Data collection and preprocessing questions with answers
86 multiple-choice questions. Open any question for its answer and explanation.
- Point out the correct statement.
- Which data collection method involves the collection of data at regular intervals over a period of time?
- tidyr is a reframing of . . . . . . . . designed to accompany the tidy data framework.
- What type of data collection method involves manipulating one or more variables to observe their effects on other variables?
- Which of the following join is by default used in plyr package?
- What is the primary goal of data preprocessing in the context of machine learning?
- What is the purpose of data sampling in data collection?
- Processing data includes subsetting, formatting and merging only.
- Which of the following package is used for reading excel data?
- Which of the following is another name for raw data?
- httr package does not work well with facebook and twitter API.
- What does the acronym "ETL" stand for in the context of data preprocessing and integration?
- What is the process of transforming categorical data into numerical values called?
- Which of the following function is good for the automatic splitting of names?
- Which of the following is a common technique for handling imbalanced data in classification problems?
- Point out the correct statement.
- Which of the following function is used for determining missing values?
- What is the term for the process of handling missing data in a dataset by estimating values based on available data?
- Which type of data collection method involves asking questions to gather information from respondents?
- Point out the wrong statement.
- Which of the following is NOT a common data preprocessing technique?
- Which of the following is an important parameter of read.table function?
- Which of the following is a trait of tidy data?
- Which of the following function is used for loading flat files?
- Which of the following function is used for searching text strings by means of regular expression?