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Guides Claude published mar 4, 2026
Learn four copy-paste prompts that turn a raw CSV into a clean, visual Excel dashboard using Claude in Excel. You will import a dataset, have Claude inspect and clean it, then generate summary tables, conditional formatting, and charts. The cleaning pass can take a minute or two depending on the data, and the dashboard-building step takes about five minutes.
You will build a polished Excel dashboard from a raw CSV, with reusable prompts you can apply to other datasets.
The workflow starts from messy CSV-style data like this and turns it into a dashboard.
Always duplicate your data into a second tab or save a backup copy before you start. Claude can modify cells directly and may overwrite things.
Open Excel, click Add-ins in the top ribbon, then Get Add-ins. Search for Claude and install it. The Claude button will appear in your ribbon. Click it and log in.
Open your CSV in Excel. If it opens as a flat file, save it as a workbook (.xlsx).
Pro tip: Always duplicate your data into a second tab or save a backup copy before you start. Claude can modify cells directly and occasionally overwrite things, so it is better to have a safety net.
Paste this prompt into Claude:
Look at all the data in this workbook. Tell me what this data is, what each column represents, and flag any problems with the structure or formatting. List the issues.Claude will scan the workbook and return a plain-English breakdown of what the data is, what each column means, and what is wrong with the structure or formatting. This helps Claude understand the dataset before it starts building anything.
Paste the second prompt:
Fix every issue you just identified. Remove any junk rows or metadata. Format numbers so they're human-readable. Create proper tables with clear headers. Sort by whatever the most important metric is.Claude will remove junk rows, reformat numbers, build a proper table with headers, and sort by the metric that matters most.
Pro tip: Turn on session logging in Claude’s settings. It tracks every change Claude makes in a separate sheet, which is helpful if you need to undo something or explain the process to a teammate.
Paste the third prompt:
Create a new "Dashboard" tab. Identify the top 3-5 most useful metrics from this data and build a summary table for each. Rank the entries. Use conditional formatting to highlight the top performers in green and the bottom performers in red.Claude creates a new tab and builds summary tables based on the metrics it identifies as most useful. In the source examples, it chose rankings, growth rates, and year-over-year change for GDP data, and scoring leaders, assist leaders, and efficiency for NBA stats.
Paste the final dashboard prompt:
Add 2-3 charts to the Dashboard tab that tell the story of this data. Pick the chart types that make the most sense (bar, line, scatter, etc). Make them clean and labeled.Claude picks chart types based on the data. For GDP data, it built a line chart showing GDP over time and a bar chart comparing countries. For NBA stats, it made a bar chart for top scorers and a scatter plot for points vs. assists.
If you want to keep using the dashboard every month or quarter, paste this optional prompt:
Turn this dashboard into a reusable template. Replace the data with placeholder labels so I can swap in new data next month.Claude will turn the dashboard into a template workbook so you can drop in fresh data and run the prompts again.
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