5 Number Summary Calculator

Instantly calculate the Minimum, Q1, Median, Q3, and Maximum. The essential summary statistics for any dataset.

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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

R (type=7) Python NumPy Google Sheets QUARTILE.EXC
Interpolated Values
Medium Complexity

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What is the 5-Number Summary?

The Five-Number Summary is a set of descriptive statistics that provides a concise snapshot of a dataset's distribution. It was introduced by mathematician John Tukey as part of his Exploratory Data Analysis (EDA) toolkit.

The Five Components

  1. Minimum: The smallest value in the dataset. This represents the lower bound of the range (excluding outliers).
  2. First Quartile (Q1): The 25th percentile. 25% of the data falls below this value. It marks the beginning of the "middle 50%" of the data.
  3. Median (Q2): The 50th percentile. The exact middle value that separates the higher half from the lower half of the data.
  4. Third Quartile (Q3): The 75th percentile. 75% of the data falls below this value. It marks the end of the "middle 50%".
  5. Maximum: The largest value in the dataset. This represents the upper bound of the range.

Visualizing with Box Plots

The 5-number summary is the raw data used to construct a Box and Whisker Plot:

  • The Box is drawn from Q1 to Q3.
  • The Line inside the box represents the Median.
  • The Whiskers extend from the box to the Minimum and Maximum values.

Why use the 5-Number Summary?

It is superior to using just the Mean (Average) because it gives you information about the skewness and dispersion of the data.

  • If the Median is closer to Q1 than Q3, the data is positively skewed (right-skewed).
  • If the Median is closer to Q3 than Q1, the data is negatively skewed (left-skewed).
  • If the Min and Max are very far from the quartiles, it suggests the presence of outliers.

PlotNerd's 5 Number Summary Calculator instantly generates all five key statistics for quick exploratory data analysis.

๐Ÿ’ก When to Use This Tool

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Quick Exploratory Data Analysis (EDA)

Get a 5-second snapshot of data distribution before deeper analysis.

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Creating Box Plots by Hand

The 5-number summary provides all data needed to draw a box plot.

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Detecting Skewness at a Glance

If Q2 is closer to Q1 or Q3, your data is skewed left or right.

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Not for: Detailed Distribution Analysis

For fine-grained shape analysis, use a histogram or density plot instead.

Frequently Asked Questions

Statistical concepts explained in plain language

Mathematical Formulas

View the standard mathematical formulas behind the calculations