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Management Based on Data Analysis. Part One. Data Visualization Analysis

Author

Listed:
  • Ilie Margareta

    (“Ovidius†University of Constanta)

  • Ilie Constantin

    (“Ovidius†University of Constanta)

Abstract

Data visualization is associated with Business Intelligence and acts as the main base of data understanding for the decision making. The techniques and application used to apply the data visualization can be expensive or difficult to understand in accordance with the business targets. In this context, the present paper has the objective to demonstrate the possibility of applying an open source software (Python 3) for several types of data visualization. The method uses different data representation techniques, such as histograms, scatters, correlations, 3D surfaces, etc. Analyzed data refers to human resources evaluation, as the management can analyze and understand how data such as: satisfaction level of the employee, the average monthly hours worked, project number that the employee participated in, and time spent by company for employee care. The results delivered several types of representations that offer conclusions about the positioning of evaluated human resources in conjunction with other data.

Suggested Citation

  • Ilie Margareta & Ilie Constantin, 2021. "Management Based on Data Analysis. Part One. Data Visualization Analysis," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 749-757, December.
  • Handle: RePEc:ovi:oviste:v:xxi:y:2021:i:2:p:749-757
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    References listed on IDEAS

    as
    1. Janvrin, Diane J. & Raschke, Robyn L. & Dilla, William N., 2014. "Making sense of complex data using interactive data visualization," Journal of Accounting Education, Elsevier, vol. 32(4), pages 31-48.
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    More about this item

    Keywords

    management; data visualization; human resources; evaluation;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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