Profile Spreadsheet
/ProfileSpreadsheetTry it in
When to reach for this
Getting from a raw dataset to a defensible conclusion.
- Cleaning and reshaping data before it goes anywhere
- Choosing a method and justifying the choice
- Turning numbers into a written finding someone will act on
- Area
- Profiling
- Effort
- No blanks to fill
- Difficulty
- medium
- Niche
- 6 commands here
Closest commands in the same niche
Fresh and trending
Ordered by the catalogue's own addedAt and popularity fields — not by live traffic, which SlashAI never sees. Some addedAt values in the source data sit in the future, so treat “newest” as newest-in-catalogue rather than as a verified publication date.
Hashtags
What it does
Profile distributions, nulls and outliers in a spreadsheet — e.g. budget-2025.xlsx — 6 tabs, formulas breaking on tab 3.
How to use
Say which columns matter most if the dataset is very wide. Bring a spreadsheet — for example budget-2025.xlsx — 6 tabs, formulas breaking on tab 3. You get back a column-by-column profile with distributions and flagged outliers.
Example
/ProfileSpreadsheet Input: budget-2025.xlsx — 6 tabs, formulas breaking on tab 3 Ask: Say which columns matter most if the dataset is very wide. Return: a column-by-column profile with distributions and flagged outliers
Run it in
Paste the command, then attach the file or text on the same message - it handles mixed input well.
How did this land?
Only you see this — stored on this devicePaste this command into your AI tool, then come back and say how it went. Your answer stays in this browser — SlashAI has no server and no account, so there is nothing to send it to and nobody who would read it.
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/ProfileTable
Profile distributions, nulls and outliers in a database table — e.g. public.users — 2.1M rows, nullable email column.
/ProfileLogs
Profile distributions, nulls and outliers in application logs — e.g. api-error.log — 90MB, spikes at 03:00 UTC daily.
/ProfileJson
Profile distributions, nulls and outliers in a JSON payload — e.g. webhook-payload.json — nested 4 levels deep, 12 event types.
/ProfileSurvey
Profile distributions, nulls and outliers in survey results — e.g. nps-survey-responses.csv — 512 responses, free-text comments.