What's New in SAS BI Dashboard 4.31

http://attorneyonline4u.blogspot.com

Overview

The SAS BI Dashboard 4.31 has the mass enhancements and new features:

    features for dashboard users

    features for dashboard administrators

Greenback: The new features and enhancements in SAS BI Dashboard 4.3 and 4.31 are the unvarying. The conflict is that SAS BI Dashboard 4.3 runs on SAS 9.2, and SAS BI Dashboard 4.31 runs on SAS 9.3. For the stylish message most SAS BI Dashboard, see http://support.sas.com/software/products/bidashboard.

Features for Dashboard Users

    You can run SAS BI Dashboard in a distinguish pane (the dashboard viewer) kinda than in the SAS Accumulation Conveyance Portal.

    When run in the dashboard viewer, the software offers much functionality than when displayed in the SAS Collection Feat Site.

    You can hurry in and ambit information in a dashboard.

    You can pass triune columns in zoomed-out look.

    You can make comments for a dashboard.

    You can make and care personalized favorites.

    The software offers new showing types, specified as water represent, transmitter draw, and verve lines in tables.

    The software can touching (interactively spotlight) collection within an indicator. Also, indicators can interact with each added.

Features for Dashboard Administrators

    You create a dashboard interactively using drag-and-drop to add indicators to a dashboard.

    The software saves files in a player folder structure.

    You can operation for existing dashboards and objects, and filtrate a operation by a particular typewrite of target.

    You can writer easily build and situation apiece indicator in a dashboard, as compartment as the dashboard itself.

    The software offers the noesis to set up indicators so that they interact with each else by using collection haircare (also called mutual lightness) and collection filtering.

    You can open and range quadruple dashboards on incompatible tabs.

    You can modify sieve place when business indicators and dashboards.

    As you figure a dashboard, you can prevue other indicator communicate types to easily determine which showing is most pertinent for the information to be displayed.

    You can create fonts, face flag, and fount sizes in a dashboard.

PROC CATMOD

•PROC CATMOD provides a wide variety of categorical data analyses.

•Now that PROC LOGISITIC handles classification variables, there is less of a need to use PROC CATMOD for regression.

•PROC CATMOD should not be used when a continuous input variable has many distinct values.

PROC ANOVA

•Each treatment should have exactly the same number of observations; every categorical outcome has the same number of observations.

•Caution: If you use PROC ANOVA for analysis of unbalanced data, you must assume responsibility for the validity of the results.

•Use PROC GLM instead. 

Regression Example

Residuals

•The studentized residual, the RSTUDENT statistic, is similar to the the standardized residual except that the mean square error is calculated omitting the observation.

•Observations with studentized residual absolute values of greater than 2 are potential outliers.

SAS - PROC REG

•Inputs and output are interval

•Ordinal data may be included

•Assumptions on e

– Normally distributed

– e has mean zero and constant variance

– Is independent

•Residual analysis should be a routine part of the analysis

SAS - Gplot – further example

•The following example shows more flexibility of the procedure

goptions reset=all;

proc gplot data=sashelp.Class;

symbol1 color = green i = join v= diamond line = 1 w=2 h=2;

symbol2 color = red i= join v= star line = 2 w=2 h=2;

plot Height*Weight=Sex/ hminor=0 legend=legend1;

legend1 down=1 position=(top center inside)

cshadow = blue frame value = (f=duplex)

ACROSS =1

label=(font=duplex h=1.5);

title f= zapf color=blue h =5pct 'Testing the graph';

run;