agridatasets – Examples

This page provides practical examples of using agridatasets 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 agridatasets as agd

# Load the Bamboo growth observations across different geographic locations.
bamboo_growth_001 = agd.load_dataset("bamboo_growth")

# Display first few rows
print(bamboo_growth_001.head())

# Check dataset shape
print(f"\nDataset shape: {bamboo_growth_001.shape}")

# View column names
print(f"\nColumns: {list(bamboo_growth_001.columns)}")

# Get summary statistics
print("\nSummary statistics:")
print(bamboo_growth_001.describe())

# Check for missing values
print("\nMissing values:")
print(bamboo_growth_001.isnull().sum())

Example 2: Exploring Cow insemination and conception records across time intervals.

import agridatasets as agd

cows_insemination_001 = agd.load_dataset("cows_insemination")
print(cows_insemination_001.head())
print(f"\nDataset shape: {cows_insemination_001.shape}")
print(f"\nColumns: {list(cows_insemination_001.columns)}")

Example 3: Listing all available datasets

import agridatasets as agd

datasets = agd.list_datasets()
print(datasets)