Examining y, tc, and cdl
Now, you'll focus on tc, hdl, and y, to understand the relationship between a few independent variables and the dependent one, disease progression. The diabetes dataset has been loaded as the DataFrame dia.
Later in the course, you'll use a simulation to measure the impact of predictors on responses, so having an initial understanding of relationships between variables will help you understand your simulation results later on!
The following libraries have been imported for you: pandas as pd, numpy as np, matplotlib.pyplot as plt, and seaborn as sns.
Diese Übung ist Teil des Kurses
Monte Carlo Simulations in Python
Anleitung zur Übung
- Use
.pairplot()to visually examinetc,hdl, andyindia. - Measure the correlation coefficients between
tc,hdl, andyindia.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Create a pairplot of tc, hdl, and y
____
plt.show()
# Calculate correlation coefficients
print(____)