XLSTAT

XLSTAT: the workhorse for data science

Opmerkingen: 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.

Pluspunten:

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.

Minpunten:

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

XLstat-a software worth considering

Opmerkingen: As I have already written, it helped us in our medical research

Pluspunten:

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

Minpunten:

I do not know anything that could be done, everything worked well

Good features, poor reliability

Opmerkingen: 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.

Pluspunten:

Ease of access for many commonly used tests.

Minpunten:

Glitchy, spontaneous crashes; some features are "clunky" or instructions are not intuitive

Review for xlstat after more than a year of use

Pluspunten:

Easy to use, essential for my work, contains a wide range of tools for calculating various statistical parameters

Minpunten:

No neural network tools in the machine learning section

XLSTAT the easiest way to do some statistics for your company

Opmerkingen: Every statistical analysis is done with this software in my company !

Pluspunten:

Easy to use, the customer service is really fast, and the price is very attractive

Minpunten:

The errors sent by the computer of the software do not help much sometimes on the error of our analysis.