Answer:
import pandas as pd
# URL for university excel sheet( CSV format)
data_url = '' "
# Load the data from University URL
university = pd.read_csv(data_url)
# filter the data to contain universities from where more than 50 students out of the top 10% of their high school classes came
university_1 = university[universty.number>50 ]
n= len(university_1)
n1= (10 *n)/100
university_1.nlargest(n1, 'number')
print(university_1)
Explanation:
We are using here Pandas. And it is meant for reading from various data sources like Excel, Acess, SQL Server, etc. And first, we filter University with student number more than or equal to 50. Finally, with the nlargest, we find the top 10% of the list. And for running the above program we only need to add the URL of the university.csv. Nothing else is required. You can have the local file address as well if the CSV is on your computer.
Answer:
The answer to this question is given below in the explanation section.
Explanation:
In this question the given options are:
- rule type
- function name
- condition
- cell reference
- argument
- format
<u>The correct options to this question are:</u>
1. rule type
3. condition
6. format
These are the areas that can be used to fill out in the New Formatting Rule dialog box. Other options are not correct becuase these are not used to fill out new formatting rule dialog box.
Um, what? I don't get what you are saying what is your question?
Answer:
"Integrity constraints
" is the correct answer.
Explanation:
- A successful DBMS offers integrity constraints, which have been an option that allows you to modify the database layout without modifying the applications accessing the repository.
- A principle or requirement which the data in something like a database should therefore obey.
So that the above is the correct choice.
Công nghệ đã thay đổi cách mọi người sử dụng để giao tiếp ở nơi làm việc hiện đại
