Last data update: 2014.03.03

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Results 1 - 10 of 25 found.
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spread_values (Package: tidyjson) : Create new columns with JSON values

The spread_values() function lets you dive into (potentially nested) JSON objects and extract specific values. spread_values() takes jstring(), jnumber() or jlogical() named function calls as arguments in order to specify the type of the data that should be captured at each desired key location. These values can be of varying types at varying depths.
● Data Source: CranContrib
● Keywords:
● Alias: spread_values
● 0 images

append_values_factory (Package: tidyjson) : Creates the append_values_* functions

Creates the append_values_* functions
● Data Source: CranContrib
● Keywords:
● Alias: append_values_factory
● 0 images

issues (Package: tidyjson) : Issue data for the dplyr repo from github API

Issue data for the dplyr repo from github API
● Data Source: CranContrib
● Keywords:
● Alias: issues
● 0 images

replace_nulls (Package: tidyjson) : Replace nulls with something else

Replace nulls with something else
● Data Source: CranContrib
● Keywords:
● Alias: replace_nulls
● 0 images

json_types (Package: tidyjson) : Add a column that tells the 'type' of the data in the root of the JSON

The function json_types() inspects the JSON associated with each row of the tbl_json data.frame, and adds a new column ("type" by default) that identifies the type according to the JSON standard at http://json.org/.
● Data Source: CranContrib
● Keywords:
● Alias: json_types
● 0 images

tidyjson (Package: tidyjson) : tidyjson.

tidyjson.
● Data Source: CranContrib
● Keywords:
● Alias: tidyjson, tidyjson-package
● 0 images

append_values (Package: tidyjson) : Appends all values with a specified type as a new column

The append_values_X functions let you take any remaining JSON and add it as a column X (for X in "string", "number", "logical") insofar as it is of the JSON type specified.
● Data Source: CranContrib
● Keywords:
● Alias: append_values, append_values_logical, append_values_number, append_values_string
● 0 images

tbl_json (Package: tidyjson) : Combines structured JSON (as a data.frame) with remaining JSON

Combines structured JSON (as a data.frame) with remaining JSON
● Data Source: CranContrib
● Keywords:
● Alias: as.tbl_json, as.tbl_json.character, as.tbl_json.data.frame, as.tbl_json.tbl_json, is.tbl_json, tbl_json
● 0 images

json_lengths (Package: tidyjson) : Add a column that contains the length of the JSON data

When investigating JSON data it can be helpful to identify the lengths of the JSON objects or arrays, especialy when they are 'ragged' across documents. The json_lengths() function adds a column (default name "length") that contains the 'length' of the JSON associated with each row. For objects, this will be equal to the number of keys. For arrays, this will be equal to the length of the array. All scalar values will be of length 1.
● Data Source: CranContrib
● Keywords:
● Alias: json_lengths
● 0 images

jfactory (Package: tidyjson) : Factory that creates the j* functions below

Factory that creates the j* functions below
● Data Source: CranContrib
● Keywords:
● Alias: jfactory
● 0 images