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Data Manipulation is the process of organizing, sorting, and manipulating data to achieve a desired outcome. Data manipulation can be used to improve the quality of data, make it more useful, or simply make it more presentable. Data manipulation can be performed manually or through the use of software.
Que.Point out the correct statement. a. Data has only qualitative value b. Data has only quantitative value c. Data has both qualitative and quantitative value d. None of the mentioned
Show Answer Data has only qualitative value
Que.Data that summarize all observations in a category are called __________ data. a. frequency b. summarized c. raw d. none of the mentioned
Que.Which of the following is an example of raw data? a. original swath files generated from a sonar system b. initial time-series file of temperature values c. a real-time GPS-encoded navigation file d. all of the mentioned
Que.Point out the correct statement. a. Primary data is original source of data b. Secondary data is original source of data c. Questions are obtained after data processing steps d. None of the Mentioned
Show Answer Primary data is original source of data
Que.Which of the following data is put into a formula to produce commonly accepted results? a. Raw b. Processed c. Synchronized d. All of the Mentioned
Que.Processing data includes subsetting, formatting and merging only. a. True b. False c. May be True or False d. Can’t say
Que.Which of the following is another name for raw data? a. destination data b. eggy data c. secondary d. machine learning
Que.Which type of data is generated by POS terminal in a busy supermarket each day? a. Source b. Processed c. Synchronized d. All of the mentioned
Que.Which of the following is an example of tidy data? a. complicated JSON from facebook API b. complicated JSON from Twitter API c. unformatted excel file d. all of the mentioned
Que.Point out the correct statement. a. Nearly 80% of data analysis is spent on wrangling data b. Nearly 20% of data analysis is spent on data dredging c. Nearly 80% of data analysis is spent on the cleaning and preparing data d. None of the mentioned
Show Answer Nearly 80% of data analysis is spent on the cleaning and preparing data