chapter 3: graphical data exploration
DESCRIPTION
3. Chapter 3: Graphical Data Exploration. 3. Chapter 3: Graphical Data Exploration. 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. - PowerPoint PPT PresentationTRANSCRIPT
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 3.1 Exploring Relationships Between Continuous ColumnsColumns
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
Graphing Continuous Values
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 QuizHow 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 AnswerHow 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 3.2 Examining Relationships Between Categorical ColumnsColumns
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 QuizWhich region has proportionately more public schools?
22
3.02 Quiz – Correct AnswerWhich 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 3.3 Exploratory Analysis Using Recursive PartitioningPartitioning
Objectives Define partitioning. Use the Partition platform in JMP.
25
Recursive PartitioningPartitioning 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 meandonation
n = 116 n = 84
INCOME < 5yes no
$25.23 meandonation
$10.48 meandonation
28
This demonstration illustrates the concepts discussed previously.
Recursive Partitioning
29
Exercise
This exercise reinforces the concepts discussed previously.
31
3.03 QuizOn which predictor variable will JMP split first? How do you know?
32
3.03 Quiz – Correct AnswerOn 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.