If a graph has no breaks in it, it is continuous.
Not qualitative
line breaks
The tan [tangent] function.When a function has two or more brakes, this is not a continuous function, but it can be a continuous function in some intervals such as the tangent does.
the five graph is line graph,bar graph,pictograph,pie graph and coin graph
bar graph,line graph and pie graph
A continuous graph.
It is a continuous line graph.
Not qualitative
A continuous graph ?
line breaks
continuous
A graph with no breaks is called a "continuous graph." In mathematical terms, this means that the graph can be drawn without lifting the pencil from the paper, indicating that the function it represents is continuous over its domain. Continuous graphs typically exhibit smooth transitions without any jumps, holes, or asymptotes.
In a graph, breaks should typically be avoided as they can mislead viewers and distort the data representation. Instead, consider using two separate graphs or axes to clearly present the data without breaks.
The graph of a continuous function will not have any 'breaks' or 'gaps' in it. You can draw it without lifting your pencil or pen. The graph of a discrete function will just be a set of lines.
To determine the domain of a function from its graph, examine the horizontal extent of the graph. Identify all the x-values for which there are corresponding y-values. If there are any breaks, holes, or vertical asymptotes in the graph, those x-values are excluded from the domain. The domain can then be expressed in interval notation, indicating any restrictions found.
Numbers that are left off a graph to save space can be shown using lines called "breaks" or "broken axes." These breaks indicate that a portion of the scale has been omitted, allowing the graph to present the data more clearly without clutter. This technique helps to focus on the most relevant data points while maintaining a clean visual representation.
If the line graph has a broken line between the points, it indicates that there are gaps in the data or that the values are not continuous. This could signify missing data points, changes in measurement conditions, or intervals where no observations were made. Such breaks can highlight important shifts or anomalies in the dataset. It’s essential to interpret these breaks carefully to understand the context of the data being represented.