Protocol: Analysis Pipeline¶

pip install numpy pandas scipy matplotlib seaborn

conda activate lab-env

import numpy as np
import pandas as pd

# Load data
data = pd.read_csv('processed_data.csv')

# Verify
print(f"Data loaded: {data.shape}")

# Example analysis function
def perform_analysis(data):
    # [Add analysis code]
    results = {}
    # ... analysis steps ...
    return results

# Run analysis
results = perform_analysis(data)

import matplotlib.pyplot as plt
import seaborn as sns

def create_plots(results):
    # [Add plotting code]
    fig, ax = plt.subplots(figsize=(10, 6))
    # ... plotting steps ...
    plt.savefig('results.png', dpi=300, bbox_inches='tight')
    plt.close()

# Generate plots
create_plots(results)

# Perform statistical tests
from scipy import stats

# [Add statistical analysis code]