import seaborn as sns
import matplotlib.pyplot as plt
def plot_car_crashes_correlation():
crashes_data = sns.load_dataset('car_crashes')
correlation = crashes_data.corr()
mask = correlation > 0.8
sns.heatmap(correlation, annot=True, mask=~mask, cmap="coolwarm")
plt.title('Correlation Matrix of Car Crashes')
plt.show()
plot_car_crashes_correlation()