Wir helfen Unternehmen seit 17 Jahren,
bessere Software zu finden
Was ist XLSTAT?
XLSTAT ist eine benutzerfreundliche, umfassende, erschwingliche und performante statistische Software, die als Zusatz zu Excel funktioniert. Mehr als 200 statistische Funktionen in allgemeinen oder feldorientierten Lösungen verfügbar. Funktionen umfassen Datenvisualisierung, statistische Modellierung (Regression, ANOVA, gemischte Modelle, PLS ...), Data Mining (PCA, MCA, DA ...), statistische Tests, Prognosemethoden, maschinelles Lernen, Conjoint-Analyse, PLS-SEM, Überlebensanalyse, Methodenvergleich, OMICs Datenanalyse, SPC und viele mehr.
Wer verwendet XLSTAT?
Firmenbenutzer und Forscher in allen Bereichen, in denen Daten eine wichtige Informationsquelle darstellen; Statistikprofessoren mit dem Ziel, ihre Programme mit benutzerfreundlicher Software zu veranschaulichen.
Du bist nicht sicher, ob XLSTAT das Richtige ist?
Mit einer beliebten Alternative vergleichen
XLSTAT
Weitere gute Alternativen zu XLSTAT
Bewertungen über XLSTAT
XLSTAT: the workhorse for data science
Kommentare: 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.
Vorteile:
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.
Nachteile:
Not suitable for processing a big dataset with 10 million rows such as high-resolution remote sensing images
Antwort von Lumivero
vor 6 Jahren
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.
XLstat-a software worth considering
Kommentare: As I have already written, it helped us in our medical research
Vorteile:
It was a good support in medical research. The calculations and diagrams that were written with it made possible for us to publish in high-ranking publications
Nachteile:
I do not know anything that could be done, everything worked well
Good features, poor reliability
Kommentare: I used the sensory package for a sensory analysis class I was taking. Compared to other programs available, XLSTAT makes things easier (compared to R, for example) with less of a learning curve. A lot of the test options are easy to find and get started with. However, some subtleties are difficult to find or change for certain tests. In the end, XLSTAT is easier to learn than other programs, but constantly crashes, making it unreliable.
Vorteile:
Ease of access for many commonly used tests.
Nachteile:
Glitchy, spontaneous crashes; some features are "clunky" or instructions are not intuitive
Necessary.
Kommentare: Satisfactory, I use it daily. It is my priority software in my data analysis
Vorteile:
The Excel compatibility, It is certainly a great addition.
Nachteile:
The need to always include the data description
In Betracht gezogene Alternativen:
XLSTAT the easiest way to do some statistics for your company
Kommentare: Every statistical analysis is done with this software in my company !
Vorteile:
Easy to use, the customer service is really fast, and the price is very attractive
Nachteile:
The errors sent by the computer of the software do not help much sometimes on the error of our analysis.
