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Vinvika [58]
1 year ago
8

When you complete a form online with your name, address, and credit card information in order to make a purchase, you are giving

the company ________ data that can populate a relational database or spreadsheet.
Computers and Technology
1 answer:
mafiozo [28]1 year ago
3 0

Answer:

Structured

Explanation:

A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.

In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.

This ultimately implies that, a data dictionary found in a computer database system typically contains the records about all the data elements (objects) such as data relationships with other elements, ownership, type, size, primary keys etc. These records are stored and communicated to other data user when required or needed.

A relational database can be defined as a type of database that is structured in a manner that there exists a relationship between its elements.

Hence, when a user completes a form online by providing his or her name, address, and credit card information in order to make a purchase, he or she is giving the company structured data (pre-defined and formatted to a set structure) that can be used to make up (populate) a relational database or spreadsheet.

A spreadsheet can be defined as a file or document which comprises of cells in a tabulated format (rows and columns) typically used for formatting, arranging, analyzing, storing, calculating and sorting data on computer systems.

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A(n) ____________________ is a named collection of stored data, instructions, or information and can contain text, images, video
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. Create a text file that contains your expenses for last month in the following categories: • Rent • Gas • Food • Clothing • Ca
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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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A common fallacy is to use MIPS (millions of instructions per second) to compare the performance of two different processors, an
yulyashka [42]

The question is incomplete. It can be found in search engines. However, kindly find the complete question below:

Question

Cites as a pitfall the utilization of a subset of the performance equation as a performance metric. To illustrate this, consider the following two processors. P1 has a clock rate of 4 GHz, average CPI of 0.9, and requires the execution of 5.0E9 instructions. P2 has a clock rate of 3 GHz, an average CPI of 0.75, and requires the execution of 1.0E9 instructions. 1. One usual fallacy is to consider the computer with the largest clock rate as having the largest performance. Check if this is true for P1 and P2. 2. Another fallacy is to consider that the processor executing the largest number of instructions will need a larger CPU time. Considering that processor P1 is executing a sequence of 1.0E9 instructions and that the CPI of processors P1 and P2 do not change, determine the number of instructions that P2 can execute in the same time that P1 needs to execute 1.0E9 instructions. 3. A common fallacy is to use MIPS (millions of instructions per second) to compare the performance of two different processors, and consider that the processor with the largest MIPS has the largest performance. Check if this is true for P1 and P2. 4. Another common performance figure is MFLOPS (millions of floating-point operations per second), defined as MFLOPS = No. FP operations / (execution time x 1E6) but this figure has the same problems as MIPS. Assume that 40% of the instructions executed on both P1 and P2 are floating-point instructions. Find the MFLOPS figures for the programs.

Answer:

(1) We will use the formula:

                                       CPU time = number of instructions x CPI / Clock rate

So, using the 1 Ghz = 10⁹ Hz, we get that

CPU time₁ = 5 x 10⁹ x 0.9 / 4 Gh

                    = 4.5 x 10⁹ / 4 x 10⁹Hz = 1.125 s

and,

CPU time₂ = 1 x  10⁹ x 0.75 / 3 Ghz

                  = 0.75 x 10⁹ / 3 x 10⁹ Hz = 0.25 s

So, P2 is actually a lot faster than P1 since CPU₂ is less than CPU₁

(2)

     Find the CPU time of P1 using (*)

CPU time₁ = 10⁹ x 0.9 / 4 Ghz

                = 0.9 x 10⁹ / 4 x 10⁹ Hz = 0.225 s

So, we need to find the number of instructions₂ such that  CPU time₂ = 0.225 s. This means that using (*) along with clock rate₂ = 3 Ghz and CPI₂ = 0.75

Therefore,   numbers of instruction₂ x 0.75 / 3 Ghz = 0.225 s

Hence, numbers of instructions₂ = 0.225 x 3 x  10⁹ / 0.75  = 9 x 10⁸

So, P1 can process more instructions than P2 in the same period of time.

(3)

We recall  that:

MIPS = Clock rate / CPI X 10⁶

  So, MIPS₁ = 4GHZ / 0.9 X 10⁶ = 4 X 10⁹HZ / 0.9 X 10⁶ = 4444

        MIPS₂ = 3GHZ / 0.75 X 10⁶ = 3 x 10⁹ / 0.75 X 10⁶ = 4000

So, P1 has the bigger MIPS

(4)

  We now recall that:

MFLOPS = FLOPS Instructions / time x 10⁶

              = 0.4 x instructions / time x 10⁶ = 0.4 MIPS

Therefore,

                  MFLOPS₁ = 1777.6

                  MFLOPS₂ = 1600

Again, P1 has the bigger MFLOPS

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