Assignment #4: Visualizing and Interpreting Hospital Patient Data

Blood Pressure and Assessments

Based on the boxplots, the blood pressures seemed to vary quite a bit. In the first MD assessment, the patients marked "Good" had a wide range of values, with an outlier at 205. Those marked "Bad" seemed to cluster towards the lower or moderate values. The second MD assessment showed patients marked "Low" with blood pressures clustered in the lower range, but showed patients marked "High" with a wide range of values. The Final assessment seemed to properly correlate "High" with higher values and "Low" with lower values, suggesting the first assessment may have been less related to blood pressures and the second assessment moderately related.

Histogram Patterns

The histogram of visit frequency shows that most patients clustered around visit rates 0.2-0.6 with no extreme outliers. The histogram for blood pressure shows a much larger distribution, with most patients under 120, some outliers above 150, and the high case of 205. 

Clinical Implications and Limitations

The primary limitation of this dataset is its size. Having an n=9 after the missing data is removed means that the findings may not accurately reflect the population. While excluding the "NA" value did reduce the sample size, it allowed for a much cleaner analysis. Ultimately, the data can still reveal important patterns in patient care, but a real study would require the data to be retaken to have a more accurate analysis.

GitHub link: Assignment_04_Programming_Structure




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