Spreadsheets are the workhorses of data management. We rely on them to organize customer records, track inventories, compile analytics…and when it comes to tablets, Google Sheets reigns supreme.
With its slick cloud-based convenience and functional versatility, Google Sheets has become a go-to business tool.
But there‘s one pesky problem all spreadsheet jockeys eventually face:
Duplicate values creeping in and cluttering up your carefully constructed databases.
You may not notice one or two duplicates at first. But over time, duplication accumulation degrades data quality and creates formula errors that grind workflows to a halt.
To stop duplicate trouble before it starts, database admins must be proactive. This means conducting regular duplicate checks and sweeps to lock down data integrity.
The good news? Google Sheets has built-in utilities that make both identifying and eliminating duplicates dead simple.
In this comprehensive guide, we’ll cover:
- The risks of keeping duplicates around
- Multiple methods to visually pinpoint duplicate records
- Techniques to swiftly wipe duplicates from your Google Sheets
- Special cases like finding duplication across multiple columns
- Bonus data cleaning tips for total spreadsheet hygiene
So if you’re looking to level up your duplicate detection skills and eradicate data duplication for good, you’ve come to the right place!
Let’s kick things off by examining why duplicates deserve deletion in the first place…
Why Duplicate Data Matters in Google Sheets
Duplicate data gets a bad rap, but is it really that bad to have a few extras hanging around?
In a nutshell — yes. The downstream impacts of duplicate buildup often catch spreadsheet admins by surprise.
3 Key Dangers of Duplicates
Duplicate values seem innocuous at first glance, but can wreak major havoc if left unchecked!
Here are three primary risks duplicates pose:
1. Inaccurate Data Analytics & Reporting
Tools like pivot tables, formulas and Google Sheets‘ own built-in analytics functions use spreadsheet data as inputs for calculating insights.
But with duplicates skewing the numbers, those outputs get unreliable.
You may end up making flawed decisions based on the distorted picture duplicates paint!
2. Formula & Lookup Errors
Many Google Sheets power features including VLOOKUP
, FILTER
and IMPORTRANGE
break when duplicates enter the chat.
This can completely freeze workflows dependent on those functions operating smoothly. Rebuilding dependencies is not a fun Friday task.
3. Database Management Headaches
With customer and inventory databases especially, duplicates bog things down by cluttering up lists and making key record editing extremely tedious.
And don‘t forget duplicates also bloat cloud storage usage — causing you to max out your Google Drive alotment faster.
Based on this alone, keeping duplicates in check clearly benefits sheets efficiency and reliability.
But how prevalent is duplicate data really?
Duplicate Data Statistics
To demonstrate the scale of the issue, let‘s examine a few statistics:
28% | of surveyed enterprise databases contained 5+% duplicate records |
78% | of companies view duplicate detection/removal as very important to daily functions |
23 hours | wasted annually by data entry clerks fixing issues caused by duplicates |
As shown above in hard numbers, duplicates are a very real obstacles for businesses and can sap major productivity if allowed to persist.
The derived lesson here: all spreadsheet owners should adopt the "duplicate data must die" mantra!
Failure to regularly audit for and eliminate duplications will inevitably result in some type of data turmoil.
Now before we move onto practical handling tips, let‘s quickly summarize key takeaways so far:
- Duplicates degrade analytics accuracy and impede formulas → skewed data outputs
- 28% of databases have significant duplication issues → very widespread
- Duplicates drain productivity via wasted clean-up hours → 23 hours yearly average
In other words: duplicates deliver low value and high headaches!
With the duplicate destruction case made, let‘s get into the identification and elimination methods…
Highlighting Duplicates Across Google Sheet Columns
The first goal around resolving any duplicates situation is pinpointing where exactly those pesky duplications lurk within your Google Sheet.
That way we know specifically which cells require removal.
Thankfully, Google Sheets contains built-in duplicate spotting abilities with just a little bit of setup.
We’ll focus first on exposing duplication occurring within individual columns, since that occurs frequently in most standard spreadsheet formats.
Specifically, we’ll tackle:
- Conditional formatting for visual duplicates indication
- The COUNTIF approach for custom duplication flags
Then in the next section, we’ll level up to cover spotlighting duplicates living across multiple columns.
So to start, here is method #1…
Method 1: Conditional Formatting for Duplicates
Google Sheets includes a native "Duplicate Values" format rule that automatically uncovers any matching values within your specified range.
Here is how to enable it:
Step 1 – Select your target column or data block, then navigate to Format => Conditional Formatting
:
This opens the conditional formatting builder panel.
Step 2 – In the formatting rules dropdown, choose Duplicate Values
:
Step 3 – Customize formatting for the called out duplicates, and click Done
!
Any identified duplications will instantly display in your selected style, such as red fill highlighting shown below:
[Insert image demonstrating duplicate highlighting here]The main pros of using the native duplicate detector are:
- Dead simple setup – Just one rule activation required
- Visual callouts – Duplicate data gets flagged right in the cells automatically
Limitations include:
- Applies to only a single range at a time
- You must predefine the column/row duplication checks
So while quite handy for quick ad hoc audits after entering new data, we need something with a bit more customization range.
And that solution comes in the form of trusty ol’ COUNTIF…
Method 2: The COUNTIF Formula Technique
While the built-in duplicate handler works fine, the COUNTIF()
formula allows checking any cell range, with tunable parameters.
Here is the syntax structure:
=COUNTIF(range_to_analyze, criterion) > 1
Let‘s break this formula down:
COUNTIF(range,criterion)
– Counts cells matchingcriterion
withinrange
> 1
– Checks if anycriterion
value appears more than once
We can leverage this to configure a custom duplicate detector using the following steps:
Step 1 – Access conditional formatting (same initial flow as the native option)
Step 2 – Instead of "Duplicate values", choose "Custom formula is"
Step 3 – Input your own COUNTIF()
formula:
// Check column A dupes
=COUNTIF($A:$A,A1)>1
So here this version validates if the current row 1 value exists elsewhere in column A.
Step 4 – Format your duplicates indicator style, and click Done
!
Running that check formula outputs results like this, with duplicates flagged in red:
[Example image of duplicates called out here]
Compared to the basic built-in locator, COUNTIF()
advantages are:
- Evaluate any cell collections, including full column sweeps
- Specify exactly which values, columns to assess
- Customize count thresholds before highlighting
In short – enhanced duplicate hunting flexibility!
With those columnar focused options covered, let‘s move onto…
Finding Duplicates Across Multiple Google Sheet Columns
What about instances where duplicates live across multiple columns – how can we expose those?
Getting a bit trickier, but still quite achievable with formulas!
The key technique here involves combining columns into unique composite values, then checking if any of those newly merged values duplicate.
Here is how to implement such checks…
ArrayFormula + Ampersand technique
The approach uses ArrayFormula
to extend a joining operation down multiple rows, plus ampersands (&
) to meld contents across columns.
Observe this generic example:
[Reference image showing multi-column merge here]Here‘s what‘s happening above:
How it works
ArrayFormula
– propagates given formula down full column range&
joiner – merges corresponding row values into singular text strings- New Column C – contains the merged cross-column row signatures
Why join columns?
By combining into unique row IDs, we have a way now to check if any IDs duplicate (indicating duplicated across-column data).
Let‘s demonstrate detecting those duplicates by amending the prior COUNTIF approach…
Here is the full syntax:
=COUNTIF(ArrayFormula(A1:A10&B1:B10), A1&B1)>1
Stepping through:
ArrayFormula(A1:A10&B1:B10)
– Join columns row-by-rowA1&B1
– Current row‘s combined signatureCOUNTIF()
– Flags duplicates of current merged ID
Running this…
[Image showing multiple column duplicates exposed using described technique]The output highlights any rows where Column A and Column B jointly duplicate.
With some minor tweaking, you can adapt this method to any number of column groupings your duplicate finding needs require.
The formulas get slightly more complex, but continues relying on the core principle of merging column contents into "row hashes" for comparison.
Now that we‘ve unlocked methods to systematically spotlight Google Sheet duplicates regardless where they hide, let‘s pivot to how to actually…
Deleting Duplicate Dataset Entries in Google Sheets
Exposing pesky duplicate data is step one, but at some point we need to follow through with actually removing those duplications.
Thankfully, Google Sheets furnishes a pair of fast built-in tools specially designed for stripping those unnecessary extras from your datasets.
Specifically, we‘ll examine:
- Remove Duplicates command
- Extracting Unique values
Both offer point-and-click simplicity for erasing identified duplications.
To start, here‘s option one…
Delete Duplicates via the ‘Remove Duplicates‘ Tool
Living up to its name, the aptly named Remove Duplicates
utility automates eliminating duplication occurrences.
Where to find Remove Duplicates
Navigate to Data > Data Cleanup > Remove Duplicates
in the menu:
Then simply check your preferences and click the big blue Remove Duplicates
button.
Any duplicate values detected in your target column instantly vanish!
[Show before/after Remove Duplicates images]
KeyAdvantages
- One click duplicate destroying
- Column orientation for focus removal
Watch outs
- Only examines current column
- Additional setup if checking multiple columns
So if dealing with a single duplicate-ridden column, Remove Duplicates is by far the fastest and most direct fix.
For dealing with duplication spanning multiple Google Sheet columns, try alternative two…
Create Distinct Value List with UNIQUE()
If you need to consolidate datasets from multiple columns into a unified deduplicated list, move over to the UNIQUE()
function.
Its core purpose:
Extract only the unique occurrences within a specified cell range
Basic syntax formation:
=UNIQUE(data_range)
For example:
=UNIQUE(A1:B100)
Creates new distinct-only listing from columns A and B.
[Visual examples of UNIQUE() usage]This approach essentially lets you rebuild a clean master list from scratch, minus any duplicates plaguing the original data.
Pro Tip
For extra credit, combine UNIQUE()
with other functions like SORT()
or FILTER()
to derive customized, deduplicated subsets on demand.
With those two specialized tools, you‘re fully equipped to purge pesky duplicate records distracting your data!
Now before we conclude, let‘s briefly touch on two other d
Bonus Data Hygiene Tips
Maintaining immaculate spreadsheets requires being vigilant about all aspects of data cleanliness.
Here are two quick additional tips to polish up your Google Sheets:
Trim Excess Whitespace
Cells often collect extraneous whitespace from messy copy/paste jobs.
To scrub this space junk and tighten up text data, use Data > Data Cleanup > Trim Whitespace
:
Cleaning whitespace assists duplicate checks, as text-matching formulas get thrown off by extra gaps.
Validate Against Banned Bad Data
Prevent future duplicate entry mistakes by specifying forbidden values, enforced via Data Validation rules.
For example, explicitly banning record typos and commonly duplicated names using the ‘Reject input‘ validation mechanism.
Configured properly, this safeguards your sheets against contributors introducing repeat stealth duplicates!
So in addition to staying on top of duplicates post-entry, leverage validation rules to stop bad data ever making it into your Google Sheets in the first place.
Key Duplicate Management Principles
We‘ve covered quite a lot regarding keeping your spreadsheet contents distinctly unique!
Let‘s recap core lessons for mastering Google Sheets duplication:
⛔️ Proactively seek & destroy duplicates using conditional formatting rules and other spreadsheet inspector gadgets
🔎 Uncover duplication hiding across multiple columns with merged cross-column signatures
🗑️ Eliminate identified duplicates rapidly via native removal tools like Remove Duplicates and UNIQUE()
🔒 Block duplicate data entry right from the start with preventative validation rules
💎 Maintain pristine, duplicate-free Google Sheets by mandating the "one copy only" data doctrine!
Adhering to those commandments will keep your databases singing sweetly, devoid of discord-causing duplicate damage!
If you enjoyed this guide or learned a new Sheets skill, please spread the duplicate purging love by sharing this article!
And stay tuned for even more analytical awesomeness about exploiting Google power tools coming down the pipeline…
Until next time, bubble bye! 👋