edfEazyDataFix

Hospital Dataset

Profile a synthetic hospital admissions dataset with mixed values and nulls.

Overview

A compact synthetic hospital admissions extract. Combine profile() and assess() to understand its structure and quality before choosing a cleaning strategy.

Dataset

hospital.csv15 rows × 8 columns
patient_idagegenderadmission_datediagnosislength_of_stayinsurancereadmitted

Synthetic teaching data; it contains no real patient information.

Download dataset

Python code

hospital.py
import eazydatafix as edf

profile = edf.profile("hospital.csv")
report = edf.assess("hospital.csv")

print(profile.rows, profile.columns)
print(f"Quality score: {report.quality.score:.2f}")
print(
    "Missing values:",
    report.completeness.total_missing_values,
)

Expected output

Python 3.11
>>> profile = edf.profile("hospital.csv")
15 8
Quality score: 89.89
Missing values: 3
CSV Cleaning
Load a messy CSV, assess quality and export a cleaned copy.
Excel Cleaning
Clean missing values, whitespace and duplicate rows from an .xlsx workbook.
HR Dataset
Trim inconsistent text spacing and remove duplicate employee records.