More moderate. Now there are more organizations that focus on a far left or far right audience and their coverage is more polarized/biased toward their opinion that in the past.
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None of the above. The Flu Trends model was based on Goo-gle search data.
<h3>Goo-gle Flu Trends and the Power of Big Data</h3>
In 2009, Goo-gle launched a new service called Goo-gle Flu Trends. The service used data from Goo-gle searches to estimate the level of flu activity in different areas of the United States. The results were pretty accurate - in some cases, Goo-gle Flu Trends was able to detect flu outbreaks before government health agencies did.
Goo-gle Flu Trends was a great example of the power of big data. By analyzing a large dataset, Goo-gle was able to find patterns that would have been otherwise undetectable. And because Goo-gle has so much data, its findings were often more accurate than those of government health agencies.
Unfortunately, Goo-gle Flu Trends was discontinued in 2015. But its legacy lives on - other companies are now using big data to detect disease outbreaks, and the field of data science is only getting more important.
Learn more about trends models:
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Answer:
real GDP.
Explanation:
GDP is defined as the monetary value of all goods and services produced in an economy within a give time period. It is a measure of how productive an economy is.
Real GDP considers market prices of commodities in relation to a base year.
For example if 2012 is considered to be the base year for real GDP this year, all goods and services are multiplied by the prices as at 2012 to get the monetary value of goods and services for the present year.
Base year prices are referred to as constant prices when calculating real GDP.