Scatter Diagrams

A Scatter Chart (other names Scatter Plot, Scatter Diagram, Scatter Graph) is one of the Seven Basic tools of quality control. It displays the data set as a collection of points in Cartesian coordinates; each of them is determined by the values of two variables (position on the horizontal axis and vertical axis).

Scatter Diagrams are used for identifying potential linear and nonlinear relationships between variables. They are useful to visualize how a change in one variable affects another. Scatter Diagrams are also used to depict the relationships of price and quality rating, and to show the absence or presence of correlation between two variables and its degree. The correlation can be positive, negative, or null, its type can be easy defined with only a glance on the position of points on the Scatter Chart.

The Scatter Diagrams solution extends ConceptDraw PRO v10 functionality with templates, samples, and a library of vector stencils that make construction of a Scatter Plot easy. The Scatter Chart Solution makes it easy to design attractive Scatter Diagrams used in various fields of science, work, and life activities. ConceptDraw PRO lets you enter the data to the table and construct the Scatter Plot Graph automatically according to these data.


There is 1 library containing 7 vector objects in the Scatter Diagrams solution.

Design Elements — Scatter Graphs

Design Elements — Scatter Diagrams

Examples

The samples you see on this page were created in ConceptDraw PRO using templates provided with the “Scatter Diagrams” solution. These documents demonstrate some of the solution's capabilities, and the results you can achieve.

All source documents are vector graphic documents. They are available for reviewing, modifying or converting to a variety of formats (Bitmap Image, PDF, PowerPoint Presentation or MS Visio) from the ConceptDraw Solution Park. The “Scatter Diagrams” solution is available for all ConceptDraw PRO v10 users.

Template: Scatter Graph

Scatter Graph Template

Example 1: Changes in Top 1% Income Share and Top Marginal Tax Rate (1975-2008)

This example was created in ConceptDraw PRO using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 20 minutes creating this sample.

Using predesigned objects from ConceptDraw Scatter Diagrams solution allows you focus on data you ahve, not on placing objects. This saves your time and allows get a professional result quickly.

Scatter Diagram

Example 2: K-medoid

This example was created in ConceptDraw PRO using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 2 minutes creating this sample.

This example shows that if you have data ready to be displayed you need only two minutes to fill cells in library object to get a scatter diagram that is ready to print and present.

Scatter Plot Example

Example 3: Scatter Diagram — Baby Height

This example was created in ConceptDraw PRO using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 5 minutes creating this sample.

A scatter diagram displays data as a collection of points. Each point has 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. This informative sample notes the dependence of baby’s height as it relates to their age.

Scatter Plot

Example 4: Scatter Plot — Linear Regression

This example was created in ConceptDraw PRO using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 10 minutes creating this sample.

This Scatter Diagram illustrates the linear regression - the method widely used in statistics, which models the relationships between the dependent variable y and one or several independent variables x with a linear dependence function.

Scatter Plot Example

Example 5: Scatter Plot with Missing Categories

This example was created in ConceptDraw PRO using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 7 minutes creating this sample.

This diagram compares two scatter plots by placing them side by side – regular and with missing categories. For increased visibility, you can use the properties of colors and additionally highlight the differences using more vivid color.

Scatter Plot Example