Grouped means the grouping of relevant data after analysis. When raw data is analyzed in proper and meaningful way then its transformed into groups and these groups are known as grouped data.
line graphs are usually the most best way to present data. sometimes i use pie graphs or bar graphs, but usually line graphs are the most meaningful.
Data analysis is the process of systematically applying statistical and logical techniques to describe, summarize, and evaluate data. It involves collecting, cleaning, and interpreting data to uncover patterns, trends, and insights that can inform decision-making. By transforming raw data into meaningful information, data analysis helps organizations and individuals make informed choices based on empirical evidence.
When there is a large number of numbers in a collection of data, it becomesimportantto organize the data in a meaningful way to make analysis easier. ...Organizing data in stem-and-leaf plots, double bar graphs, frequency tables, histograms, line plots, and line graphs makes data easier to understand and to use
Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.
Organized meaningful data is called information. Information that is useful to one person is not necessarily useful to another person.
information is organised and made into meaningful data true or false
Actually, Processed data that conveys meaning and is useful to people is called INFORMATION, not output. Response: Maybe true, but the answer to the question given is OUTPUT!
is data that has been processed and presented in an organized format
processing
Information
When data are processed, they are transformed from raw facts into meaningful information.
Data can be defined as raw facts and statistics that can be processed and analyzed to extract meaningful insights.
data that has been organized or presented in a meaningful fashion
statistics ! A+..
Insufficient data for a meaningful answer.
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.