Software for statistical analysis and data visualization.
Platforms Statgraphics Centurion Windows application with over 250 procedures. Newest release (17.2) includes an interface to R. Statgraphics Sigma Express Excel add-in providing access to many Six Sigma procedures. Statgraphics Stratus Cloud-based application, accessible using any web browser. Analyzes data on client machine or stored in the cloud.
Two Important Goals 1. Data visualization: Helping people understand the significance of data by placing it in a visual context. 2. Predictive analytics: Using current data to build statistical models that may be used to predict future events.
Outline Statgraphics Centurion 17.2 Data visualization: discovering patterns Predictive analytics: Interface to R Statgraphics Stratus Data analysis in the cloud Sneak peek New additions for Version 18
Statgraphics Centurion 17.2
New procedures for data visualization Version 17 Correlation matrix plot Bivariate density estimation Curve fitting 3D surface and mesh plots Dynamic bubble charts Deviation dashboard
Correlation Plot
Bivariate Density Estimation
Curve Fitting
3D Mesh Plot
Dynamic Bubble Charts
Deviation Dashboard
Predictive Analytics: Interface to R R is a language and environment for statistical computing and graphics. It is widely used by statisticians to develop new statistical methods. There are hundreds of libraries available for R which perform many types of analyses. R is free.
Why Interface to R? Gives users access to new techniques not yet included in Statgraphics. Lets statisticians code their own routines and access them from Statgraphics. Provides an interactive environment similar to the execute window in Statgraphics for DOS.
Some Simple R Commands
Features of Statgraphics/R Interface 1. Exchange data easily between Statgraphics and the R console. 2. Run R commands on data stored in the Statgraphics Databook. 3. Retrieve output from R and save it in the StatLog. 4. Save R scripts in StatFolios for reuse.
Example: Using X-13ARIMA-SEATS X-13ARIMA-SEATS is the current method for seasonally adjusting time series used by the U.S. Census Bureau. It has more options than the seasonal adjustment procedure currently in Statgraphics Centurion. We will use the R interface to load data into Statgraphics, pass it to R, seasonally adjust it, and retrieve the seasonally adjusted data.
Statgraphics: Exchange Data with R
Exchange Data
Run R Commands
Graphics Output in R
Retrieve Results
Saved in Datasheet B
Running Saved R Scripts
Good Reference
Statgraphics Stratus
Data Input
Analysis Options
Tables and Graphs
Results to Save
Output
Curve-Fitting Statlet
Session Logfiles
Statgraphics Centurion Version 18 New license manager (FlexLM) Expanded interface to R Equivalence testing Attribute capability Statlet Multivariate tolerance limits Multivariate normality tests Definitive screening designs 10 new procedures for data visualization
Equivalence Tests
Multivariate Tolerance Limits
Butterfly Plot Butterfly Plot Men Women 45% Trump 34% 21% Cruz 16% 15% Rubio 22% 6% Kasich 6% 2% Bush 5% 2% Carson 5%
Sunflower Plot for Big Data
Violin Plot
Heat Map Heat Map for Total Crime Rate Alaska Alabama Arkansas Arizona California Colorado Connecticut Delaware Florida Georgia Hawaii Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Massachusetts Maryland Maine Michigan Minnesota Missouri Mississippi Montana North Carolina North Dakota Nebraska New Hampshire New Jersey New Mexico Nevada New York Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Virginia Vermont District of Columbia W ashington W isconsin W est Virginia W yoming 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 0.0 2500.0 5000.0 7500.0 10000.0
Demographic Map Visualizer
Population Pyramid