**Table of Contents (click to go directly to topic)**

### Datasets used in the workshop

In this workshop, we will use the "Big Class.jmp" dataset available in the "Help > Sample Data" directory in JMP:

- To open this dataset, go to
- Help>Sample Data>Examples for Teaching>Big Class

If you want to practice further with real data, the 2007-2008 National Health and Nutrition Examination Survey (NHANES) dataset is available. To download it, click NHANES_HCM757.jmp and choose to **Save** the dataset as NHANES_HCM757.jmp in a location or folder of your choice.

The "Help > Sample Data" directory in JMP contains several data tables from different domains, and some of these will also be used to illustrate examples.

### Getting Started

- Open JMP by double-clicking the desktop icon
- Read the "Tip of the day"
- JMP Starter and JMP Menus
- Set Preferences
- Open existing data files of several types (JMP, Excel, and other…)
- Open the JMP dataset "Big Class"

### JMP Help

- Help Menu
- Indexes: Statistics
- Books: JMP Introductory Guide and more…
- Sample Data
- The “
**?**” tool (Note: this feature does not work on Macs with the Snow Leopard operating system) - JMP User Community>JMP Blog

### Exploring the Data Table

- Table attributes: Rows, columns, the 4 window panels, move columns, edit column names, resize,
**Column Info** - Modeling Type
- Data Type
- Enter data in a new JMP dataset

### Sharing and Saving Your Work

- Copy and paste: Select graphs and sections of a report and copy paste into Word, PowerPoint, etc...
- Use Selection tool to select
- Then
**right-click>Copy**or**Edit>Copy** - In Word or Powerpoint (or other destination),
**Edit>Paste**or**Edit>Paste Special**>**Picture (Enhanced Metafile)** - Save your analysis in scripts for re-submission

### Data Transformations (recoding, value labels, value ordering, formulas)

Right click on column or variable name → Column Info

- Recoding Values
- Value Labels
- Re-ordering Values
- Use formulas to calculate new columns

### Analyzing Data

#### Step 1: Univariate Analysis: Distribution

Look at variables or data items (also called columns) individually and appraise and describe their validity.

- Analyze>Distributions
- How are the variables distributed? Are there outliers? Are the outliers invalid data points? Are there corrections that should and can be made?
- Click on bars in graphics.
- Right click on points for options to inspect them further.
- Use lasso tool to choose a group of points.
**Video 8:**Distribution platform

#### Step 2: Bivariate Analysis: Fit Y by X

Look at the data items or variables in relationship to each other.

- Analyze>Fit Y by X (This legend indicates on the lower left indicates the appropriate analysis based on the modeling type of the variables.)

- Look at the relationship between 2 continuous variables
- Look at the relationship between a continuous variables (Y) and a nominal variable (X)
- Look at the relationship between 2 nominal variables
- Look at the relationship between a nominal variable (Y) and a continuous variable (X)

#### Step 3: Multivariate Analysis: Fit model

**Analyze**>**Fit Model**

### Graph Menus

JMP Starter>**Graph**

**Graph Menu (top bar)**

### Types of JMP Graphs

#### Graph Builder

#### Bubble Plots

#### Overlay plots

#### Chart

#### Scatterplot matrix

** The example graphs were made using the “Lipid” data:Help>Sample Data>Medical studies>Lipid data

#### Advanced graphic editing

Edit>Layout menu for more advanced graphics editing

**Video 10:** Graph Builder; Overlay Plots; Charts

**Video 11:** Scatterplot Matrix

### Tables Menu (Subset, join, concatenate/append, stack, split, summarize/tabulate)

- Subset
- Join
- Stack
- Split
- Tabulate

**Video 13:** Tabulate

### SAS Integration

- SAS-JMP Comparison
- See Column info in “NHANES_HCM757” dataset. Note SAS name and SAS label attributes