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import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

data = {
    'Teknologjia': ['Python', 'Java', 'Javascript', 'C#', 'Ruby'],
    'Market': ['USA', 'Europe', 'Asia', 'Afrike', 'Indi'],
    'Vende pune': [400, 300, 200, 350, 500]
}

df = pd.DataFrame(data)
scale_factor = 50
df['Bubble Size'] = df['Vende pune'] / scale_factor

plt.figure(figsize=(12, 8))
scatter = sns.scatterplot(
    data=df, x='Vende pune', y='Market', size='Bubble Size',
    sizes=(100, 1000), alpha=0.7, edgecolor='w'
)

for index, row in df.iterrows():
    plt.annotate(row['Teknologjia'],
                 xy=(row['Vende pune'], row['Market']),
                 xytext=(5, -8),
                 textcoords='offset points',
                 ha='center',
                 va='center',
                 fontsize=10,
                 color='black')

plt.title('Shperndarja e puneve sipas profileve teknologjike')
plt.xlabel('Nr i vendeve te punes sipas kontinenteve')
plt.ylabel('Market')
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()
plt.ylim(-0.5, len(df['Market']) - 0.5)
plt.legend(*scatter.legend_elements("sizes", num=5), title="Bubble Size")
plt.show()
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