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Handling nested JSON parsing in R with jsonlite and dataframe conversion issues

👀 Views: 27 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-11
json dataframe jsonlite tidyverse R

I'm trying to debug I'm having trouble parsing nested JSON data in R using the `jsonlite` package, specifically when trying to convert it into a tidy dataframe format. The JSON structure I'm working with looks like this: ```json { "employees": [ { "name": "John Doe", "age": 30, "address": { "street": "123 Elm St", "city": "Somewhere" }, "skills": ["R", "Python"] }, { "name": "Jane Smith", "age": 25, "address": { "street": "456 Oak St", "city": "Anywhere" }, "skills": ["Java", "SQL"] } ] } ``` When I try to parse this JSON and convert it into a dataframe, I use the following code: ```R library(jsonlite) json_data <- fromJSON("path/to/your/file.json") # Attempting to flatten the nested structure employee_df <- as.data.frame(json_data$employees) ``` However, I'm working with issues with the nested `address` and `skills` elements. Specifically, the `address` data isn't being flattened, and the `skills` list is converted into a list column instead of individual columns for each skill. I want the resulting dataframe to have every field in a flat structure. I've tried using `jsonlite::flatten()` but it doesn't give me the result I need. The behavior message I receive is: ``` behavior in as.data.frame.default(x) : want to coerce class "list" into a data.frame ``` Does anyone have a solution or best practice for converting this type of nested JSON into a flat dataframe format? I'm using R version 4.2.1 and `jsonlite` version 1.8.0. Any help would be appreciated! For context: I'm using R on macOS. Has anyone else encountered this? Thanks for taking the time to read this!