If it is not necessary to reflect the proportion, the frame diagram may be clearer.Īpplication Scenario: weighted tree data, proportion of tree data Rectangular tree diagrams are suitable for showing the hierarchy with weight relationships. Compared with the traditional tree structure diagram, the rectangular tree diagram makes more efficient use of space and has the function of showing the proportion. The rectangular tree diagramis suitable for presenting data with hierarchical relationships, which can visually reflect the comparison between the same levels. The frame diagram is a visual means of presenting the hierarchy in the form of a tree structure, which clearly shows the hierarchical relationship.Īpplication Scenario: hierarchy display, process display The radar chart also has a stacked column style that can be used for two-way comparison between classification and series, while also representing the proportion.Īpplication Scenario: dimension analysis, series comparison, series weight analysis Radar charts are suitable for demonstrating job performance. They also help to observe which variables in the data set have higher or lower values. Radar charts are used to compare multiple quantized variables, such as seeing which variables have similar values, or if there are extreme values. It can also be made into a ring or a tube type, indicating the ratio.Īpplication Scenario: clock, ratio display The gauge is suitable for comparison between intervals. It can visually represent the progress or actual situation of an indicator. The scale represents the metric, the pointer represents the dimension, and the pointer angle represents the value. We should note that the size of the bubble is limited, and too many bubbles will make the chart difficult to read.Īpplication Scenario: comparison of classified data, correlation analysisĪ gauge in data visualization is a kind of materialized chart. Except for the values of the variables represented by the X and Y axes, the area of each bubble represents the third value. Making a scatter plot requires a lot of data, otherwise the correlation is not obvious.Īpplication Scenario: correlation analysis, data distributionĪ bubble chart is a multivariatechart that is a variant of a scatter plot. By observing the distribution of the data points, we can infer the correlation between the variables. The position of the point is determined by the value of the variable. The scatter plot shows two variables in the form of points on a rectangular coordinate system. The pie chart is not suitable for multiple series of data, because as the series increase, each slice becomes smaller, and finally the size distinction is not obvious.Ī pie chart can also be made into a multi-layer pie chart, showing the proportion of different categorical data, while also reflecting the hierarchical relationship.Īpplication Scenario: series ratio, series size comparison (rose diagram) Pie charts are widely used in various fields to represent the proportion of different classifications, and to compare various classifications by the arc. The area without transparency will cause the different series to cover each other.Īpplication Scenario: series ratio, time trend ratio The transparency can help the user to observe the overlapping relationship between different series. The fill color of the area chart should have a certain transparency. The filling of the color can better highlight the trend information. It fills the area between the polyline and the axis in the line chart with color. The area chart is formed on the basis of the line chart. And it is better not to exceed 5 polylines on the same graph.Īpplication Scenario: trend of data volume over time, comparison of series trends It should be noted that the number of data records of the line graph should be greater than 2, which can be used for trend comparison of large data volume. It is characterized by a tendency to reflect things as they change over time or ordered categories. Compared with the column chart, the positions of its two axes are changed.Īpplication Scenario: comparison of data (the category name can be longer because there is more space on the Y axis)Ī line chart is used to show the change of data over a continuous time interval or time span. The limitation is that it is only suitable for small and medium-sized data sets.Īpplication Scenario: comparison of classified dataīar charts are similar to column charts, but the number of bars can be relatively large. The column chart takes advantage of the height of the column to reflect the difference in the data, and the human eye is sensitive to height differences. Column charts use vertical columns to show numerical comparisons between categories, and the number of columns should not be too large (the labels of the axis may appear incomplete if there are too many columns).
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