XLSTAT

Commentaires: 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.

Avantages: 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.

Inconvénients: Not suitable for processing a big dataset with 10 million rows such as high-resolution remote sensing images

Commentaires: Very positive experience, I start my deep statistical analysis with Xlstat and learn a lot.

Avantages: I like the easiness and very intuitive interface. Clear tutorials on the website with important examples. It is a very complete tool for my daily activity. I will recommend always.

Inconvénients: Sometimes the difficult in reinstall the old versions in other computers

Commentaires: I am using XLSTAT for generating PCA plots and differential gene expression analysis for medical research. I found it easy and quick to perform the analysis. Integration with MS Excel and R software were the biggest selling points of the software. However, MS excel interaction may be a limitation with respect to the user friendly interaction with the software.

Avantages: The statistical functions are integrated into Microsoft excel is the best feature of this software. It makes it easy to arrange the columns and rows and prepare your data for analysis. Integration with R software is a strength as well.

Inconvénients: The statistical functions are not very intuitive and user friendly to use. The integration with MS Excel is both the software`s strength as well as a weakness.

Commentaires: 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

Avantages: 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.

Inconvénients: This software doesn't work well on a Mac.

Avantages: I like how the software allows me to do my data analysis with ease, as compared to STATA, which requires a great deal of practice and knowledge in order to use it effectively.

Inconvénients: Some features are of relatively insignificant importance. Also, the display of outputs does not look really attractive to me.