Extract and analyze the input data provided from Open Spending API of OpenBudgets.eu, using the ds.analysis function.
open_spending.ds(json_data, dimensions=NULL, amounts=NULL, measured.dimensions=NULL, coef.outl=1.5, box.outliers=T, box.wdth=0.15, cor.method= "pearson", freq.select=NULL)
| 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. |
A json string with the resulted parameters of the ds.analysis function.
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.
# OpenBudgets.eu Dataset Example: #data=Wuppertal_openspending #open_spending.ds(data, dimensions ="functional_classification_3.Produktgruppe|date_2.Year", # amounts = "Amount")