tool

AI CSV Analyzer

Ryna AI reads the CSV or Excel file you upload, identifies column types, computes summary stats, flags missing data, and suggests Excel or Sheets formulas for your questions.

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Example prompts

Copy any prompt below and paste into chat.rynaai.com. Each prompt is tuned for a different scenario — try them all to see how Ryna AI adapts.

>In the attached sales CSV, what is the monthly revenue trend, the top 3 products, and the year-over-year change percentages?
>In this customer list, find duplicate email addresses, list rows with missing phone numbers, and give a histogram summary of the age distribution.

How it works — step by step

  1. 1

    Upload the CSV or Excel file to Ryna AI and describe the columns in one sentence (for example: 'date ISO, revenue USD').

    Upload the CSV or Excel file to Ryna AI and describe the columns in one sentence (for example: 'date ISO, revenue USD').

  2. 2

    Ask questions in business language: 'most profitable category,' 'is there seasonality,' 'any outliers.'

    Ask questions in business language: 'most profitable category,' 'is there seasonality,' 'any outliers.'

  3. 3

    If Ryna suggests formulas (VLOOKUP, SUMIFS, pivot), run them in your own file; ask Ryna to verify against 3 sample rows.

    If Ryna suggests formulas (VLOOKUP, SUMIFS, pivot), run them in your own file; ask Ryna to verify against 3 sample rows.

Who this is for

Marketing analysts, small business owners, accounting teams, and students learning data analysis.

FAQ

Can it handle very large CSV files?

Very large files slow down the workflow. The practical fix is to filter to relevant columns or a date range and upload a smaller CSV.

Related use cases

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