Bar_Chart

 In point of fact, yesterday's exercise with the costs of utility figure was not the

required output. in reality, the cost increase is an annual event, on the anniversary date. 

So a bar graph is required. Below, one generated by Copilot:

                                                                      

The python code:

# Creating bar graph of annual utility cost with 3% yearly increase

import matplotlib.pyplot as plt

# Data
years = list(range(1, 11))
costs = [103.00, 106.09, 109.27, 112.55, 115.93, 119.41, 123.00, 126.69, 130.49, 134.39]

# Create bar chart
plt.style.use('seaborn-v0_8')
fig, ax = plt.subplots(figsize=(10, 6))
bars = ax.bar(years, costs, color='skyblue')

# Add labels on top of each bar
for bar, cost in zip(bars, costs):
    height = bar.get_height()
    ax.text(bar.get_x() + bar.get_width()/2, height + 1, f"${cost:.2f}", ha='center', va='bottom', fontsize=9)

# Customize chart
ax.set_title('Annual Utility Cost with 3% Yearly Increase', fontsize=14)
ax.set_xlabel('Year', fontsize=12)
ax.set_ylabel('Cost ($)', fontsize=12)
ax.set_xticks(years)
ax.set_ylim(0, max(costs) + 10)
plt.tight_layout()

# Save figure
output_path = "/mnt/data/annual_utility_cost_bar_chart.png"
plt.savefig(output_path)
plt.show()

print("Bar chart of annual utility costs saved as annual_utility_cost_bar_chart.png")

I also had a try at producing a bar chart from Geogebra: