Heat maps are not commonly used in educational research, as they are more suitable for visualizing large datasets with a high number of variables.

Bar charts are commonly used to compare the frequencies of different categories, such as the number of students who scored in different ranges on a test.

Scatter plots are commonly used to show the relationship between two variables, as they allow researchers to see how one variable changes in relation to the other.

Pie charts are commonly used to visualize the distribution of data, such as the proportion of students who scored in different ranges on a test.

Box plots are commonly used to identify outliers, as they show the median, quartiles, and range of the data, as well as any outliers that fall outside of this range.

Line charts are commonly used to show the relationship between two variables over time, such as the change in student achievement over the course of a school year.

Histograms are commonly used to visualize the distribution of data, as they show the frequency of different values in a dataset.

Treemaps are commonly used to visualize the distribution of data, as they allow researchers to see the relative sizes of different categories and how they are nested within each other.

3D scatter plots are commonly used to show the relationship between three or more variables, as they allow researchers to see how each variable changes in relation to the others.

Bubble charts are commonly used to show the relationship between two variables, as they allow researchers to see how one variable changes in relation to the other, while also showing the size of a third variable.

Bar charts are commonly used to show the relationship between two variables in a categorical dataset, as they allow researchers to compare the frequencies of different categories for each variable.

Heat maps are commonly used to identify outliers, as they allow researchers to see how different values in a dataset compare to each other and to the overall distribution of the data.

Line charts are commonly used to show the relationship between two variables in a time series dataset, as they allow researchers to see how one variable changes in relation to the other over time.

Radar charts are commonly used to visualize the distribution of data, as they allow researchers to see how different values in a dataset compare to each other and to the overall distribution of the data.

3D scatter plots are commonly used to show the relationship between three or more variables in a time series dataset, as they allow researchers to see how each variable changes in relation to the others over time.