A comprehensive tool for statistical analysis and visualization
Data Import
Import CSV Data
Upload a CSV file with the following format:
Row 1: Column Headers
Row 2: Data Types
k = Categorical (Nominal scale)
o = Ordinal (Ordinal scale, e.g., 1-5 ratings)
i = Interval (Interval scale, e.g., temperature)
r = Ratio (Ratio scale, e.g., age, weight)
Row 3+: Data Rows
Delimiter: Semicolon (;) or Comma (,) | Decimal: Comma (,) or Point (.)
Processing data...
⚠️ Data Validation Warnings
Data Preview
Define Subgroups
Parameter Constellations
Define reusable parameter combinations that can be used in multiple groups (optional):
Create subgroups by combining parameter constellations and/or individual conditions:
Analysis Results
Group Overview
Statistical Metrics for All Parameters
Export Group Overview
Detailed Parameter Analysis
ⓘ
Select a numeric parameter (ordinal, interval, or ratio scale) to
view detailed statistics across all groups
Mean Values with Error Bars
Distribution Comparison
Data Distribution Analysis
Select Groups to Display:
Detailed Statistics
Statistical Significance Tests
Test Prerequisites
ⓘ
Shapiro-Wilk test for samples n ≤ 50. Tests if data
follows normal distribution. Required for parametric tests like t-test and
ANOVA.
ⓘ
F-test for 2 groups. Tests if groups have equal
variances. Important for choosing between standard t-test and Welch's
t-test.
ⓘ
Two-sided: Tests if groups are different
Left-sided: Tests if Group 1 < Group 2
Right-sided: Tests if Group 1 > Group 2
Note: Only applicable for certain tests
ⓘ
Enable this to run tests even when assumptions are violated.
Results will include warnings about which assumptions were not met.
Select Groups for Comparison:
Export Test Results
Custom Visualization
ⓘ
Linear: y = ax + b
Polynomial: y = ax² + bx + c
Logarithmic: y = a·ln(x) + b
Exponential: y = a·e^(bx)
Fourfold Table Analysis
Select two parameter constellations for comparison:
Export Fourfold Table
Export Data
Data Export
Export the grouped analysis as a CSV file:
Comprehensive Report
Export all analysis results in a single report:
About Statistical Research Analyzer
This application is designed for statistical analysis of research data, allowing for subgroup
definition, statistical testing, and visualization of results. All processing is done locally in
your browser - no data is sent to any server.
Features:
Support for multiple scale types (nominal, ordinal, interval, ratio)