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In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Power Apps is ideal for scenarios that are neither too complex nor too large. It is easy to begin development in Power Apps, as it is one of the best tools for low-code development. Power Apps can be implemented for complex scenarios as well, provided there is strong knowledge of the tool and ample time for planning. Our applications benefit from Power Apps' cross-platform support, making it easy to use on any device, including desktops, laptops, and mobile devices.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Power Apps has formats that are pre-built that don't require any coding which makes it easier to achieve your vision. This does become a challenge if your App needs don't fit into that format.
We deal with a ton of data so the fact that you can connect to any data source in addition to their pre-stablished data connections makes the process a breeze.
The online learning resources and tutorials are helpful as well for those who are tech savvy.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Python integration is newer and still can be rough, especially with when using virtual environments.
RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Sometimes the cost of solutions is greater than the benefit. Licensing is expensive relative to the scope of some business user-created personal or team-level solutions.
While there is a starter-kit for Governance, it is complicated to stand up and requires dedicated resources to provide on-going governance operations. Many organizations are not going to be able to dedicate resources to governance and this causes the sprawl, solution duplication, silos, unneeded and unplanned licensing expenses, and a general "wild wild west" environment.
There needs to be better direction and best practices given around Power Platform Environment utilization and optimization.
The accessibility to the platform and ease for business partners to independantly create solutions is both a benefit and a negative. When the business outcome needed is a good fit for PowerApps it is a quick win, but when not a good fit it becomes a frustration for the business partner attempting to make the platform do something it is not well-suited for. The business partner entangles tech teams in the effort which drains resources and provides a lack-luster solution. All of this to say, it would be beneficial to have some tools that business partners could leverage to determine\understand if the type of business outcome they need is well suited to PowerApps or not.
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
PowerApps is a great solution and I have spent the last year familiarizing myself with the platform and building custom applications to complete a whole range of tasks such as asset management, custom invoice generation, and item restriction tracking. We as a company have barely begun to scratch the surface of what can be achieved with PowerApps.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The community forums are extremely responsive to questions asked, there is a good body of online documentation and many community posts to draw from. Although the platform has changed, which means some of the posts are out of date and the solutions provided aren't relevant. Of relevance, I read over 400 articles plus documentation to get this first app built in SharePoint, move it to SQL and make it work exactly the way it should.
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
1. PowerApps functionality comes with E1 over E3 License without adding extra costs 2. For Nintex you pay (at the beginning) for each workflow, so my intention would be, to do no workflows to prevent additional costs, but I want a platform with a fair price that allows me to create workflows without thinking about the price for each workflow and we use only some workflow and relative easy workflows and forms as a medium-sized company. 3. PowerApps provides a lot of functionality without needing to invest in premium features directly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
