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

I recommend every researcher/student buy XLSTAT

Comentários: 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)

Vantagens:

Economic, user-friendly, comprehensive online tutorial, customised training courses, best integration to Excel, up-to-date solutions, customer service

Desvantagens:

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.

Lifesaver!!

Vantagens:

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!

Desvantagens:

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.

XLSTAT works well for Windows, but not Macs

Comentários: 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

Vantagens:

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.

Desvantagens:

This software doesn't work well on a Mac.

Amazing software for statistical analysis right from within excel

Comentários: Overall, I am satisfied with XLSTAT in terms of value for money and ease of use. Given that I have advanced level knowledge in excel, this streamlines my workflow significantly with the way it is integrated into excel.
However the price is really on a high end.

Vantagens:

The one thing that keeps me coming back to XLSTAT despite many alternatives is the ability of the software to write a summary interpretation of statistical tests

Desvantagens:

The software is very expensive compared to other software that can do similar statistical analysis