Advanced Statistical Analysis and Data Exploration
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Accelerate your data exploration and analysis workflows.
Focus on insights instead of code or manual manipulation.
Ultra-fast exploration:
Comprehensive descriptive statistics (mean, median, quartiles, skewness, kurtosis, distributions) in one click, with automatic outlier detection.
Powerful multivariate analysis:
Normalized or standardized PCA, scree plots, variable and individual contributions, interactive correlation circles, and biplots to quickly identify patterns and relationships.
Robust statistical testing:
One-way and multi-factor ANOVA, MANOVA, post-hoc tests (Tukey, Bonferroni), and assumption checks (normality, homoscedasticity), with clearly explained results.
Smooth workflow:
Built-in basic data cleaning (missing values handling, automatic type detection), fast filtering and subsetting, and analysis history for reproducibility.
Ready-to-use RFM customer segmentation:
Automatic scoring, actionable segment definitions, migration visualizations, and direct export to BI or CRM tools.
Seamless integration with your stack:
Clean CSV/Excel exports, high-resolution charts (PNG/SVG), and PDF reports including methodology and interpretation for stakeholders.
The tools you use every day
10× faster
Advanced descriptive statistics
Per variable and per group, with normality tests and anomaly detection.
Correlation matrices & heatmaps:
Pearson, Spearman, Kendall — instantly visualized and exportable.
Full PCA:
Choice of centering/scaling, optional rotation, clear vector correlation circles, and interactive biplots.
ANOVA / MANOVA:
Detailed outputs (F-statistic, p-value, effect size η²), classic ANOVA tables, and natural-language interpretation.
RFM for customer analytics:
Automatic scoring with direct business insights (e.g. “12% of at-risk customers represent 28% of revenue”).
Other essentials:
Simple and multiple linear regressions, non-parametric tests (Kruskal-Wallis, Chi-square), basic clustering.
Reporting & sharing:
Automatic narrative reports plus optional equivalent Python/R code for power users.