Compact mode
AGGREGATE vs LAMBDA vs MODE
Table of content
Basic Classification Comparison
Function Category 📊
Primary classification of the Excel function based on its main purpose and usage domain, helps users quickly identify function typesAGGREGATELAMBDAMODE- StatisticalMODE belongs to the Statistical category. Excel functions for statistical analysis and calculations
Operation Type 🔧
Fundamental type of operation or action that the Excel function performs on its inputsFor all*- CalculationExcel functions for performing various calculations
Usage Context Comparison
For whom 👥
Target user groups who would benefit most from using this Excel functionFor all*AGGREGATELAMBDAMODEPurpose 📝
Primary purposes and use cases of the Excel functionAGGREGATELAMBDA- Data AnalysisLAMBDA is used for Data Analysis. Functions specifically designed for analyzing data Click to see all.
- Custom FunctionsLAMBDA is used for Custom Functions. Functions that allow user-defined custom calculations Click to see all.
MODE
Basic Information Comparison
Known For ⭐
Distinctive characteristic or primary strength of the Excel functionAGGREGATE- Advanced Calculations With OptionsAGGREGATE is known for Advanced Calculations With Options.
LAMBDA- Custom Function CreationLAMBDA is known for Custom Function Creation.
MODE- Finding Most Frequent ValueMODE is known for Finding Most Frequent Value.
History Comparison
Facts Comparison
Interesting Fact 💡
Unique or lesser-known information about the Excel functionAGGREGATE- Combines multiple function capabilities
LAMBDA- Brings programming concepts to Excel
MODE- One of the original statistical functions
Sarcastic Fact 🤣
Humorous or ironic observation about the Excel functionAGGREGATE- The Swiss Army knife of Excel functions that nobody uses
LAMBDA- Like teaching Excel to speak programmer
MODE- Finds the popularity contest winner in your data
Usage Information Comparison
Formula Complexity Level 📖
Indicates the difficulty level and complexity of using the Excel function effectivelyAGGREGATELAMBDAMODE
Technical Details Comparison
Input Data Type 📝
Types of data that the Excel function accepts as input parametersFor all*AGGREGATE- NumberAGGREGATE accepts Number as input data. Excel functions specifically designed for numerical calculations
LAMBDA- AnyLAMBDA accepts Any as input data. Excel functions that can handle multiple types of input data
MODE- NumberMODE accepts Number as input data. Excel functions specifically designed for numerical calculations
Version Compatibility 💻
Indicates which Excel versions and platforms the function is compatible with < including Office 365< Excel 2019< 2016< etc.AGGREGATE- Excel 2019AGGREGATE is compatible with Excel 2019 Excel functions that work specifically in Excel 2019 version
- Excel 2016AGGREGATE is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
LAMBDA- Microsoft 365LAMBDA is compatible with Microsoft 365 Excel functions optimized for the latest Microsoft 365 platform
MODE- Excel 2019MODE is compatible with Excel 2019 Excel functions that work specifically in Excel 2019 version
- Excel 2016MODE is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
- Excel 2013MODE is compatible with Excel 2013 Excel functions that work specifically in Excel 2013 version
Operating System 💾
Specifies the operating systems where the function can be used < including Windows< macOS< and web platformsFor all*- WindowsExcel functions optimized for Windows operating system
- MacOSExcel functions optimized for MacOS users
LAMBDA- Excel OnlineLAMBDA runs on Excel Online Excel functions available in the online version of Excel
MODE- Web ExcelMODE runs on Web Excel Excel functions available in web-based versions
Required Arguments Count 🔢
Number of mandatory arguments needed for the function to work properlyAGGREGATELAMBDAMODERequired Arguments Type 📊
The data types accepted as valid input arguments for the functionAGGREGATE- NumberAGGREGATE accepts Number as input types Excel functions that perform calculations specifically with numerical inputs
- RangeAGGREGATE accepts Range as input types Excel functions that operate on cell ranges for calculations
LAMBDA- ArrayLAMBDA accepts Array as input types Excel functions that specifically work with array inputs for calculations
- AnyLAMBDA accepts Any as input types Excel functions that can process multiple types of input arguments without restrictions
MODE- NumberMODE accepts Number as input types Excel functions that perform calculations specifically with numerical inputs
- ArrayMODE accepts Array as input types Excel functions that specifically work with array inputs for calculations
Evaluation Comparison
Pros ✅
Key advantages and strengths of the Excel functionAGGREGATE- Versatile Calculation Options
- Ignores ErrorsExcel functions that skip over errors maintain formula continuity without breaking calculations
LAMBDA- Reusable CodeExcel functions with reusable code enable efficient formula implementation across different scenarios
- Custom FunctionsFunctions that allow user-defined customization and operations
- Recursive Capability
- Reusable Custom Functions
- Reduces Complexity
MODE- Easy Statistical Analysis
- Quick Results
- Reliable
Cons ❌
Limitations and potential drawbacks of the Excel functionAGGREGATE- Complex Parameter RequirementsFunctions that need detailed parameter setup for operation, requiring specific input formats Click to see all.
- Steep Learning CurveFunctions that require significant time and effort to master Click to see all.
LAMBDA- Steep Learning CurveFunctions that require significant time and effort to master Click to see all.
- Modern Excel Only
- Recent Addition
- Advanced ConceptFunctions that require advanced Excel knowledge and complex understanding to use effectively Click to see all.
MODE- Only Works With Numbers
- Limited To Single Mode
Ratings Comparison
Alternatives to AGGREGATE
FILTER
Known for Advanced Filtering
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needs fewer arguments than LAMBDA
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is easier to use than LAMBDA
🛠
is more reliable than LAMBDA
⭐
is rated higher than LAMBDA
SEQUENCE
Known for Dynamic Number Series
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is easier to use than LAMBDA
⚙
performs better than LAMBDA
🛠
is more reliable than LAMBDA
⭐
is rated higher than LAMBDA
INDEX
Known for Advanced Data Retrieval
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needs fewer arguments than LAMBDA
SUMIFS
Known for Multiple Condition Sum
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needs fewer arguments than LAMBDA
📊
is easier to use than LAMBDA
SUM
Known for Basic Arithmetic Calculations
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is easier to use than LAMBDA
🛠
is more reliable than LAMBDA
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is rated higher than LAMBDA
UNIQUE
Known for Duplicate Removal
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is easier to use than LAMBDA
🛠
is more reliable than LAMBDA
⭐
is rated higher than LAMBDA
COUNT
Known for Counting Numeric Cells
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is easier to use than LAMBDA
🛠
is more reliable than LAMBDA
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is rated higher than LAMBDA
AVERAGEIFS
Known for Multiple Criteria Based Average
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needs fewer arguments than LAMBDA
📊
is easier to use than LAMBDA
TEXTJOIN
Known for Advanced Text Combining
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needs fewer arguments than LAMBDA
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is easier to use than LAMBDA
SORT
Known for Dynamic Sorting
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is easier to use than LAMBDA
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is rated higher than LAMBDA