XLSTAT is a comprehensive statistical software that integrates seamlessly with Microsoft Excel. Designed for researchers, analysts, and students, it enhances Excel's capabilities by adding a wide range of statistical functions and data analysis options. Its intuitive interface makes it easy to run complex calculations without leaving the familiar Excel environment.

XLSTAT covers various fields such as marketing, finance, life sciences, and engineering. It includes methods like regression, ANOVA, principal component analysis, time series analysis, and machine learning. Each method is supported by step-by-step guides and detailed results, making it suitable for both beginners and experienced users.

Customization is a key strength of XLSTAT. Users can select exactly the modules they need, helping to streamline their workflow and reduce clutter. The add-in is designed to handle large datasets efficiently, offering fast processing times and clear outputs in Excel format.

XLSTAT is updated regularly to stay current with modern statistical techniques and user expectations. Its support team and online resources provide quick help when questions arise. With its seamless Excel integration and wide-ranging analytical capabilities, XLSTAT is a valuable companion for professionals and academics seeking in-depth data analysis directly within a spreadsheet platform.

Key Features:

• Wide Range of Statistical Tests: Offers over 240 standard and advanced statistical tools, including ANOVA, regression, PCA, correlation, and clustering.
• Data Visualization: Includes customizable charts, heatmaps, dendrograms, and 3D plots for intuitive presentation of results.
• Machine Learning: Supports classification, regression, and predictive modeling using algorithms like decision trees, k-NN, and support vector machines.
• Marketing and Consumer Insight Tools: Includes conjoint analysis, perceptual mapping, and market segmentation capabilities.
• Time Series Analysis: Provides tools for forecasting, smoothing, ARIMA models, and seasonal decomposition.
• Multivariate Analysis: Performs PCA, MCA, PLS, discriminant analysis, and factor analysis for large datasets.
• Survival Analysis: Includes Kaplan-Meier curves, Cox regression, and life tables.
• Quality Control: Offers SPC tools such as control charts, capability analysis, and Six Sigma metrics.
• Easy Excel Integration: Fully embedded in Excel, enabling users to perform analyses without leaving their familiar spreadsheet environment.
• Customizable Reports: Generates detailed and exportable reports with tables and visual summaries directly in Excel.
• Add-on Modules: Offers industry-specific features like sensory analysis, environmental statistics, and biostatistics.