A histogram is a graphical representation of the distribution of data. It is a bar chart with the height of each bar representing the frequency of occurrence of a particular value or range of values.

A scatter plot is a graphical representation of the relationship between two variables. Each point on the plot represents a pair of values, one for each variable. The pattern of the points can reveal the nature of the relationship between the variables.

A line chart is a graphical representation of data over time. It is a series of points connected by lines, with the points representing the values of the data at specific time intervals.

Bar charts are used to display categorical data, while histograms are used to display quantitative data. Bar charts show the frequency of occurrence of each category, while histograms show the distribution of data values.

A pie chart is a graphical representation of the distribution of data. It is a circle divided into sectors, with the size of each sector representing the proportion of the total data that belongs to that category.

A 3D scatter plot is a graphical representation of the relationship between three or more variables. Each point on the plot represents a set of values, one for each variable. The pattern of the points can reveal the nature of the relationships between the variables.

A box plot is a graphical representation of the distribution of data. It shows the median, quartiles, and outliers of the data. Box plots are useful for identifying outliers and comparing the distributions of different datasets.

A line chart is a graphical representation of data over time. It is a series of points connected by lines, with the points representing the values of the data at specific time intervals. Line charts are useful for showing the trend of data over time.

A heat map is a graphical representation of data where the individual values are represented by colors. Heat maps are useful for identifying clusters and patterns in data.

A contingency table is a tabular representation of the relationship between two categorical variables. It shows the frequency of occurrence of each combination of categories.

A treemap is a graphical representation of data where the individual values are represented by nested rectangles. Treemaps are useful for identifying clusters and patterns in data.

A box plot is a graphical representation of the distribution of data for each category of a categorical variable. It shows the median, quartiles, and outliers of the data for each category. Box plots are useful for comparing the distributions of data for different categories of a categorical variable.

A bubble chart is a graphical representation of data where the individual values are represented by bubbles. The size of each bubble represents the value of a third variable. Bubble charts are useful for showing the relationship between three variables.

A scatter plot is a graphical representation of the relationship between two quantitative variables. Each point on the plot represents a pair of values, one for each variable. The pattern of the points can reveal the nature of the relationship between the variables.

A radar chart is a graphical representation of the relationship between multiple variables. Each variable is represented by a spoke on the chart, and the value of each variable is represented by the length of the spoke. Radar charts are useful for comparing the values of multiple variables for different objects.