Datasets
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Smoking tobacco prices and taxes in India
This study aimed to examine, using graphical methods, trends in smoking tobacco taxes and prices in India at national and state-level. -
Gold Price Dynamics & Market Behavior
This dataset contain daily gold price data from 2016 to 2026. It includes important detals like opening price, closing price, highest price, lowest price, and trading volume.It... -
Coffee Sales Dataset
This dataset contains detailed reports of coffee sales transactions. It includes information such as the type of coffee sold, payment method, sale amount, and the exact time and... -
Ecommerce Sales & Profit Trends (2022–2024)
📊 Data Overview Executive Dataset Overview Commerce Data Architecture Dataset Scope & Structure ⏱ Temporal Analysis Time-Series Sales Dynamics Order Lifecycle & Temporal... -
Urban Mobility Trips [Challenge (Hard)]
This dataset is designed for advanced learners who want to work with truly messy real-world data. The data is sourced from the Chicago Data Portal, representing real urban... -
Global Literacy Rate / Country 2026
This project provides a comprehensive analysis of global literacy rates for 2026, segmented by geographical regions. The dataset covers 184 countries and territories across 9... -
Campus Placement Prediction
Description 100,000 synthetic student profiles for predicting campus placement outcomes. Features 26 columns covering academics (SSC/HSC/Degree scores), skills (technical, soft,... -
Online Learning Behavior Dataset
The Online Learning Behavior Dataset (Worldwide) is a synthetic dataset designed to represent global online education trends and student engagement patterns across multiple... -
Top 50 Universities in the U.S. (Forbes 2026)
Choosing a university is a multi-million dollar decision. This dataset provides a granular look at the Top 50 Universities in the United States according to the 2026 Forbes... -
CS Students Performance Dataset
This dataset contains structured information about Computer Science students, including their personal details, academic performance, technical skills, project experience, and... -
Vitamin Deficiency Disease Prediction Dataset
This comprehensive dataset contains 4,000 patient records designed for predicting vitamin and mineral deficiency diseases. It combines demographic information, lifestyle... -
NeuroBehavior-Clinical Health Risk Sample Dataset
This dataset contains simulated health, lifestyle, behavioral, and clinical biomarker indicators designed for research and educational purposes. It can be used to explore... -
Neurofibrosis_data
Neurofibromatosis Type 1; Clinical Symptoms of Familial and Sporadic Cases A national NF1 database with 331 probands with tumors (167 sporadic and 142 familial cases) was... -
Global Mental Health & Lifestyle Survey Dataset
This dataset is a large-scale synthetic mental health survey dataset designed for machine learning, data analysis, and research purposes. It captures how demographics, work... -
Daily Gym Attendance and Workout Activity Dataset
This dataset contains daily records of gym member attendance along with details of their workout activities. It includes information such as visit dates, types of exercises... -
Heart Attack risk Dataset
This dataset simulates cardiovascular health checkup records for patients and is designed for machine learning models that predict heart disease risk. -
Human Gut Microbiome Atlas (HMP2)
This dataset is a curated, Machine Learning-ready version of the Integrative Human Microbiome Project (iHMP), specifically the Inflammatory Bowel Disease Multi-omics Database... -
Microplastics: Food to Human Bloodstream
This dataset documents the presence of microplastics (MPs) across the human exposure pathway — from contaminated food and water sources to human blood, organs, tissues, and... -
Rare Diseases - Orphadata 2026
This comprehensive dataset contains 11,456 rare diseases with detailed medical, genetic, and epidemiological information from Orphadata (February 2026). It's designed for... -
Medical Insurance Premium Prediction
A Medical Insurance Company Has Released Data For Almost 1000 Customers. Create A Model That Predicts The Yearly Medical Cover Cost. The Data Is Voluntarily Given By Customers.