Exam DA0-001 topic 1 question 56 discussion

D. There are outliers like 0 as age or 0 and 75 as salary. Outliers can present due to incorrect data entry. The data is not incomplete because all fields don't have null value. There is no bias. Data inconsistency means fields with the same value are entered differently, for example, both "M" and "male" are used to represent the male gender, this isn't the case here since M and F are used consistently to represent male and female respectively.

without calculations, data is just data. All that can be reliably said is the the data is inconsistent

C. The data is inconsistent. There are a few points of inconsistency: Jessie is listed as being 3 years old with an annual income of $75,000, which is not typical as this age is not within working age. Carlos is listed with an annual income of $75, which is unusually low and inconsistent with what one would expect for annual income data. Sara is listed with an annual income of $0, which may be accurate but is atypical and could be considered an outlier or require further context. These inconsistencies suggest that there may be errors or irregularities in the data collection or recording process.

i would argue the data is incomplete as a 3 year old is earning 75,000