For most spreadsheet analysis, start with a pivot table to summarize categories, use formulas such as QUERY to filter or calculate, and add a chart when you need to show a pattern. Filters and frozen headings make a detailed source easier to inspect. If your data is in BigQuery, Connected Sheets brings it into Sheets workflows. Gemini can help with analysis when your account, language, and administrator settings support it—but its generated charts do not stay linked to the source data.
Choose a feature by the question you need to answer
| Analysis need | Best fit | What to know |
|---|---|---|
| Compare totals across categories | Pivot table | Group records into rows or columns and calculate a summary from a value field. |
| Filter, sort, group, or calculate from a range | QUERY and other formulas | QUERY combines a data range with a query-language expression; clean inconsistent types first. |
| Show a trend or category comparison | Chart | Choose a chart that fits the question, then label axes and units. |
| Explore a shared dataset without changing another reader’s view | Filter view | Collaborators can create named, saved views independently. |
| Ask for suggested analysis or spreadsheet actions | Gemini in Sheets or the AI function | Requires an eligible plan; confirm generated calculations and check current availability. |
| Analyze BigQuery data from Sheets | Connected Sheets | Requires BigQuery access and has documented result and extract limits. |
Summarize categories with a pivot table
Pivot tables are a practical first step when you need a compact summary of a clean, headed table—for example, sales totals by region or task counts by priority. Rows and columns define the groups; values specify what to summarize. Google Sheets may also suggest a pivot table based on the selected data. See Google’s pivot table instructions.
Example: sales by region
Start with a source table containing headers such as Region, Product, and Sales, with one record per row. Select the range, create a pivot table, add Region under Rows, and add Sales under Values. Check that the value is summarized as a sum if the question is total sales. Add Product under Columns or a filter if you need to compare product categories.
A pivot table summarizes the selected data; it does not establish that the source records are accurate. Check the range, headers, and calculation before relying on the result.
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Filter, group, and calculate with QUERY or formulas
Use QUERY when you want a formula-driven result that filters, sorts, groups, or aggregates a range. Its syntax is QUERY(data, query, [headers]); the query string uses Google Visualization API Query Language. For example, Google documents QUERY(A2:E6,"select avg(A) pivot B") as an example of aggregation and pivoting. The QUERY function reference explains the syntax and query language.
Clean mixed-type columns first
QUERY expects each input column to contain booleans, numbers (including dates and times), or strings. If a column mixes types, Sheets uses the majority type and treats minority-type values as null. A date stored as text, for instance, may not behave like the other dates in that column. Standardize values before interpreting a QUERY result.
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Use other formula helpers for focused tasks
- FILTER returns rows or columns that meet conditions, useful for extracting a subset without manually hiding other records.
- SORTN helps return a limited set of sorted results, such as the highest-ranked entries.
- SPARKLINE creates a compact visual trend inside a cell, useful beside a row of figures.
- GOOGLEFINANCE retrieves supported financial market information for spreadsheet calculations.
- GOOGLETRANSLATE translates text in a cell, which can help normalize or review multilingual entries.
- IMPORTRANGE brings a range from another spreadsheet into the current file, useful when analysis depends on a separate source workbook.
Google’s Sheets function guide describes these and other formula options. For any imported or retrieved data, verify that the returned values fit the question and the source’s update behavior.
Inspect large tables with filters and frozen headings
Filters narrow the records you see; they do not rewrite the source values. In a shared spreadsheet, a filter view is useful when several collaborators need to examine different subsets. Google says filter views can be named, saved, and shared, while allowing collaborators to use different views without changing one another’s view. Frozen headings keep column labels visible as you move through long tables. Google’s sort and filter guidance covers filter views, and its freeze rows or columns guide covers pinned headings.
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Visualize patterns with charts
Select the relevant source range and choose Insert > Chart. Use a time-series chart for change over time and a bar or column chart to compare categories. Label axes and include units so a reader can interpret the values. A chart can make a pattern easier to see, but it does not validate the underlying records or explain why a pattern occurred.
Sheets charts can also be added to Google Docs or Slides; Google’s chart guide explains chart creation and use in other Google apps.
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Use Gemini for prompt-assisted analysis—with verification
For accounts with access, Gemini in Sheets can help generate analysis and insights, formulas, tables, and charts, and perform actions such as creating pivot tables, applying filters, or setting conditional formatting. Google’s help page suggests prompts including “What analysis can you help me perform with this sheet?” and “Identify trends in this table.” See Google’s Gemini in Sheets help for capabilities and availability details.
Check plan, language, and file eligibility
Gemini in Sheets requires an eligible Google Workspace or Google AI plan and works best with native Sheets files. Availability and supported languages depend on Google’s current eligibility and configuration; check the Google Workspace plans information and the product help page for your account and locale. Administrator settings can also affect access.
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Generated charts are not live source charts
Google says Gemini-generated charts are placed with their underlying data on a new tab and can be edited, but they do not link or respond to changes in the original dataset used to create them. Treat such a chart as a generated snapshot, not a live visualization. Review Gemini’s analysis steps and check its calculations against the source before sharing a result.
The AI function has separate limits and availability
Google documents =AI() or =Gemini() for tasks including generating text, summarizing, categorizing, sentiment analysis, and accessing real-time information from Google Search. It requires an eligible Workspace or Google AI plan. Google’s help page states that the first 350 selected AI-function cells are generated at a time; generation limits may temporarily prevent more generation. The function may also be unavailable because of administrator or language settings. These product conditions can change, so consult Google’s AI function help for the current status.
Analyze BigQuery data with Connected Sheets
Connected Sheets lets users with BigQuery access work with BigQuery data in Sheets using charts, pivot tables, supported functions, calculated columns, extracts, and refresh controls. A chart or pivot table can be refreshed to use newer BigQuery data. The Connected Sheets help page describes available workflows and these current documented limits:
- Connected Sheets pivot tables support up to 100,000 results.
- An extract can pull up to 500,000 rows or 10 MB.
- For an extract above 50,000 and up to 500,000 rows, the data must contain no more than 5 million cells.
- Pulls above 500,000 rows are unsupported.
These are Google’s product limits, not independent performance benchmarks. Check the page for current details before designing a workflow around a particular extract size.
Quick Recap
A practical analysis sequence
- Prepare the source: use one header row, consistent values per column, and one record per row; correct mixed types before QUERY analysis.
- Explore the records: use filters or a filter view to inspect subsets, and freeze headings if you need to scroll through many rows.
- Summarize: build a pivot table for category-level totals or use QUERY when a formula-based filter, grouping, or aggregation fits better.
- Communicate: add a chart that answers a specific comparison or trend question, with clear axes and units.
- Scale or automate where appropriate: use Connected Sheets for BigQuery data within its limits; use Gemini only if your account has access, and verify generated outputs.
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