JSON to R DataFrame Converter

About JSON to R DataFrame Converter

Convert JSON data to R data.frame code. Generate ready-to-use R code for creating data frames from JSON data, with support for both jsonlite package and manual data.frame() construction.

Key Features

• jsonlite Support: Generate code using the jsonlite package for complex JSON
• Manual Construction: Create data.frame() code without dependencies
• Type Handling: Proper handling of strings, numbers, booleans, and NA values
• Column Names: Automatic sanitization and preservation of original names
• Factors Control: Option to convert strings to factors
• Usage Examples: Includes print, str, summary, and head commands
• File Upload: Upload JSON files directly or paste data
• Instant Preview: Real-time conversion as you type

How to Use

1. Input JSON Data: Paste your JSON data or upload a .json file
2. Configure Options: Set data frame name and conversion method
3. Review Output: The R code updates automatically
4. Copy or Download: Use the Copy or Download button to save your .R file
5. Run in R: Execute the code in R or RStudio

Example Conversion

JSON Input:

[
  {"Name": "John", "Age": 28, "Salary": 75000},
  {"Name": "Jane", "Age": 34, "Salary": 85000}
]

R Output (jsonlite):

library(jsonlite)

json_string <- '[{"Name":"John","Age":28,"Salary":75000}]'

df <- fromJSON(json_string, stringsAsFactors = FALSE)

print(df)

R Output (Manual):

df <- data.frame(
  Name = c("John", "Jane"),
  Age = c(28, 34),
  Salary = c(75000, 85000),
  stringsAsFactors = FALSE
)

print(df)

Common Use Cases

• Data Analysis: Import JSON data for statistical analysis in R
• API Integration: Convert API responses to R data frames
• Data Science: Prepare JSON data for machine learning models
• Visualization: Load JSON data for ggplot2 visualizations
• Research: Import research data from JSON format

Conversion Methods

• jsonlite Package: Best for complex nested JSON, requires library installation
• Manual data.frame(): No dependencies, works with base R, best for simple data
• Recommendation: Use jsonlite for nested objects and arrays

Data Type Handling

• Strings: Properly escaped, optionally converted to factors
• Numbers: Preserved as numeric values
• Booleans: Converted to TRUE/FALSE
• Null: Converted to NA (R's missing value)
• Objects: Serialized as JSON strings (manual) or nested data frames (jsonlite)

Column Name Sanitization

• Special Characters: Replaced with underscores
• Numbers: Prefixed with 'X' if starting with a number
• Original Names: Restored using colnames() when needed
• Valid Characters: Letters, numbers, dots, and underscores

Using in R/RStudio

1. Copy the generated R code
2. Open R or RStudio
3. Paste the code into the console or script editor
4. If using jsonlite, install it first: install.packages("jsonlite")
5. Run the code to create your data frame

Best Practices

• Simple Data: Use manual data.frame() for arrays of objects
• Complex Data: Use jsonlite for nested structures
• Factors: Keep stringsAsFactors = FALSE unless you need categorical data
• Large Data: Consider using data.table or tibble for better performance
• Testing: Always check the structure with str() after loading

Privacy & Security

All conversions happen locally in your browser. Your JSON data is never uploaded to any server, ensuring complete privacy and security.