Name: Importance Of Motivation Factors For International Sourcing By Enterprises Currently Planning To Engage In International Sourcing By Economic Activity (figures And %) - Collection Round 2007 - Experimental Statistics
Creator: Eurostat
License: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Copyright/licence_policy

About this Dataset

Importance Of Motivation Factors For International Sourcing By Enterprises Currently Planning To Engage In International Sourcing By Economic Activity (figures And %) - Collection Round 2007 - Experimental Statistics

This Eurostat dataset contains data on importance of motivation factors for international sourcing by enterprises currently planning to engage in international sourcing by economic activity (figures and %) - collection round 2007 - experimental statistics, as collected and published by the Statistical Office of the European Union.

Tables included:

raw: Original table as downloaded from Eurostat.
tidy: A cleaned and transformed version of the raw table, where time period values appear as rows instead of columns (unpivoted format).

Last updated: 2010-02-19T11:00:00+0100

Tables

Importance Of Motivation Factors For International Sourcing By Enterprises Currently Planning To Engage In International Sourcing By Economic Activity (figures And %) - Collection Round 2007 - Experimental Statistics - Raw

@eurostat.iss_plan.raw

33.71 KB
22358 rows
8 columns


CREATE TABLE raw (
  "freq" VARCHAR,
  "indic_sb" VARCHAR,
  "lev_impt" VARCHAR,
  "reason" VARCHAR,
  "enterpr" VARCHAR,
  "nace_r1" VARCHAR,
  "geo" VARCHAR,
  "n_2007" DOUBLE
);

Importance Of Motivation Factors For International Sourcing By Enterprises Currently Planning To Engage In International Sourcing By Economic Activity (figures And %) - Collection Round 2007 - Experimental Statistics - Unpivoted

@eurostat.iss_plan.tidy

33.83 KB
17776 rows
9 columns


CREATE TABLE tidy (
  "freq" VARCHAR,
  "indic_sb" VARCHAR,
  "lev_impt" VARCHAR,
  "reason" VARCHAR,
  "enterpr" VARCHAR,
  "nace_r1" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);