XLSTAT
¿Qué es XLSTAT?
XLSTAT es un software estadístico fácil de usar, integral, asequible y de alto rendimiento, que funciona como un complemento de Excel. Más de 200 funciones estadísticas disponibles en general o Leer más soluciones orientadas al campo. Las funciones incluyen visualización de datos, modelado estadístico (regresión, análisis de la varianza [ANOVA (Analysis of Variance)], modelos mixtos, mínimos cuadrados parciales [PLS (Partial Least Squares)], entre otros), exploración de datos (análisis de componentes principales [PCA (Principal Component Analysis)], análisis de múltiples correspondencias [MCA (Multiple Correspondence Analysis)], análisis discriminante [DA (Discriminant Analysis)], entre otros), pruebas estadísticas, métodos de pronóstico, aprendizaje automático, análisis conjunto, mínimos cuadrados parciales en modelado de ecuación estructural (PLS-SEM [Partial Least Squares Structural Equation Modeling]), análisis de supervivencia, comparación de métodos, análisis de datos de OMIC, control del proceso estadístico (SPC [Statistical Process Control]) y mucho más. Mostrar menos¿Quién usa XLSTAT?
Usuarios corporativos e investigadores en cualquier campo de experiencia donde los datos son una fuente importante de información; profesores de estadística que apuntan a demostrar sus programas con un software fácil de usar.
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Opinones de XLSTAT
Emma
Mi experiecia con Xlstat
Puntos a favor:
Además de ser muy fácil de usar es muy versátil y sobre todo me permite realizar análisis estadístico multivariado con métodos avanzados como análisis de matrices de datos en el tiempo, espacio u ocasiones, como el método Statis, Análisis Factorial Múltiple y diversos métodos de segmentación. La entrada de datos y los resultados se ingresan y se obtienen dentro de las hoja de Excel y es ahí su facilidad de interacción con el usuario.
Contras:
Debería incluir otros métodos de análisis estadistico multivariado como métodos Tucker en todas sus versiones.
Parag Jyoti
XLSTAT: the workhorse for data science
Comentarios: XLSTAT can be best described as the software for data science from beginner to advanced levels that can be operated without the need of technical guidance. Sampling, data preparation, exploratory data analysis to building prediction models with state-of-the-art machine learning algorithms generally encompasses a set of requirements: a clear objective, a software with all standard features and algorithms, intuition, technical guidance, and probably, also experience. With XLSTAT, the first one in the list alone is sufficient enough to successfully accomplish the goal; the rest is taken care of by XLSTAT. In the academic milieu, we regularly face the task of explaining students of how statistical models are built from a set of data and their specific applications accompanied by demonstrations in the classroom. This includes even spatial and time-series data. This tutoring approach goes a long way in encouraging students towards a dissertation project involving data-driven modelling. In this situation, undergraduates who only have some basic operational knowledge about Excel spreadsheets are easily drawn into using a data science platform which runs on the already familiar Excel and transforms their data in spreadsheets into powerful and efficient models. This is where XLSTAT becomes the default platform for data science projects. In short, XLSTAT is a workhorse for data scientists with a few simple mouse clicks and visualizing the response in every step as stunning graphics.
Puntos a favor:
XLSTAT can process even spatial data as raster to CSV converted files and enables to prepare the data just like in Excel. Data preparation is the single tedious task which consumes most of the time in a data science project. XLSTAT has all standard features and algorithms of machine learning software which can be operated by editing simple spreadsheets.
Contras:
Not suitable for processing a big dataset with 10 million rows such as high-resolution remote sensing images
Respuesta de Addinsoft
hace 4 años
Many thanks for your detailed review! It is now possible to load data files which exceed the standard Excel worksheet size. This import method loads data into the computer¿s memory rather than the worksheet. This option is currently available for regression, normality tests and data management tasks but we plan to integrate it to more features.
Shaoyang
I recommend every researcher/student buy XLSTAT
Comentarios: I handle most of my sensory evaluation data and consumer data using XLSTAT. It is super easy and smooth to complete the data feeding – processing – reporting procedure. Now it only takes me 10 mins to finish all thoes steps (without XLSTAT, 2–3 days might not be enough)
Puntos a favor:
Economic, user-friendly, comprehensive online tutorial, customised training courses, best integration to Excel, up-to-date solutions, customer service
Contras:
Some functions have bugs that cause Excel collapse. I always identify these bugs and report them to Addinsoft. They always contact me the next day and fix these bugs as fast as they can.
April
Lifesaver!!
Puntos a favor:
Xlsat has allowed me to analyze and predict data beyond any scope I have before. I thought I would not understand statistics but this software helped me become an A student!
Contras:
I’m still learning new things everyday that the software can do, it would be cool if there were links or small explanations as to what “regression”actually is for example.
Marcus
XLSTAT works well for Windows, but not Macs
Comentarios: I thought this software was a great idea, and it works really well on a Windows machine. I tried it several times (several versions) on a Mac, and was always disappointed. The support staff acknowledges that the performance on a Mac is less than on a PC
Puntos a favor:
It is easy (and powerful) to interface this package with Excel on a Windows machine, but it's disappointingly slow (and crashes) on a Mac.
Contras:
This software doesn't work well on a Mac.
