Answer:
How to create a string and assign it to a variable. To create a string, put the sequence of characters inside either single quotes, double quotes, or triple quotes and then assign it to a variable.
Answer:
Sort dialog box
Explanation:
Sort dialogue box is used to sort data in Excel.
The add level Adds another row to the dialog box so additional columns can be sorted while the delete level removes any unwanted level. How to access it: Press the down arrow beside the sort order tab. Tap the button "The Largest to Smallest". Tap the Add level button.
To convert the inputs to dollars and cents, we make use of a combination of multiplication and addition.
The program written in Python where comments are used to explain each line is as follows:
<em />
<em>#This gets input for the number of quarters</em>
quarters = int(input("Quarters: "))
<em>#This gets input for the number of dimes</em>
dimes = int(input("Dimes: "))
<em>#This gets input for the number of nickels</em>
nickels= int(input("Nickels: "))
<em>#This gets input for the number of pennies</em>
pennies= int(input("Pennies: "))
<em>#This converts the amount to dollars and cents</em>
dollars = quarters * 0.25 + dimes * 0.10 + nickels * 0.05 + pennies * 0.01
<em>#This prints the amount to 2 decimal places</em>
print("Amount ${:.2f}".format(dollars))
Read more about Python programs at:
brainly.com/question/22841107
Maia can quickly and easily adjust the spacing that exists before and after her paragraphs. To achieve this, she should select her paragraphs and click the Line and Spacing command in the Paragraph command group. She should be able to click the Add Space Before Paragraph from the drop-down menu. The paragraph spacing should change. In the same drop-down menu, she can also select the Line Spacing Option. This will open the Paragraph dialog box. This option will let her control how much space She wants before and after the paragraph. These two options are placed and indicated down below the Paragraph dialog box.
Data visualization
Data visualization is a good starting point for data mining. There are several approaches to data mining that supports smart decisions. Data visualization places data in a visual context. It extracts the data in a clear and understandable way without any form of reading or writing. Results are displayed in the form of pie charts, graphs, and any other statistical representation. Such multidimensional views of data aid in developing a preliminary understanding of the trends that are hidden in the data set.
