Data visualization | vis.zone

Output Shape / dot

A dot plot or dot chart is a statistical chart consisting of data points plotted on a fairly simple scale, typically using filled in circles. There are two common versions of the dot chart. The first is described by Leland Wilkinson as a graph that has been used in hand-drawn (pre-computer era) graphs to depict distributions. The other version is described by William Cleveland as an alternative to the bar chart, in which dots are used to depict the quantitative values (e.g. counts) associated with categorical variables.

Dot Plot

In function it is identical to a normal bar chart. But visually it consists of a line anchored from the x axis and a dot at the end to mark the value.
The lollipop chart is often claimed to be useful compared to a normal bar chart, if you are dealing with a large number of values and when the values are all high, such as in the 80-90% range (out of 100%). Then a large set of tall columns can be visually aggressive.
The chart also has some less fortunate features:
The center of the circle at the end of the lollipop marks the value, but the location of the center is difficult to judge, making it imprecise compared to the straight edge of a bar, and half of the circle extends beyond the value that it represents, making it inaccurate.
Related chart types includes the dumbbell plot which focus on the span between two values, by highlighting the difference.

Lollipop Chart

An Arc Diagram uses a one-dimensional layout of nodes with circular arcs to represent connections. Nodes are placed along a single line and arcs are used to display links between the nodes. The thickness of the lines can display frequency between the nodes.
The Arc Diagram can have a similar purpose as the Chord Diagram and the Network Visualisation. But it may not be as effective to show structure in two dimensions as it serves the purpose to easy identify correlation.

Arc Diagram

The Matrix Diagram shows the relationship between items. At each intersection a relationship is either absent or present. It then gives information about the relationship, such as its strength, the roles played by various individuals or measurements. It can be shaped differently depending on how many groups must be compared. Six differently shaped matrices are possible: L, T, Y, X, C, R and roof-shaped.

Matrix Diagram

A trendline is a line that is drawn over pivot highs or under pivot lows to show the general course or tendency of something. Trendlines are a visual representation of support and resistance in any time frame.

Trendline

A Pie Chart Map is simply a combination of a Pie Chart data visualization and a map. It is used to visualize location and numerical proportion in a simple way. Sometimes you will see a combination of both Pie Chart, Map and Bubble Chart. Where the size of the Pie Chart circle allows one more dimension to the visualization.

Pie Chart Map

A dot density map is a map type that uses a dot or another symbol to show the presence of a feature or phenomenon.
In a dot density map, areas with many dots indicate high concentrations of values for the chosen field and fewer dots indicate lower concentrations.
Each dot on a dot-density map can either represent one single recording of a phenomenon (one-to-one) or represent a given quantity of it (one-to-many).

Dot Density Map

The opposite diagram can be used to display two set of opposites in a horizontal and vertical axis using Cartesian coordinates.
The data or items are displayed as a collection of points, each having the value of two variables determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis. In many ways it is similar to the scatter plot.
The values can be data driven, but it is often used for conceptual purposes by displaying opposites of an issue on a relative scale.

Opposite Diagram

A Roof Shaped Matrix Diagram is one of six forms of Matrix Diagram. A Matrix Diagram shows the relationship between items. At each intersection, a relationship is either absent or present. It then gives information about the relationship, such as its strength, the roles played by various individuals or measurements. It can be shaped differently depending on how many groups must be compared. The other five differently shaped matrixes are: L, T, Y, X, C and R.

Matrix Diagram (Roof Shaped)

A Sociogram is a graphic representation of social links that a person has. It is a graph drawing that plots the structure of interpersonal relations in a group situation. A sociogram can be drawn on the basis of many different criteria: Social relations, channels of influence, lines of communication etc.

Sociogram

A scatter plot is a type of mathematical diagram using Cartesian coordinates to display values for two variables for a set of data. The data is displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position on the vertical axis.

Scatter Plot

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.

Cluster Analysis

Network Visualisation (also called Network Graph) is often used to visualise complex relationships between a huge amount of elements. A network visualisation displays undirected and directed graph structures. This type of visualization illuminates relationships between entities. Entities are displayed as round nodes and lines show the relationships between them. The vivid display of network nodes can highlight non-trivial data discrepancies that may be otherwise be overlooked.

Network Visualisation

Dumbbell dot plots — dot plots with two or more series of data — are an alternative to the clustered bar chart or slope chart.
A dumbbell dot plot can be used to visualize two or three different points in time, or to triangulate different viewpoints (e.g., one dot for Republicans and another dot for Democrats, or one dot for principals and another dot for teachers).

Dumbbell Plot

Taylor diagrams (Taylor, 2001) provide a way of graphically summarizing how closely a pattern (or a set of patterns) matches observations. The similarity between two patterns is quantified in terms of their correlation, their centered root-mean-square difference and the amplitude of their variations (represented by their standard deviations). These diagrams are especially useful in evaluating multiple aspects of complex models or in gauging the relative skill of many different models (e.g., IPCC, 2001).

Taylor diagram

Bumps charts are designed for exploring changes in rank over time.

Bump Chart

Y-Matrix is one of six forms of Matrix Diagram. A Matrix Diagram shows the relationship between items. At each intersection a relationship is either absent or present. It then gives information about the relationship, such as its strength, the roles played by various individuals or measurements. It can be shaped differently depending on how many groups must be compared. The other five differently shaped matrices are: L, T, X, C, R and roof-shaped.

Matrix Diagram (Y-Shaped)

A three-dimensional scatter plot is like a scatter plot, but with g three variables.Provided that x, y, and z or f(x, y) are real numbers, the graph can be represented as dots in a three-dimensional Cartesian coordinate system. It is typically drawn on a two-dimensional page or screen using perspective methods (isometric or perspective),  so that one of the dimensions appears to be coming out of the page.

3D Scatter Plot

A bagplot is a method in robust statistics for visualizing two-dimensional statistical data. The bagplot allows one to visualize the location, spread, skewness, and outliers of the data set. The bagplot consists of three nested polygons, called the “bag”, the “fence”, and the “loop”. The bagplot is sometimes defined as the multidimensional (bivariate) version of the box plot.

Bagplot

A ternary plot is a barycentric plot on three variables which sum to a constant. It graphically depicts the ratios of the three variables as positions in an equilateral triangle. It is used in physical chemistry, petrology, mineralogy, metallurgy, and other physical sciences to show the compositions of systems composed of three species.

Ternary Plot

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