When using long data, each subject has data in multiple rows. This is because each row represents what? 1 分True or false data pointsMultiple values One observation per subjectData in different formats

Which of the following statements accurately describe wide and long data? Select all that apply.1 pointLong data subjects can have multiple rows that hold the values of subject attributes.Wide data subjects can have data in multiple columns. Wide data subjects can have multiple rows that hold the values of subject attributes. Long data subjects can have data in multiple columns.

What do you think about the following format of data entry? Group of answer choicesa) It is wrong, each row needs to be dealing with only one subjectb) It is wrong, each column should deal with one subjectc) It is correct, each row needs to have data for only one subjectd) It is correct, since each column should deal with only one subject

What is the meaning if we describe a logical data format as being wide rather than long?Group of answer choicesThe dataset has many rows, which differ in the values reported for one or more aspectsThe dataset has several columns that are related, and vary in some aspect (eg Price_2018, Price_2019, Price_2020 are columns that vary in the year aspect)The dataset has a single value, which is a nested dictionaryThe dataset has several rows and several columns, and some value is contained in each row-column location

Question 7What do the columns contain in long data?1 pointSpecific constraintsThe values and the context for the valuesThe data typesDifferent formats

3 pointsThe given information may have some mistakes with respect to the sanity of data. How many rows are there with no mistakes?