What is the process of gathering data from various sources and storing it for analysis known as?
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Data Science · all questionsData Collection and Preprocessing
Data Collection and Preprocessing
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Which of the following is NOT a common source of data for data collection in Data Science?
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In data collection, what is the term for the process of recording data in its original form without any changes?
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Which of the following is a type of structured data that is organized in rows and columns, similar to a spreadsheet?
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What is the process of cleaning and formatting raw data into a usable format called?
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Which of the following is a technique used to handle missing data by filling in the missing values with estimated data?
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What does the acronym "API" stand for in the context of data collection and retrieval?
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Which method of data collection involves systematically observing and recording data without interfering with the subjects?
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What is the term for the process of reducing the size of a dataset while retaining its essential characteristics?
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Which of the following is a common technique used to preprocess text data, involving the removal of common words?
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Which type of data collection method involves asking questions to gather information from respondents?
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What is the process of transforming categorical data into numerical values called?
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Which of the following is NOT a common step in data preprocessing?
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In data preprocessing, what is the term for the identification and removal of duplicate or redundant data?
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Which of the following is a common technique for handling imbalanced data in classification problems?
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What is the process of converting text data into a numerical format so that it can be used in machine learning algorithms called?
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Which data collection method involves selecting a sample from a larger population and collecting data from the sample only?
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In data preprocessing, what is the purpose of data scaling or normalization?
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What type of data collection method involves manipulating one or more variables to observe their effects on other variables?
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Which of the following is a common technique for handling outliers in a dataset?
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