Correlation Analysis: Drinks and Snoring

Introduction

In this analysis, we explore the correlation between the number of brown drinks consumed and snoring frequency. Using Python's pandas and matplotlib libraries, we visualize this relationship to test our hypothesis.

The Code

Here's the Python code used for the analysis:

import pandas as pd
from matplotlib import pyplot as plt

# Create the DataFrame
data = {'Brown Drinks with Coke': [1, 2, 3, 4, 5], 
        'Snores per Minute': [5, 10, 15, 20, 30]}
df = pd.DataFrame(data)

# Plot the data
df.plot(title='Correlation between Drinks and Snores For Colby',
        x='Brown Drinks with Coke',
        y='Snores per Minute',
        style='-',
        xlim=[0, 6],
        ylim=[0, 35],
        figsize=[5, 5],
        color='blue',
        xlabel='Number of Drinks',
        ylabel='Snores per Minute')

Analysis

The visualization shows a clear positive correlation between the number of brown drinks consumed and snoring frequency. As the number of drinks increases, there's a proportional increase in snores per minute.

Key Observations

• Linear relationship between variables
• Consistent increase in snoring with each additional drink
• Range: 5-30 snores per minute
• Drink consumption: 1-5 units

Conclusion

The data suggests a strong positive correlation between brown drink consumption and snoring frequency. This relationship appears to be linear, with each additional drink corresponding to an increase of approximately 5-7 snores per minute.