Overview:
The Dr. Semmelweis Analysis explores how mortality rates changed after implementing a hand-washing policy in a hospital setting. The analysis highlights the significant drop in death rates after the policy’s introduction, showing the effectiveness of improved hygiene practices.
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Key Features:
1. Data Processing with Pandas:
The analysis starts by reading a CSV file using pandas, ensuring efficient data handling, particularly for before-and-after mortality comparisons.
2. Data Cleaning:
The dataset is cleaned to remove inconsistencies, ensuring the accuracy of results when comparing mortality rates before and after the implementation of the hand-washing policy.
3. Mortality Rate Comparison:
The analysis compares mortality rates, showing a significant reduction from 10.5% before the hand-washing policy to 2.1% after.
4. T-test for Statistical Significance:
A t-test is conducted to confirm the difference in mortality rates is statistically significant, with a p-value of 0.0000002985, proving that the change is not due to random chance.
5. Visualization with Matplotlib:
Graphs are created using matplotlib to visually represent the drop in mortality rates, providing clear insights into the impact of hand-washing.
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