Squey is an open-source visualization software that helps users explore and understand large amounts of tabular data. It can assess data quality by detecting invalid rows and missing values, combine visualizations to reveal patterns and anomalies, and conduct investigations to detect weak signals. With the ability to work with various datasets, Squey is used in cybersecurity, predictive maintenance, fraud and risk detection, machine learning, biomedical research, and more. In recent articles, users can learn to visualize AWS VPC Flow Logs in Squey, detect an SSH login after social engineering, filter PCAPs using complex criteria, and analyze datasets from cybersecurity challenges.
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