From CSV to Insights in Seconds: How Data Analysts Use Jace to Crunch Numbers Directly in Their Inbox

If you're a data analyst, your inbox is probably full of requests like:

• "Can you take a quick look at this CSV?"
• "What's the trend in last quarter's numbers?"
• "Can you visualize this for my presentation tomorrow?"

Each request means context switching: downloading files, opening Jupyter, writing code, exporting charts, drafting a response. Rinse and repeat, dozens of times per week.

What if you could do all of that without ever leaving your inbox?

Meet Jace: Your AI-Powered Analyst Assistant

Jace is an AI email assistant that goes far beyond scheduling and drafts. With its built-in remote code execution capabilities, Jace can:

• Read and parse data attachments (CSV, Excel, JSON) directly from incoming emails
• Run Python analysis on a secure cloud environment
• Generate publication-ready visualizations (matplotlib, seaborn, plotly)
• Draft a response with your findings, code, and charts attached - ready to send

All in one seamless flow. No tab switching. No manual exports.

How It Works: A Real-World Example

Imagine your sales team sends you an email:

"Hey, attached is Q3 sales data. Can you show me which regions are underperforming and visualize the monthly trend?"

With Jace, you simply reply: "Jace, analyze the attached CSV - identify underperforming regions and create a monthly trend chart."

Jace will:

1. Extract the CSV from the email attachment
2. Load and clean the data using pandas
3. Calculate regional performance metrics
4. Generate a trend visualization with matplotlib
5. Draft a reply with:
   • A summary of insights ("EMEA is down 12% vs. target")
   • The visualization attached as a PNG
   • The working Python code, so your colleague can reproduce it

You review, hit send, and you're done - in under a minute.

Why Data Analysts Love This

Beyond speed, Jace helps with:

• Consistency: Every analysis follows your preferred style
• Documentation: Code is always included for reproducibility
• Accessibility: Non-technical stakeholders get clear summaries

Built for Real Analysts, Not Toy Demos

Jace's code execution runs on a secure, sandboxed environment. You get access to the full Python data stack:

• pandas for data manipulation
• numpy for numerical computing
• matplotlib & seaborn for static visualizations
• plotly for interactive charts
• scikit-learn for quick ML models

Need a custom library? Jace can install it on the fly.

Get Started Today

If you're a data analyst tired of the email-to-IDE shuffle, Jace is your new secret weapon. Crunch data, generate insights, and respond to stakeholders - all from your inbox.

Try Jace free for 14 days and see how much time you can save.