Profiler: integrated statistical analysis and visualization for data quality assessment

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “Improve Data Data Cleaning [158], [159], [160], [161], [162], [163], [164], [165], [166] Re-labeling [119]”
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System (2016, methodology): “Visualization tools, such as ShowMe, Spotfire, and Tableau [28, 22, 8], along with similar tools from the database community [12, 19, 20, 18] have recently gained in popularity, catering to data scientists who lack programming skills.”
The Effects of Interactive Latency on Exploratory Visual Analysis (2014, background): “Profiler [26] builds in-memory data cubes for query processing.”
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (2016, unknown): “, based on chart types, statistical features or detected anomalies [23]) as well as additional visualizations (e.”
Profiling relational data: a survey (2015, background): “records that do not conform to previously established constraints [81,117].”