This post explains how to clean data in Excel faster using TEXTJOIN, Find & Replace and Flash Fill, with step‑by‑step examples you can use immediately.
Stop Wrestling With Dirty Data: 3 Excel Tools That Will Save You Hours
If you work with data in Excel, chances are you spend a lot of time cleaning it up before you can actually work with it.
Extra spaces. Names split across columns. Inconsistent formats copied from CRMs, accounting systems, or other people’s spreadsheets.
The good news? Excel already includes tools that can dramatically speed this process up without complex formulas, VBA, or Power Query.
In this post, we’ll cover three of the most effective tools for rapid data cleaning in Excel, with step‑by‑step examples you can apply immediately:
- TEXTJOIN (instead of CONCAT)
- Find & Replace
- Flash Fill
1. TEXTJOIN: The Smarter Way to Combine Text
Many people still use CONCAT, &, or older formulas like CONCATENATE. These work but they don’t handle messy data very well.
The common problem
You have names split across columns:
- Column A: First Name
- Column B: Middle Name (optional)
- Column C: Last Name
Some rows don’t have a middle name, which leads to double spaces or awkward formatting.
Step‑by‑step: Using TEXTJOIN to fix it properly
Example data:
| A (First) | B (Middle) | C (Last) |
|---|---|---|
| Sarah | Jane | Smith |
| Michael | Brown | |
| Alex | T | Chen |
Step 1: Click in the column where you want the full name e.g Column D
Step 2: Enter this formula:
TEXTJOIN(” “, TRUE, A2:C2)
What’s happening here?
" "= adds a space between textTRUE= ignores empty cellsA2:C2= combines all three columns cleanly
✅ Result:
- No double spaces
- No messy formatting
- One clean, professional full name
Perfect for:
- Names
- Addresses
- Product descriptions
- Data exported from databases or CRMs
2. Find & Replace: Bulk Cleaning in Seconds
Find & Replace is one of Excel’s most underrated tools and one of the fastest ways to clean large datasets.
When used correctly, it can fix hundreds or thousands of rows instantly.
Example 1: Removing extra spaces
Data often contains double spaces from copy‑and‑paste.
Step‑by‑step:
- Press Ctrl + H
- In Find what, type: two spaces
- In Replace with, type: one space
- Click Replace All
✅ Instantly removes double spaces across your selected range.
Example 2: Removing unwanted characters
Common issues include:
$symbols- Commas in numbers
- Line breaks pasted from other systems
Step‑by‑step:
- Press Ctrl + H
- In Find what, type
$ - Leave Replace with blank
- Click Replace All
✅ Your numbers are now numeric not text.
Example 3: Standardising inconsistent data
You might see variations like:
- NSW
- N.S.W
- New South Wales
Step‑by‑step:
- Press Ctrl + H
- Find:
N.S.W - Replace with:
NSW - Repeat for other variations
✅ Consistent data, ready for filtering and reporting.
💡 Tip: Use Find All first to see how many changes will be made before clicking Replace All.
3. Flash Fill: Clean Data Without Formulas
Flash Fill is one of Excel’s most impressive time‑saving tools especially for people who don’t love formulas.
It works by learning patterns from examples you type.
Example 1: Splitting full names
Starting data:
| A (Full Name) |
|---|
| Sarah Smith |
| Michael Brown |
| Alex Chen |
Step‑by‑step:
- In Column B, type the first name for the first row
- Move to the next row and type the next first name
- Press Enter to move to the next line then press Ctrl + E (to Flash Fill)
✅ Excel fills the rest automatically.
Repeat the process for last names in the next column.
Example 2: Extracting usernames from email addresses
Data:
| A (Email) |
|---|
| sarah.smith@company.com |
| michael.brown@company.com |
Step‑by‑step:
- In Column B, type:
sarah smith - Move to the next row and type the next first name
- Press Enter to move to the next line then press Ctrl + E (to Flash Fill)
✅ Excel recognises the pattern and extracts the usernames.
Example 3: Reformatting IDs or text
Flash Fill is excellent for:
- Reformatting phone numbers
- Extracting numbers from text
- Changing text case and structure
All without writing a single formula.
Why These Three Tools Are Game‑Changers for Data Cleaning
Most Excel frustration isn’t caused by complex analysis it’s caused by messy data.
By combining:
- TEXTJOIN for smart text merging
- Find & Replace for bulk clean‑ups
- Flash Fill for pattern‑based fixes
you can:
- Reduce manual editing
- Avoid unnecessary formulas
- Eliminate common data errors
- Get to analysis and reporting much faster
Final Thought: Faster Excel Starts with Cleaner Data
You don’t need advanced tools or complicated workflows to clean data efficiently.
Mastering just these three features can dramatically speed up your everyday Excel work especially if you regularly deal with exported data, shared spreadsheets, or poorly formatted files.
If cleaning data feels like it takes longer than the actual task, these tools are your new best friends.
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Written by Anita Lund, Founder and Owner of Trainers Direct Sydney – Anita Lund is happy for this article to be shared or reused, as long as she’s credited as the author.



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