Data Cleaning
helio / spreadsheet-data-opsGive it a spreadsheet or a data source and the target. Your AI teammate cleans it, computes and pivots the result, then saves the whole process as a template that reruns itself when the source updates.
Clean this weekly orders spreadsheet: dedupe rows, fill blanks, standardize formatting, then compute revenue and margin by category into a pivot and a chart. Save the whole process as a template that reruns itself when the source file updates. Ask me what you need before you start.
Swap in your source file and what to compute from it.
What is Data Cleaning?
A teammate that cleans a messy spreadsheet or data source, computes and pivots it into a result, then saves the process as a template that reruns when the source updates. It spot-checks totals against the source and redacts defined sensitive fields before anything is exported.
What it does
Any chatbot cleans a spreadsheet once. Helio runs it as a standing job — from your context, kept current, delivered to you.
| Owns the job, not just the cleanup | It cleans, computes, and spot-checks the result, then owns the rerun, so a recurring report isn't redone by hand each week. |
| Runs again without starting over | The column mapping, calc rules, and chart config are saved as a template. The next same-shape file is a one-click rerun. |
| Works from your context | It reads the real source from local files, Google Drive, or a database, and writes the cleaned result back. |
| Keeps itself current | When the source file changes, the saved template reapplies on a schedule or on update, no re-trigger by hand. |
| Lands where you work | The refreshed table, chart, and check summary arrive in Slack, Lark, or email. You don't open Helio to pull them. |
Three things it gets right
Totals reconciled to the source
Key totals and ratios are sampled against the source before a result is called final, a defined step, not a hope.
Redacted, then rechecked
Defined sensitive fields are masked or removed before export, then a sampled recheck confirms nothing leaked through.
Cleaned before any math runs
Dedupe, gap-fill, and formatting standardize come first, so the calculation sits on a clean input, not a patched result.
What Data Cleaning connects to.
Questions
- Does it redo the whole process every time, or does it remember?
- Once a source's cleanup and calculation are set up, it saves the column mapping, calc rules, and chart config as a template — the next same-shape file is a one-click rerun, not a redo from scratch.
- How do I know the computed totals are actually correct?
- Key calculations — totals, ratios — are spot-checked against the source before a result is called final. It's a defined step, not a hope.
- Can it handle sensitive data without exposing it?
- Yes — define which fields must be masked or removed, and it applies that rule set before anything is exported, then samples the output to confirm nothing leaked through.
- What happens when the source file updates?
- If you've set it to rerun on update or on a schedule, the saved template reapplies automatically — you get the refreshed result without re-triggering it by hand.
Stop redoing the same spreadsheet every week.
Give Helio a source and a target once — it cleans, computes, and saves the process as a template that reruns itself.
Ask about this automation