How Claude and Gemini Turn Spreadsheets into Analytical Insights

A spreadsheet with thousands of rows can contain information that isn’t immediately obvious from a quick glance. Artificial intelligence tools like Claude and Gemini can accept files and process data based on natural language commands, enabling everything from initial analysis to generating charts and new documents. However, their capabilities differ and depend on the chosen plan and environment.

Claude Goes Beyond Traditional Spreadsheets

Claude can accept files and perform analyses on raw data, including data cleaning, statistical calculations, chart generation, and result interpretation. The tool can also create ready-made files, such as Excel spreadsheets, based on user instructions.

Some lesser-known features include:

• Clean a database: Users can submit disorganized data and request that it be standardized before analysis.
• Identify patterns: The AI can detect trends, relationships, and areas of interest within the data.
• Perform statistical analyses: Claude executes calculations and presents results with accompanying explanations.
• Generate charts: Raw data can be transformed into visualizations that help identify behaviors and differences between groups.
• Create a new spreadsheet: Based on a description, Claude can build files with formulas, multiple tabs, and structures for monitoring indicators.

There’s also a specific Excel option: Claude for Excel, currently in beta, allows users to read, analyze, modify, and create spreadsheets, as well as explain changes and identify cells used in the analysis. This feature is available as a preview for select plans.

Gemini Transforms Spreadsheets into Charts and Summaries

Google’s Gemini AI also accepts spreadsheets, documents, and other files to answer questions and extract information. In the web app, users can ask the tool to create a chart from submitted data and then customize elements like type and labels.

In practice, this enables users to perform tasks such as:

• Summarize a database: Instead of reviewing hundreds of rows, users can request a summary of key findings.
• Compare periods: Questions about differences between months, years, or groups can be asked directly about the spreadsheet.
• Detect trends: Gemini can help identify patterns in data and transform the analysis into a more easily understandable response.
• Create visualizations: Simply request a chart based on the submitted spreadsheet and then ask for adjustments to the format.
• Cross-reference different files: Gemini allows users to add multiple files in a single request, which can be useful for comparing related datasets.