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Über R-Studio Data Recovery

Leistungsstarke und kostengünstige Software zur Wiederherstellung von Daten, die auf lokalen und Netzwerkfestplatten funktioniert.

Erfahre mehr über R-Studio Data Recovery

Zeigt 71 Bewertungen

Jason L.
Jason L.
Hospitality Intelligence Consultant in USA
Verifizierter Nutzer auf LinkedIn
Gastgewerbe, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Easy IDE

5 vor 3 Jahren

Kommentare: 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.

Vorteile:

Such a user-friendly IDE. It makes managing all of my active data objects, visualizations, and packages extremely easy.

Nachteile:

Nobody will ever accuse R or R Studio in being the fastest or most memory-efficient software.

Evelyn B.
Evelyn B.
UX Researcher in USA
Verifizierter Nutzer auf LinkedIn
Gesundheit, Wellness & Fitness, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Great for stats!

4 letztes Jahr

Kommentare: Overall, it is a great tool for stats analysis. I would recommend it to any analyst.

Vorteile:

I like that this software is easy to use and learn. It is helpful for statistical modeling and doesnt require too much training.

Nachteile:

I do not like that it does not have as much help documentation as other tools i have used.

Marie S.
Teacher in USA
Bildungsmanagement, 51-200 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

R-Studio, Computing

3 vor 7 Monaten

Kommentare: Overall, I found it difficult to use. It has a lot of functionality and some great plotting features, but I have found other programs that are a lot easier to use that do the same tasks.

Vorteile:

I like the way you can easily put a lot of code on one line and separate work easily. The functionality of exporting makes it easier to add onto the code or even import it into already, made work, like Word documents.

Nachteile:

There's a lot of confusing aspects about this software. Sometimes, the errors make it really difficult to figure out what's wrong and there should be more help support, and online information

Morgan D.
Student in USA
Tiefbau, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

RStudio for all things statistics

5 vor 10 Monaten

Kommentare: I've used RStudio for many years to process the data associated with my PhD research. It is particularly useful for all statistics needs.

Vorteile:

Rstudio is extremely easy to use. My favorite feature is the plotting tab. The plotting window makes it is to refine your graphics and look at the output in real time. Additionally, the top right window "Environment" let's you check on the data you have loaded into the workspace, very convenient to have a graphic user interface to look at the data tables instead of writing in a view or print line of code.

Nachteile:

The biggest pain point for me is occasionally crashing of the program due to the large size of the files I work with.

Aastha B.
Aastha B.
Sr. Project Manager in Indien
Verifizierter Nutzer auf LinkedIn
Marktforschung, 51-200 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

R Studio Review 2020

5 vor 2 Jahren

Kommentare: Data Visualization, Tabulation, Data Analysis

Vorteile:

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.

Nachteile:

There are long codes if we can reduce the coding a bit and can add drag and drop features. Otherwise its a great tool.

Jay M.
Jay M.
Student in Indien
Verifizierter Nutzer auf LinkedIn
Industrieautomation, Selbstständig
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Simply Amazing!

5 vor 2 Jahren

Kommentare: I have made an image classifier on both, Python and R.

Vorteile:

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.

Nachteile:

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.

Matheus A.
Matheus A.
Consultant in Brasilien
Verifizierter Nutzer auf LinkedIn
Welthandel & internationale Entwicklung, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

R-Studio - the main IDE for R

5 vor 2 Jahren

Kommentare: R-studio is the main integrated development environment (IDE) for R and it is very good.

Vorteile:

R-studio allows a much more user friendly use of R. It integrates four basic screens (script, console and 2 support screens for help, environment, etc) and features like markdown.

Nachteile:

User friendly as it is, R-studio still needs you to know how to use R language which might have a steep learning curve for some.

Reyhaneh B.
Graduate Research Assistant in USA
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, Selbstständig
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

R-Studio Review

4 vor 3 Jahren

Kommentare: I am using it for almost 2 years and it makes me like the programming much more!

Vorteile:

It is user friendly. Make using R programming easy with its features.

Nachteile:

Sometimes is does not run properly and needs to be restarted

Ellie A.
Bureau Scholar in USA
Forschung, 11-50 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Crucial if You Want to Learn R

5 vor 10 Monaten

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Obi E.
Student in USA
Forschung, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

The best

5 vor 8 Monaten

Kommentare: My experience with this software has been great and I highly recommend it.

Vorteile:

I have been using R-studio for programming and data analysis and it is the best so far. It is free, easy to use, adept at handling big data and data visualization. It is easy to collaborate using Github.

Nachteile:

I have been using R-studio for programming and I have not experienced any problems with this software.

Andra P.
PhD student in USA
Bildungsmanagement, 5.001-10.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Powerful data analysis software for working with multiple large datasets at once

5 vor 2 Jahren

Kommentare: Overall, R is an excellent data analysis platform, that allows for the creation of polished graphs, and includes a large number of packages that make data analysis easy and intuitive. It very rarely if ever crashes and allows for pulling data from different datasets. Some commands are more complicated than comparable code lines in other programs but usually any issues can be solved by a search engine inquiry.

Vorteile:

I use R to analyze data for academic papers. Most recently, I used it to analyze a large dataset of survey responses, and what I like the most is that it can manage using data from different datasets all at once, which is great for large projects. I also think that R is very intuitive when it bounces back with an error to the user, because it explains what the issue is in more detail than other comparable data analysis programs. Lastly, I really like the fact that R very rarely, if ever crashes and that the data analysis code is saved whenever there is a package that requires the program to restart. The packages are also great and allow you to solve more complex data issues than other programs, and it R is particularly adequate for polished graphs, using the ggplot package.

Nachteile:

My least favorite part about R is that it is sometimes surprisingly complicated in terms of the code required to complete simple tasks like rename a variable, but there are a lot of forums online for R support, so usually any issues are a search away. I also think R is not quite as good as other programs at giving detailed information on the results of data matching or reshaping data, but this is only a true issue for very specific research projects.

Verifizierter Rezensent
Business Research and Data Analytics Intern in USA
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

For all statistics and data analysis needs

5 vor 3 Jahren

Vorteile:

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.

Nachteile:

I like everything about this tool, I would definitely recommend this to all R programmers

Ching-che C.
software engineer in USA
Bankwesen, 5.001-10.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Statistics is easy to use because of it

4 vor 2 Jahren

Vorteile:

It's easy to use , to make statistics easier for all people. and it is open source ! Great. interface is good.

Nachteile:

some functions and packages are hard to understand that i still need to check them online though it has some brief explanation on it.

Athira K.
research scholar in Indien
Tiefbau, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

A perfect solution for all your data analysis problems

5 vor 11 Monaten

Vorteile:

Initially its really difficult similar to all other coding language, once understand the logic, then it will be easy like anything. we can use different packages and do all difficult statistical problems in simple commands. highly reliable and handle large number of files at a time.

Nachteile:

we should have the logic to use this language, by practice only we can develop it

Verifizierter Rezensent
Bioinformatics Scientist in USA
Verifizierter Nutzer auf LinkedIn
Krankenhausversorgung & Gesundheitswesen, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Definitely Recommend

5 vor 3 Jahren

Kommentare: Overall its an A+ product, I highly recommend.

Vorteile:

Almost everything about this is good, the documentation, syntax, github integration, the packages for ML applications and more.

Nachteile:

It can be little slow and glitchy at sometimes but most of the time its does not disappoint.

Rodrigo G.
PhD in UK
Forschung, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Losing files is an unfortunate situation solved (in most cases) by R-Studio

4 vor 3 Jahren

Kommentare: A very good experience that is uncommon but if it happens, it needs to be done. It is a corrective type of maintenance in a way.

Vorteile:

It is a very simple data recovery tool which can perform well for data deletion or damaged disks. I only used it once some while back to recover important data that was stored in an iPod Classic (in disk mode) which started failing. The process was flawless and fast.

Nachteile:

Given the nature of the disk drives and as the data tends to be rewritten after a while in the spaces freed by the table of contents (TOC), it is mostly useful when the recovery happens almost immediately after the event, which limits the recovering power of real old data.

Hieu t. P.
Research Data Scientist in USA
Verifizierter Nutzer auf LinkedIn
Chemikalien, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

R-Studio

5 vor 3 Jahren

Kommentare: R-studio is perfect.

Vorteile:

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.

Nachteile:

Sometimes when updating, the packages are gone!

Verifizierter Rezensent
Actuarial Analyst in USA
Verifizierter Nutzer auf LinkedIn
Versicherung, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

RStudio is the Best Way to Use R

4 vor 2 Jahren

Kommentare: Working with R Studio is great, it is easy to pick up for beginners as well as is a powerful IDE for advanced users. Code written in RStudio can be published and shared with ease.

Vorteile:

Using RStudio allows a user to get the most out of R. It is very easy to install and use packages. New packages can be learned and understood very quickly with the help function and the examples that they provide. Images and graphics can be displayed, resized, exported as the user needs them to be.

Nachteile:

Some of the defaults can be difficult to work with. Depending on what a user is planning on using R for certain defaults can be poor ways of displaying information, such as when to use scientific notation. Additionally, it is possible to perform actions that either cause infinite loops or could run for days if uninterrupted.

Shelby H.
computer technician in USA
Computer-Hardware, 2-10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

R-Studio is a definite go to in the data recovery industry!!

5 vor 2 Jahren

Kommentare: With R-Studio being an option for our business, we are not only able to use our DDI Disk Imager for data recovery but also R-Studio. Sometimes the drive is not failed but files have just been deleted and R-Studio is the man for that job getting the deleted files back.

Vorteile:

R-Studio is reliable, can recover deleted files, easy to use. We use R-Studio at our data recovery business "Total Access Data Recovery" so often.

Nachteile:

The only con is the cost of the program but the cost of data recovery is much higher so it paid for itself.

Jorge M.
UX Researcher in USA
Bildungsmanagement, 201-500 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

"R" is your savior and nemesis

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Analyst in USA
Verifizierter Nutzer auf LinkedIn
Staatsverwaltung, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

A great tool for data analysis

5 vor 2 Jahren

Kommentare: Excellent for data analysis for large data files.

Vorteile:

Free, open-source, incredibly rich community of online users, there is seemingly a package for any type of work you are trying to do.

Nachteile:

Somewhat steep learning curve, some packages don't work on government servers, overall straightforward syntax but some challenges.

Fan xuan C.
Graduate Teaching Assistant in USA
Bildungsmanagement, 5.001-10.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Do anything you want (with Statistical analysis)

5 vor 2 Jahren

Vorteile:

R is known for super high flexibility - allowing you to customize calculation, write codes that fit your analysis goals, etc. No restrictions whatsoever - what you can think you can make it happen in R.

Nachteile:

One may need to learn about R language to start with, which might be painful at the beginning, but it is worth the time!

Verifizierter Rezensent
Peer Teaching Assistant in USA
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, Selbstständig
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Excellent for analytics and data manipulation!

5 vor 3 Jahren

Kommentare: R is incredibly simple and allows for easy manipulation and analyzation of data. It is a tool that handles anything from basic data manipulation to complex machine learning applications.

Vorteile:

R-Studio is great for doing any form of statistical analysis. R is very easy to learn and everything seems to flow once you get the basics down. There are countless number of packages that you can use to make your analytics and data manipulation easier. There are even packages to allow you to use python libraries and tools.

Nachteile:

No major complaints. Sometimes it's difficult to find the packages (and their documentation) easily. I often find myself googling things instead of using the built in help function.

Verifizierter Rezensent
Real Estate Agent in USA
Verifizierter Nutzer auf LinkedIn
Immobilien, 501-1.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Valuable

5 vor 3 Jahren

Kommentare: With R I have actually used some of the predictive modeling to help make some financial decisions where I work and it has been very valuable for what our needs are.

Vorteile:

I really like being able to make predictive models through R. Ive been using this software for about 8 months now and I feel like I am staring to get the hang of it. it requires just a good background in coding but the applications that you can use it for are great! Ive learned how to calculate discrete probability functions on R and its very accurate. oh and its free!

Nachteile:

My biggest complaint about R is the huge learning curve that comes along with trying to learn it. I have to say that I was very frustrated at times. I had no previous experience in small amounts of coding or statistics but I must say that this software is good when you get the hang of it

Verifizierter Rezensent
System Engineer in USA
Verifizierter Nutzer auf LinkedIn
Computer-Software, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

On of the best data analysis and visualization tool

4 vor 3 Jahren

Kommentare: Great tool !! Definitely recommended.

Vorteile:

1. Open source 2. Numerous packages available to support various functionalities 3. Great support offered 4. User-friendly

Nachteile:

1. In-built functionalities could be added to offer in-house features 2. Need to install package each time using a new functionality