{
  "Urban": {
    "Reading": 22,
    "Traveling": 19,
    "Cooking": 15,
    "Gaming": 14,
    "Fitness": 12,
    "Music": 10,
    "Art and Craft": 8
  },
  "Rural": {
    "Gardening": 25,
    "Cooking": 20,
    "Fishing": 15,
    "Reading": 12,
    "Hiking": 10,
    "Fitness": 7,
    "Traveling": 6
  }
}
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from io import BytesIO
from PIL import Image

def generate_plot(data):
    # Prepare the DataFrame
    df = pd.DataFrame(data).reset_index().melt(id_vars='index')
    df.columns = ['Hobby', 'Area', 'Count']
    
    # Set the style
    sns.set_style("whitegrid")
    colors = sns.color_palette("Set2")
    
    # Create the plot
    plt.figure(figsize=(12, 8))
    area_plot = sns.lineplot(data=df, x='Hobby', y='Count', hue='Area', 
                             style='Area', markers=True, dashes=False, palette=colors)
    
    # Fill the area under the curve
    for area in data:
        sns.lineplot(data=df[df["Area"] == area], x="Hobby", y="Count", label=area, color=colors.pop(), alpha=0.25)
    
    plt.fill_between(df[df['Area'] == 'Urban']['Hobby'], df[df['Area'] == 'Urban']['Count'], alpha=0.3, color='blue')
    plt.fill_between(df[df['Area'] == 'Rural']['Hobby'], df[df['Area'] == 'Rural']['Count'], alpha=0.3, color='orange')

    # Customize the plot
    plt.title("Distribution of Hobbies Based on Urban vs. Rural Areas", fontsize=16, fontweight='bold')
    plt.xlabel("Hobbies", fontsize=14)
    plt.ylabel("Number of People", fontsize=14)
    plt.xticks(rotation=45)
    
    # Save to BytesIO
    buf = BytesIO()
    plt.savefig(buf, format='png')
    buf.seek(0)
    
    # Convert to PIL Image
    img = Image.open(buf)
    
    # Close the plot to release memory
    plt.close()

    return img
The figure titled "Distribution of Hobbies Based on Urban vs. Rural Areas" presents a comparison of the popularity of various hobbies between urban and rural populations. The horizontal axis represents different hobbies, including Reading, Traveling, Cooking, Gaming, Fitness, Music, Art and Craft for urban areas, and Gardening, Cooking, Fishing, Reading, Hiking, Fitness, Traveling for rural areas. The vertical axis displays the number of people engaged in each hobby.

The lines on the plot represent the distribution of hobby popularity in urban and rural areas, with distinct markers and colors for differentiation. Urban area data is depicted with a continuous blue line and filled under in light blue, while rural area data is shown with an orange line and filled under in light orange. 

In urban areas, Reading is the most popular hobby with 22 people engaged, followed closely by Traveling (19), Cooking (15), and Gaming (14). Fitness (12), Music (10), and Art and Craft (8) are less popular. Conversely, in rural areas, Gardening leads as the most favored hobby with 25 people, followed by Cooking (20) and Fishing (15). Reading is engaged by 12 people, with Hiking (10), Fitness (7), and Traveling (6) being less common.

The comparison reveals that Cooking and Reading are popular hobbies in both urban and rural areas. However, there are notable differences: urban residents prefer hobbies like Traveling, Gaming, and Music, whereas rural residents show a pronounced interest in Gardening and Fishing. The trends suggest lifestyle and environmental influences on hobby preferences, with urban areas tending towards indoor and technology-based hobbies, and rural areas favoring outdoor and nature-related activities.

Overall, this figure highlights the distinctive differences and few similarities in hobby distributions between urban and rural areas, emphasizing lifestyle choices shaped by the environment.
[
  {
    "question": "Which hobby is the most popular in urban areas?",
    "answer": "Reading",
    "explanation": "Reading has the highest count of 22 in urban areas, making it the most popular hobby."
  },
  {
    "question": "Which hobby is the most popular in rural areas?",
    "answer": "Gardening",
    "explanation": "Gardening has the highest count of 25 in rural areas, making it the most popular hobby."
  },
  {
    "question": "What hobby has the closest counts between urban and rural areas?",
    "answer": "Cooking",
    "explanation": "In urban areas, Cooking has a count of 15 and in rural areas it has a count of 20, showing the smallest difference among all hobbies."
  },
  {
    "question": "Which hobby is unique to rural areas but not observed in urban areas?",
    "answer": "Fishing",
    "explanation": "Fishing is listed in rural areas with a count of 15 but is not present in the list for urban areas."
  },
  {
    "question": "Which hobby has the second highest count in urban areas?",
    "answer": "Traveling",
    "explanation": "Traveling has a count of 19, which is the second highest after Reading in urban areas."
  },
  {
    "question": "How many people in rural areas enjoy Hiking?",
    "answer": "10",
    "explanation": "The count for Hiking in rural areas is 10."
  },
  {
    "question": "Is there any hobby less popular than Fitness in rural areas?",
    "answer": "Traveling",
    "explanation": "In rural areas, Traveling has a count of 6, which is lower than Fitness which has a count of 7."
  },
  {
    "question": "What trend can be observed about Music in both areas?",
    "answer": "Music is present only in urban areas with a count of 10.",
    "explanation": "The figure shows Music only in urban areas, indicating it might not be a popular hobby in rural areas."
  },
  {
    "question": "Which hobby has the smallest count in urban areas?",
    "answer": "Art and Craft",
    "explanation": "Art and Craft has the smallest count of 8 among the listed hobbies in urban areas."
  },
  {
    "question": "How does the popularity of Fitness compare between urban and rural areas?",
    "answer": "Fitness is more popular in urban areas with a count of 12 compared to 7 in rural areas.",
    "explanation": "Fitness has a count of 12 in urban areas and 7 in rural areas, showing it is more popular in urban settings."
  }
]