Data collection and preprocessing questions with answers
86 multiple-choice questions. Open any question for its answer and explanation.
- Which of the following function is used for quantiles of quantitative values?
- Which of the following package is used for reading JSON data?
- What is the primary goal of data preprocessing in the context of machine learning?
- In data preprocessing, what is the term for the process of handling missing data by filling in the missing values with estimates?
- Point out the correct statement.
- Raw data in the real-world is tidy and properly formatted.
- Which of the following is an example of tidy data?
- Which of the following package is used for tidy data?
- Which of the following is the most common problem with messy data?
- Point out the wrong statement.
- What is the purpose of feature engineering in data preprocessing?
- Which of the following package is used for reading GIS data?
- Point out the correct statement.
- Which data collection method involves selecting a subset of individuals or elements from a larger population for study?
- Point out the wrong statement.
- Each observation forms a column in tidy data.
- Point out the wrong statement.
- Which data collection method involves selecting a sample from a larger population and collecting data from the sample only?
- Which of the following package is used to connect MySQL RDBMS with R?
- Which data collection method involves gathering data by directly interacting with subjects or participants?
- Which of the following package loads data from SPSS?
- Which of the following package is used for reading HTML and XML data?
- Which of the following is NOT a common step in data preprocessing?
- In data preprocessing, what is the term for the process of converting categorical data into binary format?
- Which of the following function gives information about top level data?