Dark Mode
11000 Pharmaceutical Products Dataset
Public Health & Epidemiology
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides detailed information about over 11,000 pharmaceutical products sourced from 1mg, a popular online pharmacy and healthcare platform. It includes a wide range of information about each product, including their categories, ingredients, uses, and potential side effects. The dataset is significant for those working in healthcare, medicine, and data science, as it enables in-depth analysis of pharmaceutical products, supports the development of healthcare-related models, and facilitates insights into drug characteristics and their interactions.
Dataset Features
The dataset consists of several key features related to pharmaceutical products:
- Medicine Name: The name of the medicine or healthcare product.
- Category: The category or type of the medicine (e.g., antibiotics, pain relief, etc.).
- Manufacturer: The company that produces the medicine.
- Price: The listed price of the product on the platform.
- Ingredients: Active and inactive ingredients in the product.
- Dosage: Recommended dosage or instructions on how to use the medicine.
- Formulation Type: The form in which the product is available (e.g., tablet, syrup, injection).
- Side Effects: Possible side effects or adverse reactions when using the product.
- Uses: The conditions or diseases the product is used to treat.
- Precautions: Warnings or instructions for safe usage.
- Availability: Availability of the product for purchase on the platform.
Distribution
- Data Volume: The dataset contains over 11,000 pharmaceutical product records.
- Columns: 11 columns, including detailed information about each medicine, such as name, category, manufacturer, price, and more.
- Data Format: CSV file format, structured for easy data processing and analysis.
Usage
This dataset is ideal for a variety of applications:
- Pharmaceutical Research: Analyzing the composition and usage of various drugs, including active ingredients and side effects.
- Price Prediction Models: Building models to predict the pricing of pharmaceutical products.
- Medicine Classification: Classifying medicines based on their category, ingredients, or side effects for better categorization and understanding.
- Drug Effectiveness and Interaction Studies: Investigating how different medicines interact with one another and their effectiveness for certain conditions.
Coverage
- Geographic Coverage: Primarily sourced from India, as the data is scraped from 1mg, which primarily serves the Indian market.
- Time Range: The dataset represents current data collected over time from 1mg, although specific time frames of collection are not explicitly mentioned.
- Demographics: The dataset covers products used by a wide range of demographics, as it includes both general and specialized medications.
License
- License: CC0 (Public Domain Dedication)
Who Can Use It
The dataset is beneficial for a wide array of users:
- Data Scientists: For training machine learning models related to pharmaceutical data, including drug classification, pricing prediction, and side effect detection.
- Researchers: Useful for academic research in the field of healthcare, medicine, and drug effectiveness.
- Businesses: Pharmaceutical companies, healthcare providers, and data-driven businesses can use this dataset for analyzing market trends, pricing strategies, and product effectiveness.
QUALITY