A Scatter Chart (other names Scatter Plot, Scatter Diagram, Scatter Graph, Correlation Chart) is one of the Seven Basic tools of quality control. This is a simple and convenient tool intended to identify the relationship between two types of data and allowing one to visualize how a change in one variable affects another one. A Scatter Chart 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, as well as to show the absence or presence of correlation between two variables and to define its degree, to depict the relationships of price and quality rating, to determine the correlation between the quality parameter and the factor affecting it. The correlation can be positive, negative, or null, and its type can be easily determined with only a glance at the position of points on the Scatter Chart.
A Scatter Chart is a quite informative diagram. The direction and compactness of the points' cluster indicate the type and strength of the relationship between two variables, on the basis of which it is possible to make certain conclusions and to take further decisions. The more this cluster is similar to the straight line, the stronger is the correlation between the paired data. However, in some cases, a strong relationship can also be significantly affected by some third variable, which eventually clusters the points on the Scatter Diagram.
The Scatter Diagrams Solution extends ConceptDraw DIAGRAM functionality with templates, samples, and a library of vector stencils that make simple the construction of a Scatter Plot of any complexity. The Scatter Chart Solution makes it easy to design attractive Scatter Diagrams used in various fields of science, work, and life activities. Use the ConceptDraw DIAGRAM application's ability to enter the data to the table and to construct the Scatter Plot Graph automatically according to these data.
There is 1 library containing 7 vector objects in the Scatter Diagrams solution.
There are a few samples that you see on this page which were created in the ConceptDraw DIAGRAM application by using the Scatter Diagrams solution. Some of the solution's capabilities as well as the professional results which you can achieve are all demonstrated here on this page.
All source documents are vector graphic documents which are always available for modifying, reviewing and/or converting to many different formats, such as MS PowerPoint, PDF file, MS Visio, and many other graphic ones from the ConceptDraw Solution Park or ConceptDraw STORE. The Scatter Diagrams solution is available to all ConceptDraw DIAGRAM users to get installed and used while working in the ConceptDraw DIAGRAM diagramming and drawing software.
This template will help you save your time while drawing a Scatter Chart. You can add or remove points using the commands from the object’s Action menu and assign their values using the table object. The change of color under the point's name in the table on any bright color conducts to highlighting of this point with it on chart.
This example was created in ConceptDraw DIAGRAM 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.
This example was created in ConceptDraw DIAGRAM 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.
This example was created in ConceptDraw DIAGRAM 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.
This example was created in ConceptDraw DIAGRAM using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 5 minutes creating this sample.
This Scatter diagram illustrates the strong positive linear correlation. The straight line freely passes through the data and depicts the linear dependence, its slope is positive and shows the existence of positive correlation.
This example was created in ConceptDraw DIAGRAM using the Scatter Diagrams library from the Scatter Diagrams solution. An experienced user spent 5 minutes creating this sample.
The correlation is an interdependence of two or more random variables. This Scatter Diagram sample demonstrates the correlation between price per 100 widgets and quantity of widgets that were purchased.
After ConceptDraw DIAGRAM is installed, the Scatter Diagrams solution can be purchased either from the Graphs and Charts area of ConceptDraw STORE itself or from our online store. Thus, you will be able to use the Scatter Diagrams solution straight after.
First of all, make sure that both ConceptDraw STORE and ConceptDraw DIAGRAM applications are downloaded and installed on your computer. Next, install the Scatter Diagrams solution from the ConceptDraw STORE to use it in the ConceptDraw DIAGRAM application.
Start using the Scatter Diagrams solution to make the professionally looking numerical data by adding the design elements taken from the stencil libraries and editing the pre-made examples that can be found there.