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METHODS TO RESTRUCTURE THE STATISTICAL COMMUNITIES

In view of knowing the essence of phenomena it is necessary to perform statistical data processing operations. This allows for shifting from individual data to derived, synthetic indicators that highlight the essence of various phenomena. The high volume and diversity of processing operations presuppose developing plans of computerised data processing.

METHODS TO RESTRUCTURE THE STATISTICAL COMMUNITIES Authors∗: Vergil VOINEAGU, Emilia TITAN Abstract In view of knowing the essence of phenomena it is necessary to perform statistical data processing operations. This allows for shifting from individual data to derived, synthetic indicators that highlight the essence of various phenomena. The high volume and diversity of processing operations presuppose developing plans of computerised data processing. To identify distinct and homogenous groups and classes it is necessary to realise well-pondered groupings and classifications that presuppose to comply with the requirements presented in the article. Key words: computerized data processing, statistics, synthetic indicators Jel Classification: C10 ∗ Prof. Vergil VOINEAGU, Ph.D., President, National Institute of Statistics, Bucharest, e-mail: [email protected]; Prof. Emilia TITAN, Ph.D. in economics, Academy of Economic Studies, Bucharest, email: [email protected]