SlideShare a Scribd company logo
1 of 15
Building Solutions for Business 
Dynamic Content for Data 
Validation Lists
Data Validation Lists Overview 
• Data validation provides a way to ensure the 
contents of the cell are restricted to specific 
choices in a list 
• Data entry by list is faster and more accurate than 
typing a response in a cell 
• It is an intuitive and familiar input method 
• Will increase usability of data entry forms
The Challenge 
Building a drop down list based on fixed or named 
ranges is not flexible, and can be complex for users 
to manage. 
Data validation list can be difficult to manage 
when: 
• The source location of the list changes 
• New entries are added to the list
The Solution 
• This deck will step through building a data 
validation list the traditional way 
• It will then use a newer more flexible, self-managing 
method 
• This method is very useful if you are distributing 
solutions to end users with less Excel experience
Building a Simple List 
• This example will walk through building a 
dropdown validation list based on a range of cells 
• Using cell ranges allows for the content of the list 
to be more easily managed
• Enter list 
values in a 
range of cells. 
• Click on the 
data validation 
button in the 
data ribbon 
• Select List 
from the Allow 
box
• Select the 
range of cells 
the list will 
display 
• The list and 
data are now 
connected 
• Changes to the 
source data 
will be shown 
in the list
Use Named Ranges 
• Using named ranged references for a list is a best 
practice strategy 
• From the previous example, let’s define the list of 
fruits with a name called “lstFruits” 
• The data validation will now reference the name 
rather than a static range of cells
• Define a name 
for the range 
of cells using 
the name box 
to the left of 
the formula 
bar 
• Use the name 
range in the 
list definition
What if the contents of list 
changes? 
• This list will need to be maintained and sorted 
• When adding items to a named range, you must 
take care that the item is picked up by the range 
• This level of maintenance can be time consuming 
and beyond the skills of some users 
• The answer is to create self maintaining lists
Dynamic List Ranges To the 
Rescue 
• Let Excel automatically determine the number of 
rows in the list and just display those 
• Items can be added or removed as required 
without impacting the ease of maintenance
Create the first 
item of list data 
starting at row 1 
Note the old 
static definition 
of the list 
Change the 
definition of the 
lstFruits name 
to the following
What the Formula Does 
=sheet3!$A$1:INDEX(sheet3!$A:$A,COUNTA(sheet3!$A:$A)) 
• This formula makes everything work 
• CountA – will count all of the non-blank rows in 
the column 
• Index – will determine the bottom of the list
You’re Done 
• You can now add and change items in the list 
without altering name definitions or tweaking 
named ranged
Building Solutions for Business 
For more ideas and tips visit 
our blog at 
http://www.excelgenius.ca

More Related Content

What's hot

"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1
"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1 "Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1
"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1 Andriy Krayniy
 
SQL Server Index and Partition Strategy
SQL Server Index and Partition StrategySQL Server Index and Partition Strategy
SQL Server Index and Partition StrategyHamid J. Fard
 
Introduction of sql server indexing
Introduction of sql server indexingIntroduction of sql server indexing
Introduction of sql server indexingMahabubur Rahaman
 
Spssbaseusersguide160
Spssbaseusersguide160Spssbaseusersguide160
Spssbaseusersguide160aikluss
 
Database Indexes
Database IndexesDatabase Indexes
Database IndexesSperasoft
 
introduction to spss
introduction to spssintroduction to spss
introduction to spssOmid Minooee
 
Database index
Database indexDatabase index
Database indexRiteshkiit
 
Week 07 working with queries
Week 07   working with queries Week 07   working with queries
Week 07 working with queries RIAH ENCARNACION
 
Database indexing framework
Database indexing frameworkDatabase indexing framework
Database indexing frameworkNitin Pande
 
Relational databases
Relational databasesRelational databases
Relational databasesshams mshirb
 
Data preprocessing in Machine learning
Data preprocessing in Machine learning Data preprocessing in Machine learning
Data preprocessing in Machine learning pyingkodi maran
 
Machine Learning (simplified)
Machine Learning (simplified)Machine Learning (simplified)
Machine Learning (simplified)Sreenivasa Etla
 
Database index by Reema Gajjar
Database index by Reema GajjarDatabase index by Reema Gajjar
Database index by Reema GajjarReema Gajjar
 
Geek Sync | SQL Server Indexing Basics
Geek Sync | SQL Server Indexing BasicsGeek Sync | SQL Server Indexing Basics
Geek Sync | SQL Server Indexing BasicsIDERA Software
 
Making solubility models with reaxy
Making solubility models with reaxyMaking solubility models with reaxy
Making solubility models with reaxyAnn-Marie Roche
 

What's hot (20)

"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1
"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1 "Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1
"Using Indexes in SQL Server 2008" by Alexander Korotkiy, part 1
 
SQL Server Index and Partition Strategy
SQL Server Index and Partition StrategySQL Server Index and Partition Strategy
SQL Server Index and Partition Strategy
 
Introduction of sql server indexing
Introduction of sql server indexingIntroduction of sql server indexing
Introduction of sql server indexing
 
Spssbaseusersguide160
Spssbaseusersguide160Spssbaseusersguide160
Spssbaseusersguide160
 
Database Indexes
Database IndexesDatabase Indexes
Database Indexes
 
Collections (1)
Collections (1)Collections (1)
Collections (1)
 
Indexes
IndexesIndexes
Indexes
 
introduction to spss
introduction to spssintroduction to spss
introduction to spss
 
Database index
Database indexDatabase index
Database index
 
Week 07 working with queries
Week 07   working with queries Week 07   working with queries
Week 07 working with queries
 
Database indexing framework
Database indexing frameworkDatabase indexing framework
Database indexing framework
 
Relational databases
Relational databasesRelational databases
Relational databases
 
Data preprocessing in Machine learning
Data preprocessing in Machine learning Data preprocessing in Machine learning
Data preprocessing in Machine learning
 
Index in sql server
Index in sql serverIndex in sql server
Index in sql server
 
Machine Learning (simplified)
Machine Learning (simplified)Machine Learning (simplified)
Machine Learning (simplified)
 
Database index by Reema Gajjar
Database index by Reema GajjarDatabase index by Reema Gajjar
Database index by Reema Gajjar
 
Data structure day 2
Data structure day 2Data structure day 2
Data structure day 2
 
Geek Sync | SQL Server Indexing Basics
Geek Sync | SQL Server Indexing BasicsGeek Sync | SQL Server Indexing Basics
Geek Sync | SQL Server Indexing Basics
 
7 files
7 files7 files
7 files
 
Making solubility models with reaxy
Making solubility models with reaxyMaking solubility models with reaxy
Making solubility models with reaxy
 

Viewers also liked

How to create a validation list in excel
How to create a validation list in excelHow to create a validation list in excel
How to create a validation list in excelDanny Wong
 
Data validation in web applications
Data validation in web applicationsData validation in web applications
Data validation in web applicationssrkirkland
 
Validation and Verification
Validation and VerificationValidation and Verification
Validation and Verificationmrmwood
 
Types of Data Validation
Types of Data ValidationTypes of Data Validation
Types of Data ValidationMetric Fox
 

Viewers also liked (8)

How to create a validation list in excel
How to create a validation list in excelHow to create a validation list in excel
How to create a validation list in excel
 
Validation for different kind of data
Validation for different kind of dataValidation for different kind of data
Validation for different kind of data
 
Data validation in web applications
Data validation in web applicationsData validation in web applications
Data validation in web applications
 
Data validation option
Data validation optionData validation option
Data validation option
 
Advanced Excel ppt
Advanced Excel pptAdvanced Excel ppt
Advanced Excel ppt
 
Validation and Verification
Validation and VerificationValidation and Verification
Validation and Verification
 
Validation and verification
Validation and verificationValidation and verification
Validation and verification
 
Types of Data Validation
Types of Data ValidationTypes of Data Validation
Types of Data Validation
 

Similar to Dynamic Data Validation Lists

Presentation DBMS (1)
Presentation DBMS (1)Presentation DBMS (1)
Presentation DBMS (1)Ali Raza
 
Data Analysis technique, data collection, data analysis
Data Analysis technique, data collection, data analysisData Analysis technique, data collection, data analysis
Data Analysis technique, data collection, data analysisEkta Jolly
 
Database indexing techniques
Database indexing techniquesDatabase indexing techniques
Database indexing techniquesahmadmughal0312
 
Data warehouse 17 dimensional data model
Data warehouse 17 dimensional data modelData warehouse 17 dimensional data model
Data warehouse 17 dimensional data modelVaibhav Khanna
 
Lec 3 HRA SPSS
Lec 3 HRA SPSSLec 3 HRA SPSS
Lec 3 HRA SPSSpal83111
 
Lecture 1- data preparation.pptx
Lecture 1- data preparation.pptxLecture 1- data preparation.pptx
Lecture 1- data preparation.pptxEricRajat
 
Data Never Lies Presentation for beginners in data field.pptx
Data Never Lies Presentation for beginners in data field.pptxData Never Lies Presentation for beginners in data field.pptx
Data Never Lies Presentation for beginners in data field.pptxTusharAgarwal49094
 
Web Application Development using PHP Chapter 6
Web Application Development using PHP Chapter 6Web Application Development using PHP Chapter 6
Web Application Development using PHP Chapter 6Mohd Harris Ahmad Jaal
 
Chapter 4 microsoft access 2010
Chapter 4 microsoft access 2010Chapter 4 microsoft access 2010
Chapter 4 microsoft access 2010home
 
Data warehouse 18 logical dimensional model for data warehouse
Data warehouse 18 logical dimensional model for data warehouseData warehouse 18 logical dimensional model for data warehouse
Data warehouse 18 logical dimensional model for data warehouseVaibhav Khanna
 
Beginners SPSS.ppt
Beginners SPSS.pptBeginners SPSS.ppt
Beginners SPSS.pptsayahuwaina
 

Similar to Dynamic Data Validation Lists (20)

IS100 Week 8
IS100 Week 8IS100 Week 8
IS100 Week 8
 
Presentation DBMS (1)
Presentation DBMS (1)Presentation DBMS (1)
Presentation DBMS (1)
 
Data Analysis technique, data collection, data analysis
Data Analysis technique, data collection, data analysisData Analysis technique, data collection, data analysis
Data Analysis technique, data collection, data analysis
 
Database indexing techniques
Database indexing techniquesDatabase indexing techniques
Database indexing techniques
 
Databases
DatabasesDatabases
Databases
 
Data warehouse 17 dimensional data model
Data warehouse 17 dimensional data modelData warehouse 17 dimensional data model
Data warehouse 17 dimensional data model
 
Database Management Systems.pptx
Database Management Systems.pptxDatabase Management Systems.pptx
Database Management Systems.pptx
 
Lec 3 HRA SPSS
Lec 3 HRA SPSSLec 3 HRA SPSS
Lec 3 HRA SPSS
 
Access 03
Access 03Access 03
Access 03
 
Lecture 1- data preparation.pptx
Lecture 1- data preparation.pptxLecture 1- data preparation.pptx
Lecture 1- data preparation.pptx
 
Denormalization
DenormalizationDenormalization
Denormalization
 
Sql performance tuning
Sql performance tuningSql performance tuning
Sql performance tuning
 
DATABASE MANAGEMENT SYSTEM
DATABASE MANAGEMENT SYSTEMDATABASE MANAGEMENT SYSTEM
DATABASE MANAGEMENT SYSTEM
 
Data Never Lies Presentation for beginners in data field.pptx
Data Never Lies Presentation for beginners in data field.pptxData Never Lies Presentation for beginners in data field.pptx
Data Never Lies Presentation for beginners in data field.pptx
 
Web Application Development using PHP Chapter 6
Web Application Development using PHP Chapter 6Web Application Development using PHP Chapter 6
Web Application Development using PHP Chapter 6
 
Chapter 4 microsoft access 2010
Chapter 4 microsoft access 2010Chapter 4 microsoft access 2010
Chapter 4 microsoft access 2010
 
SQL
SQLSQL
SQL
 
Data warehouse 18 logical dimensional model for data warehouse
Data warehouse 18 logical dimensional model for data warehouseData warehouse 18 logical dimensional model for data warehouse
Data warehouse 18 logical dimensional model for data warehouse
 
SQL_Part1
SQL_Part1SQL_Part1
SQL_Part1
 
Beginners SPSS.ppt
Beginners SPSS.pptBeginners SPSS.ppt
Beginners SPSS.ppt
 

Recently uploaded

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Recently uploaded (20)

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

Dynamic Data Validation Lists

  • 1. Building Solutions for Business Dynamic Content for Data Validation Lists
  • 2. Data Validation Lists Overview • Data validation provides a way to ensure the contents of the cell are restricted to specific choices in a list • Data entry by list is faster and more accurate than typing a response in a cell • It is an intuitive and familiar input method • Will increase usability of data entry forms
  • 3. The Challenge Building a drop down list based on fixed or named ranges is not flexible, and can be complex for users to manage. Data validation list can be difficult to manage when: • The source location of the list changes • New entries are added to the list
  • 4. The Solution • This deck will step through building a data validation list the traditional way • It will then use a newer more flexible, self-managing method • This method is very useful if you are distributing solutions to end users with less Excel experience
  • 5. Building a Simple List • This example will walk through building a dropdown validation list based on a range of cells • Using cell ranges allows for the content of the list to be more easily managed
  • 6. • Enter list values in a range of cells. • Click on the data validation button in the data ribbon • Select List from the Allow box
  • 7. • Select the range of cells the list will display • The list and data are now connected • Changes to the source data will be shown in the list
  • 8. Use Named Ranges • Using named ranged references for a list is a best practice strategy • From the previous example, let’s define the list of fruits with a name called “lstFruits” • The data validation will now reference the name rather than a static range of cells
  • 9. • Define a name for the range of cells using the name box to the left of the formula bar • Use the name range in the list definition
  • 10. What if the contents of list changes? • This list will need to be maintained and sorted • When adding items to a named range, you must take care that the item is picked up by the range • This level of maintenance can be time consuming and beyond the skills of some users • The answer is to create self maintaining lists
  • 11. Dynamic List Ranges To the Rescue • Let Excel automatically determine the number of rows in the list and just display those • Items can be added or removed as required without impacting the ease of maintenance
  • 12. Create the first item of list data starting at row 1 Note the old static definition of the list Change the definition of the lstFruits name to the following
  • 13. What the Formula Does =sheet3!$A$1:INDEX(sheet3!$A:$A,COUNTA(sheet3!$A:$A)) • This formula makes everything work • CountA – will count all of the non-blank rows in the column • Index – will determine the bottom of the list
  • 14. You’re Done • You can now add and change items in the list without altering name definitions or tweaking named ranged
  • 15. Building Solutions for Business For more ideas and tips visit our blog at http://www.excelgenius.ca