Answer:
(b). dependency and hedging.
Explanation:
In the management of risk, four common approaches for reducing risk are;
i. <em>Avoidance</em>: Especially if a risk involved in the management of a resource (or project) poses or presents a negative consequence, the best way to manage the risk simply avoid it by making sure it doesn't happen. This can be by cancelling a project or restructuring it.
ii. <em>Adaptation</em>: Another way of managing the risk associated with a resource (human or non-human resource) is to control the risk either by increasing resilience or reducing vulnerability. This is called adaptation.
iii. <em>Dependency: </em>This means accepting the risk since every project or business has inherently in it some risk associated. Dealing with it might be a way out especially knowing that there might be some experience to be gained in order to tackle similar situation in the future.
iv. <em>Hedging: </em>This means transferring the risk to some other business or organization. An example might be to get an insurance to manage this risk. In this case, the risk is transferred to the insurance company.
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Answer:
Explanation:
The following Python program uses a combination of dictionary, list, regex, and loops to accomplish what was requested. The function takes a file name as input, reads the file, and saves the individual words in a list. Then it loops through the list, adding each word into a dictionary with the number of times it appears. If the word is already in the dictionary it adds 1 to its count value. The program was tested with a file named great_expectations.txt and the output can be seen below.
import re
def wordCount(fileName):
file = open(fileName, 'r')
wordList = file.read().lower()
wordList = re.split('\s', wordList)
wordDict = {}
for word in wordList:
if word in wordDict:
wordDict[word] = wordDict.get(word) + 1
else:
wordDict[word] = 1
print(wordDict)
wordCount('great_expectations.txt')
