2009Unpublished venueRequires access

Parallel Coordinates as Tool of Exploratory Data Analysis

Snezana Savoska, Suzana Loškovska

Open publisher page 4 citations

Abstract

The huge amount of multidimensional data everyday becomes bigger and more complex. For these reasons, data analysis of multivariate data becomes very difficult. In this paper, we present a visualization technique for multidimensional data sets named Parallel Coordinates as a technique for exploratory data analysis. The paper describes the technique and its applications. We present several examples of technique successful application as a tool for visual data analysis of the multivariate data.

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What this paper is about

The huge amount of multidimensional data everyday becomes bigger and more complex. For these reasons, data analysis of multivariate data becomes very difficult. In this paper, we present a visualization technique for multidimensional data sets named Parallel Coordinates as a technique for exploratory data analysis. The paper describes the technique and its applications. We present several examples of technique successful application as a tool for visual data analysis of the multivariate data.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The huge amount of multidimensional data everyday becomes bigger and more complex. For these reasons, data analysis of multivariate data becomes very difficult. In this paper, we present a visualization technique for multidimensional data sets named Parallel Coordinates as a technique for exploratory data analysis. The paper describes the technique and its applications. We present several examples of technique successful application as a tool for visual data analysis of the multivariate data.

Key concepts: Parallel coordinates, Exploratory data analysis, Computer science, Visualization, Data visualization, Multivariate statistics, Data mining, Multidimensional data

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