SAS Viya. Kevin D. Smith

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Descriptive Statistics

       Histograms

       Percentiles

       Correlations

       Summarizing Categorical Variables

       Distinct Counts

       Frequency

       Top K

       Cross Tabulations

       Variable Transformation and Dimension Reduction

       Variable Binning

       Variable Imputation

       Conclusion

       Chapter 8: Modeling Continuous Variables

       Linear Regressions

       Extensions of Ordinary Linear Regression

       Generalized Linear Models

       Regression Trees

       Conclusion

       Chapter 9: Modeling Categorical Variables

       Logistic Regression

       Decision Trees

       Gradient Boosting, Forests, and Neural Networks

       Conclusion

       Chapter 10: Advanced Topics

       Binary vs. REST Interfaces

       The Binary Interface

       The REST Interface

       The Pros and Cons of Each Interface

       Result Processing Workflows

       The Easy Way

       Using Response and Result Callback Functions

       Handling Responses from Multiple Sessions Simultaneously

       Connecting to Existing Sessions

       Communicating Securely

       Conclusion

       Appendix A: A Crash Course in Python

       IPython and Jupyter

       Data Types and Collections

       Numeric Data Types

       Character Data Types

       Booleans

       Lists and Tuples

       Other Types

       Flow Control

       Conditional Code

       Looping

       Functions

       Classes and Objects

       Exceptions

       Context Managers

       Using the Pandas Package

       Data Structures

       Data Selection

       Creating Plots and Charts

       Plotting from Pandas DataFrame Methods

       Plotting DataFrames with Plotly and Cufflinks

       Creating Graphics with Matplotlib

      

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