SAS(R) Stat Studio 3.11: User's Guide
- Release Notes
Introduction- What Is Stat Studio?
- Related Software and Documentation
- Exploratory Data Analysis
- How Many Observations Can You Analyze?
- Summary of Features
- Comparison with SAS/INSIGHT
- Typographical Conventions
- References
- Getting Started: Exploratory Data Analysis of Tropical Cyclones
- Opening the Data Set
- Creating a Bar Chart
- Creating a Histogram
- Creating a Box Plot
- Creating a Scatter Plot
- Modeling Variable Relationships
- References
- Creating and Editing Data
- The Data Table
- Context Menus
- Variable Properties
- Sorting Observations
- Observation Properties
- Selecting Observations
- Changing Marker Properties
- Changing Observation Labels
- Including and Excluding Observations
- Examining Data
- Saving Data
- Properties of Data Tables
- Keyboard Shortcuts in Data Tables
- Exploring Data in One Dimension
- Bar Charts
- Histograms
- Example
- Histogram Properties
- Histograms of Selected Variables
- Histogram Binning: Setting Tick Positions
- Interactive Histogram Binning
- Box Plots
- References
- Exploring Data in Two Dimensions
- Mosaic Plots
- Scatter Plots
- Line Plots
- Example: Multiple Y Variables
- Example: A Group Variable
- Line Plot Properties
- Line Plots of Selected Variables
- Polygon Plots
- Exploring Data in Three Dimensions
- Rotating Plots
- Example: A Rotating Scatter Plot
- Example: A Rotating Surface Plot
- Rotating Plot Properties
- Rotating Plots of Selected Variables
- Contour Plots
- Interacting with Plots
- Interaction Tools
- Resetting the Plot View
- Inserting Annotations
- Adjusting Graph Area Margins
- The Observation Inspector
- Copying Plots to the Windows Clipboard
- Keyboard Shortcuts in Plots
- General Plot Properties
- Context Areas
- Changing Marker Shapes
- Changing Marker Colors
- Displaying Only Selected Observations
- Labeling Observations
- Common Plot Properties
- Common Graph Area Properties
- Axis Properties
- Techniques for Exploring Data
- Subsetting Data
- Excluding Observations
- Ordering Categories of a Nominal Variable
- Local Selection Mode
- Workspace Explorer
- Copying Plots to the Windows Clipboard
- Plotting Subsets of Data
- A Simple Example
- Example 2: Setting Marker Attributes
- Techniques for Managing BY Group Plots
- BY Options Properties
- Distribution Analysis: Descriptive Statistics
- Distribution Analysis: Location and Scale Statistics
- Distribution Analysis: Distributional Modeling
- Example
- Specifying Multiple Density Curves
- Specifying the Distributional Modeling Analysis
- Analysis of Selected Variables
- References
- Distribution Analysis: Frequency Counts
- Distribution Analysis: Outlier Detection
- Data Smoothing: Loess
- Example
- Example: Comparing Smoothers
- Specifying the Loess Analysis
- Analysis of Selected Variables
- References
- Data Smoothing: Thin-Plate Spline
- Data Smoothing: Polynomial Regression
- Model Fitting: Linear Regression
- Example
- Transforming the Response
- Selecting a Variable Used to Label Observations
- Specifying the Mode
- Interpreting Linear Regression Plots
- Specifying the Linear Regression Analysis
- Analysis of Selected Variables
- References
- Model Fitting: Robust Regression
- Model Fitting: Logistic Regression
- Example
- Specifying the Logistic Regression Analysis
- The Variables Tab
- The Effects Tab
- The Method Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- Model Fitting: Generalized Linear Models
- Example 1: Linear Regression with Classification Variables
- Example 2: Poisson Regression
- Specifying the Generalized Linear Models Analysis
- The Variables Tab
- The Effects Tab
- The Method Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- References
- Multivariate Analysis: Correlation Analysis
- Multivariate Analysis: Principal Component Analysis
- Multivariate Analysis: Factor Analysis
- Example
- Specifying the Factor Analysis
- The Variables Tab
- The Method Tab
- The Rotation Tab
- The Plots Tab
- The Tables Tab
- The Output Variables Tab
- The Roles Tab
- Analysis of Selected Variables
- References
- Multivariate Analysis: Canonical Correlation Analysis
- Multivariate Analysis: Canonical Discriminant Analysis
- Multivariate Analysis: Discriminant Analysis
- Multivariate Analysis: Correspondence Analysis
- Variable Transformations
- Example: A Logarithmic Transformation
- Example: A Box-Cox Transformation
- Common Transformations
- Normalizing Transformations
- Variance Stabilizing Transformations
- Transformations for Proportion Variables
- Scaling and Translation Transformations
- Rank Transformations
- Lag Transformations
- Two-Variable Transformations
- Custom Transformations
- Applying Normalizing Transformations
- References
- Running Custom Analyses
- Configuring the Stat Studio Interface
- Stat Studio Window Types
- General Options
- Program Editor Options
- Output Options
- Runtime Options
- Server Options
- Windows Options
- Directory and Search Path Options
- The Personal Files Directory
- Sample Data Sets
- Air Data
- Baseball Data
- Business Data
- Caribbean Data
- Central America Data
- Climate Data
- Drug Data
- Fish Data
- GPA Data
- Hurricanes Data
- Iris Data
- Mining Data
- Miningx Data
- Neuralgia Data
- Patient Data
- PRDSALE Data
- Ship Data
- States48 Data
- References
- SAS/INSIGHT Features Not Available in Stat Studio
Index here
| Product | Release |
|---|---|
| SAS/IML | 9.2 |
| SAS/IML Studio | 3.11 |
- Type
- Usage and Reference
- Copyright Date
- February 2009
- Last Updated
- 28Feb2009
| Exploring Data in One Dimension |
Histograms
This section describes how to use a histogram to visualize the distribution of a continuous (interval) variable. A histogram is an estimate of the density of data. The range of the variable is divided into a certain number of subintervals, or bins. The height of the bar in each bin is proportional to the number of data points that have values in that bin. A histogram is determined not only by the bin width, but also by the choice of an anchor (or origin).
Example
Histogram Properties
Histograms of Selected Variables
Histogram Binning: Setting Tick Positions
Interactive Histogram Binning
Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
