Online R to SQL Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
This free online converter lets you convert code from R to SQL in a click of a button. To use this converter, take the following steps -
- Type or paste your R code in the input box.
- Click the convert button.
- The resulting SQL code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from R to SQL using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
R
SQL
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
R
SQL
Key differences between R and SQL
| Characteristic | R | SQL |
|---|---|---|
| Syntax | More flexible and expressive, designed for statistical analysis and data manipulation. | Structured and declarative, focused on querying and managing relational databases. |
| Paradigm | Multi-paradigm, supports functional, procedural, and object-oriented programming. | Declarative, primarily focused on data retrieval and manipulation. |
| Typing | Dynamically typed, allows for more flexibility in data types. | Statically typed, requires explicit data types for table columns. |
| Performance | Can be slower for large datasets, optimized for statistical computations. | Generally faster for large datasets, optimized for data retrieval and manipulation. |
| Libraries and frameworks | Rich ecosystem of packages for statistics, data analysis, and visualization (e.g., ggplot2, dplyr). | Standardized language with various implementations, but fewer libraries; relies on database features. |
| Community and support | Strong community in statistics and data science, extensive resources available. | Large community across various domains, extensive documentation and support. |
| Learning curve | Steeper learning curve for beginners, especially in statistical concepts. | Generally easier to learn for basic data manipulation and querying. |
