Python Data Visualization

I recently explored activity rate trends for Open Vial Issue, Stock-In, RI Vaccines, and Syringe usage across districts using Python (pandas + matplotlib).

To enhance visibility and interpretation:
✅ Bar colors were coded based on performance thresholds
✅ Data labels were added for clarity
✅ Charts were customized for readability

Visualizing this data not only highlights underperforming areas (in red/yellow) but also makes it easier for stakeholders to identify where action is needed most.

📌 Tools used: Python, pandas, matplotlib
📂 Data Source: eVIN Export (UNDP project)

Excited to keep diving deeper into healthcare analytics and using data to drive smarter decisions! 💡

#DataVisualization #Python #HealthcareAnalytics #DataScience #UNDP #PublicHealth #Matplotlib #Pandas