Revenue by month and product
Rows hold Product, columns hold Month, values SUM Revenue from a Transactions tab with thousands of rows.
A pivot table summarizes a large table without writing SUMIFS for every combination. Drag fields into rows, columns, values, and filters to count deals by rep, sum revenue by month, or average scores by classroom. The pivot updates when you refresh the source range or change the pivot cache.
Use pivot tables when you explore categorical breakdowns: sales by SKU and region, support tickets by tag, or survey counts by answer choice.
Skip pivots when you need row-level detail exports, complex custom columns, or a layout that must stay fixed cell by cell for printing. QUERY or manual summary tabs may fit better.
Select your data table with headers, then Insert > Pivot table and choose New sheet or Existing sheet.
Drag fields into Rows and Columns to define groupings, and into Values to pick SUM, COUNT, AVERAGE, or other aggregations.
Add fields to Filters to narrow the pivot without moving them into the visible grid.
Enable Show totals for row and column subtotals when leadership expects rollups.
Refresh pivot data after appending rows to the source or editing category labels.
Copy pivot layout to a new file only after reconnecting the source range in the destination workbook.
Rows hold Product, columns hold Month, values SUM Revenue from a Transactions tab with thousands of rows.
COUNT of Ticket id in Values with Status in Rows gives open queue size for a weekly ops email.
AVERAGE on Amount with Owner in Rows highlights coaching opportunities without a custom QUERY string.
Build this without starting from a blank cell
Use a Better Sheets tool for Pivot table, then watch a walkthrough when you want the full pattern.
Guides that explain Pivot table in more depth.
Through the use of computational tools, like AI and automation functions, you can gain insight from data that was previously too time consuming to extract.
Read post →Learning Google Sheets empowers Business Analysts to efficiently analyze data, create insightful visualizations, collaborate with stakeholders, and streamline their data analysis workflows. It's a valuable tool for data-driven decision-making and problem-solving in a business context.
Read post →Learning more skills in Google Sheets empowers administrative professionals to manage data efficiently, make data-driven decisions, collaborate effectively, and improve overall productivity.
Read post →Filtering hides rows that do not match criteria without deleting data. The filter toolbar on a header row is the fastest UI path. FILTER and QUERY formulas build dynamic views that update when source data changes, which suits dashboards and reporting tabs.
Read guide →A dashboard is a single view that answers "how are we doing?" without hunting across tabs. In Google Sheets, it is usually a summary tab with big numbers, charts, and conditional formatting fed by QUERY, pivot tables, or IMPORTRANGE from raw data you keep elsewhere.
Read guide →Row and column grouping adds outline controls on the left or top edge so readers expand or collapse sections. It is a presentation layer: formulas still see all cells whether collapsed or not. Grouping suits budgets, project plans, and any sheet with detail rows under subtotal headers.
Read guide →A slicer is an on-sheet control that filters connected pivot tables and charts. Click category buttons instead of digging through filter menus. Slicers make dashboards feel interactive for executives and account managers who will not touch formula tabs.
Read guide →Done reading about Pivot table?
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