ChatGPT for Excel: 10 Real-Life Examples of Excel Tasks

ChatGPT-for-Excel-10-Real-Life-Examples-of-Excel-Tasks
ChatGPT for Excel 10 Real-Life Examples of Excel Tasks

Imagine never hunting for formulas or cleaning data by hand – ChatGPT makes Excel tasks faster. Integrating AI into spreadsheets opens up new possibilities for beginners and data analysts alike. Microsoft’s ChatGPT for Excel add-in lets users automate tasks, fix errors, and extract insights directly in Excel. In this guide, we’ll explore 10 practical examples where ChatGPT streamlines everyday Excel work. Each example includes a sample prompt or scenario, showing how AI can handle the heavy lifting so you can focus on analysis.

Example 1: Converting Messy Text to a Table (ChatGPT for Excel)

Copying unstructured data into Excel often gives a jumbled mess. Instead of manual cleaning, you can ask ChatGPT to reformat it. For instance, given a list like

Smith - 2 iPhones, $1,900  
Jane Doe - 1 MacBook, $2,400
Carlos Mendez - 3 AirPods, $450

you could prompt: “Reformat this data into a table with columns: Name, Product, Quantity, Price.” ChatGPT responds with a structured table of rows and columns, which you can paste into Excel instantly. This saves hours of copy-pasting and splitting text.

Example 2: Debugging Formulas and Errors (ChatGPT for Excel)

Getting a #REF! or #VALUE! can be frustrating. ChatGPT can inspect your formula and pinpoint the issue. For example, if =VLOOKUP(A2, Sheet2!A:D, 5, FALSE) returns #REF!, you might ask: “Why is this VLOOKUP returning #REF!?” ChatGPT will note that the range A:D has only 4 columns, so column 5 is invalid. It then suggests the fix (change to column 4). In short, ChatGPT explains Excel errors in plain language and offers corrected formulas, turning hours of trial-and-error into a quick conversation.

Example 3: Writing Advanced Formulas (ChatGPT for Excel)

Combining functions like INDEX, MATCH, and MAXIFS can be tricky. ChatGPT can craft these for you. For example, you could ask: “How do I get the most recent purchase date for each customer?” ChatGPT might suggest using =MAXIFS(B:B, A:A, "CustomerName"). Going further, to find the customer name for that date, it might propose nesting INDEX/MATCH with MAXIFS:

=INDEX(C:C, MATCH(MAXIFS(B:B, A:A, "CustomerName"), B:B, 0))

This advanced combo finds the customer associated with their latest order. ChatGPT’s guidance helps beginners apply complex functions correctly.

By describing your goal in plain words, ChatGPT translates it into a precise Excel formula. In one session, it can generate powerful formulas that even experienced users might not immediately think of.

Example 4: Generating Realistic Test Data (ChatGPT for Excel)

Need a dummy dataset for testing? ChatGPT can quickly create one. Prompt it with: “Generate a table of 100 fake sales transactions with columns Date, Customer, Product, Quantity, and Total Price.” Within seconds, ChatGPT outputs a fully populated table of sample rows. You just copy-paste this into Excel and instantly have realistic data for trial runs. This is invaluable for building templates or reports without waiting for actual data.

Example 5: Applying Conditional Formatting Rules (ChatGPT for Excel)

ChatGPT can even help with dynamic formatting. For example, ask: “How do I highlight all sales over $10,000 in red and under $1,000 in green?” ChatGPT might reply with custom formulas like:

  • =AND(A1>10000) (for red highlighting)
  • =AND(A1<1000) (for green highlighting)

It will also guide you through using Excel’s Conditional Formatting menu to apply these rules. In this way, ChatGPT turns a formatting question into a clear set of steps, making your key data pop visually.

Example 6: Creating and Analyzing Pivot Tables (ChatGPT for Excel)

Pivot tables are powerful but intimidating to set up. ChatGPT can walk you through it. Suppose you have a sales dataset and ask: “How do I create a pivot table showing total sales by Region and Product Category?” ChatGPT will give step-by-step instructions, such as:

  1. Select your entire dataset.
  2. Go to Insert > Pivot Table and place it on a new sheet.
  3. In the PivotTable Fields pane, drag Region to Rows, Product Category to Columns, and Sales Amount to Values (set to Sum).

It even explains how to troubleshoot if things look wrong (e.g. values being counted instead of summed). This guidance builds confidence in beginners and speeds up analysis for all users.

Example 7: Generating Power Query or Power BI Formulas (ChatGPT for Excel)

For large datasets, ChatGPT can suggest advanced formulas. For example, you might ask: “What DAX formula calculates year-over-year growth in Power BI?” ChatGPT could respond with a formula like:

YoY Growth = ([Total Sales] - 
CALCULATE([Total Sales], SAMEPERIODLASTYEAR('Date'[Date]))) /
CALCULATE([Total Sales], SAMEPERIODLASTYEAR('Date'[Date]))

This saves time searching documentation. Similarly, ChatGPT can write Power Query M code or DAX formulas when prompted, making Excel and Power BI tasks far easier for non-experts.

Example 8: Extracting Specific Data from a Column (ChatGPT for Excel)

Imagine a column that mixes names and emails, and you need just the email addresses. ChatGPT can suggest a formula to parse it. For instance, you might ask: “How do I extract only email addresses from a column of mixed text?” ChatGPT could propose using a FILTERXML formula. For example:

phpCopyEdit=FILTERXML("<t><s>" & SUBSTITUTE(A1:A100, " ", "</s><s>") & "</s></t>", 
"//s[contains(., '@')]")

This formula finds all segments containing “@” in the range. (ChatGPT might also suggest using Power Query for a more scalable solution.) Instead of manual copy-pasting, you get a targeted solution in seconds.

Example 9: Directly Manipulating Excel Files (ChatGPT for Excel)

If you have the Excel add-in or API access, ChatGPT can even edit spreadsheets for you. For example, say your “Sale Date” column has inconsistent formats (like MM/DD/YYYY, DD-MM-YYYY, or text dates). You can tell ChatGPT: “Please standardize the ‘Sale Date’ column to YYYY-MM-DD.” The AI will parse your uploaded file, detect each format, and output a clean column with uniform dates.

Beyond dates, you can ask it to automate other clean-up tasks, such as:

  • Remove duplicate records from the dataset.
  • Split full names into First and Last Name columns.
  • Add calculated columns, for example a “Profit Margin %” or a “Status” flag based on conditions.

In short, ChatGPT can perform many edits automatically, eliminating hours of tedious clicking.

Example 10: Analyzing Excel Files and Extracting Insights (ChatGPT for Excel)

Finally, ChatGPT can act as a data analyst. After uploading your file, ask it to summarize trends. For example: “Summarize key trends in my sales data and highlight top regions and products.” ChatGPT will quickly scan your spreadsheet and reply with insights like:

“Your data shows a 12% increase in total sales this quarter compared to last quarter. Electronics was your highest-performing category with 25% growth, and the North America region contributed most to overall growth, while Europe remained flat. Seasonal trends indicate rising demand for Home Appliances in Q4.”

It may even generate charts to illustrate these trends. This transforms raw numbers into a concise report, perfect for presentations.

Integrating AI into spreadsheets means Excel does more of the heavy lifting for you. From formula writing and data cleaning to analysis and reporting, ChatGPT can handle a wide range of tasks. By using natural language prompts, even beginners can supercharge their Excel workflows.

Jitendra Rao

Jitendra Rao, the founder of Excel Pro Tutorial, is a seasoned Microsoft Excel Trainer with over 11 years of hands-on experience. He shares his knowledge through engaging tutorials in Hindi on both YouTube and Instagram, making learning Excel accessible to a wide audience. With a strong background in not only Excel but also PowerPoint, Word, and data analytics tools like Power BI, SQL, and Python, Jitendra has become a versatile trainer. His mission is to empower individuals and professionals with the skills they need to succeed in today’s data-driven world.

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