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Un logiciel performant et économique de suppression et de récupération des données qui fonctionne sur les disques locaux et réseau.
To become a Data Scientist we need to understand R. Most if the features are free of cost.
Error messages are not always clear, and different R-studio versions can run differently, or not at all, with some library packages.
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R studio
Avantages :
Pratique pour croiser rapidement les données d’un dataset
Inconvénients :
Il faut vraiment être au point sur les formules à utiliser L’indication des fonctions entre parenthèses n’est pas toujours tres compréhensible
Easy IDE
Commentaires : I use R Studio on a daily basis to interact with data. It's my go-to software anytime I need to do something too big for Excel or something that might need to be repeated.
Avantages :
Such a user-friendly IDE. It makes managing all of my active data objects, visualizations, and packages extremely easy.
Inconvénients :
Nobody will ever accuse R or R Studio in being the fastest or most memory-efficient software.
Great for stats!
Commentaires : Overall, it is a great tool for stats analysis. I would recommend it to any analyst.
Avantages :
I like that this software is easy to use and learn. It is helpful for statistical modeling and doesnt require too much training.
Inconvénients :
I do not like that it does not have as much help documentation as other tools i have used.
Do not buy this product. They treat people with disabilities like garbage.
Commentaires : I had a minor technical issue and R-Studio would not spend 30 seconds on the phone assisting me, a person with a disability who cannot process their written instructions. I don't whine about my disability. I simply ask for an accommodation, which, in my country, is required by law. I hope consumers who require data recovery software consider alternative products before giving their money to these ignorant people.
Avantages :
I think it can work if you understand how to use it.
Inconvénients :
The instructions are now impossible for me to understand. I have owned this software for many years; however, my disability is worse and I could not get through the first step.... Select Drive. It was always "greyed out." I phoned tech support because I have a disability... HE WOULD NOT HELP ME! I told him I cannot email because of my disability... He told me to hire a professional data recovery company. I said nothing is wrong with my drive, I am only looking for one file. He said he had another call and he hung up on me.
For all statistics and data analysis needs
Avantages :
R studio - IDE is has made coding in R easier. This software stands out from other such IDEs for different programming platforms because of its ease of installation (Won't face problems related to environment variable/path as often as faced by other tools) and features - the notepad/console/library etc are available in others but this tool lets you look at the variables/dataset - sort and filter interactively without having to code every step. R studio is available in the cloud version as well - so we need not install it in every computer in case we want to use on the go.
Inconvénients :
I like everything about this tool, I would definitely recommend this to all R programmers
Definitely Recommend
Commentaires : Overall its an A+ product, I highly recommend.
Avantages :
Almost everything about this is good, the documentation, syntax, github integration, the packages for ML applications and more.
Inconvénients :
It can be little slow and glitchy at sometimes but most of the time its does not disappoint.
R-Studio
Commentaires : R-studio is perfect.
Avantages :
It has traceback that can help find where the error is. It has a very good tool for customizing it. It is flexible in changing windows.
Inconvénients :
Sometimes when updating, the packages are gone!
R Studio Review 2020
Commentaires : Data Visualization, Tabulation, Data Analysis
Avantages :
R is a great software. Its a standalone software that helps in meeting all the data analysis tasks like - Data Processing, Data Tabulation, WEighting, Data Visualization , Reporting, Data Transformation everything. To become a Data Scientist we need to understand R. Most if the features are free of cost.
Inconvénients :
There are long codes if we can reduce the coding a bit and can add drag and drop features. Otherwise its a great tool.
Simply Amazing!
Commentaires : I have made an image classifier on both, Python and R.
Avantages :
I work on datasets while pursuing my ambition to be a part of Data Science. The first and foremost step is to process the given data. Earlier I used to use Pycharm for all my work but R-Studio is the one tool I missed. I realized that lately. It has already inbuilt libraries which reduce the code and hence the workload by half. All you need to do is call the given library.
Inconvénients :
I couldn't find any flaw as such. Even if you work on Python or R, your code must be correct. Be careful about the indexing as it is different in both. Also, sometimes python helps in detailed analysis.
R-Studio can save the day
Commentaires : I have been able to restore data for users who have no backup and have thousands of pictures and vital data.
Avantages :
The ability to image seemingly dead hard-drives and restore data is powerful. Also the ability to connect to remote systems is another great feature.
Inconvénients :
At present, it does well with the intended purpose. I have not had any issues that I would consider to be a con.
Very capable recovery software
Commentaires : We have used this for several years to recover lost files and lost file systems for our customers.
Avantages :
One of the most amazing features of this software is the ability to reconstruct failed RAID arrays. You can images the individual drives, then build the virtual array in the software. Once done, you can recovery files from the old array without it being intact. This alone makes this software invaluable, but it also routinely outperforms nearly any other software we compare it to.
Inconvénients :
It has a slight learning curve, and it takes a little longer than most of our other recovery software options. But it works better than most, so we are ok with that.
A reliable and effective tool for recovering lost data.
Commentaires : A reliable and effective tool for recovering lost data.
Avantages :
This is a great tool for recovering lost or deleted data from various types of storage media. The interface is user-friendly and the scanning process is fast and efficient. The software supports a wide range of file systems and can recover files in many different formats. One downside is that it can be a bit pricey compared to other data recovery software. Overall, R-Studio Data Recovery is a reliable and effective tool for recovering lost data.
Inconvénients :
One downside is that it can be a bit pricey compared to other data recovery software.
"R" is your savior and nemesis
Commentaires : I loved that it was free and worked well. However, it definitely made life a little bit more complicated because I just could not figure out things on my own. Do R if you have a bunch of friends jumping on it with you because it requires a lot of team effort and help.
Avantages :
Nothing beats free and that is for sure true with R statistics because it offers a great range of functions for free. It is such a beautiful software to do graphs and run regressions.
Inconvénients :
Free, of course, comes at a price. Ironic, right? it definitely will take a long time before you feel proficient at what you are doing in "R". It requires a lot of guidance to know you are on the right track. I had to spend hours of hours with a TA to figure out how to use it at a low intermediate level.
Rstudio Review
Commentaires : I'm analyzing a survey made to investigate the labor situation of civil engineers in Honduras. Im preparing all the analyses with R
Avantages :
What I like the most is that it is free. It also has a more friendly interface than other software programs like pyhton or matlab. I'm using it now for my learning in the data science area and it is very handy when you have a great amount of data
Inconvénients :
It is easier to use excel to wrangle and clean data. However, it depends, if the amount of data is too much, excel would not have the capacity to run. For now, I'm ok by cleaning and ordering data in excel and then make my data analysis in R
Crucial if You Want to Learn R
Commentaires : If you are going to use R, you must download R Studio with it. It's free and makes the tool easier to work with.
Avantages :
R Studio allows you to utilize R coding in a much more visually appealing way than the tool itself. It makes data visualization better-looking, the coding itself easier to construct, and overall makes life easier.
Inconvénients :
Some of the features for saving your projects and coming back to them can get a bit tricky. Sometimes when I try to go back to a saved project it gets messed up or I can't find it. However, this could easily be user error.
Great Platform for R
Commentaires : Great experience, developed and deployed a lot of scripts.
Avantages :
Very well integrated platform to develop scripts in R. Lots of pre installed modules really helps to automate the repetitive work which are prone to human error. Since it is open source dubugging is quite easy. More user friendly than python.
Inconvénients :
Not very well integrated as compared to python based platforms.
Great Program to Pick-up Fast
Avantages :
R-studio is a very easy to navigate program that allows you to do every action in R but with the extra help and instruction. With this software, you can also adjust the settings to your liking so you can work comfortably. Very helpful tools allows questions to be answered quickly and informatively.
Inconvénients :
R-Studio sometimes has a few too many things going on at once so it sometimes gets hard to navigate and will lose where you are working.
R Studio- Easy to use
Commentaires : I used R Studio for a beginning stats class. I have coding background so I figured it out pretty easily. Others in my class really struggled because even the help sites are expained with code. Be fore you use R studio, be sure to take a coding class.
Avantages :
R studio is pretty easy to use if you have some coding background. It was pretty easy to find help for most of my questions on the web.
Inconvénients :
Some of the packages are not stable. If you are a beginner, this may not be the stats software for you.
Best Software for Statistics and Data Science
Avantages :
First of all, R is free. You can download R and R studio for free. It is widely used in statistics and data science class. It is good for tidying datasets and visualize data. It is also good to conduct statistical tests with a lot of built-in packages.
Inconvénients :
It is not good for for loops. It will take a while to run. It is a little bit slower for machine learning stuff. I would rather use Python since it is faster.
Very powerful software... once you know how to use it
Commentaires : We are using R-studio for a variety of data analyses, mostly with apps designed for R-studio with Shiny. We will be using these apps in future publications.
Avantages :
R-studio is extremely powerful in terms of data analysis including apps, graph generation, statistics, etc.
Inconvénients :
Error messages are not always clear, and different R-studio versions can run differently, or not at all, with some library packages.
The best free IDE software for statistics and analysis
Avantages :
R Studio is free, there's many plots and statistical analysis functionalities, graphs and a lot more. Easy to create R Notebooks and keep your code organized and presentable.
Inconvénients :
As R Studio is free and can do almost the same kind of stuff as MATLAB that is paid I think there's nothing to complain about.
Useful for economic regressions, but difficult to use
Avantages :
It helped me complete homework for my class by allowing me to run economic regressions and evaluate statistical data.
Inconvénients :
It was pretty difficult to use as I have never coded before and had errors that held me back for hours. For non-coders, it can be very difficult to use.
Review R
Avantages :
R studio is the gold standard for modern day coding solution. I just love it
Inconvénients :
The UI could be better, long scripts of code starts becoming confusing because of its not so good UI
Medical Statistics with R-Studio
Commentaires : R-Studio is a widely used programming software that could be used for medical research applications.
Avantages :
It is pretty easy to adapt to using R-Studio for statistical analysis even if you have limited programming knowledge.
Inconvénients :
Having training modules integrated to the program would facilitate the adaptation process.
R-Studio Data Recovery tool is relatively cheaper than other top recovery tools on the market
Avantages :
The price is unbeatable and it is very easy to use.
Inconvénients :
It was only helpful, honestly. Yet to find a downside.