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The What and How of Data Analysis

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  • Chatterjee, Sidharta

Abstract

This may be considered a formative and inspiring study on data analysis in data science research that delves into the conceptual aspects of epistemological theories and the role of expert analysts in analysing data, whether large or small. We discuss the tools and techniques generally used to uncover insights from data, demonstrating the complexity of the data analysis process. Philosophical aspects have been touched upon, with several insights drawn from epistemology. Finally, we address the value of data analysis as a knowledge resource and organisational asset, which is highlighted as well

Suggested Citation

  • Chatterjee, Sidharta, 2024. "The What and How of Data Analysis," MPRA Paper 120831, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:120831
    as

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    File URL: https://mpra.ub.uni-muenchen.de/120831/1/MPRA_paper_120831.pdf
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    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Hsiao,Cheng, 2022. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9781009060752, November.
    4. Hsiao,Cheng, 2022. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9781316512104, November.
    5. Dahlstedt, Palle, 2019. "Big Data and Creativity," European Review, Cambridge University Press, vol. 27(3), pages 411-439, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Creativity; data analysis; big data; data types; heuristics; statistical tools; data science;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

    Access and download statistics

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