FILTER vs FREQUENCY vs FORECAST
Compact mode

FILTER vs FREQUENCY vs FORECAST

Basic Classification Comparison

  • Function Category 📊

    Primary classification of the Excel function based on its main purpose and usage domain, helps users quickly identify function types
    FILTER
    FREQUENCY
    • Statistical
      FREQUENCY belongs to the Statistical category. Excel functions for statistical analysis and calculations
    FORECAST
    • Statistical
      FORECAST 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 inputs
    FILTER
    • Manipulation
      FILTER performs Manipulation operations. Functions that modify and transform data in different ways
    FREQUENCY
    • Calculation
      FREQUENCY performs Calculation operations. Excel functions for performing various calculations
    FORECAST
    • Calculation
      FORECAST performs Calculation operations. Excel functions for performing various calculations

Basic Information Comparison

  • Known For

    Distinctive characteristic or primary strength of the Excel function
    FILTER
    • Advanced Filtering
      FILTER is known for Advanced Filtering.
    FREQUENCY
    • Distribution Analysis
      FREQUENCY is known for Distribution Analysis.
    FORECAST
    • Linear Trend Prediction
      FORECAST is known for Linear Trend Prediction.

Facts Comparison

  • Interesting Fact 💡

    Unique or lesser-known information about the Excel function
    FILTER
    • Revolutionized Excel data filtering
    FREQUENCY
    • Essential for histogram creation
    FORECAST
    • Based on least squares regression method
  • Sarcastic Fact 🤣

    Humorous or ironic observation about the Excel function
    FILTER
    • The Marie Kondo of Excel functions
    FREQUENCY
    • The function statisticians dream about
    FORECAST
    • The crystal ball of Excel functions

Usage Information Comparison

Technical Details Comparison

  • Input Data Type 📝

    Types of data that the Excel function accepts as input parameters
    FILTER
    FREQUENCY
    FORECAST
    • Number
      FORECAST 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.
    For all*
    • Excel 2019
      Excel functions that work specifically in Excel 2019 version
    FILTER
    • Microsoft 365
      FILTER is compatible with Microsoft 365 Excel functions optimized for the latest Microsoft 365 platform
    FREQUENCY
    • Excel 2016
      FREQUENCY is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
    FORECAST
    • Excel 2016
      FORECAST is compatible with Excel 2016 Excel functions that work specifically in Excel 2016 version
    • Excel 2013
      FORECAST 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 platforms
    For all*
    • Windows
      Excel functions optimized for Windows operating system
    • MacOS
      Excel functions optimized for MacOS users
    FILTER
    • Excel Online
      FILTER runs on Excel Online Excel functions available in the online version of Excel
    • Web Excel
      FILTER runs on Web Excel Excel functions available in web-based versions
    FORECAST
    • Web Excel
      FORECAST runs on Web Excel Excel functions available in web-based versions
  • Required Arguments Type 📊

    The data types accepted as valid input arguments for the function
    For all*
    • Array
      Excel functions that specifically work with array inputs for calculations
    FILTER
    • Range
      FILTER accepts Range as input types Excel functions that operate on cell ranges for calculations
    • Boolean
      FILTER accepts Boolean as input types Excel functions that work with true/false logical inputs for decision-making
    FREQUENCY
    • Range
      FREQUENCY accepts Range as input types Excel functions that operate on cell ranges for calculations
    FORECAST
    • Number
      FORECAST accepts Number as input types Excel functions that perform calculations specifically with numerical inputs

Evaluation Comparison

  • Pros

    Key advantages and strengths of the Excel function
    FILTER
    • Dynamic Filtering
      Functions that enable real-time filtering of data based on changing criteria
    • Multiple Criteria
    • Flexible Output
    • Returns Dynamic Arrays
    • Flexible Filtering
    FREQUENCY
    • Powerful Statistical Analysis
    • Array Output
    FORECAST
    • Statistical Accuracy
      Excel functions with high statistical accuracy ensure precise mathematical and analytical results
    • Trend Analysis
    • Professional
    • Scientific Prediction
    • Based On Historical Data
      Functions that analyze and process historical time-series data
  • Cons

    Limitations and potential drawbacks of the Excel function
    FILTER
    FREQUENCY
    • Must Be Entered As Array Formula
    • Complex Usage
    FORECAST
    • Assumes Linear Relationship
    • Complex Setup
    • Sensitive To Outliers

Ratings Comparison

Alternatives to FILTER
UNIQUE
Known for Duplicate Removal
📊 is easier to use than FILTER
SORT
Known for Dynamic Sorting
📊 is easier to use than FILTER
XLOOKUP
Known for Dynamic Array Support
🔢 needs fewer arguments than FILTER
📊 is easier to use than FILTER
is rated higher than FILTER
SEQUENCE
Known for Dynamic Number Series
performs better than FILTER
COUNT
Known for Counting Numeric Cells
📊 is easier to use than FILTER
CONCAT
Known for Modern Text Joining
📊 is easier to use than FILTER
performs better than FILTER
INDEX_MATCH
Known for Two-Way Lookup Power
🔢 needs fewer arguments than FILTER
📈 is more versatile than FILTER
performs better than FILTER
🛠 is more reliable than FILTER
is rated higher than FILTER
TRANSPOSE
Known for Converting Row Data To Columns
📊 is easier to use than FILTER
INDEX
Known for Advanced Data Retrieval
🔢 needs fewer arguments than FILTER