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Pixels from a digital photo are transformed into a map and into data on a spreadsheet.

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Q: What is an example of how computers can enhance data analysis?
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How can a positive monotonic transformation be applied to enhance the data analysis process?

A positive monotonic transformation can be applied to enhance the data analysis process by transforming the data in a way that preserves the order of values while making the data more suitable for analysis. This transformation can help to normalize the data, improve the distribution of the data, and make relationships between variables more linear, which can make it easier to interpret and analyze the data effectively.


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Any type of analysis that deals with numeric data (numbers) is quantitative analysis. Qualitative analysis, on the other hand, does not have numeric data ( for example, classify people according to religion).


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What is the purpose of data analysis in Excel?

Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.Spreadsheets are for numerical analysis and manipulation. So in using Excel you would be doing a lot of analysis on numbers, like totalling them, averaging them, making charts from them, trying to determine trends from them, doing other calculations from them, comparing them and so on. Analysis of data is fundamental to computers. Spreadsheets do a lot of it with numerical data.


Which is example of a study that is based on a secondary analysis?

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The potential benefits of using AI in machine learning include improved accuracy in data analysis, faster processing of large datasets, and the ability to identify complex patterns that may be difficult for humans to detect. AI can enhance the efficiency of data analysis processes by automating repetitive tasks, reducing human error, and providing insights that can lead to more informed decision-making.


Which is an example of a study that is based on a secondary analysis?

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