Introduction to PxWebApiData"


An introduction to the r-package PxWebApiData is given below. Three calls to the main function, ApiData, are demonstrated. First, two calls for reading data sets are shown.The last call captures meta data. However, in practise, one may look at the meta data first. Then three more examples and some background is given.

Note that the text below was written before the possibility to return a single data set was included in the package (the functions ApiData1, ApiData2, ApiData12).

options(max.print = 50)

Specification by variable indices and variable id's

The dataset below has three variables, Region, ContentsCode and Tid. The variables can be used as input parameters. Here two of the parameters are specified by variable id's and one parameter is specified by indices. Negative values are used to specify reversed indices. Thus, we here obtain the two first and the two last years in the data.

A list of two data frames is returned; the label version and the id version.

        Region = c("1103", "0301"), ContentsCode = "Bosatte", Tid = c(1, 2, -2, -1))

Specification by TRUE, FALSE and imaginary values (e.g. 3i).

All possible values is obtained by TRUE and corresponds to "all" in the api query. Elimination of a variables is obtained by FALSE. An imaginary value corresponds to "top" in the api query.

x <- ApiData("", 
        Region = FALSE, ContentsCode = TRUE, Tid = 3i)

It is possible to select either label version or id version



Obtaining meta data

Meta information about the data set can be obtained by "returnMetaFrames = TRUE".

ApiData("",  returnMetaFrames = TRUE)

Aggregations using filter agg:

PxWebApi has two more filters for groupings, agg: and vs:. You can see these filters in the code "API Query for this table" when you have made a table in PxWeb.

agg: is used for readymade aggregation groupings. This example shows the use of aggregation in age groups and aggregated timeseries for the new Norwegian municipality structure from 2020.

        Region = list("agg:KommSummer", c("K-3001", "K-3002")), 
        Tid = 3i,
        Alder = list("agg:TodeltGrupperingB", c("H17", "H18")),
        Kjonn = TRUE)

There are two limitations in the PxWebApi here.

1) The name of the filter and the IDs are not shown in metadata, only in the code "API Query for this table". 2) It is only possible to give single elements as input. Filter "all" "*" does not work with agg: and vs:

The other filter vs:, specify the grouping value sets, which is a part of the value pool. As it is only possible to give single elements as input, it is easier to query the value pool. Thar means that vs: is redundant.

In this example Region is the value pool and Fylker is the value set. These two will return the same result:

  Region = list("vs:Fylker",c("01","02"))  
  Region = list(c("01","02")).

Return the API query as JSON

In PxWebApi the original query is formulated in JSON. Using the parameter returnApiQuery can be useful for debugging.

ApiData("",  returnApiQuery = TRUE)

Readymade datasets

Statistics Norway also provide an API with readymade datasets, available by http GET. Use the parameter getDataByGET = TRUE. By changing to lang=no you get the label version in Norwegian.

This dataset is from Economic trends forecasts.

x <- ApiData("", getDataByGET = TRUE)

Practical example

We would like to extract the number of female R&D personel in the services sector of the Norwegian business life for the years 2017 and 2018.

1) Locate the relevant table at that contains information on R&D personel. Having obtained the relevant table, table 07964, we create the link

2) Load the package.


3) Check which variables that exist in the data.

variables <- ApiData("", 
                     returnMetaFrames = TRUE)


4) Check which values each variable contains.

values <- ApiData("", 
                  returnMetaData = TRUE)


5) Define these variables in the query to sort out the values we want.

data <- ApiData("",
                Tid = c("2017", "2018"), # Define year to 2017 and 2018
                NACE2007 = "G-N", # Define the services sector
                ContentsCode = c("KvinneligFoUpers")) # Define women R&D personell

data <- data[[1]] # Extract the first list element, which contains full variable names.



PxWeb and it's API, PxWebApi is used as output database (Statbank) by many statistical agencies in the Nordic countries and several others, i.e. Statistics Norway, Statistics Finland, Statistics Sweden. See list of installations:

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PxWebApiData documentation built on March 5, 2021, 5:06 p.m.