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Sveta_85 [38]
2 years ago
12

When preparing a spreadsheet that contains population data for different nations, what is the best way to provide a visual compa

rison of the nations’ population sizes?
A apply a yellow background color to the spreadsheet
B enter a formula to yield total populations for each nation
C create a bar graph that shows population totals for each nation
D use the AVERAGE function to calculate the average population size of a nation
Computers and Technology
2 answers:
finlep [7]2 years ago
7 0
The best answer to the question above would be option C: <span>create a bar graph that shows population totals for each nation. Since it emphasizes a visual comparison, the best way to do this is to create a bar graph. So in a bar graph, the numerical values of the variables are also presented such as the population total of each nation. In addition, the rectangular bars can easily show you the difference between each nation which makes this an ideal visual tool for comparison.</span>
Tamiku [17]2 years ago
5 0

Answer:

create a bar graph that shows population totals for each nation.

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Write a SQL query to find the population of the planet named 'Caprica' -- 10 points Find the first name, last name, and age of p
Artemon [7]

The question is incomplete! Complete question along with answer and step by step explanation is provided below.

Please find the attached question.

Answer:

a) SQL Query:

SELECT population

FROM bsg_planets

WHERE name='Caprica';

b) SQL Query:

SELECT fname, lname, age

FROM bsg_people

WHERE lname!='Adama';

c) SQL Query:

SELECT name, population

FROM bsg_planets

WHERE population > 2600000000

d) SQL Query:

SELECT fname, lname, age

FROM bsg_people

WHERE age IS NULL;

Explanation:

a) Write a SQL query to find the population of the planet named 'Caprica'

Syntax:

SELECT  Column

FROM TableName

WHERE Condition;

For the given case,

Column = population

TableName  = bsg_planets

Condition = name='Caprica'

SQL Query:

SELECT population

FROM bsg_planets

WHERE name='Caprica';

Therefore, the above SQL query finds the population of the planet named 'Caprica' from the table bsg_planets.

b) Find the first name, last name, and age of people from bsg_people whose last name is not 'Adama'

Syntax:

SELECT  Column1, Column2, Column3

FROM TableName

WHERE Condition;

For the given case,

Column1 = fname

Column2 = lname

Column3 = age

TableName  = bsg_people

Condition = lname!='Adama'

SQL Query:

SELECT fname, lname, age

FROM bsg_people

WHERE lname!='Adama';

Therefore, the above SQL query finds the first name, last name and age of people whose last name is not 'Adama' from the table bsg_people.

c) Find the name and population of the planets with a population larger than 2,600,000,000

Syntax:

SELECT  Column1, Column2

FROM TableName

WHERE Condition;

For the given case,

Column1 = name

Column2 = population

TableName  = bsg_planets

Condition = population > 2600000000

SQL Query:

SELECT name, population

FROM bsg_planets

WHERE population > 2600000000

Therefore, the above SQL query finds the name and population of the planets with a population larger than 2,600,000,000 from the table bsg_planets.

d) Find the first name, last name, and age of people from bsg_people whose age is NULL

Syntax:

SELECT  Column1, Column2, Column3

FROM TableName

WHERE Condition;

For the given case,

Column1 = fname

Column2 = lname

Column3 = age

TableName  = bsg_people

Condition = age IS NULL

SQL Query:

SELECT fname, lname, age

FROM bsg_people

WHERE age IS NULL;

Therefore, the above SQL query finds the first name, last name and age of people whose age is NULL from the table bsg_people.

6 0
2 years ago
Read 2 more answers
. Create a text file that contains your expenses for last month in the following categories: • Rent • Gas • Food • Clothing • Ca
Whitepunk [10]

Answer:

  1. from matplotlib import pyplot as plt
  2. with open("text.txt") as file:
  3.    data = file.readlines()
  4.    category = []
  5.    amount = []
  6.    for row in data:
  7.        values = row.split(" ")
  8.        category.append(values[0])
  9.        amount.append(float(values[1]))
  10.    
  11. figure = plt.figure()
  12. ax = figure.add_axes([0,0,1,1])
  13. ax.axis('equal')
  14. ax.pie(amount, labels = category, autopct='%1.2f%%')
  15. plt.show()

Explanation:

Firstly, we need to import matplotlib library (Line 1).

Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:

Rent 450

Gas 150

Food 500

Clothing 120

Car 600

Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).

Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.

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Write the addReview method, which adds a single product review, represented by a ProductReview object, to the ReviewCollector ob
Allisa [31]

Answer:

{

private String name;

private String review;

/** Constructs a ProductReview object and initializes the instance variables. */

public ProductReview(String pName, String pReview)

{

name = pName;

review = pReview;

}

/** Returns the name of the product. */

public String getName()

{ return name; }

/** Returns the review of the product. */

public String getReview()

{ return review; }

}

The ReviewCollector class, shown below, is used to represent a collection of reviews to be analyzed.

public class ReviewCollector

{

private ArrayList<ProductReview> reviewList;

private ArrayList<String> productList;

/** Constructs a ReviewCollector object and initializes the instance variables. */

public ReviewCollector()

{

reviewList = new ArrayList<ProductReview>();

productList = new ArrayList<String>();

}

/** Adds a new review to the collection of reviews, as described in part (a). */

public void addReview(ProductReview prodReview)

{ /* to be implemented in part (a) */ }

/** Returns the number of good reviews for a given product name, as described in part (b). */

public int getNumGoodReviews(String prodName)

{ /* to be implemented in part (b) */ }

// There may be instance variables, constructors, and methods not shown.

}

6 0
2 years ago
A video conferencing application isn't working due to a Domain Name System (DNS) port error. Which record requires modification
MrMuchimi

Answer:

Service record (SRV)

Explanation:

Service records (SRV record) are data records stipulating specifications of the DNS such as the port numbers, servers, hostname, priority and weight, and IP addresses of defined or cataloged services servers.

The SRV record is the source of information and the search site about the

location of particular services as such an application i need of such services will look for a related SRV record

A configured SRV is the source of the ports and personal settings for a new email client, without which the parameters set in the email client will be incorrect.

8 0
2 years ago
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Ray Of Light [21]

Answer:I believe that the most fitting answer for this question would be D., "conventions." All styles and periods of literature have their own conventions for spelling, punctuation, grammar, and capitalization. They change over the centuries and between different writers. You can also find this answer by using the process of elimination. Clarity, context, and coherence do not really have anything to do with these things. Hope this helps.

8 0
2 years ago
Read 2 more answers
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