R vs Visual Basic

Overview

Visual Basic

Stacks569

Followers514

Votes8

R Language

Stacks3.9K

Followers1.9K

Votes418

R vs Visual Basic: What are the differences?

Differences between R and Visual Basic

R and Visual Basic are both programming languages but have several key differences. Here are six specific differences between the two:

Syntax: R has a syntax that is primarily based on the S programming language, which was designed for data analysis and statistical modeling. It uses a combination of functions and operators, and its code is generally written in a functional programming style. On the other hand, Visual Basic has a syntax that is more similar to traditional procedural programming languages. It uses a combination of statements, loops, and control structures, and its code is generally written in an imperative programming style.
Purpose: R is specifically designed for statistical analysis and data science. It has a wide range of packages and libraries dedicated to these tasks, making it a popular choice among statisticians and data analysts. Visual Basic, on the other hand, is a general-purpose programming language that can be used to create a variety of applications, including Windows desktop applications, web applications, and Office macros.
Integration with external tools: R is known for its seamless integration with external tools and languages. It can easily interact with databases, be used as an embedded language within other software, and has strong support for data manipulation and visualization. Visual Basic, while it can also interact with external tools, does not have the same level of support and integration as R when it comes to data analysis and statistical tasks.
Learning Curve: R can have a steeper learning curve compared to Visual Basic, especially for those who are not already familiar with programming languages. This is mainly due to its syntax and the specific terminology used in statistical analysis. On the other hand, Visual Basic has a more beginner-friendly syntax and is often considered easier to learn for those who are new to programming.
Community and support: R has a large and active community of users and developers, which means that there are many resources and support available for learning and troubleshooting. It also benefits from being an open-source language, with numerous packages and libraries that are constantly being developed and updated. Visual Basic, while it also has a community and resources available, may not have the same level of community and support as R, especially for specific statistical tasks.
Deployment options: Visual Basic has more deployment options compared to R. It can be used to create standalone applications that can run on various platforms such as Windows, iOS, and Android. In contrast, R is mainly used as an interactive language or as a scripting language within specific environments such as RStudio. While it is possible to deploy R code as a web application or as a service using packages like Shiny, Visual Basic provides more flexibility when it comes to deployment.

In summary, R is a statistical programming language specifically designed for data analysis and statistical modeling, with a syntax and functionality optimized for these tasks. Visual Basic, on the other hand, is a general-purpose programming language with a more beginner-friendly syntax and broader applications, but may lack some of the specialized features and integrations of R in the statistical domain.

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Advice on Visual Basic, R Language

Samuel

Oct 11, 2021

Decided

MACHINE LEARNING

Python is the default go-to for machine learning. It has a wide variety of useful packages such as pandas and numpy to aid with ML, as well as deep-learning frameworks. Furthermore, it is more production-friendly compared to other ML languages such as R.

Pytorch is a deep-learning framework that is both flexible and fast compared to Tensorflow + Keras. It is also well documented and has a large community to answer lingering questions.

158k views158k

Comments

Mohiuddin

Mar 7, 2022

Needs advice

Extract the daily COVID-19 confirmed cases for City1, City2, and City3 from all the cities. Normalize the daily COVID-19 confirmed cases for the three cities using their respective populations. The 2019 mid-year estimated population figures for City1, City2, and City3 are 100,000, 200,000, and 300,000 respectively.

df <- read.csv ("coronavirus.csv", header = TRUE ) library(dplyr) df %>% group_by(City.name) %>% summarise(Sum = sum(Daily.cases))

Cant select multiple variables from dplyr::Groupby. Can anyone help me with the right code along with the second part of the question as I am not able to find solution as well.

3.15k views3.15k

Comments

Detailed Comparison

Visual Basic	R Language
Visual Basic is derived from BASIC and enables the rapid application development (RAD) of graphical user interface (GUI) applications, access to databases using Data Access Objects, Remote Data Objects, or ActiveX Data Objects, and creation of ActiveX controls and objects.	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 569	Stacks 3.9K
Followers 514	Followers 1.9K
Votes 8	Votes 418
Pros & Cons
Pros 5 ALGOL-like syntax makes code more readable 3 XML Literals Cons 4 Specific to the microsoft platform	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 No push command for vectors/lists 2 Messy syntax for string concatenation
Integrations
.NET	No integrations available

What are some alternatives to Visual Basic, R Language?

JavaScript

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.

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

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

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 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

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 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# (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 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 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.

Related Comparisons

R vs Visual Basic: What are the differences?

Differences between R and Visual Basic

R and Visual Basic are both programming languages but have several key differences. Here are six specific differences between the two:

Syntax: R has a syntax that is primarily based on the S programming language, which was designed for data analysis and statistical modeling. It uses a combination of functions and operators, and its code is generally written in a functional programming style. On the other hand, Visual Basic has a syntax that is more similar to traditional procedural programming languages. It uses a combination of statements, loops, and control structures, and its code is generally written in an imperative programming style.
Purpose: R is specifically designed for statistical analysis and data science. It has a wide range of packages and libraries dedicated to these tasks, making it a popular choice among statisticians and data analysts. Visual Basic, on the other hand, is a general-purpose programming language that can be used to create a variety of applications, including Windows desktop applications, web applications, and Office macros.
Integration with external tools: R is known for its seamless integration with external tools and languages. It can easily interact with databases, be used as an embedded language within other software, and has strong support for data manipulation and visualization. Visual Basic, while it can also interact with external tools, does not have the same level of support and integration as R when it comes to data analysis and statistical tasks.
Learning Curve: R can have a steeper learning curve compared to Visual Basic, especially for those who are not already familiar with programming languages. This is mainly due to its syntax and the specific terminology used in statistical analysis. On the other hand, Visual Basic has a more beginner-friendly syntax and is often considered easier to learn for those who are new to programming.
Community and support: R has a large and active community of users and developers, which means that there are many resources and support available for learning and troubleshooting. It also benefits from being an open-source language, with numerous packages and libraries that are constantly being developed and updated. Visual Basic, while it also has a community and resources available, may not have the same level of community and support as R, especially for specific statistical tasks.
Deployment options: Visual Basic has more deployment options compared to R. It can be used to create standalone applications that can run on various platforms such as Windows, iOS, and Android. In contrast, R is mainly used as an interactive language or as a scripting language within specific environments such as RStudio. While it is possible to deploy R code as a web application or as a service using packages like Shiny, Visual Basic provides more flexibility when it comes to deployment.

R vs Visual Basic

Overview

R vs Visual Basic: What are the differences?