Data Analysis Software
Complete List of Features

Ellistat Data Analysis is the statistical analysis module of the Ellistat suite: a web-based software application that automatically selects the appropriate test, verifies its validity conditions, and guides interpretation—all without requiring prior statistical expertise. It offers an alternative to Minitab, JMP, or Statistica for analyzing quality and process data.

Discover Data Analysis

Key Points at a Glance

Ellistat Data Analysis covers nine areas: data management, descriptive statistics and capability analysis, hypothesis testing, equivalence testing, multivariate statistics, experimental designs, machine learning, optimization (including sequential Bayesian optimization), MSA/Gage R&R, and reliability (Weibull, Kaplan-Meier, accelerated testing, warranty tracking).

Five features have no equivalent in Minitab: sequential Bayesian optimization, Gaussian process mixture optimization, stress-strain analysis, warranty return tracking control charts, and automatic test selection with validity condition checking.

Test under real conditions

For us, the best way to prove that Ellistat is simple, ergonomic and complete is to let you test it for free for 1 month with your data and with your colleagues!

Demo version

Complete Feature Chart

Designed to meet specific industry needs

Badge Web-only : Feature available only in the web version (not available in the desktop version)

Field	Feature	Equivalent Terms (FR / EN)	Methods, Laws, Standards, and Details
Data management	Multi-user Shared Projects Web-only	Collaboration, project sharing	Private or public sharing, web application
	Multiple Data Tables per Project	Data sheets, worksheets, data grids	Built-in spreadsheet: data entry, copy-and-paste like in Excel, fill handle
	Import from Excel and CSV	Data import, spreadsheet import	Multi-sheet, CSV transposition option
	Importing Zeiss Directories	MMT Import, CMM Data Import	Importing a complete set of .txt files from a coordinate measuring machine
	Importing Ellistat Desktop Projects	Migration, .eli2	Data Import, Columns, and Gage R&R Studies
	Direct export from the SPC / IQC modules Web-only	Quality MES Integration, Closed-Loop Data	Right-click on any SPC chart or control → «Export to Data Analysis»
	Data Cleaning	Data cleaning, data wrangling	Right-click menu: duplicates, missing values, formats, column generation and calculation
	Classification and Tolerances by Characteristic	Column metadata	Nominal value, tolerances, control limits, target, distribution law, short-term indicator
Descriptive Statistics & Capability	Analysis of a Characteristic	Descriptive statistics, process capability report	Summary, histogram, Henry's line, timeline, detection rules
	Short-Term and Overall Capabilities	Process Capability, Cp, Cpk, Pp, Ppk	Distinction between short-term and overall dispersion; centering on the mean or the target
	Fitting Distribution Laws	Distribution fitting, identification of a distribution	Continuous and discrete laws, suitability tests, values outside the tolerance range
	Attribute Control Charts	Attribute control charts	P, NP, C, U, and Laney P′ / U′ (overdispersion)
	Fourier decomposition	Spectral analysis	Detection of Periodic Patterns in a Production Signal
	Tolerance range	Confidence interval, tolerance interval, 95/95	ISO 16269-6:2014, parametric and nonparametric cases, one-tailed and two-tailed, S-method or sigma method, multiple samples
	Prediction interval	Prediction interval	ISO 16269-8:2004, a finite-size, uniform, and bilateral future population
	Control Chart Limits Calculator	Control chart design, efficiency curve	Determining the Size of a Board Before Assembly
	Sampling Plan Calculators	Acceptance sampling, acceptance inspection plans	Attributes and measurements, ISO 2859 / ISO 3951 standards
Hypothesis Testing	Automatic Test Selection Web-only	Statistical Assistant, Automated Test Selection	Customized tests proposed and calculated from the outset: position, scale, and spread all on one screen; validity conditions checked automatically
	Comparison of Positions	Comparison of Means, t-Test, ANOVA	Theoretical z and t, z-test, t-test, paired t-test, ANOVA, paired ANOVA
	Comparison of Scales	Comparison of variances, equality of variances	Chi-square, F-test, Fligner-Killeen, Bartlett, Levene, MAD permutation
	Comparison of Distributions Web-only	Goodness of fit between samples	Cramér-von Mises, energy test
	Rank Tests (Nonparametric)	Nonparametric tests	Signs, Wilcoxon, Mann-Whitney, B to C, Kruskal-Wallis, Paired Friedman
	Frequency Tests	Comparison of Proportions, Proportion Tests	1P, 2P, Chi²
	Multiple Comparisons	Post-hoc, pairwise comparisons	Pairwise comparisons following ANOVA or the Kruskal-Wallis test
	Tests on Summary Statistics	Summary Statistics Tests	Without raw data: given n, mean, standard deviation
	Power and Sample Size	Power analysis, sample size calculation	Effect expressible in units, average %, sigma multiples, or % of the tolerance interval
	Dichotomous search	Variable search (Shainin), sequential bifurcation, BOB/WOW variable search	Up to 8 suspected factors: BOB/WOW reference tests, sequential branching, ±2σ half-band (σ derived from the gap = 6σ or entered), handling of indecisive tests, complete 2² factorial confirmation design on the surviving factors, analysis of effects and ANOVA, diagnosis, transfer to a grid
	Shainin Tools	Shainin Problem Solving	BOB vs. WOW, component swapping, multi-vari
Equivalence Testing	Equivalence of Means Web-only	TOST, two one-sided tests, equivalence testing	For a single target or between two samples, whether paired or independent
	Equivalence of variances Web-only	Scale equivalence, variance ratio	Zone of indifference [1/R; R], logarithmic scale
	Equivalence of Proportions Web-only	Non-inferiority of proportions	Wilson score (target), Farrington-Manning (2 samples)
	Non-inferiority and non-superiority Web-only	Non-inferiority and non-superiority testing	Three selectable alternative hypotheses; a «difference × equivalence» decision matrix with an “undecided” case»
	Design Assistance Web-only	Sample size for equivalence	Smallest δ that can be demonstrated with the current sample size; sample size required for a given δ; δ in % within the tolerance interval
Multivariate Statistics	Principal Component Analysis	ACP, PCA, principal component analysis	Correlation Circle, Pareto Chart of Eigenvalues, Illustrative Additional Variables, Labels
	Multiple correspondence analysis	ACM, MCA	Qualitative variables
	Factor Analysis of Mixed Data Web-only	FAMD, factor analysis of mixed data	Quantitative and Qualitative Variables Combined
	Hotelling's T² statistic	Hotelling T-squared, multivariate test	Multivariate Detection of Atypical Points
	Unsupervised classification	Clustering, K-means, segmentation	Choice of K, reproducibility, 2D/3D PCA projections, variable-based discrimination tests (Fisher, Kruskal-Wallis)
	Hierarchical Classification	Dendrogram, hierarchical clustering	On individuals or on variables
Experimental Designs	Flight Comparison Tool	DOE Assistant, Design Selection	For a given factors/interactions configuration, a list of possible designs ranked by quality (stars)
	Taguchi 2-Level Factorial Designs	Fractional factorial designs, Taguchi tables	L4 through L32, interaction table, alias table, III/IV/V resolutions
	Multilevel Plans	Mixed-level designs, general full factorial	Whole or fractional: L4, L8, L9, L12, L16, L18, L25, L27…
	Screening Plans	Screening Designs	L12, L20, Definitive Screening Design (DSD3 through DSD12) — up to 19 factors in 20 trials
	Response Areas	RSM, response surface methodology	Center-weighted (α setting), hybrid, center-weighted
	D-Optimal Plans	D-optimal designs, custom plans	Constrained construction, correlation matrix of terms
	Mixing Plans	Mixture designs, formulation plans	Components totaling 100 %
	Filling Diagrams Web-only	Space-filling designs, Latin hypercube, Latin hypercube	Audze-Eglais criteria (overall coverage) and MaxPro (quality of projections in lower dimensions, suitable for screening), optimization via simulated annealing, Latin hypercube property
	Smart-Design Plans Web-only	OMARS Plan	Highly reduced systems that allow for factors completely independent of second-order terms
	Analysis of Plans	DOE analysis, effects plot	Automatic recognition of Taguchi designs, effect and interaction graphs, and multilevel analysis
Machine Learning	Multiple Linear Regression	Multiple linear regression, GLM	Coefficients, p-values, R², VIF, quadratic terms and interactions, forward/backward stepwise selection, best subset
	Binary and Multinomial Logistic Regression	Logistic regression, classification	Odds ratios with 95% CI (%), pseudo-R² (McFadden, Cox & Snell, Nagelkerke), global likelihood ratio tests, automatic switch to multinomial model
	PLS Regression	Partial Least Squares	Selection of the number of components based on R², coefficients with VIF
	K-OPLS Regression Web-only	OPLS Kernel, Kernel Regression	Gaussian RBF kernel, predictive and orthogonal components, automatic search for the best kernel and configuration
	Gaussian process Web-only	Gaussian process regression, kriging	Prediction with a confidence interval at any point, suitable for small samples
	Neural network	Neural network, MLP, deep learning	Multilayer perceptron: ReLU activation, configurable layers, learning rate with scheduler, mini-batches, L2 regularization, loss curve
	Decision Tree	Decision tree, CART	Gini index or entropy, depth, and minimum number of nodes; readable rules with impurity per node
	Random Forest Web-only	Random Forest	Bootstrap, feature importance
	SVM	Support Vector Machine	RBF kernel, C and gamma settings, maximum margin
	K closest neighbors	KNN, k-nearest neighbors	Classification by Similarity
	Model Validation Web-only	Train/test split, overlearning, overfitting control	Test lines, predicted/observed plot, confusion matrix, levers vs. residuals, normality of residuals, prediction with confidence intervals, 3D and 5D response surfaces
Optimization	Multi-response optimization	Multi-response optimization, desirability	Desirability functions (target, maximize, minimize, bound), weights, global optimization, interactive sliders
	Sequential Bayesian Optimization Web-only	Bayesian optimization, active learning, sequential DOE, alternative to the simplex method	Anisotropic Matérn 5/2 Gaussian Process (ARD), initial Audze-Eglais plan, conservative/balanced/exploratory strategies, process noise management, explained trial proposals with expected gain, convergence detection, leave-one-out diagnostics (Q², RMSE, MAE, 95% coverage %), factor sensitivity, demo mode
	Bayesian Optimization of Mixtures Web-only	Formulation optimization, mixture Bayesian optimization	Simple domain, maximin initial plan, ternary diagram with unfeasible regions, feasibility check of bounds, correction of invalid trials
MSA — Analysis of Measurement Methods	Gage Linearity	Bias study, Cg Cgk, instrument capability	Deviation from True Value, Cg and Cgk, Accuracy Plot
	Custom R&R Gage	Repeatability and reproducibility, Gauge R&R study, MSA	Analysis of Variance (ANOVA), two reference groups (tolerance and process), charts by operator and by part
	R&R Analysis by Attribute	Attribute agreement analysis, visual inspection	Kappa between inspectors and the standard, overall agreement, effectiveness, error and false alarm rates, stricter/less strict bias
	Linearity	Linearity Gage	Measurement Range Bias
	Inertia	Inertial Approach	Combines accuracy and repeatability in a single indicator; minimal tolerance range controllable by the instrument
	Selection of the Standard	MSA Reference Standard	Configuring the Selected Calculation Model
Reliability	Sizing of Demonstration Tests	Reliability Demonstration Test Design, Validation Plan	Test plan (0 failures), chi-square plan (cumulative hours), MTTF plan, time to k failures; calculation of the variable selected by «padlock»
	Stress-Strain Analysis	Stress-Strength Interference	Theoretical laws (including the trapezoidal rule) or experimental data, failure rate by overlap
	Estimation of Life-Time Distributions	Weibull analysis, life data analysis, survival analysis	2- and 3-parameter Weibull (δ parameter), maximum likelihood or regression, CI, Anderson-Darling, Weibull paper, failure rate (hazard), MTTF/MTBF
	Kaplan-Meier	Nonparametric survival curve, survival analysis	With censoring; survival comparison between two populations (suppliers, versions)
	Censored data, 5 input formats	Censored data, field return data, warranty data	Values + censoring, periods + censoring, sale/return dates, sale date + downtime (km), Nevada triangle for service returns
	Tracking Warranty Returns Web-only	Warranty tracking, actual vs. expected after-sales service returns	Actual Returns vs. Expected Returns Based on Established Principles, Adjusted for the Guarantee Period
	Return Control Charts Web-only	Warranty control charts (exclusive)	Division of Nevada into zones: proportion of returns, change in β, reliability by zone; readings by diagonal (age), column (seasonality), row (batch); distinction between aging in stock and aging in service
	Accelerated Testing	Accelerated life testing (ALT), aging tests	Arrhenius (activation energy), Eyring, inverse-power law, Peck, Coffin-Manson, Basquin; two combined constraints; acceleration factor, log-log graph
Graphics	Contextual Catalog	Data visualization	Only the charts relevant to the selection are displayed
	Proportions	Camembert, Pareto chart	Camembert chart, bar chart, Pareto chart with cumulative values, table
	Populations	Box plot, violin plot	Box-and-whisker plot, violin plot, histogram, line chart, control chart, Better to Current, ogive, ROC curve
	Relationships	Scatter plot	XY cloud, marginal distribution, regression, multi-X, and multi-Y
	Multivariate Analysis with Integrated ANOVA	Multi-vari chart, multivari graph	Graphical decomposition of variability across variation families, with analysis of variance as the associated statistical evidence
	Attached statistical evidence	Graphs with statistical evidence	Each graphical comparison can display the associated statistical test (including paired tests)

Your Feedback

As part of the continuous improvement cycle of our product offering, both in the development and production phases, I wanted to develop a number of quality tools within the WIRQUIN Group. To achieve this, and given the stakes involved, it quickly became apparent that a data processing software package was essential to increase efficiency. I quickly chose Ellistat because of its numerous on-board functions and its easy access, even if the algorithms behind it are not so easy! What's more, its floating, rather than individual, licensing principle means a rapid return on investment. Don't ask me how we'd do without Ellistat now - I can't answer that question!

Laurent SALZAT

Group QESH Manager, WIRQUIN

Complete, powerful, efficient and impressively simple! A must-have for anyone who needs to have their data analyzed.

Ralph SPRUNGER

Laboratory & Quality Manager, DUBOIS DEPRAZ

Ellistat, an intuitive statistical tool!

Vincent GELLY

Quality Manager, SAINT GOBAIN

A complete, modular solution
for industry 4.0

6 integrated statistical modules

Descriptive statistics module, capability and control chart showing the new Ellistat online Data Analysis application and MSP use

Try before you buy

Demonstration
15-day trial / 1 year for students
0€
/ month
- SPC
- Statistical Analysis
- Experimental Design
- MSA
- Graphical Analysis
- Machine Learning
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Standard
The best in commitment-free data analysis
95€
/ logged-in user / month
- SPC
- Statistical Analysis
- Experimental Design
- MSA
- Graphical Analysis
- Machine Learning
- Technical support
- Updates
- Unlimited number of users
- Tacit renewal subscription
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Annual
The best in data analysis (2 months free)
950€
/ connected user / year
- SPC
- Statistical Analysis
- Experimental Design
- MSA
- Graphical Analysis
- Machine Learning
- Technical support
- Updates
- Unlimited number of users
- Tacit renewal subscription
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