Logo Lanfrica

onyi-data/pharmacy_sales_dashboard

Domaine:

healthcare

Type de record:

dataset
Créateur:
ony
Hôte:
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. --- ## 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**? --- ## 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. --- ## Tools Used * **MySQL** — Data storage and querying * **Power BI Desktop** — Data visualization and dashboard development --- ## 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 …

Licenses