25,000 admissions with mixed dates, nulls, and duplicate IDs.
Instant profiling, quality flags, visualizations, and a plain-English synopsis — automatically. Then ask questions or generate SQL.
About the data
Download CSV25k hospital admission records with three deliberate DQ issues: mixed date formats (ISO/US/UK), ~8% null age_group, and ~2% duplicate admission IDs. A realistic scenario for date standardisation and null-imputation workflows.
Data is synthetic and for demonstration purposes only. Inspired by Kaggle · Hospital Patient Records
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Frequently Asked Questions
What is the Healthcare Admissions dataset?▾
25k hospital admission records with three deliberate DQ issues: mixed date formats (ISO/US/UK), ~8% null age_group, and ~2% duplicate admission IDs. A realistic scenario for date standardisation and null-imputation workflows.
How many rows and columns does the Healthcare Admissions dataset have?▾
The Healthcare Admissions dataset contains 25,000 rows and 10 columns. The file size is approximately 1.7 MB in CSV format.
What can I do with the Healthcare Admissions dataset in Infoveave?▾
You can upload the Healthcare Admissions CSV directly into Infoveave and use Fovea AI to get instant profiling, data quality checks, visualizations, and a plain-English synopsis. You can also ask natural-language questions or generate SQL — no coding required.
Is the Healthcare Admissions dataset free to download?▾
Yes, the Healthcare Admissions dataset is completely free to download as a CSV file. It is a synthetic dataset inspired by publicly available healthcare data patterns, created for demonstration and learning purposes.
What use cases is the Healthcare Admissions dataset suited for?▾
The Healthcare Admissions dataset is suited for data quality, machine learning. Common applications include dirty data, mixed dates, null imputation.
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