Descriptive Summary Statistics & Interactive SVG Box Plot Generator

Paste raw CSV, tabular, or numeric data to instantly compute parametric and non-parametric summary statistics: Mean, Median, Mode, Variance, Standard Deviation, Skewness, Kurtosis, and IQR. Renders publication-ready interactive SVG box plots with Tukey outlier detection.Documentation & FAQs ↓

Descriptive Summary Statistics & Interactive SVG Box Plot Generator — Interactive Console
Runs locally in your browser • Instant output
Numerical Presets
Input Dataset (Comma, space, or newline delimited numbers)20 Valid Values
Interactive Box-and-Whisker Plot (Tukey IQR Method)IQR: 50.25 · Outliers: 2
210340Min 18.5Q1 40.3Med 56.8Q3 90.5Max 145
IQR (Middle 50%)Mean (81.77)Tukey Outlier (2 detected)
Comprehensive Sample Statistics
Count (N)
20
Valid observations
Mean (x̄)
81.77
Sum: 1635.4
Median (Q2)
56.75
50th percentile
Standard Deviation (s)
75.97
Var: 5772.02
Q1 (25%)
40.25
Lower quartile
Q3 (75%)
90.50
Upper quartile
Interquartile Range (IQR)
50.25
Middle spread Q3 - Q1
Skewness (g₁)
2.477
Right-skewed
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Step-by-Step Instructions

4 Steps to Completion
1Phase 1

Paste your numeric data as comma-separated, space-separated, newline-delimited values, or upload a single-column CSV.

2Phase 2

The engine instantly parses data tokens, filters invalid values, and computes complete descriptive metrics.

3Phase 3

Inspect the 5-number summary table and examine the interactive vector box-and-whisker diagram.

4Phase 4

Hover over plot elements to view exact quartile boundaries or export the SVG chart and statistical summary report.

Practical Use Cases & Real-World Scenarios

Data Science & Exploratory Data Analysis (EDA)
Quickly inspect customer churn distributions, response times, or sensor telemetry without firing up Jupyter notebooks or Python pandas.
Academic Research & Thesis Visualization
Generate publication-ready vector box-and-whisker figures for peer-reviewed papers, lab reports, and academic presentations.
Quality Assurance & Production Tolerance Audits
Identify anomalous outlier batches in manufacturing dimensions or web server latency metrics across production deployments.
Related Editorial Guide on AnshuTechy10 Best Data Science Tools in 2026
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100% free, private in-browser utility with zero server uploads.