Quantitative Indicators

The term quantitative refers to variables that are numerical-valued, for example age, annual salary, number of siblings, etc. Quantitative variables can be either interval (e.g., temperature, IQ scores) or ratio (e.g., salary, distance from work).

Qualitative Indicators

The term qualitative refers to variables whose values are words, such as Agree, Disagree, Always, Never, etc. Qualitative variables can either be nominal (e.g., gender (values: male, female)) or ordinal (e.g. agreement in a given statement values: (totally disagree, disagree, neither agree nor disagree, agree, totally agree).

You can change the country of interest by simply clicking on the respective country on the map. For example, if you click on Greece, the displayed charts will emphasise on Greece to provide a clear picture of the position of the selected country amongst the others. More specifically, clicking on a country has a threefold effect:

1. The value of the selected indicator for the respective country is pointed out in the bar οn the interactive map.
2. In the first diagram the selected country is displayed in grey so that the user easily understands its position in comparison to the rest of the countries for the selected indicator.
3. Provided that there is timely data for the selected indicator, the second diagram will show the evolution of the indicator through the years for the respective country.

This map was designed and developed by DigiGen’s researchers: George Filandrianos, Electrical and Computer Engineer (NTUA) and a PhD candidate of the Intelligent Systems Laboratory (School of Electrical and Computer Engineering (ECE) - NTUA) and the Professor Maria Symeonaki, Panteion University of Social and Political Sciences, Department of Social Policy

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870548.
Neither the European Union nor any person acting on behalf of the Commission is responsible for how the information in this map is used.

DGmap acknowledges use of raw data from Eurostat, EU-SILC, 2015-2020. We also acknowledge use of raw data drawn from OECD’s PISA, 2015 and 2018, ICILS 2019, ESS 2016, 2018 and 2020 (ESS Round 10: European Social Survey Round 10 Data (2020). Data file edition 1.2. Sikt - Norwegian Agency for Shared Services in Education and Research, Norway – Data Archive and distributor of ESS data for ESS ERIC. doi:10.21338/NSD-ESS10-2020. ESS Round 9: European Social Survey Round 9 Data (2018). Data file edition 3.1. Sikt - Norwegian Agency for Shared Services in Education and Research, Norway – Data Archive and distributor of ESS data for ESS ERIC. doi:10.21338/NSD-ESS9-2018. ESS Round 8: European Social Survey Round 8 Data (2016). Data file edition 2.2. Sikt - Norwegian Agency for Shared Services in Education and Research, Norway – Data Archive and distributor of ESS data for ESS ERIC. doi:10.21338/NSD-ESS8-2016) and the 2nd ICT in Education survey. Moreover, DGmap makes use of TIMSS 2019 data almanacks for grade 8 and specifically the electronic questionnaire eTIMSS. The responsibility for all conclusions drawn from the data lies entirely with the authors.