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What is commonly used to show discreet data?

what is commonly used to show discrete data


What is commonly used to show discrete data?

Bar graph.


What type of graphic is commonly used to show discrete data?

Bar charts are commonly used to display discrete data. They represent individual categories with rectangular bars, where the length of each bar corresponds to the value of that category. This format makes it easy to compare different groups or categories visually. Other options for discrete data include pie charts, but bar charts are generally more effective for comparison.


What kind of graph is commonly used to show discrete data?

A pie chart :) or a bar graph.


What graph is most commonly used to show discrete data?

A bar graph works well in this case


What is a definition of discrete data?

data that can be counted, that does not show a change over time


Can a bar graph be used to show discrete data?

Yes.


What kind of graph is use to show discrete data?

A bar graph shows discreet data, but other types can also.


Why is a line graph the best graphic aid to show the data?

you can see the change over time


What type of graph is used to show data over time?

A line graph is commonly used to show data over time. It displays information as a series of points connected by straight lines, making it easy to visualize trends, patterns, and fluctuations in the data across different time intervals. Additionally, bar graphs can also be utilized for time series data, particularly when comparing discrete time periods.


What is the definition of box plot?

a graphic way to display the median, quartiles, and extremes of a data set on a number line to show the distribution of the data.


What graphs are used to show discrete data?

Almost any kind of graph can be used to show discrete data: You can use a line graph (most economic data), a bar graph (demographics), a pictogram, a pie chart, a scatter plot, radar. Although 3-d charts can also be used, they are very poor at conveying information because of the difficulty in interpreting depth.