IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/120831.html
   My bibliography  Save this paper

The What and How of Data Analysis

Author

Listed:
  • 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

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/120831/1/MPRA_paper_120831.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hsiao,Cheng, 2022. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9781009060752, September.
    2. 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.
    3. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    4. Hsiao,Cheng, 2022. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9781316512104, September.
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.
    2. Ying Liang & Wei Song, 2022. "Ecological and Environmental Effects of Land Use and Cover Changes on the Qinghai-Tibetan Plateau: A Bibliometric Review," Land, MDPI, vol. 11(12), pages 1-23, November.
    3. Lanzalonga Federico & Chmet Federico & Petrolo Basilio & Brescia Valerio, 2023. "Exploring Diversity Management to Avoid Social Washing and Pinkwashing: Using Bibliometric Analysis to Shape Future Research Directions," Journal of Intercultural Management, Sciendo, vol. 15(1), pages 41-65, March.
    4. Dennis Opoku Boadu & Justice Kwame Appati & Joseph Agyapong Mensah, 2024. "Exploring the Effectiveness of Graph-based Computational Models in COVID-19 Research," SN Operations Research Forum, Springer, vol. 5(3), pages 1-41, September.
    5. Manta Eduard Mihai & Davidescu Adriana Ana Maria & Geambasu Maria Cristina & Florescu Margareta Stela, 2023. "Exploring the research area of direct taxation. An empirical analysis based on bibliometric analysis results," Management & Marketing, Sciendo, vol. 18(s1), pages 355-383, December.
    6. Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.
    7. Albiona Pestisha & Zoltán Gabnai & Aidana Chalgynbayeva & Péter Lengyel & Attila Bai, 2023. "On-Farm Renewable Energy Systems: A Systematic Review," Energies, MDPI, vol. 16(2), pages 1-25, January.
    8. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    10. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
    11. Ghousia Jabeen & Gurunadham Goli & Kafila & R. Gobinath, 2024. "A bibliometric review on gender equity in human resource management," Future Business Journal, Springer, vol. 10(1), pages 1-18, December.
    12. Satish Kumar & Riya Sureka & Weng Marc Lim & Sachin Kumar Mangla & Nisha Goyal, 2021. "What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3454-3469, December.
    13. Mohammed H. Alzard & Hilal El-Hassan & Tamer El-Maaddawy & Marwa Alsalami & Fatma Abdulrahman & Ashraf Aly Hassan, 2022. "A Bibliometric Analysis of the Studies on Self-Healing Concrete Published between 1974 and 2021," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    14. Simona-Vasilica Oprea & Irina Alexandra Georgescu & Adela Bâra, 2024. "Charting the BRIC countries’ connection of political stability, economic growth, demographics, renewables and CO2 emissions," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-35, October.
    15. Ujkani Xheneta & Gara Atdhetar, 2023. "Determinants of the Inflation Rate: Evidence from Panel Data," Economics, Sciendo, vol. 11(2), pages 169-182, December.
    16. Huixin Wang & Jing Xie & Shixian Luo & Duy Thong Ta & Qian Wang & Jiao Zhang & Daer Su & Katsunori Furuya, 2023. "Exploring the Interplay between Landscape Planning and Human Well-Being: A Scientometric Review," Land, MDPI, vol. 12(7), pages 1-24, June.
    17. Hansin Bilgili & Jonathan L. Johnson & Tsvetomira V. Bilgili & Alan E. Ellstrand, 2022. "Research on social relationships and processes governing the behaviors of members of the corporate elite: a review and bibliometric analysis," Review of Managerial Science, Springer, vol. 16(8), pages 2285-2339, November.
    18. Sandip Solanki & Seema Singh & Meeta Joshi, 2023. "A Bibliometric Analysis of the International Journal of Energy Economics and Policy: 2013-2022," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 260-270, September.
    19. Jeffrey Muldoon & Younggeun Lee & Eric W. Liguori & Saumyaranjan Sahoo & Satish Kumar, 2024. "Mapping the entrepreneurship ecosystem scholarship: current state and future directions," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 3035-3080, December.
    20. Sharma, Wamika & Lim, Weng Marc & Kumar, Satish & Verma, Aastha & Kumra, Rajeev, 2024. "Game on! A state-of-the-art overview of doing business with gamification," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    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

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:120831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.