The answer is the B: The Navigation Pane
All the objects in a Microsoft Access database are listed in the Navigation Pane. You can view and manage the categories and groups of objects in the Navigation Pane. You can also hide groups, objects, or the entire Navigation Pane. In addition, you can also use the Navigation pane to sort objects, find objects in a database, and add objects to a custom group. By default, the navigation pane appears when you open a database in Access.
Answer:
The steps to create table, hide boarder and show border around the whole table is given below.
Explanation:
<u>1. Create Table</u>
- Click on insert Tab
- In insert tab, Click on Table
- Select No. of row and columns to create the table
<u>2. Hiding Boarders</u>
- Click on Design Tab
- In table style section Choose the layout that have no boarder
<u>3. Add boarder Around table</u>
- Click on Design Tab
- Select whole table by clicking on Plus sign on the top right corner of table
- Click on arrow of boarders button in Boarders section in design tab
- Select the "outside boarder" option from the list
<em>By following above mentioned steps, jennnine can draw a boarder around the table to distinguish it from rest of the document.</em>
It will only show items whose weight is over 50 is the way it will this affect data. When the computed field is utilized in the filter, only items with a weight greater than 50 are kept.
<h3>How do the
person filter by condition in Tableau?</h3>
There are five steps involved in it that are given below-
- In the Filter Window, go to the 'Condition' tab.
- Select the 'By field' radio button.
- From the drop-down list, choose the name of the filtered field.
- Choose an aggregation type from the drop-down menu, such as Sum, Average, or Median.
- From the drop-down menu, select the operator.
Thus, It will only show items whose weight is over 50
For more details about person filter by condition in Tableau, click here:
brainly.com/question/25531734
#SPJ1
def missing_num(lst):
for n in range(1,11):
if n not in lst:
print(n)
lst = (1,3,4,5,6,7,8,9,10)
missing_num(lst)
I hope this helps!
