Heatmap: Heatmaps are another type of relation plot commonly used in data analysis.This type of relation plot is useful for exploring relationships between three variables, such as the relationship between age, income, and education level. The third variable is represented by the size of the dot. The size of the bubble corresponds to the magnitude of the third variable. Bubble plot: Bubble plots are used to show relationships between three variables.They can also be used to analyze relationship between multiple colors using different colors. Scatter plots can be used to detect whether a correlation exists between two variables. These plots display two variables as a set of points on a graph, with each point representing an observation in the dataset.

Scatter plot: Scatter plot helps visualize the correlation between two variables for one or multiple groups.The example of relation plots include scatter plot, bubble plot, heatmap, etc. They are useful for identifying patterns and correlations within complex data sets, and can help to reveal insights that might not be immediately apparent from looking at raw data. Relation plots are a type of visualization that are used to represent the relationship between two or more variables in a dataset. The picture below represents radar chart representing marks of one student in different subjects. All axes are arranged radially with equal distance between each other while starting from the center. Radar charts are also known as spider or web charts. Radar chart: Radar charts are used to compare multiple variables simultaneously with each variable plotted on its own axis which results into a polygon.Below is bar chart representing number of boys & girls playing different types of sports. Bar charts can also be used to compare single variable over a short period of time. While bar charts are used to compare the categorical data based on numerical values, histograms are used to show the distribution of single variable. Bar chart must not be confused with histograms. Var charts of two kinds: vertical bar charts and horizontal bar charts. The X-axis represents the categories or groups, while the Y-axis represents the numerical values being compared. In other words, bar charts can be used to compare discrete data or categorical data. Bar chart: Bar charts are used to compare numerical values across different categories.For smaller time periods, you can as well use bar charts. Line charts work best if the time period is greater than 10. Line charts are ideal for representing data with many data points, as they provide a clear view of the trend. The X-axis represents the time, while the Y-axis represents the value of the variables being compared. They are used to represent changes in one or more variables over time. Line chart: Line charts are used to compare variables over time and visualizing / analyzing the trends.The following are different types of comparison plots: These plots help in identifying trends, similarities, differences, and patterns in the data. Comparison plots are graphical representations used to visually compare multiple variables or single variable over time.

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