Data Science MCQs with answers Page - 16

Here, you will find a collection of MCQ questions on Data Science. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. Each observation forms a column in tidy data.

  • (A) True
  • (B) Webdredging
  • (C) ---
  • (D) ---

A

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Q. Which of the following is NOT a common data preprocessing technique?

  • (A) Data Cleaning
  • (B) Data Visualization
  • (C) Data Encoding
  • (D) Data Imputation

A

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Q. In data preprocessing, what is the term for the process of converting text data into numerical values?

  • (A) Data Encoding
  • (B) Data Tokenization
  • (C) Data Parsing
  • (D) Data Transformation

A

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Q. What is the purpose of feature engineering in data preprocessing?

  • (A) To make data more complex
  • (B) To extract meaningful features
  • (C) To perform data cleaning
  • (D) To visualize data

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Q. Which data collection method involves selecting a subset of individuals or elements from a larger population for study?

  • (A) Observational Studies
  • (B) Experiments
  • (C) Surveys
  • (D) Sampling

A

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Q. In data preprocessing, what is the term for the process of handling missing data by filling in the missing values with estimates?

  • (A) Data Imputation
  • (B) Data Normalization
  • (C) Data Transformation
  • (D) Data Encoding

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Q. Which of the following request can be issued from httr package?

  • (A) GET
  • (B) PUT
  • (C) DELETE
  • (D) All of the mentioned

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Q. Which of the following package is used for reading HTML and XML data?

  • (A) httr
  • (B) http
  • (C) httx
  • (D) all of the mentioned

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Q. Which of the following function is used for loading flat files?

  • (A) read.data
  • (B) read.sheet
  • (C) read.table
  • (D) none of the mentioned

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Q. Which of the following package is used for tidy data?

  • (A) tidyr
  • (B) souryr
  • (C) NumPy
  • (D) all of the mentioned

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