Keep Excel’s 3D Bar Charts, Then Verify the Imported Data

Yes—Google Sheets supports importing Excel 3D bar charts without flattening them to 2D. Google announced the change on July 1, 2026, for all Google Workspace customers and personal Google accounts. Previously, imported 3D bar charts displayed as 2D bars. The announcement covers importing that chart type, not universal compatibility with every Excel chart or workbook feature. Google’s announcement

For a workbook you plan to share, import a separate Sheets copy, compare the imported chart with its source cells, and prepare a reviewed table for publication. A chart retaining its depth does not establish that its categories, series, source range and displayed values are all correct.

Select your source chart, import status and data-check result to see the next step.

The Update Covers Imported 3D Bar Charts

The practical change is that an Excel 3D bar chart can retain its three-dimensional appearance when imported into Google Sheets. You no longer need to assume that a flat-looking result is the only supported outcome for that chart type.

Keep the scope narrow, however. Import support is not a promise that every Excel chart will look identical in Sheets, or that every chart option available in Excel has an equivalent editing control in Sheets. The announcement also does not establish a general workflow for creating new 3D charts from scratch in Sheets.

Check the chart type in the original Excel workbook rather than judging it only by its appearance. A chart with depth is not necessarily the specific 3D bar chart covered by the update. Google’s compatibility guidance still recommends Excel for rare chart types such as 3D pyramid and pie-of-pie charts. Excel compatibility and import guidance

The rollout applies to both Google Workspace customers and personal Google accounts. That account coverage does not broaden the chart-type coverage: the relevant question remains whether the source is an Excel 3D bar chart and whether the imported result is usable.

Import Into a Separate Sheets File

Keep the original Excel workbook as your comparison copy. A separate imported spreadsheet gives you a place to inspect and repair the result without confusing it with the source workbook.

On a computer:

1. Create or open a spreadsheet in Google Sheets.
2. Choose File > Import.
3. Choose the Excel file and click Select.
4. Select Create new spreadsheet to keep the import separate from existing work.
5. Click Import data, then Open now if prompted.

Google documents this route and confirms that edits to the resulting Sheets file do not change the original Excel file. The other Excel import options are Insert new sheet(s) and Replace spreadsheet. Use the replacement option only when replacing the existing spreadsheet is intentional.

For a compatibility check, creating a new spreadsheet is the clearest choice. It leaves you with an original workbook and an imported copy that you can compare side by side. Before editing the imported chart, inspect its initial state so you can distinguish an import issue from a change you made afterward.

If the Excel file is already open in Sheets, File > Save as Google Sheets creates a converted Sheets copy. Simply editing an Excel file through Sheets is a different workflow: those changes are saved in the original Excel format. Do not treat opening an Excel file in the Sheets interface as proof that you have created a separate Google Sheets spreadsheet.

That distinction matters when you are testing the chart. Decide whether you are reviewing a converted copy or editing the Excel file itself before changing ranges, labels or chart types. For the comparison workflow here, use a separate Sheets copy and retain the original workbook.

Verify Categories, Series and Values Before Styling

Compare the chart in the original workbook with the imported chart and the imported source cells. The chart can look convincing while still showing the wrong range. Start with what the bars represent, then check their presentation.

Categories and Series Must Match the Source

Check that every intended category appears and that the category order is correct. If the source chart compares regions, confirm that the same regions appear in the imported chart. A missing category or an extra total can change the comparison even when the remaining bars look right.

Next, compare the legend with the source column headers. Each series should still refer to the correct numeric column. If two reporting periods are being compared, both should be represented, and their labels should identify the right values.

Use the original source table to settle ambiguity. A familiar color is not enough to identify a series if the legend or range has changed. Read the label and trace it back to the cells that supply its values.

Spot-Check Values and Their Meaning

Compare the largest, smallest and one middle value in each series with the source cells. This is a targeted spot-check, not a complete audit of every cell. If you find a mismatch, resolve it before treating the chart as ready to share.

Also confirm the units, axis scale, stacking, titles and any percentage formatting. A correct number can still communicate the wrong meaning if its unit is unclear or the chart uses a different comparison structure. For example, a chart intended to compare separate series should not be accepted merely because the same values appear somewhere in a stacked display.

Finally, inspect the appearance for missing labels, overlapping bars or changed colors that affect interpretation. Retaining the 3D effect is only useful if readers can still identify the categories and compare the values. Avoid spending time matching colors before establishing that the chart is drawing the intended data.

Use the Source Range to Diagnose a Wrong Chart

This illustrative dataset, not a measured result or a compatibility benchmark, belongs in cells A1:C4:

Region	2024 responses	2025 responses
North	120	145
South	95	110
West	130	125

A chart comparing both years should include all three regions and both response columns. It should not show only one year or include an extra total row. The headers identify the series, while the region names identify the categories.

In this example, inspect the range before changing the chart’s appearance. If the chart omits West, check whether the selected cells stop before the last row. If only one year appears, check whether both numeric columns are included. These are range checks, not evidence that the 3D import feature itself has failed.

To inspect or repair the source range, double-click the chart and open Setup. Under Data range, click the grid icon, select the intended cells and click OK. To change the chart type, use Setup > Chart type. Google’s chart editing instructions

For the illustrative table, the intended comparison uses A1:C4: one header row, three region rows and both response columns. For your own workbook, select the actual intended cells rather than copying that address. Your data may occupy a different sheet, range or layout.

After repairing the range, repeat the category, series and value checks. A corrected range should be evaluated by the resulting chart, not just by the address shown in Setup. Confirm that the labels and legend now describe the cells you selected.

A Flat Result Calls for a Fresh Import or a Fallback

If the imported chart still appears flat, first confirm the chart type in the original Excel workbook. The update specifically concerns 3D bar charts; a different chart with a depth effect is not enough to establish that this import behavior applies.

For a copy imported before the update, try a fresh import from the original workbook. Treat the old copy as a comparison artifact rather than assuming it will acquire the new appearance automatically. Inspect the newly imported chart before making further edits.

If the new result remains unsuitable, rebuild a standard bar or column chart from the verified cells. That gives you a chart based on a known source range rather than a search for an undocumented 3D setting. See how to choose and build a Google Sheets graph.

Use the following distinctions to choose your next step:

What You Find	Next Step
Source is not a 3D bar chart	Do not assume this update covers it.
Copy was imported before the update	Try a fresh import from the original.
Categories or values are wrong	Repair the range and recheck the data.
Appearance remains unsuitable	Build a 2D chart from verified cells.

Do not confuse an appearance problem with a data problem. A flat chart with correct values may be usable for a public comparison. A preserved 3D chart with an incorrect range is not ready to share. Choose the fallback based on whether the chart communicates the reviewed data clearly.

Choose 2D When Depth Obscures the Comparison

Preserving the Excel chart can be useful when you need to carry an existing workbook into Sheets. Publication is a separate decision. If depth makes bars or labels harder to read, consider a 2D chart for the public version even when the 3D import succeeds.

Judge the result against the comparison readers need to make. They should be able to identify each category, distinguish the series and understand the units. Keeping the underlying values available lets them check the comparison without relying only on the apparent size of the bars.

You can retain the imported chart in your working copy while preparing a simpler public chart from the same reviewed cells. The goal is not to reproduce every visual detail at the expense of readability. It is to present the same verified comparison in a form readers can inspect.

Publish a Reviewed Dataset, Not a Formatting Promise

Prepare a publication copy with one header row, consistent units and only the rows and columns intended for readers. Record the source, reporting period and update date alongside the published data. Remove sensitive information before uploading anything.

Make the publication boundary explicit. A workbook used internally may contain material that does not belong in a public comparison. Review the actual export or upload copy rather than relying on the fact that the visible chart uses only a selected range.

TablePage accepts CSV, TSV, XLSX and XLS files and generates a public dataset page with a filterable table and charts. Treat that as publishing the reviewed dataset—not as a promise to preserve the Excel chart’s 3D formatting.

After upload, check the published headers, row count and sample values before sharing the link. Compare them with the publication copy, not with an earlier workbook that still contains excluded data. Confirm that readers can tell what the values measure and which reporting period they cover.

The final handoff has two separate tests: the Sheets import must represent the intended source data, and the public page must represent the reviewed publication copy. Passing the first does not replace the second. Keep the original workbook available for comparison, and share the public link only after the published table and chart pass their own checks.