Research & Development Expenditure in Europe

Research & Development Expenditure by Sectors of Performance in Europe (gpreda/research-development-expenditure-in-europe)   []


This dataset is compiled from European data about Research & Development Expenditure.


The data contains expenditure for research & development in Europe, by sectors of performance.

Unit values: * PR_GDP - Percent from GDP (Gross Domestic Product).

Performance sector values: * BES - Business enterprise sector;
GOV - Government sector;
HES - Higher education sector;
PNP - Private non-profit sector;
TOTAL - Total expenditure for R&D.

Geographies values are acronyms (2 characters) for EU countries and group of countries from Europe.

Source of metadata:


The main data source is: For the data dictionaries, the source is: as well:

Data is presented in two formats:
Compact Eurostat TSV format;
Unmelt csv format (after transformation using the Starter Kernel).


Use this data source to improve your analysis and visualization skills.

Data summary

  • File 'research_development_expenditure_eu.csv'

    • Table ‘research development expenditure eu’ consists of 2556 data rows along five dimensions: ‘unit’, ‘sectperf’, ‘geo’, ‘year’ and ‘value’
  • File 'tsc00001.tsv'

    • Table ‘tsc00001’ consists of 213 data rows along 13 dimensions: ‘unit,sectperf,geo\time’, ‘2008’, ‘2009’, ‘2010’, ‘2011’, ‘2012’, ‘2013’, ‘2014’, ‘2015’, ‘2016’ and three other dimensions

Size: 15.6 KBSource: KaggleLast updated: 2021-11-12 20:07

Quick introduction to this dataset

The quick introduction provides a quick view into the dataset automatically analyzed by Inspirient.

Top insights discovered in this dataset

The top insights report presents the 30 most relevant insights automatically selected by Inspirient. The insights were chosen because they have a high dimension priority and highlight a relevant pattern.

Data quality assessment of this dataset

The data quality assessment assesses the quality of the input data and prioritizes mitigation steps based on analytical impact and ease of implementation

All insights currently in focus, ranked by relevance

Analyst-2 explores entire data repositories and data lakes, autonomously analyzing each dataset using the Inspirient Automated Analytics Engine.

If you would like Analyst-2 to surface insights in your company's data repository or data lake, please get in touch!

Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.