1 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns.

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Presentation transcript:

1 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns 3.3 Exploratory Analysis Using Recursive Partitioning

2 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns 3.3 Exploratory Analysis Using Recursive Partitioning

Objectives Create, examine, and interact with JMP graphs to begin data discovery. Use options and commands to improve images for user understanding. Save scripts to a data table. 3

Graphing Continuous Values 4

5

Querying and Modifying Graphs Graphics tools: Row states: Axis specifications: 6

Saving JMP Scripts to a Data Table The JMP scripting language (JSL) can be used to reproduce results without performing the analysis using menus. Scripts can be saved to your data table, keeping a record of the analyses you have performed. JMP scripts are dynamic – the analysis is performed on the current data. Scripts attached to a data table enable you to efficiently share your analyses with others. 7

Scripts in the Table Panel 8

9 This demonstration illustrates the concepts discussed previously. Generate and Explore Graphs of Continuous Columns

10

Exercise This exercise reinforces the concepts discussed previously.

12

3.01 Quiz How could you display the data to more clearly see the relationship between Graduation Rate and 1991 Tuition for the two school types individually? 13

3.01 Quiz – Correct Answer How could you display the data to more clearly see the relationship between Graduation Rate and 1991 Tuition for the two school types individually? 14 Answers will vary.

15 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns 3.3 Exploratory Analysis Using Recursive Partitioning

Objectives Examine the distribution reports of nominal and ordinal columns. Explore relationships between nominal and ordinal columns with the mosaic plot. 16

Graphing Categorical Values 17

18 This demonstration illustrates the concepts discussed previously. Generate and Explore Graphs of Categorical Columns

19

Exercise This exercise reinforces the concepts discussed previously.

21

3.02 Quiz Which region has proportionately more public schools? 22

3.02 Quiz – Correct Answer Which region has proportionately more public schools? 23

24 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2 Examining Relationships Between Categorical Columns 3.3 Exploratory Analysis Using Recursive Partitioning

Objectives Define partitioning. Use the Partition platform in JMP. 25

Recursive Partitioning Partitioning refers to segmenting the data into subgroups that are as homogeneous as possible with respect to the dependent variable (Y). 26

Divide and Conquer 27 n = 200 $16.68 mean donation n = 116n = 84 INCOME < 5 yes no $25.23 mean donation $10.48 mean donation

28 This demonstration illustrates the concepts discussed previously. Recursive Partitioning

29

Exercise This exercise reinforces the concepts discussed previously.

31

3.03 Quiz On which predictor variable will JMP split first? How do you know? 32

3.03 Quiz – Correct Answer On which predictor variable will JMP split first? How do you know? 33 Type (in the left leaf) – the LogWorth and the Candidate SS values are the largest.