Power BI dashboard analyzing pharmacy sales data in Nigeria, including revenue trends, drug categories, payment methods, and customer demographics.
# Pharmacy Sales Dashboard — Nigeria
## Overview
This project presents a **Power BI dashboard analyzing pharmacy sales data in Nigeria**.
The dashboard provides insights into **revenue performance, drug sales trends, payment methods, and customer demographics** to help pharmacy managers make **data-driven decisions** about inventory and operations.
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## Business Questions
This analysis answers key business questions such as:
* Which drugs generate the **highest revenue**?
* What **drug categories** sell the most?
* How many **units of drugs** are sold in total?
* What are the **most common payment methods** used by customers?
* How do **patient age groups and genders** contribute to drug purchases?
* What drugs have the **earliest expiry dates** and require monitoring?
* What proportion of sales come from **prescription vs non-prescription drugs**?
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## Dataset
The dataset contains **pharmacy sales transactions in Nigeria**.
**Number of records:** 170
### Columns included
* transaction_id
* date
* drug_name
* drug_category
* brand_generic
* quantity_sold
* unit_price_naira
* total_revenue_naira
* supplier
* expiry_date
* stock_before
* stock_after
* patient_age_group
* patient_gender
* prescription_required
* payment_method
* pharmacist_on_duty
* branch_location
* days_to_expiry
* reorder_level_met
> All patient information is anonymized.
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## Tools Used
* **MySQL** — Data storage and querying
* **Power BI Desktop** — Data visualization and dashboard development
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## Dashboard Features
### Key Performance Indicators (KPIs)
* **Total Revenue**
* **Total Units Sold**
### Sales Performance
* **Top 10 Drugs by Revenue**
* **Revenue by Drug Category**
### Customer & Operational Insights
* **Revenue by Payment Method**
* **Drug Purchases by Patient Gender**
* **Drug Purchases by Age Group**
* Children
* Adult
* Aged
* **Prescription vs Non-Prescription Revenue**
### Inventory Monitoring
* **Drug Expiry Monitoring Table**
The dataset cur …