Causal analysis chart (Characteristic Diagram) as a result of cause and effect analysis diagram is characteristic to reason as a factor, QC seven practices courses, contact between them with arrows indicate a causal relationship. Causal analysis chart is a fully mobilize employees to use their brains, check the reason, a good way to brainstorm is also particularly suitable for the implementation of democratic management of quality in work groups. When there has been some quality problems, when no clear reason, Guangdong QC seven practices of training, you can launch a search for the problem of possible reasons, so that everyone speak their minds, all the possible causes are listed. The so-called cause and effect analysis diagram, an outcome that would cause a number of reasons, by way of illustration of the system, that attempt to express the result (characteristic) between the causes (factors) with. Shaped like fish bones, also called fishbone diagrams. Results form a particular, there must be reasons, we should try to find out the result of the use of graphical method. First proposed this concept is Dr. Shi Chuanxin Japanese quality control authority, QC seven practices, so characteristic diagram known as the reason [Ishikawa diagram]. Causal analysis diagram can be used in various stages of work to improve the general management and, in particular, to establish the initial awareness, easy to make the cause of the problem became clear, so the design steps to resolve the issue. Fifth, the causality scatter diagram data depicts a corresponding change in the XY coordinate system, in order to grasp the relevance and how it relates to the extent of, QC seven practices training company, this graph between the two variables is called "scatter plot ", also known as" correlation diagram. " 1, Category 1) positive correlation: When the variable X increases, another variable Y increases; 2) a negative correlation: when the variable X increases, but another variable Y decreases; 3) not relevant: the variable X (or Y) changes, another variable is not changed; 4) correlation curve: X starts to increase when the variable, Y increases along with, but after reaching a certain value, the value is increased when the X, Y instead decreases. 2, the implementation of step 1) Identify two variables to investigate, collect the latest data, at least 30 groups; 2) to identify the maximum and minimum values ??of two variables, the two variables described the X-axis and Y-axis ; 3) the corresponding two variables in the form of points marked on a coordinate system; and 4) were included in the diagram, producers, production time and other items; 5) interpretation of the scatter diagram correlation between the degree of correlation. 3, Application Notes, and Notes 1) corresponding to the number of at least two sets of variables in more than 30 groups, 50 groups and 100 groups best when little data is likely to cause false positives; 2) is often used to denote the abscissa reasons or arguments ordinate indicates the effect of or dependent variable; 3) Since the data obtained are often due to changes 5M1E resulting correlation data is affected, in which case the conditions required for the data layer obtained was not, or can not truly scattergram reflect the relationship between two variables; 4) occurs when there are outliers, should immediately find the cause, and not be able outlier deleted; 5) When discrepancies scatter diagram correlation with technical experience, should further review whether there is any cause of illusion. QC seven tools | Guangdong QC seven practices Training | Enterprise Road (quality businessmen) are provided by way of Huizhou City-level Enterprise Management Services Limited. Huizhou City, the rate of the Road Enterprise Management Services Ltd. (isoew.com) strong, credible, in other industries in Huizhou, Guangdong has accumulated a large number of loyal customers. The company better work attitude and continuous improvement of innovative ideas will lead enterprises into the brilliant road and you work for a better future!