open_spending.ds: Read and Calculate the Basic Information for Basic...

In DescriptiveStats.OBeu: Descriptive Statistics 'OpenBudgets.eu'

Description

Extract and analyze the input data provided from Open Spending API of OpenBudgets.eu, using the ds.analysis function.

Usage

open_spending.ds(json_data, dimensions = NULL, amounts = NULL, 
measured.dimensions = NULL, coef.outl = 1.5, box.outliers = TRUE, 
box.wdth = 0.15, cor.method = "pearson", freq.select = NULL)

Arguments

json_data	The json string, URL or file from Open Spending API
dimensions	The dimensions of the input data
amounts	The measures of the input data
measured.dimensions	The dimensions to which correspond amount/numeric variables
coef.outl	Determines the length of the "whiskers" plot. If it is equal to zero no outliers will be returned.
box.outliers	If TRUE the outliers will be computed at the selected "coef.outl" level (default is 1.5 times the Interquartile Range).
box.wdth	The width level is determined 0.15 times the square root of the size of the input data.
cor.method	The correlation coefficient method to compute: "pearson" (default), "kendall" or "spearman".
freq.select	One or more nominal variables to calculate their corresponding frequencies.

Details

This function is used to read data in json format from Open Spending and Rudolf APIs., in order to implement some basic descriptive tasks through ds.analysis function.

Value

A json string with the resulted parameters of the ds.analysis function.

Author(s)

Kleanthis Koupidis

See Also

ds.analysis

Examples

# OpenBudgets.eu Dataset Example:
# open_spending.ds(json_data = Wuppertal_openspending, 
  #    dimensions ="functional_classification_3.Produktgruppe|date_2.Year",
  #    amounts = "Amount")
                

DescriptiveStats.OBeu documentation built on May 4, 2020, 9:06 a.m.