Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385304812> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4385304812 endingPage "126585" @default.
- W4385304812 startingPage "126585" @default.
- W4385304812 abstract "ydata-profiling is an open-source Python package for advanced exploratory data analysis that enables users to generate data profiling reports in a simple, fast, and efficient manner, fostering a standardized and visual understanding of the data. Beyond traditional descriptive properties and statistics, ydata-profiling follows a Data-Centric AI approach to exploratory analysis, as it focuses on the automatic detection and highlighting of complex data characteristics often associated with potential data quality issues, such as high ratios of missing or imbalanced data, infinite, unique, or constant values, skewness, high correlation, high cardinality, non-stationarity, seasonality, duplicate records, and other inconsistencies. The source code, documentation, and examples are available in the GitHub repository: https://github.com/ydataai/ydata-profiling." @default.
- W4385304812 created "2023-07-28" @default.
- W4385304812 creator A5017034254 @default.
- W4385304812 creator A5025340413 @default.
- W4385304812 creator A5030463032 @default.
- W4385304812 creator A5037688233 @default.
- W4385304812 creator A5039747587 @default.
- W4385304812 creator A5056906264 @default.
- W4385304812 date "2023-10-01" @default.
- W4385304812 modified "2023-09-26" @default.
- W4385304812 title "ydata-profiling: Accelerating data-centric AI with high-quality data" @default.
- W4385304812 cites W2028138594 @default.
- W4385304812 cites W2040731319 @default.
- W4385304812 cites W2085770564 @default.
- W4385304812 cites W2115969689 @default.
- W4385304812 cites W2164330572 @default.
- W4385304812 cites W2562319768 @default.
- W4385304812 cites W2724708867 @default.
- W4385304812 cites W2790031975 @default.
- W4385304812 cites W2791315675 @default.
- W4385304812 cites W2896236534 @default.
- W4385304812 cites W2908640594 @default.
- W4385304812 cites W2908849044 @default.
- W4385304812 cites W2912581782 @default.
- W4385304812 cites W2964101465 @default.
- W4385304812 cites W2997590552 @default.
- W4385304812 cites W3011155930 @default.
- W4385304812 cites W3084638819 @default.
- W4385304812 cites W3113310528 @default.
- W4385304812 cites W3212864001 @default.
- W4385304812 cites W4214710927 @default.
- W4385304812 cites W4229054007 @default.
- W4385304812 cites W4280544497 @default.
- W4385304812 cites W4280610290 @default.
- W4385304812 cites W4293718652 @default.
- W4385304812 cites W4297792660 @default.
- W4385304812 doi "https://doi.org/10.1016/j.neucom.2023.126585" @default.
- W4385304812 hasPublicationYear "2023" @default.
- W4385304812 type Work @default.
- W4385304812 citedByCount "0" @default.
- W4385304812 crossrefType "journal-article" @default.
- W4385304812 hasAuthorship W4385304812A5017034254 @default.
- W4385304812 hasAuthorship W4385304812A5025340413 @default.
- W4385304812 hasAuthorship W4385304812A5030463032 @default.
- W4385304812 hasAuthorship W4385304812A5037688233 @default.
- W4385304812 hasAuthorship W4385304812A5039747587 @default.
- W4385304812 hasAuthorship W4385304812A5056906264 @default.
- W4385304812 hasConcept C105795698 @default.
- W4385304812 hasConcept C120894424 @default.
- W4385304812 hasConcept C122342681 @default.
- W4385304812 hasConcept C124101348 @default.
- W4385304812 hasConcept C162324750 @default.
- W4385304812 hasConcept C176217482 @default.
- W4385304812 hasConcept C187191949 @default.
- W4385304812 hasConcept C199360897 @default.
- W4385304812 hasConcept C21547014 @default.
- W4385304812 hasConcept C24756922 @default.
- W4385304812 hasConcept C33923547 @default.
- W4385304812 hasConcept C41008148 @default.
- W4385304812 hasConcept C519991488 @default.
- W4385304812 hasConcept C56666940 @default.
- W4385304812 hasConceptScore W4385304812C105795698 @default.
- W4385304812 hasConceptScore W4385304812C120894424 @default.
- W4385304812 hasConceptScore W4385304812C122342681 @default.
- W4385304812 hasConceptScore W4385304812C124101348 @default.
- W4385304812 hasConceptScore W4385304812C162324750 @default.
- W4385304812 hasConceptScore W4385304812C176217482 @default.
- W4385304812 hasConceptScore W4385304812C187191949 @default.
- W4385304812 hasConceptScore W4385304812C199360897 @default.
- W4385304812 hasConceptScore W4385304812C21547014 @default.
- W4385304812 hasConceptScore W4385304812C24756922 @default.
- W4385304812 hasConceptScore W4385304812C33923547 @default.
- W4385304812 hasConceptScore W4385304812C41008148 @default.
- W4385304812 hasConceptScore W4385304812C519991488 @default.
- W4385304812 hasConceptScore W4385304812C56666940 @default.
- W4385304812 hasLocation W43853048121 @default.
- W4385304812 hasOpenAccess W4385304812 @default.
- W4385304812 hasPrimaryLocation W43853048121 @default.
- W4385304812 hasRelatedWork W179869519 @default.
- W4385304812 hasRelatedWork W2145546708 @default.
- W4385304812 hasRelatedWork W2327204559 @default.
- W4385304812 hasRelatedWork W2348361596 @default.
- W4385304812 hasRelatedWork W2391200010 @default.
- W4385304812 hasRelatedWork W2986595342 @default.
- W4385304812 hasRelatedWork W3129254793 @default.
- W4385304812 hasRelatedWork W4249289051 @default.
- W4385304812 hasRelatedWork W4312626352 @default.
- W4385304812 hasRelatedWork W4385304812 @default.
- W4385304812 hasVolume "554" @default.
- W4385304812 isParatext "false" @default.
- W4385304812 isRetracted "false" @default.
- W4385304812 workType "article" @default.