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XLSTAT
Conheça XLSTAT
O XLSTAT é um software estatístico fácil de usar, abrangente, acessível e com bom desempenho, que funciona como um complemento do Excel. Mais de 200 recursos estatísticos disponíveis em soluções gerais ou orientadas para o campo. Os recursos incluem visualização de dados, modelagem estatística (regressão, ANOVA, modelos mistos, PLS), mineração de dados (PCA, MCA, DA), testes estatísticos, métodos de previsão, aprendizado de máquina, análise conjunta, PLS-SEM (marketing por motor de busca), análise de sobrevivência, comparação de métodos, análise de dados OMICs, controle estatístico de processos (SPC) e muito mais.
Quem usa XLSTAT?
Usuários empresariais e pesquisadores em qualquer área de especialização em que os dados sejam uma fonte importante de informação; professores de estatística com o objetivo de ilustrar seus programas com um software de fácil utilização.
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XLSTAT
Avaliações do XLSTAT
XLSTAT: the workhorse for data science
Comentários: 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.
Vantagens:
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.
Desvantagens:
Not suitable for processing a big dataset with 10 million rows such as high-resolution remote sensing images
Resposta do Lumivero
há 6 anos
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.
Alternativas consideradas anteriormente:
XLSTAT the easiest way to do some statistics for your company
Comentários: Every statistical analysis is done with this software in my company !
Vantagens:
Easy to use, the customer service is really fast, and the price is very attractive
Desvantagens:
The errors sent by the computer of the software do not help much sometimes on the error of our analysis.
Good features, poor reliability
Comentários: 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.
Vantagens:
Ease of access for many commonly used tests.
Desvantagens:
Glitchy, spontaneous crashes; some features are "clunky" or instructions are not intuitive
Necessary.
Comentários: Satisfactory, I use it daily. It is my priority software in my data analysis
Vantagens:
The Excel compatibility, It is certainly a great addition.
Desvantagens:
The need to always include the data description
User friendly
Comentários: I really like using XLSTAT it makes my work easy compared to other software that I've used before.
Vantagens:
This software is equipped with step by step tutorial on running your statistical analysis which really help if you are a beginner. The data visualization is also fantastic and can be done with only several clicks.
Desvantagens:
Although the subscription plan of XLSTAT is much lower compared to other statistical software, it is still a bit expensive to researchers/educators from developing countries.