Descriptive analytics is best described with a report that includes charts and graphs explaining the data.
<h3>What Is Descriptive Analytics?</h3>
The interpretation of historical data through descriptive analytics helps to better comprehend changes that have taken place in a firm. The process of using a variety of historical data to make comparisons is known as descriptive analytics.
In contrast to the complicated calculations required for predictive and prescriptive analytics, descriptive analytics typically uses simple math and statistical methods, such as arithmetic, averages, and percent changes. Since results are presented using visual tools like line graphs, pie, and bar charts, descriptive analytics may - and should - be easily comprehended by a broad corporate audience.
Therefore, a report with charts and graphs illuminating the data is the best way to describe descriptive analytics.
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Answer:
$89,100
Explanation:
Let us first calculate annual gross rent for Year 1:
Total rent per month:
= 2 suites at $1,800 + 1 suites at $3,600 + 5 suites at $1,560
= $3,600 + $3,600 + $7,800
= $15,000
Annual gross rent = Total rent per month × 12
= $15,000 × 12
= $180,000
Effective gross revenue = Potential gross rent revenue - Vacancy and connection losses (10% of potential gross rent)
= $180,000 - $18,000
= $162,000
Net operating income = Effective gross revenue - Operating expenses including depreciation
= $162,000 - $72,900
= $89,100