R-Studio Data Recovery Erfahrungen

Great for stats!

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.

R Studio Data Recovery

Kommentare: R Studio Data Recovery is a product I used during my time in University. While not necessary to operate in R, I certainly found the platform useful in learning user controls.

Vorteile:

R Studio Data Recovery makes R more user friendly and accessible.

Nachteile:

While useful, R Studio is not entirely intuitive; I anticipate many first time users would still require detailed instructions.

Do not buy this product. They treat people with disabilities like garbage.

Kommentare: 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.

Vorteile:

I think it can work if you understand how to use it.

Nachteile:

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.

Review R studio

Vorteile:

R studio data recovery helps you use more efficiently the R Studio platform

Nachteile:

As well know from R studio there’s always a bit of lack on the performance compared to competitor

Easy IDE

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.

R Studio Review 2020

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.

R-Studio can save the day

Kommentare: I have been able to restore data for users who have no backup and have thousands of pictures and vital data.

Vorteile:

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.

Nachteile:

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

Kommentare: We have used this for several years to recover lost files and lost file systems for our customers.

Vorteile:

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.

Nachteile:

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.

Great Platform for R

Kommentare: Great experience, developed and deployed a lot of scripts.

Vorteile:

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.

Nachteile:

Not very well integrated as compared to python based platforms.

Simply Amazing!

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.

A reliable and effective tool for recovering lost data.

Kommentare: A reliable and effective tool for recovering lost data.

Vorteile:

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.

Nachteile:

One downside is that it can be a bit pricey compared to other data recovery software.

University lecturer

Kommentare: I am doing on it up to now.

Vorteile:

It is friendly software. we can easily access it.

Nachteile:

There is no limitation to this software.

Great IDE for R.

Vorteile:

This IDE is great for developing and data science in R. It is easy to view the environment you’re working in to check versions of packages and variables. It’s also the industry standard for R, so there are tons of online reasources.

Nachteile:

I frequently work on different projects, so having to constantly make a new workspace for each new project is tedious.

A perfect solution for all your data analysis problems

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

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

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.

Best Software for Statistics and Data Science

Vorteile:

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.

Nachteile:

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.

R studio is powerful

Vorteile:

I like that you can download and install various packages with powerful functions to help analyze and visualize data. Anyone can use or contribute their own packages.

Nachteile:

When the amount of data is huge, R studio tends to slow down or take a long time to process. Perhaps Python would be better in this case.

Rstudio Review

Kommentare: I'm analyzing a survey made to investigate the labor situation of civil engineers in Honduras. Im preparing all the analyses with R

Vorteile:

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

Nachteile:

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

R-Studio is great for data analysis

Vorteile:

It's a free software that can do heavy duty mathematical calculations, data analytics/programming, and can use add-ons like Latex to type-set mathematic symbols.

Nachteile:

There is a learning curve and it's not easy in the beginning, but worth learning!

Great Product with excellent features

Kommentare: I had a great experience using this software. It has got exceptional statistical libraries which saves a lot of coding time.

Vorteile:

It is an open-source software and the packages are great.

Nachteile:

Not much to dislike the product. But the command window could have a little better.

The best

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.

If you are working in R then this is the tool.

Kommentare: Overall it is a good IDE for R language and user-interface is best in it.

Vorteile:

The best thing is user-interface and if you are dealing with heavy code R is there for your help. Variables are pre-defined there you can use autocomplete features to make coding convenient.

Nachteile:

Sometimes the process gets freeze and hand and it leads to your work loss as it is not autosaved. Some features and extensions are not run in an optimized and smooth manner.

Must have tool for recovery

Vorteile:

I've used this tool only a few times. But it'd a life saver. It's a easy recommendation to purchase!

Nachteile:

Absolutely no cons with this software! Well worth the price

A new face to just the editor window

Vorteile:

No need to toggle between tabs, all tabs in one place. Suggestions in-code are really helpful

Nachteile:

Still can be made more user friendly by changing a few things

Great tool to recover files

Kommentare: Overall the tool is great, I love the usability of the tool along with the ease to preview the files to be recovered beforehand allowing me to make sure I am recovering the right file before I do it.

Vorteile:

The tool is a great and easy to use tool to recover lost files from being lost forever. The user interface is great.

Nachteile:

The software is a paid one so there are limitations to the trial version and for use on a private capacity. The software name is the same as a widely used open source software used for the R programming language.