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How to chat with your spreadsheet

Ask questions about your data in plain English — and change the dashboard just by asking. No formulas, no query language.

You shouldn't need to know SQL or write =SUMIFS() to get an answer out of your own data. With FlowData you upload a CSV or Excel file, then simply chat with it: ask a question and get an exact answer, or tell it to reshape the dashboard. The analyst is grounded in real numbers computed from your full file, so it counts and totals precisely instead of guessing.

What you can ask

“How many customers are from Chile?”
“What's the average order value by month?”
“Which product had the highest revenue in Q3?”
“Add a bar chart of sales by country.”
“Turn revenue into a line chart and add a profit‑margin KPI.”

Counting, totals, breakdowns, comparisons and “explain this chart” all work — and any request that changes the dashboard updates it in place.

Why the answers are accurate

Large language models are great at language but unreliable at arithmetic over a big table. FlowData avoids that trap: it computes the exact value counts, sums and breakdowns from your whole dataset locally, then hands those facts to the analyst to phrase the answer. So when you ask “how many rows are from Chile?”, the number comes from your data — not the model's imagination.

Chat that edits the dashboard

Chat isn't just Q&A. Ask for a change and the board updates:

Frequently asked questions

Do I need to know SQL or formulas?

No. Ask in plain English. FlowData translates your question into the right computation over your data and answers with real figures.

Is my data kept private?

Yes. Every dataset and dashboard is isolated to your account, secrets stay server‑side, and FlowData flags sensitive (PII) columns so you know what's in your file.

Can other people chat with a dashboard I share?

Shared links are read‑only — recipients can view the dashboard but can't see your raw file or chat with your data. Chatting stays with you, the owner.

See also: How to turn an Excel spreadsheet into a dashboard →