XLSTAT 사용 후기 및 리뷰

Exploring the data with XLSTAT

주석: Very satisfactory, the results according to the methodology, explanation of each of the methodologies on the Web and other aids, very fast response and flexibility when contracting a license.

장점:

Versatility of data analysis, essential in basic research

단점:

Although it is a very good and useful tool in data analysis, the cost is very high if you want the premium license, mainly in countries where research is very little recognized.

On the go statistic application

주석: On the go statistic application for Excel type of data. It make this app easier and simpler to run analysis data. The features also quite complete. There is also special price for the student.

장점:

Easy to use since this application is added on Excel.

단점:

I need to re-activate this app when I not use it for couple of days. It is anoying.

XLSTAT works well for Windows, but not Macs

주석: 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

장점:

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.

단점:

This software doesn't work well on a Mac.

Necessary.

주석: Satisfactory, I use it daily. It is my priority software in my data analysis

장점:

The Excel compatibility, It is certainly a great addition.

단점:

The need to always include the data description

Kerry Ingredients SSC review

주석: Overall, it covers the essential sensory tools and methodologies used by Sensory Science these days such as TCATA, Temporal and Time Intensity. Still fiddling on these features.

장점:

Tutorials and the statistical rationale behind the step. Technically sound.

단점:

Window commands and prompt messages. It takes a while to understand the lingo.

Review for xlstat after more than a year of use

장점:

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

단점:

No neural network tools in the machine learning section

Prices need to be lowered.

장점:

Multivariate analysis and practicality in data analysis.

단점:

The price needs to be lowered or for old customers to have more discounts.

Undoubtedly one of the easiest tools for statistical analysis

주석: With XLSTAT I can analyze my data without too much headache, it's the most accessible statistical software I've ever used.

장점:

It's easy to understand and the fact that the data is already on the Excel sheet is just handy. No need for complicated formulas to get your results.

단점:

I find the subscription price a bit expensive.

Easy to use add-on to Microsoft Excel for Statistical Analysis

장점:

Ease of installation. Ease of use. Makes statistical tests beyond the default Excel functionality available. A verbal interpretation of results.

단점:

Slows Excel down when opening spreadsheets with many results.

XLStat works

주석: Excellent. Easy to use and intuitive. Would highly recommend.

장점:

XLStat is easy to use so I highly recommend it

단점:

The cost--it is unreachable for most of my students in graduate programs. My company purchases it for me and my staff but the access is limited to the few computers available.

XLSTAT recommendation

장점:

Effective and easy work; various options for data analysis

단점:

While I appreciate all the software's features, I would prefer an option for obtaining a multi-year license.

user experience with XLSTAT

장점:

Easy to do data analysis and model employment

단점:

not easy to get online help and description of function

XLSTAT wins go-to stats software hands down

주석: Very satisfied with the experience and will recommend the software to both new and experienced analysts.

장점:

Using the excel environment for data analyses and visualisation is a winner; creates a short learning curve for any new analyst. The video tutorials are topnotch and user is able to learn the statistics and its application easily and quickly. Overall functionality and user friendliness are excellent .

단점:

Artificial Intelligence functionality can be built in to improve functionality.

xlstat application to scientific application

주석: I am using the software to analyze scientific data. My overall experience is good but solving the problem of big data will make better.

장점:

Modelling Data feature, very easy to use.

단점:

I have it very difficult to analyze big data using XLSTAT.

XLSTAT: the workhorse for data science

주석: 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.

장점:

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.

단점:

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

XLSTAT Basic - A Very Useful Inexpensive Statistical Tool

주석: I use XLSTAT for data analysis I encounter with my clinical research and review work.

장점:

I like its integration with Excel and its multiple array of functions at an affordable price. I have been using JMP and StatView in the past. The former has gotten to be very expensive and the latter is no longer available. For a user requiring basic to moderate statistical tools this program is excellent. It does reasonable charting using Excel's capabilities. I have not tried the charting modules as they are not essential to what I do.

단점:

It took me a while to get used to it. The manual is not easy to navigate. I have looked at some tutorials and found them helpful. Perhaps setting an Introductory course to "Become a proficient XLSTAT user" lets say in 12-24 sessions could be helpful.

XLSTAT for biotechnology research

주석: I really took advantage for the features provided on the normal version and I will definitly will renew my supscription

장점:

I liked the easy the interface works, and the vast and powerful statistic tools on it. I used the normal version and has enough tools for research in biotechnology. When I tried the premium version I can use several techniques and I really considered to buy it.

단점:

The high price, and the economic version only last one year. I recommended that once your license ends you can continue some of the features integrated on that license and don't block you all access even the free trail.

XLSTAT is Outstanding and EFFECTIVE

장점:

Too much to note here. Probably that it is so inexpensive that I have never had any pushback when purchasing one of a dozen or so licenses I have had over the years.

단점:

I don't feel like answering this and I can't find the code easily enough to change the rule, so I'll just say having to answer this question.

Excellent software and easy to use

주석: I have used XLSTAT for many years as a part of my research projects and almost all my publications. An easy software to use that can help to generate great visual graphs for your research projects.

장점:

The software is integrated with Excel which makes the use of it extremely easy Excellent video tutorials are provided to guide you through what you need to do for your own data analysis

단점:

More control on some of the omics tools will be a great addition to this software

XLStat is powerfull statistical tools for data analysis

주석: i love it, it makes my day happy every day when i want to do data analysis

장점:

very easy to use it and not very complicated specially to key in the raw data

단점:

computer compatibility maybe my computer problem

XLSTAT

주석: I use XLSTAT Sensory, and I really enjoy it. The software is user-friendly and easy to use, and there is a plethora of resources for all users.

장점:

I really like how user-friendly it is, and how there is a full explanation of how to use each function. I often look to the XLSTAT website for help and it is a great resource.

단점:

The only comment I have is that it would be nice to be able to communicate with a help desk type resource through a chat box- however this feature may already exist and I just have not yet discovered it yet.

Great for analysis of sensory science data

주석: It has allowed me to analyse many sets of data for various clients: preference mapping, multiple factor analysis, principal component analysis, sensory panel performance...

장점:

I like the various options for analysis that are not easily available elsewhere - particularly for sensory science applications. Once you get used to the different menus it's fairly easy to use. The tutorials and video support are mostly very clear. The customer service is excellent with very rapid replies and solutions.

단점:

It can be difficult to use the first few times but the tutorials help explain most things and the excellent customer service helps with much of the rest. The plots can be tricky to share and require some editing before use.

XLSTAT gets me through the day!

주석: Sample size and power estimates are easy in XLSTAT. The exercise compels non-statisticians to pay attention to the statistical considerations at the earliest stages of clinical trial design and protocol development.

장점:

Sample size and power estimates are easy in XLSTAT. The exercise compels non-statisticians to pay attention to the statistical considerations at the earliest stages of clinical trial design and protocol development.

단점:

Add a calculator for Cohen's d and Cohen's h so that I can easily estimate standardized effect size for experimental agents from published articles. For Cohen's d, provide the option of entering either SD or SE and N, because one or the other, but not both, are reported in journal articles.

Data Analysis Made Easy with XLSTAT

주석: I was never a statistician but with XLSTAT I learnt so much. There tutorials are great they explain you in simple language, easy to follow. I love XLSTAT. I couldn’t have thought of any better software than this.

장점:

* Ease of use * Very good and clear tutorials * Convenient and doesn’t take a lot of time for analysis * Lot of features to choose from for the data analysis * One place and rate provides all * Great customer support

단점:

* I have not faced anything yet * Probably some features are not available in everything but customer support always helps and caters to your request!

XLSTAT is Excellent!

주석: Excellent

장점:

It is very user friendly. Anyone with basic understanuser-friendlyding of statistics can use it.

단점:

Visualization can be improved to help display the results of statistical analysis. I also like that in some parts, an explanation is provided to help interpret the results of the analysis. I encourage doing this more and if possible to all inferential statistics.