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Data analysis for business, economics, and policy / Gábor Békés, Central European University, Vienna and Budapest, Gábor Kézdi, University of Michigan, Ann Arbor.

By: Contributor(s): Material type: TextTextPublisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021Description: xxiii, 714 pagesContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781108483018
Subject(s): Additional physical formats: Online version:: Data analysis for business, economics, and policyDDC classification:
  • 300.72/3 23
LOC classification:
  • H62.B45 2021
Other classification:
  • BUS021000 | BUS021000
Summary: "Data analysis is a process. It starts with formulating a question and collecting appropriate data, or assessing whether the available data can help answer the question. Then comes cleaning and organizing the data, tedious but essential tasks that affect the results of the analysis as much as any other step in the process. Exploratory data analysis gives context to the eventual results and helps deciding the details of the analytical method to be applied. The main analysis consists of choosing and implementing the method to answer the question, with potential robustness checks. Along the way, correct interpretation and effective presentation of the results are crucial. Carefully crafted data visualization help summarize our findings and convey key messages. The final task is to answer the original question, with potential qualifications and directions for future inquiries"-- Provided by publisher.
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Holdings
Item type Current library Call number Copy number Status Barcode
Books Books KWUST-Main Library General Stacks H62.B45 2021 (Browse shelf(Opens below)) C.3 Available 2023-0978
Books Books KWUST-Main Library General Stacks H62.B45 2021 (Browse shelf(Opens below)) C.1 Available 2023-0757
Books Books KWUST-Main Library General Stacks H62.B45 2021 (Browse shelf(Opens below)) C.2 Available 2023-0758

Includes bibliographical references and index.

"Data analysis is a process. It starts with formulating a question and collecting appropriate data, or assessing whether the available data can help answer the question. Then comes cleaning and organizing the data, tedious but essential tasks that affect the results of the analysis as much as any other step in the process. Exploratory data analysis gives context to the eventual results and helps deciding the details of the analytical method to be applied. The main analysis consists of choosing and implementing the method to answer the question, with potential robustness checks. Along the way, correct interpretation and effective presentation of the results are crucial. Carefully crafted data visualization help summarize our findings and convey key messages. The final task is to answer the original question, with potential qualifications and directions for future inquiries"-- Provided by publisher.

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