Answer:
i) The time taken for 1500 records = 15 seconds.
ii) The time taken for 1500 records = 50 seconds.
Explanation:
A is an O(n) algorithm.
An algorithm with O(n) efficiency is described as a linearly increasing algorithm, this mean that the rate at which the input increases is linear to the time needed to compute that algorithm with n inputs.
From the question, it is given that for 1000 records, the time required is: 10 seconds.
Algorithm time taken is O(n)
Hence,
1) For 1,500 records
=> 10/1000 = x/1500
=> 10x1500/1000 = x
x = 15 seconds
Thus, the time taken for 1500 records = 15 seconds.
2) For 5,000 records
=> 10/1000 = x/5000
=> 10x5000/1000 = x
x = 50 seconds
Thus, the time taken for 1500 records = 50 seconds.
Answer:
Chernoff faces.
Explanation:
Chernoff faces is a data visualization technique that was developed by a statistician named Herman Chernoff. He introduced this data visualization technique to the world in 1973 to represent multivariate or multidimensional data containing at least eighteen (18) variables.
In Chernoff faces, each attribute is associated with a specific feature of a face (nose, eyes, ears, hair, mouth, and eyebrows), and the attribute value with respect to size, shape, orientation, colour and placement is used to determine the way a facial feature is expressed.
The Chernoff face is a technique designed and developed to help detect similarities between different items and discern subtle changes in facial expressions from the perspective of an observer.
Answer:
Microsoft PowerPoint software
Explanation:
PowerPoint is the worlds mosth popular program to create slides and charts for the office stuffs .
Answer:
Size
Explanation:
Connectivity, they need internet to work.
Speed, they need it to work fast.
Storage, they need space to work.
Size, isn't all that important, unlike the rest.
Answer:
yeah, ive seen them. I dont trust expert verified answers any more than regular ones.
Explanation:
