discrete
A raw data graphic is a visual representation of unprocessed, unanalyzed data. It typically shows the individual values or observations without any summarization or manipulation. This type of graphic is useful for initially exploring and understanding the data before further analysis.
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.
You can calculate the mean, median, and std dev for discrete or continuous data. Each type has its own set of formulas.
continuous discrete
discrete
Forms or tables are the most effective type of graphic to show attributes.
Forms or tables are the most effective type of graphic to show attributes.
table
I think you are going for continuous variable, as compared with discrete variables.
representational
non-representational
A raw data graphic is a visual representation of unprocessed, unanalyzed data. It typically shows the individual values or observations without any summarization or manipulation. This type of graphic is useful for initially exploring and understanding the data before further analysis.
For discrete data, a bar chart. For continuous data a grouped frequency chart (histogram).
A brief explanation of the data type and in what form.
Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.
matrix