Statistical Analysis Toolkit

From raw CSV to publication-ready insights — upload, clean, analyze, and visualize your data with 13 integrated modules.

13
Analysis Modules
30+
Statistical Tests
15+
Chart Types
6
Distributions
📁
01

Dataset Upload

CSV & Excel support. Instant shape, types, missing values preview.

🧹
02

Data Cleaning

Imputation, normalization, encoding, before/after comparison.

🎯
03

Outlier Detection

Z-Score, IQR, Robust MAD with box/scatter/histogram plots.

📊
04

Descriptive Stats

Mean, median, variance, skewness, kurtosis. PDF report export.

📈
05

Visualization

Interactive Plotly charts — uni, bi, multivariate. PNG/PDF export.

🔔
06

Distributions

6 distributions with PDF/CDF visualizations and calculators.

📐
07

Normal Distribution

Bell curve, empirical rule, 68-95-99.7 interactive visualization.

🔄
08

CLT Simulator

Watch sampling distributions converge to normality in real time.

📍
09

Z-Score Calculator

Compute Z, locate on curve, get percentile interpretation.

✅
10

Normality Testing

Shapiro-Wilk, K-S, Anderson-Darling with Q-Q plots.

⚖️
11

Hypothesis Testing

T-tests, Z-test, ANOVA, Chi-Square, Levene's test.

📉
12

Non-Parametric

Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman.

📋
13

Report Generator

Professional PDF report covering all analyses in one document.

Dataset Upload

Upload a CSV or Excel file to begin analysis

📂

Drop file here or click to browse

Supports CSV files

Data Cleaning

Transform and clean your dataset

⚠ No dataset loaded. Please upload a dataset first.

Outlier Detection

Identify and optionally remove outliers

⚠ No dataset loaded. Please upload a dataset first.

Descriptive Statistics

Summarize your numeric data

⚠ No dataset loaded. Please upload a dataset first.

Data Visualization

Interactive charts powered by Plotly

⚠ No dataset loaded. Please upload a dataset first.

Probability Distributions

Interactive distribution explorer with formulas and visualizations

Select Distribution
Discrete

Bernoulli

Single binary trial

Binomial

n independent trials

Poisson

Events per interval

Continuous

Uniform

Equal probability in [a,b]

Exponential

Time between events

Normal (Gaussian)

Bell-shaped distribution

Bernoulli Distribution

Normal Distribution Learning Center

Visualize the bell curve, empirical rule, and standard deviations

Bell Curve Parameters
ℹ For a normal distribution: Mean = Median = Mode
68% within ±1σ
95% within ±2σ
99.7% within ±3σ
Empirical Rule (68-95-99.7)
68.27% — Within ±1σ
μ ± σ
95.45% — Within ±2σ
μ ± 2σ
99.73% — Within ±3σ
μ ± 3σ

Central Limit Theorem Simulator

Watch sampling distributions converge to normality without memory leaks

Simulation Settings
Population Distribution
Sampling Distribution of Means

Z-Score Calculator

Compute standardized scores and percentile positions

Input Values
Z-Score—
Percentile—
P(X ≤ x)—
P(X > x)—
Position on Normal Curve

Normality Testing

Statistical tests and visualizations to assess normality

⚠ No dataset loaded. You can also enter custom data below.
Data Input

Hypothesis Testing Center

Parametric statistical tests

T-Test Configuration
One-Sample Z-Test
One-Way ANOVA
Chi-Square Goodness of Fit / Independence
Levene's Test for Equality of Variances

Non-Parametric Tests

Distribution-free statistical methods

Mann-Whitney U Test
Tests whether two independent samples come from the same distribution.
Wilcoxon Signed-Rank Test
Tests whether paired differences are symmetrically distributed around zero.
Kruskal-Wallis Test
Non-parametric alternative to one-way ANOVA.
Friedman Test
Non-parametric alternative to repeated-measures ANOVA (ranks within each block/row).

Statistical Report Generator

Generate a comprehensive analysis report

Report Configuration