How does a natural-language chart builder work?

You type a question in plain English, such as ‘which products sell the most?’. Dotwave reads your column names and a curated semantic model, chooses the most suitable chart type, aggregates the full dataset on the server, and returns an interactive chart you can add to a dashboard.

Can I build charts without knowing SQL or Excel formulas?

Yes. Dotwave is a no-code data cleaning tool. You never write SQL, DAX or spreadsheet formulas — you ask questions in everyday language and the AI chart builder does the querying and charting for you.

Ask your data

Ask your data. Get the right chart.

Once your data is clean, the next question is: what does it actually show? Type a question in plain English — Dotwave finds the right chart, grounded on your real columns.

Real analyst problem

Your client wants to see which product category drove the most returns last quarter. You know the answer is in the data — but which columns, which filters, which chart type? Dotwave figures that out from a plain-English question.

How it works

Clean your data in the pipeline first.
Open your dashboard.
Type your question: “Show me revenue by region for Q1” or “Which sales rep had the most returns last month?”
Dotwave generates the chart spec grounded on your actual column names — no hallucinated fields.
Adjust or accept. The chart is live.

What makes it different from ChatGPT

ChatGPT generates code that may reference columns that don’t exist. Dotwave’s NL chart is grounded on your real column names and semantic model — it can only build charts from data that’s actually there.

When to use it

After cleaning. Ask-your-data is for exploration and delivery — not a substitute for the cleaning pipeline. Clean your data first, then ask questions.

Ask your data. Get the right chart.

How it works

What makes it different from ChatGPT

When to use it

Ready to clean your data?