---

name: eda-basic description: Basic exploratory data analysis for pandas DataFrames version: "1.0.0" author: DSAgent Team tags:

• eda
• analysis
• pandas compatibility: python:
  • pandas>=2.0
  • matplotlib>=3.7

---

EDA Basic Skill

This skill provides basic exploratory data analysis capabilities for pandas DataFrames.

Usage Instructions

When the user asks for basic data analysis or EDA, use this skill's scripts.

Available Scripts

1. basic_stats.py - Generate basic statistics

Required variables:

• df: The pandas DataFrame to analyze

Example usage:

# Make sure 'df' is defined with your DataFrame
exec(open('~/.dsagent/skills/eda-basic/scripts/basic_stats.py').read())

This script will output:

• Shape of the DataFrame
• Data types
• Missing value counts
• Basic statistics (describe)

2. plot_distributions.py - Plot column distributions

Required variables:

• df: The pandas DataFrame to analyze
• columns (optional): List of columns to plot. If not set, plots all numeric columns.

Example usage:

# Define df and optionally columns
df = your_dataframe
columns = ['price', 'quantity']  # Optional
exec(open('~/.dsagent/skills/eda-basic/scripts/plot_distributions.py').read())

When to Use This Skill

Use this skill when:

• User asks for "basic analysis" or "EDA"
• User wants to understand the structure of their data
• User asks for statistics or distributions