Even though this software is heavily packed with features, I appreciate the intuitive layout, the ease of use, and the low learning curve; I was up and running very quickly.

When validating documents, errors are highlighted in different colors, indicating the severity of the mistake.

I'm pretty new to HTML and CSS, so as a student, the color scheme helps me to catch errors very quickly which is very helpful.

Very fast and easy to use. Allowed me to find errors and explanations quickly and easily.

I am very impressed with CSS HTML Validator software.

Easy to turn off warning messages, if you don't want to be warned about a specific error.

The frequent updates keep up with the many changes in the market. Easy to navigate to any and all of its features.

I think this software is great. The pro version is the best because it analyzing the entire website and not just individual pages.

You can choose the level of error reporting from critical errors only, or add warnings, link checking, and even suggestions on good style practices and appropriate coding for web crawlers.

This software easily validates your HTML code, saving time and money when working on important projects.

Editor and validators are customizable. Excellent technical support.

Been using it for years to create web pages. Easy to use, but occasionally the error message or suggested correction is hard to understand.

Simple and standard layout. Intuitive and easy to adjust to after using other products in the past.

This stuff has to look perfect to even have a chance of being read.

Once in a while I come across an error message that doesn't make sense or is confusing.

M pretty new to HTML and CSS, so as a student, the color scheme helps me to catch errors very quickly which is very helpful.

It has been a fantastic experience working with the CSS HTML Validator, I would definitely recommend this software to a friend.

I've yet not to been able to solve an HTML error.

I continue to recommend it to my students when I find out they are doing any kind of webpage development.

Easy to use, gives you virtually instant feedback and helps insure you pages are properly formatted.

Besides no FTP, I havnt had any cons about the software.

R is one of the simplest programming languages and R-studio makes full use of its capabilities. The R community is amazing and provides immense support where needed.

Overall, I could write my desired code and do my job using powerful packages which were available.

Since it is open source there are many add ons that you can implement to the library to improve its functionality.

The problem of backwards compatibility of different versions of R and R packages is not an RStudio problem, and RStudio works with all versions of R and R packages.

It is super easy to use and convenient. Cheap compared to competitors.

Quite satisfied and content for R programming with RStudio.

The inability to create a collaboration project.

Ease of use, debugging, and GUI are the best in the buisiness when it comes to R IDEs.

RStudio is a delightful IDE for working with Rlang and data.

I can analyze and get beautiful and explanatory graphics in a few minutes. The coding part is very handy and it can be editing and saved so you do not lose any code or project for the future.

The user interface makes it extremely easy to organize and visualize data sets and it extremely useful for teaching. R studio is also easy to download and install and is free for individual users.

There are no major dislikes about R studio, being a free software it does depend on the open source community for continuing development, which can be arguably not beneficial to the software.

R studio is an improved version to manage and execute code in the R platform.

Highly recommended to the researchers who are handling large data set.

If you are looking for a free tool to do data analytics with RStudio will do what you need it to do. If ever given the option I will always use RapidMiner or another software that has a better GUI.

Overall, I love how powerful it is and like how many different packages are available.

Great open source software for data and statistical analysis, user friendly and minimized code writing, good supportive libraries and great infographs.

I have found using RStudio intuitive, easy, and fun to use.

This might be a pain point for R overall and not specifically for R studio. However, there are different syntaxes for doing one task when working with some data types, which might get confusing.

It has a very nice user interface with advanced code highlighting, viewing data environment, help, and graphs in the same window.

The layout of the screen and the ability to break out separate windows is really great and makes using the software on a single screen or multiple screens very friendly.

As every programming language it may a bit difficult at the start to learn.

In my opinion, Rstudio provides the best environment to be used by statisticians and data scientists. The software is great and its supporting website provides a lot of tutorials.

I typically use RStudio to solve research issues such as data analysis of growth mindset. I would highly recommend it for free, convenient data analyses.

The very best second thing is this is open-source software( you do not need to buy it).

The ability to install missing R packages instantly, creating R Markdown documents, and integration with Shiny Web App are the most appealing features for me as a machine learning researcher.

A GUI interface for data manipulation and visualisation.

I also found it difficult to intergrate R studio with other languages such as python or C. It also seems catered to more of a data science analysis approach rather than programming and execution.

R-studio automatically updates periodically which can be a pain. Also, it cannot run multiple queries at the same time.

R Studio - larger learning curve than SPSS but will save you money.

Overall R studio is an excellent product and a great tool to supplement teaching statistics and algebra II at the high school level and any statistics and data science class at the college algebra.

It's a great software which generate outputs very easily using a coding system. And also it includes thousands of useful packages.

Also plotting graphs, curve fittings etc can be done with ease.

I really love how versatile it is in creating professional looking graphics and tables, as well as how intuitive the syntax is to learn.

Awesome light and dark mode for user preferences. Direct git integrations for faster and convenient coding with collaboration.

My overall experience with R-Studio has been positive and I have been able to effectively analyze a large amount of data and write papers on it.

Amazing matematical programming language. I use it often in my job to perform data analysis.

Rstudio can be very confusing at times, and as a code editor, sometimes the errors do not make sense.

Objects' explorer is a must in data science, and Rstudio's is particularly good for exploring and giving lot of information about every object in a glimpse. Multi-platform: GNU/Linux, Windows, Mac.

R Studio is my sought after Machine learning programme, I am so fascinated about how to use it scale business. All our credit models are built in R.

R is an amazing programming language designed to perform statistical analysis and calculations.

It is the swiss army tool of a data-scientist. Thanks to its huge community any doubt you may have can be replied easily by a simple search on internet, or by asking in forums.

It's clean, sleek interface is very intuitive and user friendly. It can handle large amounts of data and it suggests functions as you type, making it very beginner friendly.

Although GGPLOT package provides a lot of features for graphical representations, it is very difficult to handle.

The major disadvantage is the inability to use it for core code development, lack of flexibility in writing deep learning or neural network  models.

I love the price of R/Rstudio - free. Competitors such as SPSS/IBM are expensive for one year licenses.

I like the completeness of RStudio as an IDE. It has lots of useful features and integrations with R packages that just boosts my productivity.

So many steps and packages that you have to be very careful or you are gonna end up very frustrating and angry.

US Dollar

CSS HTML Validator for Windows is a fast, powerful, highly user configurable, and easy to use professional web development tool that checks HTML, CSS, accessibility, SEO, PHP, XHTML, JavaScript, links, and more.

The latest version of CSS HTML Validator includes updated HTML5 & CSS support, accessibility checking (including WAI-ARIA and WCAG 2.1), SEO support, mobile development support, PHP and JavaScript checking, link checking, spell checking, and an integrated editor.

A powerful Batch Wizard in the Pro and Enterprise editions lets you easily validate entire websites and multiple HTML documents.


LongDescription

Link Analytics

Customizable Reports

SEO Management

Broken Link Discovery

Custom Development

Compliance Management

Text Editing

Reporting & Statistics

Code Review

Website Management

For Websites

Drag & Drop

Link Management

Keyword Research Tools

Search/Filter

CSS HTML Validator for Windows is available in 3 editions: Home ($69), Pro ($129), and Enterprise ($349).

Email/Help Desk

FAQs/Forum

Phone Support

Self-Employed

2-10

11-50

51-200

201-500

501-1000

1000+

CSS HTML Validator

Documentation

RStudio is an integrated development environment for R and Python. This software is ideal for data scientists, DevOps engineers, and IT admins. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management.

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