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

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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

Transcript of 1 Chapter 3: Graphical Data Exploration 3.1 Exploring Relationships Between Continuous Columns 3.2...

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

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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

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Chapter 3: Graphical Data Exploration

3.1 Exploring Relationships Between Continuous 3.1 Exploring Relationships Between Continuous ColumnsColumns

3.2 Examining Relationships Between Categorical Columns

3.3 Exploratory Analysis Using Recursive Partitioning

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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.

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Graphing Continuous Values

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Graphing Continuous Values

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Querying and Modifying Graphs

Graphics tools:

Row states:

Axis specifications:

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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.

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Scripts in the Table Panel

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This demonstration illustrates the concepts discussed previously.

Generate and Explore Graphs of Continuous Columns

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Exercise

This exercise reinforces the concepts discussed previously.

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

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

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Answers will vary.

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Chapter 3: Graphical Data Exploration

3.1 Exploring Relationships Between Continuous Columns

3.2 Examining Relationships Between Categorical 3.2 Examining Relationships Between Categorical ColumnsColumns

3.3 Exploratory Analysis Using Recursive Partitioning

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Objectives Examine the distribution reports of nominal and ordinal

columns. Explore relationships between nominal and ordinal

columns with the mosaic plot.

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Graphing Categorical Values

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This demonstration illustrates the concepts discussed previously.

Generate and Explore Graphs of Categorical Columns

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Exercise

This exercise reinforces the concepts discussed previously.

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3.02 QuizWhich region has proportionately more public schools?

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3.02 Quiz – Correct AnswerWhich region has proportionately more public schools?

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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 3.3 Exploratory Analysis Using Recursive PartitioningPartitioning

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Objectives Define partitioning. Use the Partition platform in JMP.

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

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Divide and Conquer

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n = 200

$16.68 meandonation

n = 116 n = 84

INCOME < 5yes no

$25.23 meandonation

$10.48 meandonation

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This demonstration illustrates the concepts discussed previously.

Recursive Partitioning

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Exercise

This exercise reinforces the concepts discussed previously.

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3.03 QuizOn which predictor variable will JMP split first? How do you know?

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3.03 Quiz – Correct AnswerOn which predictor variable will JMP split first? How do you know?

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Type (in the left leaf) – the LogWorth and the Candidate SS values are the largest.