Practical SAS Visual Analytics

Explore the SAS visual analytics environment, select data sources, create charts, and use analytics and machine learning tools like forecasting, network analysis, random forest, and neural networks.

Create your first chart in SAS Visual Analytics by loading the cars data and building a bar chart to explore category versus numerical measures, such as horsepower and origin.

Explore pie charts in SAS Visual Analytics to visualize categorical data against a selected variable, compare frequencies, and customize layout, style, donut holes, labels, and orientation.

Create and interpret histograms in SAS Visual Analytics to show the distribution of numerical data. Drag a measure, define equal-size bins, and adjust color and legend to compare frequencies.

Explore step plots, a graphical representation using vertical and horizontal lines to show data that changes at intervals or remains constant, with axes allocation and filtering options for visual analytics.

Explore heat maps in visual analytics, a color-coded table chart that highlights significant data points and supports filtering by origin or invoice to compare data.

Create a correlation matrix to visualize relationships among numerical variables. Interpret the strength of these relationships, see the matrix's symmetric layout, and adjust filters to compare subsets.

Create word clouds in SAS visual analytics, using frequency or other measures to size words from a dataset. Analyze vehicle brands by frequency, horsepower, and miles per gallon.

Explore time series in SAS Visual Analytics by plotting data against a time variable, comparing retail sales trends, and building dual-axis and comparative charts with filters.

Learn to create gauge charts in SAS Visual Analytics, using drag-and-drop to visualize a measure against a goal with speedometer-style visuals for quick performance.

Learn to create line charts in practical SAS Visual Analytics to compare categories by numerical measures. Use dual axis lines to compare horsepower across car types and origins.

Create and customize a box plot in SAS visual analytics to visualize numerical data, display min, max, and quartiles, and manage outliers with filters, colors, and orientation.

Learn how to create a butterfly chart in SAS Visual Analytics to compare two numerical measures across categories, using drag-and-drop, filters, bounds, layout options, and color customization.

Explore time series forecasting by visualizing and predicting future observations with visual analytics, using the time axis and numerical variables like energy consumption or retail sales to estimate trends.

Classify data with SAS Visual Analytics, comparing models such as logistic regression and decision trees. Use confusion matrices and ROC to select the best model for predicting origin.