Data visualization
Data visualization is a good starting point for data mining. There are several approaches to data mining that supports smart decisions. Data visualization places data in a visual context. It extracts the data in a clear and understandable way without any form of reading or writing. Results are displayed in the form of pie charts, graphs, and any other statistical representation. Such multidimensional views of data aid in developing a preliminary understanding of the trends that are hidden in the data set.
Explanation:
When your nonverbal signals match up with the words you're saying, they increase trust, clarity, and rapport. When they don't, they can generate tension, mistrust, and confusion.
Answer:
Hi there! This can be implemented in a simple Python function which uses the "random" module to generate the number.
Explanation:
Using Python as the languge, we can write a the below code in a file called styles.py. The first line imports the randint function from the "random" module. The setStyles() function declares an array or 5 elements (here I have just used numbers but these could be string names of the stylesheets as well). Next, styleNum is assigned the random number and the associated stylesheet is selected from the array of stylesheets.
styles.py
from random import randint
def setStyles():
stylesheets = [1,2,3,4,5];
styleNum = randint(1,5);
stylesheet = stylesheets[styleNum];
print(stylesheet);
setStyles();
The CPU performs basic arithmetic, logic, controlling, and input/output (I/O) operations specified by the instructions in the program. This contrasts with external components such as main memory and I/O circuitry, and specialized processors such as graphics processing units (GPUs).
Answer:
Example of organizational variables are codes of ethics, ethical climate, organizational size, top management, organizational structure and organization culture.
Explanation:
Organizational variables can be defined as characteristics of a decision that influences the decision-making process and its outcome. This organizational variables also influence how an individual makes decisions.
Example of organizational variables are codes of ethics, ethical climate, organizational size, top management, organizational structure and organization culture.
