CSVFormat

GPTKB entity

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.
gptkbp:data_access_technologies Facilitates access technologies.
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.
gptkbp:data_classification_standards Can be classified with standards.
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.
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.
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.
gptkbp:data_mining_libraries Used in data mining libraries.
gptkbp:data_mining_practices Used in data mining practices.
gptkbp:data_mining_standards Used in data mining standards.
gptkbp:data_mining_technologies Used in data mining technologies.
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.
gptkbp:data_orchestration_practices Can be part of orchestration practices.
gptkbp:data_orchestration_standards Can be part of orchestration standards.
gptkbp:data_orchestration_technologies Can be part of orchestration technologies.
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.
gptkbp:data_pipeline_standards Commonly used in pipeline standards.
gptkbp:data_pipeline_technologies Commonly used in pipeline technologies.
gptkbp:data_pipeline_tools Commonly used in pipeline tools.
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.
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.
gptkbp:data_recovery_standards Can be used in recovery standards.
gptkbp:data_recovery_technologies Can be used in recovery technologies.
gptkbp:data_retention_policies May need to follow policies.
gptkbp:data_retention_practices May need retention practices.
gptkbp:data_retention_standards May need retention standards.
gptkbp:data_retention_technologies May need retention technologies.
gptkbp:data_retention_tools May need retention tools.
gptkbp:data_science Commonly used in data science projects.
gptkbp:data_science_libraries Commonly used in data science libraries.
gptkbp:data_science_practices Commonly used in data science practices.
gptkbp:data_science_standards Commonly used in data science standards.
gptkbp:data_science_technologies Commonly used in data science technologies.
gptkbp:data_security_practices Requires security practices.
gptkbp:data_security_standards Requires security standards.
gptkbp:data_security_technologies Requires security technologies.
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.
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.
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.
gptkbp:data_workflow_standards Used in workflow standards.
gptkbp:data_workflow_technologies Used in workflow technologies.
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.
gptkbp:exported_to Commonly used for exporting data.
gptkbp:file_extension .csv
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.
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.
gptkbp:bfsParent gptkb:Apache_Commons_CSV
gptkbp:bfsLayer 6