open_spending.ds {DescriptiveStats.OBeu}

Read and Calculate the Basic Information for Basic Descriptive Tasks from Open Spending and Rudolf APIs.

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")