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Analyze this dataset and generate a visualization code using Python.
AurixAI (GPT-4o)
0.4s
Based on the schema provided, here represents the distribution analysis script using pandas and matplotlib.
import pandas as pd
import matplotlib.pyplot as plt
# Load dataset
df = pd.read_csv('data.csv')
plt.figure(figsize=(10, 6))
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Marcus Chen

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Node Verified: 2026
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Marcus Chen

Full Stack Developer

"I was skeptical about another AI wrapper, but Aurix feels different. The UI is incredibly polished, and the response times are lightning fast. It feels like a true professional tool rather than just a demo."

Node Verified: 2026
M

Marcus Chen

Full Stack Developer

"I was skeptical about another AI wrapper, but Aurix feels different. The UI is incredibly polished, and the response times are lightning fast. It feels like a true professional tool rather than just a demo."

Node Verified: 2026
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Sarah

CTO

"The admin controls give me the peace of mind I need when rolling this out to my small team. We can experiment with new models without worrying about breaking our core configurations. Highly recommended!"

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Sarah

CTO

"The admin controls give me the peace of mind I need when rolling this out to my small team. We can experiment with new models without worrying about breaking our core configurations. Highly recommended!"

Node Verified: 2026
S

Sarah

CTO

"The admin controls give me the peace of mind I need when rolling this out to my small team. We can experiment with new models without worrying about breaking our core configurations. Highly recommended!"

Node Verified: 2026

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