Excel Compatible Quartile Calculator
Get results that match Microsoft Excel perfectly. Supports QUARTILE.INC and QUARTILE.EXC logic.
๐ Excel Verification Mode
Paste Excel Data
Excel Mode Active
Verify Formula
Supported Data Formats:
- Comma-separated: 1.5, 2.8, 9.1, 16.2
- Space-separated: 1.5 2.8 9.1 16.2
- Newline-separated: one number per line
- Scientific notation: 1.23e-4, 5.67E+8
- Series mode: use "Group Name: value1, value2, value3" per line to compare multiple groups
- Automatically ignores text and special characters
Universal Standard (R, Python, Google Sheets)
Linear interpolation method, default standard for modern data science software
Your calculation results and box plot will appear here instantly
Please enter at least 4 numbers above to start calculating
Calculation Results
Basic Statistics
Quartiles
5 Number Summary
Outliers Detected
The following data points are identified as outliers using the method:
Grouped Series Summary
Enter data to generate box plot
Please enter at least 4 numbers above to start calculating
Box Plot Visualization
This box plot visualizes your data distribution. The box shows the interquartile range (IQR) containing the middle 50% of data. The line inside the box represents the median. Whiskers extend to show the range, and red dots indicate outliers.
Outlier Method: Tukey (1.5รIQR)
Box (IQR) / Legend
- Box (IQR)
- Median Line
- Whisker
- Outliers
Combined Summary
๐ ๏ธ Related Tools
Understanding Excel's Quartile Functions
Microsoft Excel is the most widely used tool for data analysis, but its quartile calculations can be confusing because it offers multiple functions that yield different results. This calculator is designed to match Excel's logic perfectly.
QUARTILE.INC vs. QUARTILE.EXC
Since Excel 2010, Microsoft has provided two distinct functions to replace the legacy `QUARTILE` function:
1. QUARTILE.INC (Inclusive)
This is the default behavior of the legacy `QUARTILE` function. It uses an (N-1) basis for interpolation.
- Logic: It assumes the minimum value is the 0th percentile and the maximum value is the 100th percentile.
- Use Case: Best for everyday business reporting and when you want to ensure the percentiles fall within the range of your data.
- Python Equivalent: `numpy.percentile(data, q, method='linear')` (Default in older NumPy versions, but now often referred to as 'linear' on 0-100 scale).
2. QUARTILE.EXC (Exclusive)
This function uses an (N+1) basis for interpolation.
- Logic: It excludes the 0th and 100th percentiles, effectively assuming the data represents a sample from a larger population.
- Limitation: It cannot calculate quartiles for very small datasets (e.g., N < 4) because the required interpolation points would fall outside the data range.
- Use Case: Preferred by some statisticians for inferential statistics.
Why use this Online Excel Calculator?
If you don't have Excel installed, or if you are on a mobile device, this tool allows you to verify QUARTILE.INC results instantly. It is particularly useful for:
- Verifying spreadsheet formulas without opening Excel.
- Comparing Excel's output against R or Python standards.
- Visualizing the data with a box plot (which Excel requires multiple steps to create).
PlotNerd's Excel Quartile Calculator is specifically programmed to match Excel's QUARTILE.INC logic, making it perfect for verifying Excel results or calculating quartiles when you don't have access to Excel.
Better Than Excel's Box Plot?
While Excel is great for spreadsheets, creating a Box and Whisker Plot can be frustrating. You have to format data perfectly, select specific columns, and even then, customizing the outlier logic is difficult.
PlotNerd vs. Excel Box Plots:
- Speed: PlotNerd generates a box plot instantly from raw text. Excel requires data formatting and multiple clicks.
- Transparency: We show you the exact Q1, Median, and Q3 values. Excel's chart often hides the underlying numbers.
- Flexibility: Switch between inclusive (Excel default) and exclusive (scientific) methods with one click.
๐ก When to Use This Tool
Verifying Excel QUARTILE.INC Results
Double-check your Excel formulas or validate results without opening a spreadsheet.
Business Reports That Must Match Excel
Ensure consistency when your stakeholders use Excel for their analysis.
Mobile Users Without Excel Access
Calculate Excel-compatible quartiles on your phone or tablet instantly.
Not Recommended: QUARTILE.EXC with Small Datasets
For datasets with N < 4, use QUARTILE.INC (excel_inclusive) instead.
๐ Related Tools & Resources
Tukey Hinges Calculator
Compare Excel's algorithm with classic Tukey's Hinges method
โ Compare with TukeyIQR Calculator
Calculate IQR using Excel's quartile method for consistency
โ Calculate IQR5 Number Summary
Get complete Min, Q1, Median, Q3, Max using Excel's algorithm
โ Get 5-number summaryExcel vs R vs Python Quartiles
Deep dive into why Excel, R, and Python calculate different values
โ Read comparisonAlgorithm Comparison Table
See where Excel's Type 7 fits among all 9 algorithm types
โ View comparisonUniversal Calculator
Compare Excel's results with Tukey, R, and SPSS in real-time
โ Try all methodsFrequently Asked Questions
Statistical concepts explained in plain language
Mathematical Formulas
View the standard mathematical formulas behind the calculations
Quartile Calculation (Method 2)
First Quartile (Q1):
Median (Q2):
Third Quartile (Q3):
Interquartile Range & Outlier Detection
Interquartile Range (IQR):
Outlier Boundaries:
Algorithm Explanation
PlotNerd uses the statistically standard "Method 2 (Median Quartile Method)" for quartile calculations, consistent with major statistical software (such as R, SPSS). All calculation results are verified against authoritative platforms to ensure accuracy.