Was ist BlueSky Statistics?

Fully featured statistics application and development framework built on the open source R project.

BlueSky Statistics – Details

BlueSky Statistics

BlueSky Statistics – Details

BlueSky Statistics

BlueSky Statistics – Videos und Bilder

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Erfahrungen mit BlueSky Statistics

Alle 18 Nutzerbewertungen lesen

Durchschnittliche Bewertung

Gesamt
4,5
Benutzerfreundlichkeit
4,6
Kundenservice
4,8
Funktionen
4,3
Preis-Leistungs-Verhältnis
4,8

Nutzerbewertungen nach Bewertung

5
9
4
9

Nutzerbewertungen nach Unternehmensgröße (Angestellte)

  • <50
  • 51-200
  • 201-1.000
  • >1.001
Johnny m. M.
Johnny m. M.
Data Scientist in USA
Verifizierter Nutzer auf LinkedIn
Unternehmensberatung, 2-10 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

COTS to OS Transition

5 vor 2 Jahren

Kommentare: We utilized BlueSky to develop an analytic program and structure that businesses can leverage to transition from costly COTS products to OS solutions, while encouraging the technically inclined among those businesses to venture farther into the realm of data science and statistical programming. As a result, we have saved our clients tens of thousands of dollars annually in software licences, and have introduced an entirely new perspective through which businesses view and approach their analytic initiatives.

Vorteile:

I personally appreciate the ability to build and save models for subsequent implementation and deployment while having the option to tune the models with R code. As a consultant, however, the greatest strength of BlueSky is the ease of use for non-technical users. It truly brings the essentials of data analysis/science to all professionals by delivering a familiar environment with a very easy learning curve.

Nachteile:

From the perspectives of my clients, BlueSky and its users would benefit greatly from incorporating common pivot features that are familiar to those working in Excel.

Bob M.
Statistician in USA
Hochschulbildung, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Easy Integration with the R Language

5 vor 2 Jahren

Kommentare: I found it very easy to learn and the support staff seemed happy to get ideas for how to improve the product. They have added several things that I asked for. If you send them R code and describe a dialog box you would like to see them add, there's a good chance it will appear in the next release. It's an open source product with a RedHat-like pay-for-support model, so of course, paying customers will likely get a quicker response on requests like that.

Vorteile:

Like most statistics packages, BlueSky Statistics has a lot of statistical analysis methods, but what makes this software stand out is its tight integration with the powerful R programming language. All of BlueSky's work is done behind the scenes in R. Most users won't probably know this because unless you go looking for it, the R code that it writes is completely hidden. Unlike some other software like this, you don't have to install R, then install BlueSky since it includes its own copy of R. So you install one thing, start it up, and you're ready to start using Excel-like menus to import data, manage and manipulate it, visualize it, and analyze it. So if people might not be aware of R's role in this software, why is it such a big deal? Because people who do know this popular language can use it to add their own menus and dialog boxes to the software. Also, people who want to learn to program in R can ask BlueSky to display the R code that it writes to perform each task. If you're into the details of that language, BlueSky uses the modern "tidyverse" version of the code as much as possible, including using the ggplot2 package for data visualization.

Nachteile:

There are two things I hope the vendor can improve on. First, this is Windows-only software. They say a Mac version is in development, but we have a lot of students who use Macs. Second, I wish it remembered all the dialog box settings from session to session so people could re-use their work without dealing with programming code. It does have a History menu that you can use *within* a session to repeat variations of an analysis, but to go from session to session and repeat all steps requires saving the R program that it wrote for you. When I wrote their tech support address, they said that too is on the way.

Ruben O.
Graduate Research Assistant in USA
Forschung, 1.001-5.000 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

Say goodbye to paying for statistical software

5 vor 2 Jahren

Vorteile:

The interface is extremely user friendly and accesible. You can easily point and click your way through a problem and then save the R-code . Great way to easily run statistical analyses and learn to code while doing it!

Nachteile:

Not crazy about the output management capabilities. However, you still get all the information you need .

Robert G.
Faculty of Psychology in USA
Hochschulbildung, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

A good alternative

5 vor 2 Jahren

Kommentare: I have been extremely happy with the open source version and would encourage anyone who is being squeezed financially within their university to give it a try.

Vorteile:

As many universities have had to tighten their belts, budgets for things like a subscription to SPSS have gone by the way side. BlueSky has been a real life saver. Not only does it allow for most of the statistical features, the ones that are not included can still be used with r code. While most of the time I use the graphical interface to perform the majority of tasks, sometimes there is something I need it to do that I cannot find. While I am not remotely an expert, there are plenty of experts who work in r that makes this an incredibly powerful option.

Nachteile:

The three tabs are great if you have a multiple monitor setup, but when working one a single screen (i.e. a laptop), this can be incredibly inefficient to have to switch back and forth constantly between tabs.

Mahmood T.
Biostatistician in Frankreich
Forschung, Selbstständig
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Beautiful statistical software

4 vor 2 Jahren

Kommentare: I like it and want to explore all its menu because I am sure it expand my knowledge about R and statistical analysis.

Vorteile:

I like its beautiful design and its functionality that cover most routine statistical analysis in research. Its set of the parametric and nonparametric test seems complete except for McNemar's test. It's model fitting and model checking and model tuning capabilities also are interesting.

Nachteile:

It seems this software like R does not let to edit graphs.