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!
A. fuel ; when you but a car you aren't buying the gas to go in it
Answer:
cryptographic hash collision.
Explanation:
Answer:
C. analyzes data and trends and predicts future data and trends.
Explanation:
Predictive analytics can be defined as a statistical approach which typically involves the use of past and present data ( factual informations) in order to determine unknown events or future performances of a business firm or organization. It is focused on determining what is likely to happen in the future.
For example, a data analyst trying to determine how to effectively stock his company's warehouses incase of an anticipated pandemic and he's using current sales data to project the demands.
Hence, a predictive data analyst is an individual who analyzes data and trends and predicts future data and trends.