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1.8: Chapter Review

Principles of Data Science · LibreTexts

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    From LibreTexts, under CC BY 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    1.
    Select the incorrect step and goal pair of the data science cycle.
    1. Data collection: collect the data so that you have something for analysis.
    2. Data preparation: have the collected data stored in a server as is so that you can start the analysis.
    3. Data analysis: analyze the prepared data to retrieve some meaningful insights.
    4. Data reporting: present the data in an effective way so that you can highlight the insights found from the analysis.
    2.
    Which of the following best describes the evolution of data management in the data science process?
    1. Initially, data was stored locally on individual computers, but with the advent of cloud-based systems, data is now stored on designated servers outside of local storage.
    2. Data management has remained static over time, with most data scientists continuing to store and process data locally on individual computers.
    3. The need for data management arose as a result of structured data becoming unmanageable, leading to the development of cloud-based systems for data storage.
    4. Data management systems have primarily focused on analysis rather than processing, resulting in the development of modern data warehousing solutions.
    3.
    Which of the following best exemplifies the interdisciplinary nature of data science in various fields?
    1. A historian traveling to Italy to study ancient manuscripts to uncover historical insights about the Roman Empire
    2. A mathematician solving complex equations to model physical phenomena
    3. A biologist analyzing a large dataset of genetic sequences to gain insights about the genetic basis of diseases
    4. A chemist synthesizing new compounds in a laboratory

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