ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2015
Quarter: 1
Volume: 7
Number: 1
Pages: 45 - 64
Article Name: DATA ANALYSIS OF CREDIT ORGANIZATIONS BY MEANS OF INTERACTIVE VISUAL ANALYSIS OF MULTIDIMENSIONAL DATA
Authors: I.E.Milman (Russian Federation), A.P.Pakhomov (Russian Federation), V.V.Pilyugin (Russian Federation), E.E.Pisarchik (Russian Federation), A.A.Stepanov (Russian Federation), Yu.M.Beketnova (Russian Federation), A.S.Denisenko (Russian Federation), Ya.A. Fomin (Russian Federation)
Address: I.E. Milman
igalush@gmail.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

A.P.Pakhomov
sinrayasy@gmail.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

V.V. Pilyugin
VVPilyugin@mephi.ru
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

E.E.Pisarchik
episarchik@yahoo.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

A.A.Stepanov
Federal Financial Monitoring Service (Rosfinmonitoring), Moscow, Russia

Yu.M.Beketnova
beketnova@mail.ru
Federal Financial Monitoring Service (Rosfinmonitoring), Moscow, Russia

A.S.Denisenko
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

Ya.A. Fomin
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
Abstract: In this article, analysis of financial and economic indexes of a number of credit organizations have been observed and picked out some different credit organizations using interactive visual interface. Data were collected from open sources, stage of processing and improvement data were considered as well as its analysis. In conducting this analysis, the so-called visual analytics paradigm has been used. For the analysis was proposed original algorithm, which was the base for developing an interactive program. Macroanalysis and microanalysis of the source data have been done. A number of judgments about the different credit organizations have been made.
Language: English


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