I was excited to learn that BlueSky was planning a new version that included a comprehensive Six Sigma module just in time for the new edition of The Six Sigma Handbook. Their team worked with me closely to include the most widely used statistical techniques and graphics. Their commitment to excellence was obvious.

I revised all of the examples in the Sixth Edition of my Six Sigma Handbook using BlueSky Statistics. Plus I rewrote all of the assignments for my online Six Sigma Green and Black Belt courses with BlueSky Statistics. BlueSky's team worked with me to include everything a practicing Six Sigma belt needs to get the job done. I'm certain that the product will continue to get better and better as time goes by.

There is a learning curve, as there is with any major statistics package. But once learned you will have a powerful set of statistical tools that you can take with you to new employers.

Overall, this is a fantastic product. I use it frequently and find it seamlessly entering my workflow. All basic statistical analyses and many more complex ones are present, easy to implement, and work reliably. Huge datasets are no problem and just about anything you can do in stock R you can do with BlueSky.

- easy to import and transform data- surprisingly many features- R syntax is available and can be modified

- image export is awkward- sometimes slow to launch

Tried it back and forth with SPSS and R to test functionality. After one yr will not support it unless a big change.

Make it more like SPSS or Jamovi. Using files from other software. Using ‘some R commands’.

Poor editing or seting up variables. Not able to connect to R without a lot of problems.

I used very early versions (like7 or so) then there was some character encoding problem with my language which was recently solved. I will be using this software much more frequently now. I wanted this software for a clinical trial course I was teaching in Bogazici University. Maybe in future terms, now that it works perfectly across languages.

Most feature rich package, relative ease of use, lends itself to reproducible research (Markdown), R GUI but also has R editor, No need to know R, SPSS alternative, imports from and exports to most known formats, best user manual I ever read (skimmed), last but not least: excellent support team and a dedicated founder.

Menus may be overwhelming. This is hardly a con because the package is so feature rich, it cannot be presented with a simpler menu system.

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.

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.

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.

It is much easier than working with SPSS and it's great that you can use R coding.

Its simplicity and compatibility with other similar software and analyses

Room for improvement of user interface and data visualization

I dont know how to use R, so bluesky is a better interface from R

The friendly interface for R analysis

I had some difficult to open heavy database

Enjoy it and am thankful that this product is here and available.

The graphical interface is much friendlier than competing products. The outputs are substantially easier to view and understand for a non highly technical audience. You can take the outputs and share them without adjustment to "key" decision makers. Ultimately these are the people that hold the key to success in our work.

Just a learning curve of how you navigate using the software.

Last year, i set up my statistics course to use my beloved SPSS for teaching linear models, only to find that some students had licensing issues. R/Studio-was not an option as the course was too comprised for us to have time to learn codes. On exploring the options, I came across Bluesky. Installation was straightforward, and within a week of review, I decided it was the right software going forward. I have now used it to teach several other courses and the students have loved it. All I needed to do is prepare a few videos showing data formats for each technique and how to in Bluesky statistics

It is well thought out combining the best features from both SPSS and R into a single packageAnd outstanding support team with technical understanding of both the software and statistical methods.

As with all software, Bluesky is still a work in progress. I picked up a number of issues when I used for teaching, but each of them was addressed in time to not affect my teaching, eg some of the issues were implemented in version 10.2.1 within weeks of my bringing to the team attention - students were so happy with this, so was I. We noticed that different students were having different dialogues in some of the menus (eg descriptive statistics) and some of the output, but we couldn't find out why. This created few challenges during teaching. However, it is us the users who can provide feedback about issues as it is impossible to pick up all bugs in any program during testing.

Helpede a lot for conversion from WIN based SPSS to MAC, but especially for graphic output I would prefer vector based graphics than pixel based graphics.And, indeed, in within the underlying R it is possible to get better publication ready based graphics.

Short learnig curve. Several commands are corresponding to the SPSS version I know.

Difficulties to get graphic output into publications requirments

It's easy to use and quite powerful. It's very similar to Minitab, JMP, and SPSS, but much cheaper, even when you pay for their tech support.

Our team works with both programmers and non-programmers. BlueSky manages to keep both groups happy since it's easy to use, and our programmers can add their own features. Its program editor is not as comprehensive as RStudio, but its menus make it easier for most people to use. Since they added Six Sigma, quality control charts, and design of experiments, we have not needed to renew our expensive licenses for JMP and Minitab.

I wish the program editor allowed me to edit more than one R program file at a time. BlueSky lets you work with many datasets, and write to many output windows, but, oddly, they have not yet added this feature. They say it's in their development queue, so I hope the add it soon.

Its great software. I will watch the development of bluesky with great interest :)

as I said earlier, It makes R language accessible to people who don’t want or cant afford time to learn. It enables people to do complex functions with R, which would require tremendous amount of time to learn coding using barebone R. Bluesky stat converts all those difficult functions into drag&drop or "tick appropriate marks" interface in order to get same or better looking results. I love this about software.

In newest version, there is some components which can be improved in my opinion. For ex.: you can drag&drop items in "repeated measures ANOVA long", but you cant do it in "repeated measures ANOVA wide". It would be nice to have "plot individual values while doing regressions, as well as theme selections for 95 confidence intervals for graphical representations of models/data. In regressions (mixed) you basically have to create formula (same as in R), which is no improvement (some stat. software still make it even easier (NCSS or Minitab) to create regression with "point&click"). Maybe you will add optional "point&click" way of regression input for people who dont want/cant write formula, while keeping formula for statisticians/tech savvy people.

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.

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.

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.

Of all the menu-driven options out there that employ R under the hood, BlueSky Statistics has the most depth and breadth, and does so with the cleanest UI\UX . Installation is a breeze but I have multiple versions of R and also had XQuartz installed so cannot speak to the experience of novice users or those with no R installation.

The challenge with all these applications is that for an intermediate or advanced users\instructor, the learning curve is minimal because all you have to do is focus on understanding the UI\UX. But for novices, especially those who would be challenged by base R and the IDEs out there, well, this is easier but only so much because they have to navigate many options at the same time. In some ways, it would be better to have dropdown menus that allow you to choose, for example, exploratory data analysis, and then within the EDA dropdown you see options for visual options, etc. Similarly, maybe an option for testing assumptions, and then drill-down menus that give the user options for tests appropriate to a particular situation\need. This would also help reinforce to students the notion of when a particular test would be appropriate or inappropriate.

BlueSky Statistics is incredibly easy to learn and use for individuals new to statistics, and has a nearly exhaustive suite of advanced statistical analyses for more experienced users. For me, using BlueSky Statistics is akin to using a combination of R and SPSS, which is exactly what I am looking for in a statistical analysis software. I have used the program for approximately one year now and intend to continue using it for the foreseeable future.

Mediation/Moderation/Hayes models are missing or need improvement. Additionally, I have attempted to convert some of my BlueSky outputs to R markdown documents, but have yet to be able to get them to run in R. The error messages say that particular packages are required, however when I attempt to download them in R, they are not available for download from CRAN. Subsequently, I would appreciate more seamless integration with R.

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

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.

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

Most useful, practical, and accesible to students and faculty.

To date this is the most functional complete resource I have come across for teaching, research and practice of statistical methods in education.

All the necessary features are present in the current version. A plus not found in other similar resources is the psychometric modules based on IRT

I have a very positive experience as a professor who teaches data analytics and statistics.

Being free and open source Runs on the most powerful R language Feature rich than all other alternatives Can quickly learn and teachCan run R commands directlyVery easy to install more R packages and manage them

It takes time to start and sometimes get stuckA comprehensive user guide that could be downloaded would be nice rather than an online version...If the running of commands could be speedier it would be nice...If structural equation modelling is present, it would be nice...

I have been using Jamovi and that was a fairly steep learning curve to work out how to format the data correctly, but this Blue Sky program is even more user unfriendly. It is extremely unclear how to use it. You really need to get some bench scientists to use this and guide them so they can make a normal persons guide on how to do it because at this point it is too opaque. Really you need to look at how Prism works and use that as a template. They really know how to make statistics accessible - it is just a shame it is so expensive.

It is free - where as SPSS, Prism and the other are very expensive

It is too complicated to use and there are no useful tutorials. All these programs are designed with Psychology or business analysis in mind. I can never find a clear and simple viseo or written tutorial for how to enter the type of data I obtain in medical/scientific research. For example I want to make a 3 x 3 contingency table where the columns are a score 0, 1, 2, and the rows are a different score 0, 1, 2 and each set of factors contains the numbers of cases that conform to the score of 0/0 or 0/1 etc etc then do a Chi Sq. There is no simple video that explains how to do this anywhere. there are no simple example datasets I can load in to see how to format the data.

number one: is R based! I've been using other GUIs (JASP/jamovi) but BlueSky Statistics is more "robust" in terms of presentation. This is also a good resource to teach Statistics.

You took away the Market Basket Analysis, why??? I miss some other features like SEM (both CB-SEM and PLS-SEM), the oldest version was much more interesting in terms of get add-ons, to be honest I don't even know if you guys are providing add-ons in this new version. the menus are somehow confused, you need to be a little bit savvy on data analysis to use it, and this is not good comparing to others GUIs. I know the future is bright and you are working hard on it, but there's some easy changes like a more intuitive menu that will save you time on development.

Great

It's free version. I like R based programming option.

We need econometrics analysis option and panel model analysis.

Reading data, Data analysis, Graphics and charting became much easier

This GUI is more professional and makes it easy to work with R

I don't have any. Overall it is ok. Well designed

It's a terrific, low-cost alternative to SPSS (in particular) for non-profits and anyone else whose need for powerful tools exceeds their budget.

Powerful, easy to use statistical package.

I ran into bugs in a couple of functions; could use some additional quality control.

Well it has been a great help especially because I also teach statistics in the graduate school where software is needed by students to do analysis work.

Its integration with RStudio which I frequently use as well.

I have yet to see applications involving time series, survival analysis and environmental analysis.

I have been using BlueSky Statistic to analyze data about policies of Higher Education and Scientific Research

The main features and tools are available with few steps: graphs, complex analysis and forecasts are accessible for everyone. In a intuitive graphing environment.

Interactive maps and animated graphs can and must be improved in this software. Because, our audience think that this way is easily understand a big data