Data visualization |

Input Data / a

A line chart or line graph is a type of chart which displays information as a series of data points called ‘markers’ connected by straight line segments.
It is similar to a scatter plot except that the measurement points are ordered (typically by their x-axis value) and joined with straight line segments. Line Charts show how a particular data changes at equal intervals of time.
A line chart is similar to the spline graph, but the spline graph draws a curved line between the points instead of the straight lines.

Line Graph

An Area Chart or area graph are basically a line graph with the area below the lined filled with colors or textures. Like line graphs area charts are  used to represent the development of quantitative values over a time period. It can also be used to compare two or more categories and is similar to the Stacked Area Chart.
Area charts often used to show overall trends over time rather than specific values.

Area Chart

A compound data vizulisation type, combining a scaled timeline with an area chart, a line graph or similar to show the development. It is useful to explain big changes in the development with events or causes. The events are typically visualized with labels anchored to the timeline.

Development & Causes

The Spline chart type is a Line graph that plots a fitted curve through each data point in a series. Line Charts show how a particular data changes at equal intervals of time.

Spline Graph

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

A stepped line graph (also called step chart) is a chart similar to a line graph, but with the line forming a series of steps between data points. A stepped line chart can be useful when you want to show the changes that occur at irregular intervals. For example, price rise in milk products, petrol, tax rate, interest rates, etc.

Stepped Line Graph

Radial Area Chart is a variation of Area Chart. An area chart displays graphically quantitive data. It is based on the line chart. The area between axis and line are commonly emphasized with colors, textures and hatchings. Whereas area charts are used to represent cumulated totals using numbers or percentages over time, Radial Area Chart can be also used to display categories instead.

Radial Area Chart

Hexagonal Binning is another way to manage the problem of having to many points that start to overlap. Hexagonal binning plots density, rather than points. Points are binned into gridded hexagons and distribution (the number of points per hexagon) is displayed using either the color or the area of the hexagons.This technique was first described in 1987 (D.B.Carr et al. Scatterplot Matrix Techniques for large N, Journal of the American Statistical Association, No.389 pp 424-436).
There are many reasons for using hexagons instead of squares for binning a 2D surface as a plane. The most evident is that hexagons are more similar to circle than square. This translates in more efficient data aggregation around the bin center. This can be seen by looking at some particular properties of hexagons and, especially, of the hexagonal tessellation.

Hexagonal Binning

Radial Line Graph is a part of radial graphs that takes data and render it as collection of data points wrapped around a circle. It is also mapping a list of categories from the minimum to the maximum of the extent of the chart. Radial Line Graph is rendered using a collection of straight lines connecting data points.

Radial Line Graph

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.