define data filtering. how this option is useful for us? explain with the help of an example.
Answers
Answer:
The survey data contains demographic information about the respondents as well as each person's preferred cola and that person's rating (out of 5) for each of six varieties of cola. Filtering this data involves: Coming up with a rule for the observations needed.
Explanation:
follow me
Answer:
Data filtering is the process of choosing a smaller part of your data set and using that subset for viewing or analysis. Filtering is generally (but not always) temporary – the complete data set is kept, but only part of it is used for the calculation.
Filtering may be used to:
- Look at results for a particular period of time.
- Calculate results for particular groups of interest.
- Exclude erroneous or "bad" observations from an analysis.
- Train and validate statistical models.
For example, the table below show the data filtered for Males only. The darker colored rows are kept in the analysis while the remaining rows are excluded. Results computed for Males are then calculated based on the highlighted rows (ID’s 2, 9, 11, 12, 13, 14). If we want to know the average rating for Coca-Cola among males, we would compute that as (5 + 5 + 4 + 5 + 5 + 3) / 6 = 4.5.
Explanation: