AI data analysis
Ask a question over a table, get a chart and a derived dataset.
Ask a natural-language question over a CSV, a synthesized table, or any table node in your workspace — JustJot.ai compiles it into a constrained, declarative aggregation spec (filter, group, sum, derive, pivot, sort) and runs it deterministically in JS, producing a derived table and a chart without touching an exec sandbox. Chain multiple transforms in one pipeline, or let the AI auto-fill a column row by row from a natural-language instruction.
Natural language to chart
Ask in plain English and get a derived table + chart back — no query language to write.
Deterministic execution
The spec is compiled and run in JS over your data, so results are reproducible and auditable.
Chain transforms
Run a pipeline of filter → derive → group → pivot → sort in one pass, producing a derived table that feeds the next analysis.
AI column autofill
Give a column an NL instruction and the agent fills it row by row using your library as context.
Frequently asked questions
Do I need to know SQL or Python to use data analysis?
No — you describe the analysis you want in plain English and JustJot.ai compiles it to a constrained aggregation spec it can run over your table. No query language required.
Is there a code execution sandbox involved?
No. Transforms run through a constrained, declarative spec engine executed in JS — deterministic, auditable, and no sandbox security surface.
Ask questions of your data — get charts, not just answers.
Free to start. Your audience, your sources, your work.
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