Primary Care Appointment Analytics
Category: Health License: cc-by-nc-2.0 Downloads: 923 Rows: 2244 CSV
Dataset card Data preview Source License Citation

Dataset Card

Dataset Description

Primary Care Appointment Analytics contains structured health-related records designed for research, analytics, dashboard development, and machine learning experiments. The dataset includes realistic patient, clinical, administrative, and observational variables with category-specific value distributions and no repeated column pattern.

Dataset Summary

This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.

Dataset Structure

The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.

Data Preview

record_id region age_group service_type clinical_score risk_level outcome_status reporting_month
1 Glasgow 75+ Consultation 2.02 High Follow-up Required 2023-05
2 Manchester 18-29 Consultation 13.65 Medium Follow-up Required 2024-05
3 Manchester 75+ Screening 40.76 High Ongoing 2019-12
4 London 30-44 Consultation 9.07 Critical Referred 2023-09
5 Leeds 30-44 Emergency 11.93 High Follow-up Required 2025-09
6 London 45-59 Emergency 35.28 Low Discharged 2020-05
7 Cardiff 30-44 Treatment 35.25 Low Follow-up Required 2022-10
8 London 75+ Screening 64.06 Low Ongoing 2019-09
9 Glasgow 18-29 Emergency 0.98 Medium Recovered 2020-08
10 Bristol 75+ Treatment 71.63 Critical Discharged 2020-03

License

cc-by-nc-2.0

Citation

Primary Care Appointment Analytics. Health Research Data Repository, Version 1.7, 2018.