Industrial Roundwood By Assortment

Eurostat code: for_irass · (2000 - 2023)

@eurostat.for_irass

Table List

2 tables(207.39 KB)

Industrial Roundwood By Assortment - Raw

Industrial Roundwood By Assortment - Unpivoted

Industrial Roundwood By Assortment - Unpivoted

@eurostat.for_irass.tidy

This table contains the same data as the raw table, but in a tidy format: time period values are unpivoted into rows under a single time_period column, making the dataset easier to analyze and visualize.

97.53 KB
18556 rows
8 columns

freq Freq	treespec Treespec	prod_wd Prod Wd	stk_flow Stk Flow	unit Unit	geo Geo	time_period Time Period	value Value
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Belgium	2000	52890.11
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Czechia	2000	17508.81
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Greece	2000	186.15
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Spain	2000	1829.51
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Finland	2000	12717.45
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Hungary	2000	2087.91
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Malta	2000
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand euro	Netherlands	2000	253
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand units of national currency	Belgium	2000	52890.11
Annual	Coniferous: Fir/Spruce (Abies alba, Picea abies)	Sawlogs and veneer logs	Imports	Thousand units of national currency	Czechia	2000	623296


CREATE TABLE tidy (
  "freq" VARCHAR,
  "treespec" VARCHAR,
  "prod_wd" VARCHAR,
  "stk_flow" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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