A histogram is a graphical representation of the distribution of data, showing the frequency of occurrence of different values.

A scatter plot is used to visualize the relationship between two variables, showing how one variable changes in relation to the other.

A pie chart is a circular graph that displays the relative sizes of different categories, with each slice representing a category's proportion of the total.

A bar chart allows for easy comparison of different categories, as the lengths of the bars represent the values of the categories.

A line chart is used to visualize the change in a variable over time, showing how the variable's value changes at different points in time.

Color can be used in data visualization to make it more visually appealing, represent different categories of data, and highlight important information.

A 3D scatter plot is used to visualize the relationship between three variables, showing how each variable changes in relation to the other two.

A heat map allows for easy identification of patterns and trends in data, as the colors represent the values of the data points.

A box plot is used to visualize the distribution of data across multiple categories, showing the median, quartiles, and outliers for each category.

Labels are used in data visualization to identify the variables being represented, explain the meaning of the data, and make the visualization more visually appealing.

A box plot is used to visualize the relationship between two variables, with one variable being categorical and the other being continuous, showing the median, quartiles, and outliers for each category.

A treemap allows for the display of large amounts of hierarchical data, with each level of the hierarchy represented by a nested rectangle.

A line chart is used to visualize the change in a variable over time, with the data points connected by lines, showing the trend of the variable over time.

A legend is used in data visualization to identify the different variables being represented, explain the meaning of the colors or symbols used, and make the visualization more visually appealing.

A scatter plot is used to visualize the relationship between two variables, with both variables being continuous, showing how the values of one variable change in relation to the values of the other variable.