Scatter Plot.pptx

Scatter Plot Role in Data Analytics

1. Scatter Plot Mrs. K.KASTHURI, Assistant Professor, V.V.Vanniaperumal College for Women, Virudhunagar

2. Definition of Scatter plot A scatter plot is  a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data . It is also called as scatter graph, scatter chart, scattergram , or scatter diagram.

3. What is a scatter plot used for? S catter plot used  to determine whether or not two variables have a relationship or correlation.  A  scatter plot  (aka  scatter chart ,  scatter graph ) uses dots to represent values for two different numeric variables. Example

4.  characteristics of a scatter plot scatter plot has 4 characteristics. They are Form Direction Strength Outliers 1. Form - Is the association linear or nonlinear ? 2. Direction -  Is the association positive or negative. 3. Strength - the association appear to be strong, moderately strong, or weak 4. Outliers - Do there appear to be any data points that are unusually far away from the general pattern.

5. When to use scatter plot Scatter plots are used in either of the following situations. When we have paired numerical data When there are multiple values of the dependent variable for a unique value of an independent variable In determining the relationship between variables in some scenarios, such as identifying potential root causes of problems, checking whether two products that appear to be related both occur with the exact cause and so on.

6. Scatter Plot Uses and Examples Scatter plots instantly report a large volume of data. It is beneficial in the following situations For a large set of data points given Each set comprises a pair of values The given data is in numeric form

7. Scatter plot Correlation T he correlation is a statistical measure of the relationship between the two variables’ relative movements . If the variables are correlated, the points will fall along a line or curve. The better the correlation, the closer the points will touch the line. 

8. Types of correlation The scatter plot explains the correlation between two attributes or variables . It represents how closely the two variables are connected. There can be three such situations to see the relation between the two variables. They are 1. Positive Correlation 2. Negative Correlation 3. No Correlation

9. Positive Correlation When the points in the graph are rising, moving from left to right, then the scatter plot shows a positive correlation. It means the values of one variable are increasing with respect to another. Now positive correlation can further be classified into three categories: 1. Perfect Positive  – Which represents a perfectly straight line 2. High Positive  – All points are nearby 3. Low Positive  – When all the points are scattered

10. Negative Correlation When the points in the scatter graph fall while moving left to right, then it is called a negative correlation. It means the values of one variable are decreasing with respect to another. These are also of three types: 1. Perfect Negative  – Which form almost a straight line 2. High Negative  – When points are near to one another 3. Low Negative  – When points are in scattered form

11. No Correlation When the points are scattered all over the graph and it is difficult to conclude whether the values are increasing or decreasing, then there is no correlation between the variables.

12. Scatter plot Example Construct a scatter plot with the help of the below example. Question: Draw a scatter plot for the given data that shows the number of games played and scores obtained in each instance. Solution: X-axis or horizontal axis: Number of games Y-axis or vertical axis: Scores Now, the scatter graph will be: No. of games 3 5 2 6 7 1 2 7 1 7 Scores 80 90 75 80 90 50 65 85 40 100

13. Thank you