Check the input
Review columns, units, missing values and duplicates before calculating.
Yasnora AI / Capabilities
YASNORA AI / YOUR WORK
Turn a table into a calculation you can check.
Explore supported datasets in a bounded Python environment. Inspect calculated results, tables and charts alongside the assumptions behind them.
FROM TASK TO RESULT
Practical capabilities
Explore the question
Compare periods or segments using explicit metric definitions.
Explain the result
Show the calculation and limitations rather than relying on an unsupported numerical answer.
STEP BY STEP
A clear working process
Start with a small example. Clarify requirements and review the result before using it.
- 01
Define the decision
State what the analysis needs to explain.
- 02
Prepare the dataset
Use permitted files and document their structure.
- 03
Run and verify
Compare calculations against a small control sample.
- 04
Present the findings
Include assumptions and a next verification step.
EXAMPLE WORKFLOW
An illustrative task
An illustrative example using fictional data. It demonstrates an approach, not a real customer result.
Revenue increased from 100 to 120. What changed?
Possible result structure
Calculate the 20% increase, then examine order count, average order value, refunds and costs. Revenue growth alone does not establish profit growth.
How should I start?
State what the analysis needs to explain.
What should I check before using the result?
Include assumptions and a next verification step.
What access and limits apply?
Analysis is Early Access and depends on supported formats, quotas and sandbox configuration. Review code and calculations before using results in decisions.
EXPLORE FURTHER
Related capabilities and reading
START WITH ONE TASK
Take your next step with Yasnora AI.
Guest chat needs no registration. Advanced capabilities depend on plan and configuration.