C)Hydroelectric I believe.
Answer:
import numpy as np
l_int = 55/100
h_int = 65/100
hist = np.histogram( paid_tax_preparers_list, bins=5, range=(l_int, h_int))
Explanation:
Numpy is a Python package used to ease mathematical and statistical research calculations. The package creates data structures called arrays that can be used as vector items, making it easy and fast for calculation to be done.
The np.histogram method is used to create or plot histograms of a list or array against the frequency of the items in the array. The bins and the range attributes are used to adjust the display of the histogram, with bins being the number of bin in the graph and range is the given length of the histogram.
Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
The elements in a string type array will be initialized to "Null".
