a) Make an array X that has the same data as the above table (shape of X: (4, 6)). Check whether the shape of X is (4, 6) by using assert () function. (Note: assert (cond) gives an error if cond is not true.) b) Then, extract 4 parameters (size, # of bedrooms, floors, age of house) from X and put them into a new matrix P. Check if the shape of P is (4, 4) by using assert () function. c) Find the mean value of each parameter using the numpy mean function.
a) Make an array X that has the same data as the above table (shape of X: (4, 6)). Check whether the shape of X is (4, 6) by using assert () function. (Note: assert (cond) gives an error if cond is not true.) b) Then, extract 4 parameters (size, # of bedrooms, floors, age of house) from X and put them into a new matrix P. Check if the shape of P is (4, 4) by using assert () function. c) Find the mean value of each parameter using the numpy mean function.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![Exercises 2
We have some data about House prices and parameters that affect the price.
Bias
1
1
1
1
Size
2104
1416
1544
852
Number of
bedrooms
5
3
Number of
floors
1
2
2
1
Age of
house
45
40
30
36
Price(1000000won)
460
232
315
178
a) Make an array X that has the same data as the above table (shape of X: (4, 6)). Check whether the shape of
X is (4, 6) by using assert () function. (Note: assert (cond) gives an error if cond is not True.)
b) Then, extract 4 parameters (size, # of bedrooms, floors, age of house) from X and put them into a new
matrix P. Check if the shape of P is (4, 4) by using assert () function.
c) Find the mean value of each parameter using the numpy mean function.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8fb84f38-35ea-44a6-a11b-bc4fd6c6da4c%2F1e42132d-9d31-4216-a128-fdc5a02252e3%2Fszjy3p2l_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Exercises 2
We have some data about House prices and parameters that affect the price.
Bias
1
1
1
1
Size
2104
1416
1544
852
Number of
bedrooms
5
3
Number of
floors
1
2
2
1
Age of
house
45
40
30
36
Price(1000000won)
460
232
315
178
a) Make an array X that has the same data as the above table (shape of X: (4, 6)). Check whether the shape of
X is (4, 6) by using assert () function. (Note: assert (cond) gives an error if cond is not True.)
b) Then, extract 4 parameters (size, # of bedrooms, floors, age of house) from X and put them into a new
matrix P. Check if the shape of P is (4, 4) by using assert () function.
c) Find the mean value of each parameter using the numpy mean function.
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