Compact mode
AGGREGATE vs DCOUNT vs KURT
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 typesAGGREGATEDCOUNTKURT- StatisticalKURT 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 functionAGGREGATE- Data AnalystsAGGREGATE is designed for Data Analysts. Excel functions specifically designed for data analysis and interpretation Click to see all.
- StatisticiansAGGREGATE is designed for Statisticians. Excel functions designed for statistical analysis and probability calculations Click to see all.
DCOUNTKURT
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.
DCOUNT- Database OperationsDCOUNT is known for Database Operations.
KURT- Measuring Data PeakednessKURT is known for Measuring Data Peakedness.
History Comparison
Creation Date 📅
Original release date of the Excel functionAGGREGATEDCOUNT- Excel 95DCOUNT was created in Excel 95. Functions that came with Excel 95 release Click to see all.
KURT
Facts Comparison
Interesting Fact 💡
Unique or lesser-known information about the Excel functionAGGREGATE- Combines multiple function capabilities
DCOUNT- Was created before SQL became popular
KURT- Named after mathematician Karl Pearson
Sarcastic Fact 🤣
Humorous or ironic observation about the Excel functionAGGREGATE- The Swiss Army knife of Excel functions that nobody uses
DCOUNT- The forgotten cousin of COUNT
KURT- Makes statisticians excited and everyone else confused
Usage Information Comparison
Formula Complexity Level 📖
Indicates the difficulty level and complexity of using the Excel function effectivelyFor all*
Technical Details Comparison
Input Data Type 📝
Types of data that the Excel function accepts as input parametersFor all*- NumberExcel functions specifically designed for numerical calculations
- ArrayExcel functions designed to work with arrays and ranges of data
DCOUNT- RangeDCOUNT accepts Range as input data. Excel functions that operate on cell ranges and data sets
Version Compatibility 💻
Indicates which Excel versions and platforms the function is compatible with < including Office 365< Excel 2019< 2016< etc.For all*- Excel 2019Excel functions that work specifically in Excel 2019 version
AGGREGATE- Excel 2016AGGREGATE is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
DCOUNT- Excel 97DCOUNT is compatible with Excel 97 Excel functions that work in the classic Excel 97 version
KURT- Excel 2016KURT is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
- Excel 2013KURT 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
KURT- Web ExcelKURT runs on Web Excel Excel functions available in web-based versions
Required Arguments Count 🔢
Number of mandatory arguments needed for the function to work properlyAGGREGATEDCOUNTKURTRequired 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
DCOUNT- RangeDCOUNT accepts Range as input types Excel functions that operate on cell ranges for calculations
- TextDCOUNT accepts Text as input types Excel functions specialized in text string manipulation and processing
- CriteriaDCOUNT accepts Criteria as input types Excel functions that use specific criteria for filtering and conditional operations
KURT- NumberKURT accepts Number as input types Excel functions that perform calculations specifically with numerical inputs
- ArrayKURT 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
DCOUNT- Powerful Database Functionality
- Specific Criteria Handling
- Powerful For Database Operations
- Flexible Criteria
KURT- Advanced Statistics
- Precise Calculations
- Professional
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.
DCOUNT- Complex Syntax
- Limited Visibility
- Limited To Database RangesFunctions that only work with database-style ranges, limiting data structure options Click to see all.
KURT- Complex For Beginners
- Specific Use Case
Ratings Comparison
Alternatives to AGGREGATE
COUNT
Known for Counting Numeric Cells
📊
is easier to use than AGGREGATE
⭐
is rated higher than AGGREGATE
SUMIFS
Known for Multiple Condition Sum
📊
is easier to use than AGGREGATE
SUM
Known for Basic Arithmetic Calculations
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is easier to use than AGGREGATE
🛠
is more reliable than AGGREGATE
⭐
is rated higher than AGGREGATE
COUNTIFS
Known for Multiple Criteria Counting
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is easier to use than AGGREGATE
MAXIFS
Known for Multiple Criteria Max
📊
is easier to use than AGGREGATE
SUMIF
Known for Conditional Sum Calculations
📊
is easier to use than AGGREGATE
AVERAGEIF
Known for Conditional Average Calculations
📊
is easier to use than AGGREGATE
INDEX_MATCH
Known for Two-Way Lookup Power
📊
is easier to use than AGGREGATE
⚙
performs better than AGGREGATE
🛠
is more reliable than AGGREGATE
⭐
is rated higher than AGGREGATE