SlashAI

Data & Analytics / Profiling

Profile Spreadsheet

/ProfileSpreadsheet
Data & AnalyticsProfiling🟢 Beginnerdata

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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

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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.

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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.

Free tier
excelsheetsprofilingprofiledata

How did this land?

Only you see this — stored on this device

Paste 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.

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/ProfileLogs

Profile distributions, nulls and outliers in application logs — e.g. api-error.log — 90MB, spikes at 03:00 UTC daily.

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/ProfileJson

Profile distributions, nulls and outliers in a JSON payload — e.g. webhook-payload.json — nested 4 levels deep, 12 event types.

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/ProfileSurvey

Profile distributions, nulls and outliers in survey results — e.g. nps-survey-responses.csv — 512 responses, free-text comments.

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