Answer:
Microsoft Access allows us to sort on multiple fields only if each field is sorted in ascending order.
This is False.
Explanation:It’s straightforward to sort data by one column in Access, when it comes to sorting by two columns, you need to take a couple of additional steps. There is no restriction or requirement of sorted columns before multi-level sorting.
- Steps are:
- Select the entire data set that you want to sort.
- Click the Data tab.
- Click on the Sort Icon (the one shown below). This will open the Sort dialog box.
- in the Sort Dialogue box, make the following selections
- Sort by (Column): Region (this is the first level of sorting)
- Sort On: Values
- Order: A to Z
- If your data has headers, ensure that ‘My data has headers’ option is checked.
- Click on Add Level (this will add another level of sorting options)
- In the second level of sorting, make the following selections:
- Then by (Column): Sales
- Sort On: Values
- Order: Largest to Smallest
- Click OK
Answer:
A. Review of business documents
Explanation:
In information gathering process some research or resolving some technical issue, it is necessary to gather data or enlist highly technical questions concerning the overarching system that is already in place.
To gather answers that are enlisted above can be answered with the help of literature review or review of business document.
Literature review is the review of past work related to some particular topic that can be gather from different journal articles, conference publications or book.
Out of the ones that you mention, the correct answer should be
<span> Operating system</span>
Answer:
Split the data into two randomly sampled DataFrame,and then train the model with one DataFrame and test it with the other .As we have know labels in the data frame ,so this approch will give us a better picture on how accuractly our model is trained
Explanation:
Split the data into two randomly sampled DataFrame,and then train the model with one DataFrame and test it with the other .As we have know labels in the data frame ,so this approch will give us a better picture on how accuractly our model is trained
<em>Career Objectives </em>are pointless in a resume, Things like experience, Contact details, education and skills, help the company decide whether to take you or not, in accordance with their needs. They don't need to know why you want the job as opposed to how you could help them.