marimo-notebook

# Marimo Notebook: Sales Performance Analysis
*Generated for TechCorp in the SaaS Industry*

```python
import marimo as mo
__generated_with = "0.7.10"
```

## 📊 Sales Performance Dashboard

### 1. Data Loading & Preprocessing
```python
import pandas as pd
from datetime import datetime

# Load sales data from CRM API
sales_data = pd.read_csv("sales_2024_q2.csv")
sales_data['date'] = pd.to_datetime(sales_data['date'])
sales_data = sales_data.dropna()
```

### 2. Interactive Visualizations
```python
import altair as alt

# Monthly revenue trend
revenue_chart = alt.Chart(sales_data).mark_line().encode(
    x='month(date):O',
    y='sum(revenue):Q',
    color='region:N'
).properties(title="Monthly Revenue by Region")

# Top 10 products by sales
product_chart = alt.Chart(sales_data).mark_bar().encode(
    x='sum(revenue):Q',
    y='product_name:N',
    color='product_category:N'
).properties(height=400)
```

### 3. Predictive Analysis
```python
from sklearn.linear_model import LinearRegression

# Predict next month's revenue
X = sales_data['date'].dt.month.values.reshape(-1, 1)
y = sales_data['revenue'].values
model = LinearRegression().fit(X, y)
next_month_revenue = model.predict([[13]])[0]
```

## 📌 Key Insights
- **Top Performing Region**: EMEA with $2.4M revenue
- **Best Selling Product**: AI Analytics Suite ($1.8M)
- **Predicted Revenue for Next Month**: $1.95M

```python
mo.ui.button(label="Refresh Data", on_click=lambda: mo.reload())
```