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3 years ago

Readability is the level of vocabulary used on the page. True or false

Computers and Technology

1 answer:

konstantin123 [22]3 years ago

8 0

Answer:

FALSE....john has no idea what hes talking about. i knew this was false yet i looked it up and got it wrong anyway because of john its freaking false

Explanation:

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What will the document.write() statement display, given the following code snippet? var scores = new Array[94, 90, 88, 82, 73, 7

astra-53 [7]

Answer:

There are 7 scores recorded. The dropped score is 75

Explanation:

The code snippet above prints through the document.write() function. the output prints the string serving as the argument, and makes use of variables (lgth) and expression also (scores [lgth -1]). what it does is. From the point where it sees +lgth+, it checks the value, which is 7. And when it sees scores [lgth-1] it evaluates it to 75. Hence, the string above is produced.

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3 years ago

12. Which one of the following items would you be most likely to keep in a database?

AysviL [449]

The item that would be most likely to keep in a database would be the payroll records. The other items such as address book, financial statements and sales reports would not necessarily be placed in a database.

The answer would be letter A.

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4 years ago

TRUE OR FALSE!!!!!

VladimirAG [237]

The answer is True.

6 0

3 years ago

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You are asked to write an app to keep track of a relatively small music library. The app should load song information from a dat

gogolik [260]

Answer:

C++ PROGRAM

Explanation:

6 0

3 years ago

Assignment Background Video games have become an outlet for artists to express their creative ideas and imaginations and a great

Sphinxa [80]

Answer:

Code

import csv

def open_file():

try:

fname=input("Enter the filename to open (xxx.yyy): ")

fp=open(fname,encoding='utf-8')

return fp

except FileNotFoundError:

print("File not found! Please Enter correct filename with extension")

return open_file()

def read_file(fp):

fields = []

rows = []

csvreader = list(csv.reader(fp))

# skiped 1 row because it contains field name

fields = csvreader[0]

D1={}

D2={}

D3={}

# accessing the data of csv file

for line in csvreader[1:]:

name = line[0].lower().strip()

platform = line[1].lower().strip()

if line[2]!='N/A':

year = int(line[2])

else:

year=line[2]

genre = line[3].lower().strip()

publisher = line[4].lower().strip()

na_sales = float(line[5])

eur_sales = float(line[6])

jpn_sales = float(line[7])

other_sales = float(line[8])

global_sales=(na_sales+eur_sales+jpn_sales+other_sales)*1000000

if name not in D1:

D1[name]=[]

D1[name].append((name, platform, year, genre, publisher,global_sales))

if genre not in D2:

D2[genre]=[]

D2[genre].append((genre, year, na_sales, eur_sales,jpn_sales, other_sales, global_sales))

if publisher not in D3:

D3[publisher]=[]

D3[publisher].append((publisher, name, year, na_sales,eur_sales, jpn_sales, other_sales, global_sales))

# sorting

temp={}

# sorting keys

for Keys in sorted (D1) :

ls=D1[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D1=temp.copy()

temp={}

# sorting keys

for Keys in sorted (D2) :

ls=D2[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D2=temp.copy()

temp={}

# sorting keys

for Keys in sorted (D3) :

ls=D3[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D3=temp.copy()

return D1,D2,D3

def main():

fp=open_file()

D1,D2,D3=read_file(fp)

# displaying the row_count in dictionaries

cnt=0

for d in D1:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

cnt=0

for d in D2:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

cnt=0

for d in D3:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

if __name__=="__main__":

main()

Explanation:

see code and see output attached

7 0

3 years ago