# Build a Climate Data Visualizer
# Use Statistics Canada temperature data
import matplotlib.pyplot as plt
years = [2000, 2005, 2010, 2015, 2020, 2025]
temp_anom = [0.6, 0.8, 0.9, 1.1, 1.3, 1.5]
plt.plot(years, temp_anom, marker='o')
plt.title("Canada Temperature Anomaly (°C)")
plt.xlabel("Year")
plt.ylabel("Anomaly vs 1961–1990 avg")
plt.show()