No, you would see arrows pointing in opposite directions <--> like so
B. A generated report will include all records that a query fetches.
Answer:
<h2>Option B: #VALUE</h2>
is the correct answer.
Explanation:
<h3>Reasons of #VALUE error:</h3>
- When cells are not given the expected type of value.
- If cells are left blank unnoticeable or for giving a null value.
- For entering dates and other numerical data in text form.
<h3>Correcting and fixing #VALUE error:</h3>
This type of error can only be fixed by finding the cell in which there is wrong data entered and correct it.
Fixing the #VALUE error is tricky as some functions automatically ignore the data that is invalid.
<h3>EXAMPLE:</h3>
- Suppose a cell contains the value as cost of the object and in order to make it 0, NA is inserted into the cell.
- While making total of all the costs, that particular cell might cause #VALUE error.
- Following image attach will help you clear the concept.
I hope it will help you!
Answer: filter the data of employees with more than five years of experience
Explanation:
The technique that Peter can use to perform this analysis is to filter the data of employees with more than five years of experience.
Filter in spreadsheets allows one to see the data that is required based on the input that was given. In this case, since Peter wants to analyze the data of all employees that have experience of more than five years, this can be filtered and the employees who have experience of more than 5 years will be shown.
The workers who have experience of less than five years will not b shown in this case.