What is JSON to R Generator?
This tool converts JSON data into R list or data.frame definitions with proper type inference. It automatically maps JSON types to R types (character, integer, numeric, logical) and handles nested structures as nested lists or data.frames.
How to Use
- Select output format (list, data.frame, or tibble)
- Paste your JSON data into the input area
- Click "Generate" and copy the R code into your script
Why Use This Tool?
Tips & Best Practices
- Use realistic sample data for accurate type inference
- Choose "list" for nested JSON, "data.frame" for flat tabular data
- tibble output requires the tibble package
- Arrays of objects become row-wise data.frames
Frequently Asked Questions
How are JSON types mapped to R?
JSON strings → character, integers → integer, floats → numeric, booleans → logical, null → NULL, arrays → c() for primitives or list() for objects, nested objects → nested list() or data.frame().
Should I use list or data.frame for my JSON?
Use list for nested JSON with mixed types and nested objects — it maps naturally to R lists. Use data.frame for flat, tabular JSON data where all values are the same type per column. Use tibble if you work with the tidyverse ecosystem.
How are nested objects handled?
Nested JSON objects are converted to nested lists in R. When using data.frame mode, nested objects become list-columns containing data.frames, wrapped with I() to preserve their structure.
Does tibble output require any packages?
Yes, tibble output requires the tibble package. You can install it with install.packages("tibble") or as part of the tidyverse with install.packages("tidyverse").
Is my data sent to a server?
No, all processing happens entirely in your browser. Your JSON data never leaves your device.