Opendatabay APP

MedEasy Drug Price and Detail Inventory

Data Science and Analytics

Tags and Keywords

Health

Pricing

Medicine

Bangladesh

Pharmacy

Trusted By
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MedEasy Drug Price and Detail Inventory Dataset on Opendatabay data marketplace

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Free

About

Data details pharmaceutical products and pricing information from MedEasy, the leading online pharmacy and healthcare platform operating in Bangladesh. It covers 20,000 distinct medicine entries, providing valuable insight into the platform's structure and operations. MedEasy aims to deliver accessible and affordable healthcare services to the population, offering services such as medicine delivery, doctor consultations, and lab tests. The description highlights mechanisms for affordability, including discounts on generic drugs and price matching for brand-name drugs, alongside adherence to quality assurance standards for all items sold.

Columns

The dataset is organised into nine key columns:
  • medicine_name: The specific trade name of the medication available on the platform.
  • category_name: The classification or type of medicine, such as Tablet or Capsule.
  • slug: A unique identifier code associated with each specific medicine entry.
  • generic_name: The chemical name of the active pharmaceutical ingredient (API).
  • strength: The dosage of the medicine, indicating the concentration of the active ingredient.
  • manufacturer_name: The pharmaceutical company responsible for producing the medicine.
  • unit: The unit of measurement for the medicine's quantity (e.g., piece, 10's Strip).
  • unit_size: The physical quantity or size of a single unit of the medicine.
  • price: The cost of the medicine listed in the local currency.

Distribution

The resource is delivered as a tabular dataset containing 20,000 records across 9 columns. The primary file is named all_medicine_and_drug_price_data(20k)_Bangladesh.csv and has a size of approximately 2.32 MB. The data is typically expected in CSV format. While most fields are fully populated, the strength column contains missing values for around 5% of the entries (918 missing values).

Usage

This resource is an ideal tool for research and analysis focused on healthcare market dynamics. Ideal applications include:
  • Studying the evolution and impact of online healthcare platforms in developing nations like Bangladesh.
  • Analysing pricing structures and mechanisms for cost savings compared to traditional pharmacy models.
  • Evaluating the variety of medications offered, including non-prescription drugs and herbal remedies.
  • Data visualization projects tracking medication availability and category breakdown.
  • Reviewing the platform's services, such as medicine delivery, doctor consultations, and lab test provision.

Coverage

The data is geographically focused exclusively on Bangladesh. It captures information regarding all medication details and associated pricing available on the MedEasy platform at the point of collection. The expected update frequency for this resource is stated as "Never."

License

CC0: Public Domain

Who Can Use It

The dataset serves as a valuable resource for several groups, including:
  • Market Researchers: To study the growth, features, and pricing strategies of large online pharmacy platforms.
  • Public Health Experts: To assess the affordability and accessibility of essential medications within the region.
  • Data Analysts and Scientists: For projects requiring granular data analysis and modelling related to pharmaceutical product listings and inventory.
  • Academics and Students: For scholarly research into healthcare technology adoption and service delivery in South Asia.

Dataset Name Suggestions

  • Bangladesh Online Pharmacy Pricing Data (20k Records)
  • MedEasy Drug Price and Product Inventory
  • Bangladesh Pharmaceutical Product Listing
  • Medication Data from Bangladesh's Leading Online Health Platform

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

1

LISTED

07/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format