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  5. JavaScript vs R

JavaScript vs R

OverviewDecisionsComparisonAlternatives

Overview

JavaScript
JavaScript
Stacks392.3K
Followers284.0K
Votes8.1K
R Language
R Language
Stacks3.9K
Followers1.9K
Votes418

JavaScript vs R: What are the differences?

  1. Data Types: One key difference between JavaScript and R is the data types they support. JavaScript has dynamic typing, meaning that variables can hold values of different types. It supports both primitive data types (such as numbers, strings, booleans) and composite data types (such as arrays and objects). In contrast, R has strict typing, where variables are assigned specific data types that cannot be changed. R supports various data types including numeric, logical, character, and factors.

  2. Syntax: Another difference lies in the syntax of the two languages. JavaScript uses curly braces ({}) to define blocks of code and semicolons (;) to separate statements. It also follows a C-style syntax, which means that it uses parentheses and operators in a similar way as languages like C and Java. On the other hand, R uses indentation as a way to define blocks of code and does not require semicolons to separate statements. R follows a more statistical-oriented syntax, with functions and operators tailored for data analysis and manipulation.

  3. Object-Oriented Programming: JavaScript is a multi-paradigm language, meaning it supports both procedural and object-oriented programming (OOP). JavaScript allows the creation of objects, use of inheritance, and other OOP concepts. In contrast, R has a slightly different approach to OOP. It supports S3 and S4 object systems, which are different from traditional class-based OOP. R's object-oriented facilities are more focused on data modeling, and they are widely used in statistical modeling and package development.

  4. Visualization: JavaScript is commonly used for interactive and dynamic visualizations in web development. It has libraries like D3.js that provide powerful tools for data visualization and animation. R, on the other hand, has its own extensive set of visualization libraries, such as ggplot2, which are highly specialized for statistical graphics and data exploration. R's visualization capabilities are particularly suited for generating static and print-ready plots.

  5. Integration with Web Technologies: JavaScript is an essential language for web development and has strong integration with HTML and CSS. It can be directly embedded into web pages, interact with DOM elements, and respond to user events. R, on the other hand, is not primarily designed for web development. While R can generate HTML reports and interactive web content using packages like Shiny, it requires additional frameworks or tools to achieve seamless integration with web technologies.

  6. Community and Packages: Both JavaScript and R have extensive ecosystems of community-contributed packages and libraries. However, the focus and types of packages differ. JavaScript's package ecosystem is vast and covers a wide range of areas, including front-end and back-end development, machine learning, and more. R's package ecosystem, although smaller in comparison, is highly specialized for statistical analysis, data manipulation, and visualization. R's community also has a strong focus on reproducible research and provides packages for statistical modeling and reporting.

In Summary, JavaScript and R differ in their approach to data types, syntax, support for object-oriented programming, visualization capabilities, integration with web technologies, and the types of packages available in their ecosystems.

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Advice on JavaScript, R Language

Andrew
Andrew

Chief Software Architect at Xelex Digital, LLC

Jun 27, 2020

Decided

In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.

To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.

Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.

For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.

That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.

We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.

As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.

447k views447k
Comments
Nathan
Nathan

Fullstack Developer at Alpsify

Sep 23, 2020

Needs advice

Am I the only one to think that libraries like Bootstrap, Vuetify, Materialize, Foundation are too much sometimes ?

Most of the time you are loading all the library and using 10% of it. And on that 10% you are modifying 90% of it.

I feel like using grid and pure CSS / JS are enough and cleaner.

101k views101k
Comments
Muhamed
Muhamed

Apr 28, 2020

Needs adviceonPythonPythonJavaScriptJavaScriptDjangoDjango

I am currently learning web development with Python and JavaScript course by CS50 Harvard university. It covers python, Flask, Django, SQL, Travis CI, javascript,HTML ,CSS and more. I am very interested in Flutter app development. Can I know what is the difference between learning these above-mentioned frameworks vs learning flutter directly? I am planning to learn flutter so that I can do both web development and app development. Are there any perks of learning these frameworks before flutter?

737k views737k
Comments

Detailed Comparison

JavaScript
JavaScript
R Language
R Language

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

Statistics
Stacks
392.3K
Stacks
3.9K
Followers
284.0K
Followers
1.9K
Votes
8.1K
Votes
418
Pros & Cons
Pros
  • 1671
    Can be used on frontend/backend
  • 1497
    It's everywhere
  • 1163
    Lots of great frameworks
  • 899
    Fast
  • 746
    Light weight
Cons
  • 24
    A constant moving target, too much churn
  • 20
    Horribly inconsistent
  • 16
    Javascript is the New PHP
  • 9
    No ability to monitor memory utilitization
  • 8
    Shows Zero output in case of ANY error
Pros
  • 86
    Data analysis
  • 64
    Graphics and data visualization
  • 55
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
Cons
  • 6
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 3
    Arrays indices start with 1
  • 2
    Messy syntax for string concatenation
  • 2
    No push command for vectors/lists

What are some alternatives to JavaScript, R Language?

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Swift

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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