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R vs Sass: What are the differences?
Introduction
In this comparison, we will highlight the key differences between R and Sass.
Syntax: R uses a syntax that is more similar to traditional programming languages like C, whereas Sass uses a syntax that is more akin to CSS with additional features like variables and nesting.
Primary Use: R is primarily used for statistical computing and graphics, while Sass is a style sheet language initially designed to simplify and streamline the creation of cascading style sheets (CSS).
Data Processing: R is particularly strong in data processing, analysis, and visualization with its vast array of libraries and tools, while Sass excels in providing more maintainable and organized stylesheets for web development.
Variables Handling: In R, variables are assigned with "<-" or "=" symbols, while in Sass, variables are created using the "$" symbol followed by the variable name.
Control Structures: R offers a wide range of control structures such as if-else statements, loops, and function calls, whereas Sass focuses more on mixins, functions, and loops to help generate CSS styles efficiently.
In Summary, R and Sass differ in syntax, primary use, data processing capabilities, variable handling, and control structures.
Originally, I was going to start using Sass with Parcel, but then I learned about Stylus, which looked interesting because it can get the property values of something directly instead of through variables, and PostCSS, which looked interesting because you can customize your Pre/Post-processing. Which tool would you recommend?
Pros of R Language
- Data analysis84
- Graphics and data visualization63
- Free54
- Great community45
- Flexible statistical analysis toolkit38
- Easy packages setup27
- Access to powerful, cutting-edge analytics27
- Interactive18
- R Studio IDE13
- Hacky9
- Shiny apps7
- Preferred Medium6
- Shiny interactive plots6
- Automated data reports5
- Cutting-edge machine learning straight from researchers4
- Machine Learning3
- Graphical visualization2
- Flexible Syntax1
Pros of Sass
- Variables613
- Mixins594
- Nested rules466
- Maintainable410
- Functions300
- Modular flexible code149
- Open source143
- Selector inheritance112
- Dynamic107
- Better than cs96
- Used by Bootstrap5
- If and for function3
- Better than less2
- Inheritance (@extend)1
- Custom functions1
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Cons of R Language
- Very messy syntax6
- Tables must fit in RAM4
- Arrays indices start with 13
- Messy syntax for string concatenation2
- No push command for vectors/lists2
- Messy character encoding1
- Poor syntax for classes0
- Messy syntax for array/vector combination0
Cons of Sass
- Needs to be compiled6