In Python data visualization, how do I monitor health?

Monitoring health in Python data visualization involves tracking various metrics and visualizing them effectively. This can be done using libraries such as Matplotlib, Seaborn, and Plotly to create visual representations of metrics that reflect health statistics.

# Example code for monitoring health metrics using Matplotlib
import matplotlib.pyplot as plt

# Sample data
months = ['January', 'February', 'March', 'April', 'May']
steps = [3000, 4200, 5000, 7000, 6000]

# Creating the plot
plt.plot(months, steps, marker='o')

# Adding title and labels
plt.title('Monthly Steps Count')
plt.xlabel('Months')
plt.ylabel('Number of Steps')

# Display the plot
plt.show()