Bar chart
Best for comparing categories, such as sales by region or orders by product. Sort values when you want the ranking to stand out.
Pivot chart FAQ
Turn a spreadsheet into a clear visual summary: organize the source table, build the pivot, then match the chart to the question you want to answer.
Use clear, unique names such as Region, Order Date, and Sales.
Keep every transaction or observation on its own row.
For example: which region had the highest sales?
Start here
Think of the process as a sequence: source data becomes a summarized table, and the table becomes a chart.
Remove merged cells, blank header rows, and subtotal rows. Make sure every column has a unique label and every amount is stored as a number.
Select a field for rows, optionally another for columns, and a numeric value to calculate. For sales by region, use Region for rows and Sales as the value.
Use Sum for totals, Count for the number of records, or Average for a typical value. Apply filters when you need to focus on a period or segment.
Verify the pivot totals before selecting a visual. A correct pivot table is the foundation of a trustworthy chart.
Make it readable
Start with the analytical question, not the prettiest chart. The right choice makes the result easier to interpret at a glance.
Best for comparing categories, such as sales by region or orders by product. Sort values when you want the ranking to stand out.
Best for change over time. Group dates by month, quarter, or year so the trend is meaningful and the line stays readable.
Best only for a small number of parts of a whole. Use it when the total matters and there are few enough categories to label clearly.
Common questions
These answers cover the setup details that most often affect the accuracy and clarity of a pivot chart.
Use a tidy table with one header row, one record per row, at least one field to group by, and one value to calculate. A simple sales file might contain Region, Category, Order Date, and Sales.
Yes. You can use a browser-based tool to upload CSV or XLSX data, configure row, column, and value fields, and export the resulting chart or summary table.
Check the pivot table first. Common causes are blank or repeated headers, values stored as text, dates that were not recognized as dates, and source data that includes totals or subtotal rows.
A pivot table is the summarized grid of numbers. A pivot chart is the visual representation of that summary. Use the table to verify exact values and the chart to communicate the pattern.
After reviewing the summary, export the chart as an image for slides or reports. Export the pivot table as CSV or XLSX when someone needs the underlying summarized values.