Data that is'nt related to the question or analysis in hand.
You may not have any units. Standard units are not used in data on household size, for example.
data organization and analysis
Definitely, the technological advancement it allows us to collect and processing more data because computers and hard drives can collect a lot more data than humans can. The more data we produce our minds can't collect all of it, so therefore we have computers and such to collect it. Since we will have more technological advancements, we could collect more data at a much faster rate and therefore the ability for processing that data could be much higher for example statistics data about geographic population , for sure this technological innovation for data processing could enhance the chances to reduce the errors
For example statistical analysis of data, mathematics of spectral data processing, rational experiments design, VSEPR, LCAO, etc.
DATA analysis
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).
Data Analysis
Data that is'nt related to the question or analysis in hand.
Data is the Information stored on Computers. Data makes up the files on the computer you use.
computers in scientific field are used for inventing things
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.
Analyzing data collected by others..:)
Which is an example of a study that is based on a secondary analysis? A. Collecting data by surveying people B. Collecting data by interviewing people C. Analyzing data collected by others D. Analyzing data collected over a period of a year Apex-Teddi
Which is an example of a study that is based on a secondary analysis? A. Collecting data by surveying people B. Collecting data by interviewing people C. Analyzing data collected by others D. Analyzing data collected over a period of a year Apex-Teddi
For example, personal digital assistants and cellular telephones communicate with desktop computers through data transfer.
Computers are important in sociology for data collection, analysis, and visualization. They enable researchers to gather large amounts of data efficiently, conduct statistical analyses, and create visual representations of social phenomena. Computers also facilitate collaboration among sociologists by allowing them to share and work on data remotely.