Untitled

import matplotlib.pyplot as plt

# Data for charts
age_groups = ['13-14', '15-16', '17-18']
respondents = [40, 35, 25]

peer_pressure_types = ['Academic Pressure', 'Substance Abuse', 'Social Media Influence', 'Bullying or Teasing', 'Fashion Pressure']
peer_pressure_percentage = [30, 25, 20, 15, 10]

areas_of_impact = ['Academic Performance', 'Social Relationships', 'Mental Health']
low_impact = [20, 15, 25]
medium_impact = [50, 40, 35]
high_impact = [30, 45, 40]

# Create subplots
fig, ax = plt.subplots(1, 3, figsize=(15, 5))

# Bar chart: Age Distribution
ax[0].bar(age_groups, respondents, color='skyblue')
ax[0].set_title('Age Distribution of Respondents')
ax[0].set_xlabel('Age Group')
ax[0].set_ylabel('Number of Respondents')

# Pie chart: Types of Peer Pressure
ax[1].pie(peer_pressure_percentage, labels=peer_pressure_types, autopct='%1.1f%%', colors=['lightcoral', 'lightgreen', 'lightblue', 'orange', 'purple'])
ax[1].set_title('Types of Peer Pressure Experienced')

# Stacked bar chart: Impact of Peer Pressure
bar1 = ax[2].bar(areas_of_impact, low_impact, color='lightblue', label='Low Impact')
bar2 = ax[2].bar(areas_of_impact, medium_impact, bottom=low_impact, color='lightgreen', label='Medium Impact')
bar3 = ax[2].bar(areas_of_impact, high_impact, bottom=[i+j for i,j in zip(low_impact, medium_impact)], color='salmon', label='High Impact')
ax[2].set_title('Impact of Peer Pressure on Teenagers')
ax[2].set_ylabel('Number of Respondents')
ax[2].legend()

# Show plots
plt.tight_layout()
plt.show()