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Agentic data notebooks

Astrae Intelligence

Python cell

import numpy as np

# Start from Q3 rows only

df_q3 = df[df["quarter"] == "Q3-2025"].copy()

# Repeat each row a few times to simulate multiple accounts per

# product/region/sector

REPEATS_PER_GROUP = 8 # tweak to control density

df_accounts = df_q3.loc[df_q3.index.repeat(REPEATS_PER_GROUP)].copy()

# Create a simple account id

df_accounts["account_id"] = (

df_accounts["product_line"].str.replace(" ", "_").str.lower()

+ "-"

+ df_accounts.groupby("product_line").cumcount().astype(str)

)

# Split product-line revenue into pseudo account-level revenue with some noise

base_revenue = df_accounts["revenue_usd"] / REPEATS_PER_GROUP

df_accounts["account_revenue_usd"] = base_revenue * np.random.uniform(0.6, 1.4, size=len(df_accounts))

# Synthetic QoQ growth percentage for the scatter's Y-axis

df_accounts["qoq_revenue_growth_pct"] = np.random.uniform(-10.0, 30.0, size=len(df_accounts))

df_accounts

Beautiful data apps

Revenue Overview

Conversational self-serve

Astrae product line performance (Q3)

Can you show me Lumina's Q3 sales by product line?

I'll help you analyze Lumina's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.

Thought for 23 seconds

Lumina revenue trends by product line

Here's what I found in the "lumina_sales" tables (powered by the Astrae Sales semantic model):

Cloud Infrastructure — $42.3M
Security Suite — $38.7M
Data Analytics — $33.1M

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Lumina revenue trends by product line

The AI analytics platform
for your whole team