open_spending.ts

The json string, URL or file from Open Spending API

json_data

Specify the time label of the json time series data

time

Specify the amount label of the json time series data

amount

An integer vector of length 3 specifying the order of the Arima model

order

prediction_steps

Extract and analyze univariate time series data from Open Spending API, 
using the ts.analysis function.

Estimate and return the needed parameters for visualizations designed for 'OpenBudgets.eu' <http://openbudgets.eu/> time series data. Calculate time series model and forecast parameters in budget time series data of municipalities across Europe, according to the 'OpenBudgets.eu' data model. There are functions for measuring deterministic and stochastic trend of the input time series data with 'ACF', 'PACF', 'Phillips Perron' test, 'Augmented Dickey Fuller (ADF)' test, 'Kwiatkowski-Phillips-Schmidt-Shin (KPSS)' test, 'Mann Kendall' test for monotonic trend and 'Cox and Stuart' trend test, decomposing with local regression models or 'stl' decomposition, fitting the appropriate 'arima' model and provide forecasts for the input 'OpenBudgets.eu' time series fiscal data. Also, can be used generally to extract visualization parameters convert them to 'JSON' format and use them as input in a different graphical interface.

open_spending.ts: Read and analyze univariate time series data from Open Spending API

Description

Usage

Arguments

Value

Details

See Also