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R vs YAML: What are the differences?
Developers describe R as "A language and environment for statistical computing and graphics". 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. On the other hand, YAML is detailed as "A straightforward machine parsable data serialization format designed for human readability and interaction". A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.
R and YAML can be categorized as "Languages" tools.
Instacart, Zalando, and Thumbtack are some of the popular companies that use R, whereas YAML is used by Zoteca, Doable, and Skydive project. R has a broader approval, being mentioned in 128 company stacks & 97 developers stacks; compared to YAML, which is listed in 5 company stacks and 4 developer stacks.
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
- Shiny interactive plots6
- Preferred Medium6
- Automated data reports5
- Cutting-edge machine learning straight from researchers4
- Machine Learning3
- Graphical visualization2
- Flexible Syntax1
Pros of YAML
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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 YAML
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What is R Language?
What is YAML?
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What companies use R Language?
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