meddatasets – Examples

This page provides practical examples of using meddatasets for data analysis and exploration.

Basic Examples

Example 1: Loading and Exploring a Dataset

Learn how to load a dataset and perform basic exploration.

import meddatasets as md

# Load the polio cases and deaths in the United States from 1910-2019.
polio_cases = md.load_dataset("us_polio_cases")

# Display first few rows
print(polio_cases.head())

# Check dataset shape
print(f"\nDataset shape: {polio_cases.shape}")

# View column names
print(f"\nColumns: {list(polio_cases.columns)}")

# Get summary statistics
print("\nSummary statistics:")
print(polio_cases.describe())

# Check for missing values
print("\nMissing values:")
print(polio_cases.isnull().sum())

Example 2: Exploring a Sleep Health Dataset

import meddatasets as md

# Load Sleep and lifestyle dataset
sleep_lifestyle = md.load_dataset("sleep_health")

# Display first few rows
print(sleep_lifestyle.head())

# Check dataset shape
print(f"\nDataset shape: {sleep_lifestyle.shape}")

# View column names
print(f"\nColumns: {list(sleep_lifestyle.columns)}")