptkbp:data_governance_practices |
May need governance practices.
|
gptkbp:data_governance_standards |
May need governance standards.
|
gptkbp:data_governance_technologies |
May need governance technologies.
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gptkbp:data_governance_tools |
May need governance tools.
|
gptkbp:data_integration_practices |
Commonly used in integration practices.
|
gptkbp:data_integration_standards |
Commonly used in integration standards.
|
gptkbp:data_integration_technologies |
Commonly used in integration technologies.
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gptkbp:data_integration_tools |
Commonly used in integration tools.
|
gptkbp:data_lake |
Can be used in data lakes.
|
gptkbp:data_lake_practices |
Can be used in lake practices.
|
gptkbp:data_lake_solutions |
Can be used in lake solutions.
|
gptkbp:data_lake_standards |
Can be used in lake standards.
|
gptkbp:data_lake_technologies |
Can be used in lake technologies.
|
gptkbp:data_lifecycle |
Part of data lifecycle management.
|
gptkbp:data_lifecycle_practices |
Part of lifecycle practices.
|
gptkbp:data_lifecycle_standards |
Part of lifecycle standards.
|
gptkbp:data_lifecycle_technologies |
Part of lifecycle technologies.
|
gptkbp:data_lifecycle_tools |
Part of lifecycle tools.
|
gptkbp:data_migration_practices |
Many practices support migration.
|
gptkbp:data_migration_standards |
Many standards support migration.
|
gptkbp:data_migration_technologies |
Many technologies support migration.
|
gptkbp:data_migration_tools |
Many tools support CSV migration.
|
gptkbp:data_mining |
Used in data mining applications.
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gptkbp:data_mining_libraries |
Used in data mining libraries.
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gptkbp:data_mining_practices |
Used in data mining practices.
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gptkbp:data_mining_standards |
Used in data mining standards.
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gptkbp:data_mining_technologies |
Used in data mining technologies.
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gptkbp:data_modeling |
Can be used in data modeling.
|
gptkbp:data_normalization |
Can be normalized for analysis.
|
gptkbp:data_orchestration |
Can be part of data orchestration.
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gptkbp:data_orchestration_practices |
Can be part of orchestration practices.
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gptkbp:data_orchestration_standards |
Can be part of orchestration standards.
|
gptkbp:data_orchestration_technologies |
Can be part of orchestration technologies.
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gptkbp:data_orchestration_tools |
Can be part of orchestration tools.
|
gptkbp:data_pipeline |
Commonly used in data pipelines.
|
gptkbp:data_pipeline_practices |
Commonly used in pipeline practices.
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gptkbp:data_pipeline_standards |
Commonly used in pipeline standards.
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gptkbp:data_pipeline_technologies |
Commonly used in pipeline technologies.
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gptkbp:data_pipeline_tools |
Commonly used in pipeline tools.
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gptkbp:data_privacy |
Sensitive data should be anonymized.
|
gptkbp:data_quality_practices |
Can be used with quality practices.
|
gptkbp:data_quality_standards |
Can be used with quality standards.
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gptkbp:data_quality_technologies |
Can be used with quality technologies.
|
gptkbp:data_quality_tools |
Can be used with quality tools.
|
gptkbp:data_recovery_practices |
Can be used in recovery practices.
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gptkbp:data_recovery_standards |
Can be used in recovery standards.
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gptkbp:data_recovery_technologies |
Can be used in recovery technologies.
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gptkbp:data_retention_policies |
May need to follow policies.
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gptkbp:data_retention_practices |
May need retention practices.
|
gptkbp:data_retention_standards |
May need retention standards.
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gptkbp:data_retention_technologies |
May need retention technologies.
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gptkbp:data_retention_tools |
May need retention tools.
|
gptkbp:data_science |
Commonly used in data science projects.
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gptkbp:data_science_libraries |
Commonly used in data science libraries.
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gptkbp:data_science_practices |
Commonly used in data science practices.
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gptkbp:data_science_standards |
Commonly used in data science standards.
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gptkbp:data_science_technologies |
Commonly used in data science technologies.
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gptkbp:data_security_practices |
Requires security practices.
|
gptkbp:data_security_standards |
Requires security standards.
|
gptkbp:data_security_technologies |
Requires security technologies.
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gptkbp:data_security_tools |
Requires security tools.
|
gptkbp:data_size |
Can handle large datasets.
|
gptkbp:data_sorting |
Can be sorted using spreadsheet software.
|
gptkbp:data_sourcing |
Used for sourcing data.
|
gptkbp:data_standardization |
May require standardization.
|
gptkbp:data_storage_solutions |
Can be stored in various solutions.
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gptkbp:data_storage_standards |
Can be stored in various standards.
|
gptkbp:data_storage_technologies |
Can be stored in various technologies.
|
gptkbp:data_transformation |
Often used in ETL processes.
|
gptkbp:data_transformation_practices |
Often used in transformation practices.
|
gptkbp:data_transformation_standards |
Often used in transformation standards.
|
gptkbp:data_transformation_technologies |
Often used in transformation technologies.
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gptkbp:data_transformation_tools |
ETL tools often support CSV.
Often used in transformation tools. |
gptkbp:data_type |
Text, numbers, dates
|
gptkbp:data_versioning |
Not inherently supported.
|
gptkbp:data_visualization_libraries |
Many libraries support CSV.
|
gptkbp:data_visualization_practices |
Many practices support visualization.
|
gptkbp:data_visualization_standards |
Many standards support visualization.
|
gptkbp:data_visualization_technologies |
Many technologies support visualization.
|
gptkbp:data_warehouse |
Often used in data warehousing.
|
gptkbp:data_warehouse_practices |
Can be used in warehouse practices.
|
gptkbp:data_warehouse_solutions |
Can be used in warehouse solutions.
|
gptkbp:data_warehouse_standards |
Can be used in warehouse standards.
|
gptkbp:data_warehouse_technologies |
Can be used in warehouse technologies.
|
gptkbp:data_workflow |
Used in data workflows.
|
gptkbp:data_workflow_practices |
Used in workflow practices.
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gptkbp:data_workflow_standards |
Used in workflow standards.
|
gptkbp:data_workflow_technologies |
Used in workflow technologies.
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gptkbp:data_workflow_tools |
Used in workflow tools.
|
gptkbp:delimiter |
, (comma)
|
gptkbp:description |
A format for storing tabular data in plain text.
|
gptkbp:encoding_issues |
May encounter issues with special characters.
|
gptkbp:escape_character |
\ (backslash)
|
gptkbp:example |
Exporting data from databases.
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gptkbp:exported_to |
Commonly used for exporting data.
|
gptkbp:file_extension |
.csv
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gptkbp:has_limitations |
No support for complex data types.
|
gptkbp:has_variations |
Different delimiters can be used.
|
gptkbp:headliner |
Optional
|
https://www.w3.org/2000/01/rdf-schema#label |
CSVFormat
|
gptkbp:importing |
Commonly used for importing data into applications.
|
gptkbp:is_integrated_with |
Compatible across different platforms.
|
gptkbp:is_standardized_by |
No formal standard exists.
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gptkbp:latest_version |
Not inherently supported.
|
gptkbp:line_ending |
LF (Line Feed)
|
gptkbp:migration |
Used in data migration processes.
|
gptkbp:newline_handling |
May vary between systems.
|
gptkbp:notable_applications |
Spreadsheet applications
|
gptkbp:origin |
Derived from the comma-separated values format.
|
gptkbp:product_quality |
Quality depends on source data.
|
gptkbp:programming_libraries |
Pandas, Open CSV, etc.
|
gptkbp:provides_information_on |
Facilitates data integration.
Commonly used for importing data. Facilitates collaboration on data. Facilitates data access. Facilitates data sharing between systems. |
gptkbp:provides_support_for |
Widely supported by programming languages.
|
gptkbp:quote_character |
" (double quote)
|
gptkbp:readability |
Human-readable
|
gptkbp:recovery_method |
Can be used in data recovery.
|
gptkbp:reports_to |
Used for generating reports.
|
gptkbp:scientific_classification |
Can be classified based on content.
|
gptkbp:security |
May need to comply with regulations.
No built-in validation. Requires security measures. Sensitive data should be handled carefully. |
gptkbp:storage |
Can be stored in various practices.
Can be used for data backup. Used for lightweight data storage. |
gptkbp:student_enrollment |
Can be used for data retention.
|
gptkbp:supports |
Multi-line fields
|
gptkbp:used_in |
Data exchange
|
gptkbp:video_output |
Can be compressed using ZIP.
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gptkbp:bfsParent |
gptkb:Apache_Commons_CSV
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gptkbp:bfsLayer |
6
|