Reads a JSON file into a tidylearn_data object. Expects the JSON to
represent tabular data (array of objects or similar). A file with the
.ndjson extension is read as newline-delimited JSON, one record
per line, and so is a .json file that does not parse as a single
document but does as one record per line. Requires the jsonlite
package.
Arguments
- path
Path to a JSON file.
- flatten
Logical. Automatically flatten nested data frames? Default is
TRUE.- ...
Additional arguments passed to
jsonlite::fromJSON(), or tojsonlite::stream_in()for an.ndjsonfile.
Value
A tidylearn_data object (a tibble subclass)
with attributes tl_source, tl_format, and
tl_timestamp.
Examples
path <- tempfile(fileext = ".json")
jsonlite::write_json(mtcars, path)
tl_read_json(path)
#> -- tidylearn data ---------
#> Source: /tmp/Rtmp5pHJ7J/file1ab31165bb32.json
#> Format: json
#> Read at: 2026-10-09 07:12:10
#>
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> * <dbl> <int> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # ℹ 22 more rows
# Newline-delimited JSON: one record per line
lines <- tempfile(fileext = ".ndjson")
jsonlite::stream_out(mtcars, file(lines), verbose = FALSE)
tl_read_json(lines)
#> -- tidylearn data ---------
#> Source: /tmp/Rtmp5pHJ7J/file1ab3757da1be.ndjson
#> Format: json
#> Read at: 2026-10-09 07:12:10
#>
#> # A tibble: 32 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> * <dbl> <int> <dbl> <int> <dbl> <dbl> <dbl> <int> <int> <int> <int>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> # ℹ 22 more rows
unlink(c(path, lines))
