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kompoz [17]
1 year ago
9

Monica needs to work on a document where she has to highlight topics in bold and add emphasis to some words in a paragraph using

italics. Which keys will allow her to highlight and italicize the words?
Computers and Technology
1 answer:
sp2606 [1]1 year ago
7 0
<span>Monica needs to work on a document where she has to highlight topics in bold and add emphasis to some words in a paragraph using italics. These keys will allow her to highlight and italicize the words : 
</span>Ctrl+B combination of keys will allow Monica to highlight text in bold. The Ctrl+I combination of keys will allow her to italicize text. 
Ctrl+B+I  combination of keys will allow her to make it bold and italicize at the same time.
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A file concordance tracks the unique words in a file and their frequencies. Write a program that displays a concordance for a fi
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Answer:

I am writing a Python program.

def concordance(filename):  # function that takes a file name as parameter and returns the concordance for that file

   file = open(filename,"r")  #opens file in read mode

   unique={}  #creates and empty list

   for word in file.read().split():  #loops through every word in the file

       if word in unique:  # if words is already present in the list

           unique[word] += 1  #add 1 to the count of the existing word

       else:    #if word is not present in the list

           unique[word] = 1 #add the word to the list and add 1 to the count of word

           file.close();  # close the file

   for x in sorted(unique):  #sort the list and displays words with frequencies

       print(x, unique[x]);  #prints the unique words and their frequencies in alphabetical order

#prompts user to enter the name of the file

file_name=input('Enter the input file name: ')

concordance(file_name)  #calls concordance method by passing file name to it

Explanation:

The program has a function concordance that takes a text file name as parameter and returns a list of unique words and their frequencies.

The program first uses open() method to open the file in read mode. Here "r" represents the mode. Then creates an empty list named unique. Then the for loop iterates through each word in the file. Here the method read() is used to read the contents of file and split() is used to return these contents as a list of strings. The if condition inside the loop body checks each word if it is already present in the list unique. If the word is present then it adds 1 to the count of that word and if the word is not already present then it adds that unique word to the list and assign 1 as a count to that word. close() method then closes the file. The second for loop for x in sorted(unique):  is used to display the list of unique words with their frequencies. sorted() method is used to sort the list and then the loop iterates through each word in the list, through x, which acts like an index variable, and the loop displays each word along with its frequency.

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2 years ago
Jason works as a financial investment advisor. He collects financial data from clients, processes the data online to calculate t
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Answer:

The answer to this question is given below in the explanation section.

Explanation:

The correct answer to this question is an online decision support system. Because the decision support systems process the data, evaluate and predict the decision, and helps the decision-makers,  and offer real-time information immediately in making the decision in an organization. So the correct answer to this question is the decision supports system.

Why other options are not correct

Because the transaction processing system can only process the transaction and have not the capability to make the decision for the future. Office support processing system support office work, while the batch processing system process the task into the batch without user involvement.   however, online executive processing does not make decisions and offer timely information to decision-makers in an organization.

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Karen just finished typing an important memo that she needs to send to many people, including the president of the company. Kare
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<span>C. proofread her work carefully, ask a coworker to look it over, and correct all mistakes
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My guess would be A.

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A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info
Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

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2 years ago
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