Reproduction of Table 15.4 in the Eurostat Manual (Input–output table of domestic output at basic prices, Version A). This is a small, well-documented benchmark dataset that accompanies the iotables package. It is reformatted into the same long structure as Eurostat warehouse SIOTs, so that functions and tests can work identically on this example and on real Eurostat downloads.
Format
A data frame with 247 rows and 11 columns:
- prod_na
Row code (ESA 2010 / CPA aggregate).
- prod_na_lab
Row label, long description.
- iotables_row
Row identifier used internally.
- iotables_col
Column identifier (factor with 13 levels).
- values
Cell value, in millions of euros (integer).
- induse
Column code (ESA 2010 / CPA aggregate or national accounts item).
- geo
Country code, always
"DE".- geo_lab
Country name,
"Germany".- time
Reference year, as a Date (
"1995-01-01").- unit
Unit code,
"MIO_EUR".- unit_lab
Unit label,
"Million euro".
Source
Beutel, J. (2008). Eurostat Manual of Supply, Use and Input–Output Tables, Table 15.4. Luxembourg: Office for Official Publications of the European Communities.
Details
The values come from Beutel (2008), Eurostat Manual of Supply, Use and
Input–Output Tables, Table 15.4. Labels and codes follow ESA 2010
conventions (e.g. CPA_A, CPA_B-E, P3_S14),
allowing direct comparison with modern Eurostat releases.
This dataset underpins many unit tests in iotables: multipliers, coefficients, and linkage indices are validated against the published benchmark. Because it is small (247 rows), it is also used in vignettes and examples to demonstrate workflows.
See also
iotable_get() for extracting comparable tables from Eurostat.
Examples
data(germany_1995)
head(germany_1995)
#> prod_na prod_na_lab iotables_row
#> 1 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> 2 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> 3 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> 4 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> 5 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> 6 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> iotables_col values induse geo geo_lab time unit
#> 1 agriculture_group 1131 CPA_A DE Germany 1995-01-01 MIO_EUR
#> 2 industry_group 25480 CPA_B-E DE Germany 1995-01-01 MIO_EUR
#> 3 construction 1 CPA_F DE Germany 1995-01-01 MIO_EUR
#> 4 trade_group 607 CPA_G-I DE Germany 1995-01-01 MIO_EUR
#> 5 business_services_group 710 CPA_J-N DE Germany 1995-01-01 MIO_EUR
#> 6 other_services_group 762 CPA_O-T DE Germany 1995-01-01 MIO_EUR
#> unit_lab
#> 1 Million euro
#> 2 Million euro
#> 3 Million euro
#> 4 Million euro
#> 5 Million euro
#> 6 Million euro
# Verify against the Eurostat manual:
subset(germany_1995, prod_na == "CPA_A" & iotables_col == "agriculture_group")
#> prod_na prod_na_lab iotables_row
#> 1 CPA_A Products of agriculture, forestry and fishing agriculture_group
#> iotables_col values induse geo geo_lab time unit unit_lab
#> 1 agriculture_group 1131 CPA_A DE Germany 1995-01-01 MIO_EUR Million euro