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Profiler:用于数据质量评估的综合统计分析和可视化

Profiler:用于数据质量评估的综合统计分析和可视化

da仔
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发布于
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2060
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We present Profiler, a visual analysis tool for assessing quality issues in tabular data. Profiler applies data mining methods to automatically flag problematic data and suggests coordinated summary visualizations for assessing the data in context. The system contributes novel methods for integrated statistical and visual analysis, automatic view suggestion, and scalable visual summaries that support real-time interaction with millions of data points. We present Profiler’s architecture — including modular components for custom data types, anomaly detection routines and summary visualizations— and describe its application to motion picture, natural disaster and water quality data sets.
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