Total visualization types: 100
It is an evolution of the line chart. It highlights with color the area between the line and the X-axis to show the amount of a variable, usually over time, which is the second variable.
It is a chart with bars whose extent varies. In other words, the bars move sideways. Positive values move to the right, while negative values move to the left.
Grouped horizontal bar charts display values for two or more datasets grouped under different categories on the same axis, allowing comparison of the datasets for the same categories.
Sorted bar charts, horizontal or vertical, reduce the burden of comparing values (bar lengths). Sorting is a good practice for simple bar charts since it allows for quick and easy magnitude analysis.
It is a chart that has bars whose height varies. In other words, the bars move up and down.
It is a chart that gathers several bars according to a categorical variable in addition to the one represented by the bars separately.
Sorted bar charts, horizontal or vertical, reduce the burden of comparing values (bar lengths). Sorting is a good practice for simple bar charts since it allows for quick and easy magnitude analysis.
It is a chart similar to a line chart, which shows the performance of several of them in a ranking.
It is a diagram similar to a pie chart, in which the values of the portions have equal proportions, but their distances vary from the center.
This dot plot visualization represents categorical data distributions, where each dot corresponds to a value, making it ideal for highlighting frequency and comparisons.
It is a chart showing values over the course of a day, in which an hour assumes one of the colors of a gradient from blue or green to red, i.e., from cold to hot.
It is a statistical chart that represents the distribution of numerical data or frequencies, employing linked bars rather than bar charts.
3D histograms are similar to 3D surface charts. However, they are not smoothed out. As with 3D surface charts, they describe the functional relationship between two independent variables and one dependent variable.
A line chart is a graphical representation of information that changes continuously over time.
Multi-line charts are used to show the relationship between variables on the same observation, the same variables for different observations, or even (but more rarely) the relationship between different variables on different observations.
It is a chart composed of perpendicular lines with a point at the end of them.
Grouped lollipop charts display values for two or more datasets grouped under different categories on the same axis so that you can compare the datasets for the same categories.
In essence, lollipop charts are equivalent to normal bar charts. However, they are easier on the eye. More variables can be graphed together, and the variance of their values is less aggressive in lollipop form.
It is a graph with linked points. It shows relationships between entities connected by links.
Chord Diagrams show the relationships between different individuals or entities. This type of chart is useful for analyzing similarities between groups.
Network circle diagrams are basically stripped-down versions of chord diagrams. These charts emphasize the links between specific values within a dataset.
The arc diagram is a type of network graph. Nodes are placed along a single horizontal axis and links between nodes are represented by arcs.
The network multigraph chart allows for more than one link between two nodes and even self-loops for a node. This attribute visualizes the circumstance where nodes within a dataset are connected in more than one way.
This tree diagram visualization illustrates hierarchical relationships and branching pathways, making it ideal for mapping structures, processes, or genealogies.
A radial bar chart is a bar plotted in polar coordinates, that is, bent into a circle with the lengthier bars on the outermost part of the circle.
It is a dot plot with values of two numerical variables corresponding to the x and y-axes.
It is a chart with rings within rings as levels, in which a part of one of them may correspond to several of an outer level.
A treemap is a type of visualization that hierarchically displays data. It has the structure of a tree (hence the name) with the data organized in nested rectangles (one inside the other).
