SpyBara
Go Premium

use-cases/analyze-data-export.md 2026-07-08 02:01 UTC to 2026-07-14 17:03 UTC

42 added, 114 removed.

2026
Wed 15 19:58 Tue 14 17:03 Wed 8 02:01 Mon 6 22:58

name: Query tabular data tagline: Ask a question about a CSV, spreadsheet, export, or data folder. summary: Use ChatGPT with a CSV, spreadsheet, dashboard export, Google Sheet, or local data file to answer a question, create a browser visualization, and save the result. skills:

  • token: $spreadsheet description: Inspect tabular data, run calculations, and create charts or tables.

  • token: google-sheets url: /codex/plugins description: Analyze approved Google Sheets when the data lives in a shared spreadsheet. bestFor:

  • Questions that can be answered through a quick calculation, chart, table, or short summary.

  • Roles that need to analyze data and create visualizations. starterPrompt: title: Ask a Question body: |- Analyze @sales-export.csv

    Question: Which customer segment changed the most last quarter?

    Please:

    • inspect the columns before analyzing
    • answer the question from the data
    • create a simple browser visualization as an HTML file
    • start a local preview so I can open it in the built-in browser suggestedEffort: low relatedLinks:

  • label: File inputs url: /api/docs/guides/file-inputs

  • label: Agent skills url: /codex/build-skills

Analyze the data

Use ChatGPT when you have a CSV, spreadsheet, dashboard export, Google Sheet, or local data file and want to answer a question from it. Start with the file and the question. ChatGPT can inspect the columns, run the analysis, and create a browser visualization you can open in the ChatGPT desktop app.

  1. Attach the file or mention the connected data source.
  2. Ask the question you want answered.
  3. Have ChatGPT inspect the columns, run the calculation, and create an HTML visualization.
  4. Open the local preview in the built-in browser, then continue in the same task to adjust the chart or slice the data another way.

Use @ to attach the CSV or mention the Google Sheet. If the data came from a dashboard, export the rows first so ChatGPT can inspect the raw columns.

Follow-up analysis

After ChatGPT gives you the first answer, ask for the next comparison you would normally check.

You can keep going in the same task: clean a column, exclude a test segment, compare two time windows, make the chart easier to read, or turn the result into a short note for a meeting.