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Advanced Analytics | Data Visualization | Programming Tips

Get a quick summary of your data using this task.

Angela HallMarch 7, 2012 0

Use SAS Enterprise Guide to quickly understand a new data set

During IFSUG yesterday, Sunil Gupta gave attendees to his presentation a special homework assignment. Look into the SAS Enterprise Guide task 'Characterize Data'. Sunil suggested that this was a simple approach to quickly getting a summary of all the variables within your data table. Of course, some programmers will use

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallMarch 6, 2012 0

A poor man's approach to fuzzy data matching

Today at IFSUG, Chuck Patridge presented a wonderful talk about how to complete fuzzy matching using BASE SAS tools. Chuck has been programming SAS since 1979 and has been tasked multiple times with coming up with in-house solutions to address business needs without the software costs that are typically associated

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallMarch 6, 2012 0

What does it take to be a BI Dashboard Reporter?

At the IFSUG conference this week in Cary, NC I met Stephen Harris from Bank of America. Stephen gave the talk "Manage Your Partners Before You Manage Your Dashboards: Designing Great Dashboards" covering the business aspects of successfully implementing dashboards. When you back up for a second to consider the

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Data Visualization

Pratik PhadkeMarch 5, 2012 0

Proportionally sized bubble plots

Bubble plots are often used to display social and economic data as Gapminder effectively does. With the addition of the BUBBLEPLOT statement to SAS 9.3, it is now possible to create bubble plots in SAS with a few lines of code: proc template; define statgraph bplot; begingraph; entrytitle 'Bubble Plot

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Data Visualization

Dan HeathMarch 1, 2012 0

Roses are red, violets are blue... (part 2)

In the previous post, “Roses are red, violets are blue…”, I discussed the general problem of getting style attributes to line up with specific group values and some ways to overcome the problem. In this installment, I want to elaborate on the attribute map functionality in the Graph Template Language

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Data Visualization

Dan HeathFebruary 27, 2012 0

Roses are red, violets are blue...

This classic start to a romantic poem assumes that the correct colors are always assigned to the correct flowers; but, for those who create graphs for reports, consistent color assignment can be more of a challenge than an assumption. This challenge is particularly true for the display of group values.

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Advanced Analytics | Data Visualization | Programming Tips

Celebrating #SASBIBook

Angela HallFebruary 24, 2012 0

Celebrate your own free copy of my book "Building Business Intelligence Using SAS"

Well, we can't really afford to give everyone a free copy of the Building Business Intelligence Using SAS: Content Development Examples. But copies will be presented to two randomly selected participants of today's AllAnalytics.com eChat! Then you can be a part of the celebrations! Yes, that's right! People have been

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Data Visualization

Sanjay MatangeFebruary 23, 2012 0

Dashboard graphs revisited

Here is the promised follow up on the Dashboard graph. In the previous article, I posted the code to create a panel of bullet KPIs displaying three different metrics. For each KPI, I used 5 columns of data which resulted in a wide and inconvenient structure. A more convenient data structure is

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallFebruary 22, 2012 0

To be or not to be, testing your cube's existence

Unlike BASE SAS tables, OLAP cubes must exist in within the metadata in order to access from any of the OLAP Viewers. In addition to having some metadata OLAP cubes have a physical file structure presence (at least for MOLAP/HOLAP because it's a different story for ROLAP). When you refresh

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallFebruary 20, 2012 0

Skipping through OLAP to find your value

One of the cool things with SAS OLAP Viewer in Add-in to Microsoft Office is your ability to skip right into a specific value. Out of the box, viewing OLAP cubes can lead you to believe that in order to view a specific value you need to click-thru a hierarchy

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Data Visualization

Sanjay MatangeFebruary 20, 2012 0

Dashboard graphs

In this blog we have been discussing graphs useful for analysis of data for many domains such as clinical research, forecasting and more. SG Procedures and GTL are particularly suited for these use cases. So, when I came upon a dashboard image from Steven Few's Visual Business Intelligence blog, showing the

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Data Visualization

Sanjay MatangeFebruary 16, 2012 0

Distribution of Maximum LFT by Treatment

The graph showing the distribution of the maximum liver function test values by treatment for all participants in a study is commonly used for the analysis of safety data in clinical trials. The data is often structured in multiple columns (one per treatment) as below on the left, or grouped by

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Data Visualization

Sanjay MatangeFebruary 13, 2012 0

Beer, diapers and heat map

The parable of beer and diapers is often related when teaching data mining techniques. Whether fact or fiction, a Heat Map is useful to view the claimed associations. A co-worker recently enquired about possible ways to display associations or dependency between variables. One option is to show the dependency as a node

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallFebruary 9, 2012 0

Best practices for refreshing production OLAP cubes

Unlike prior versions of SAS OLAP technology, 9.2 provides more options for maintaining and refreshing OLAP cubes. With this comes some discussion about what each one does alone, and how pairing these techniques really provides SAS OLAP Server Administrators and cube developers a cornucopia of OLAP options. PROC OLAPOPERATE Remember

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Data Visualization

Sanjay MatangeFebruary 9, 2012 0

SG Procedures Book Samples: Adverse Event Timeline

Here is the second installment of sample graphs from the SG Procedures book - The Adverse Event Timeline. This is a graph commonly used in patient profiles for clinical trials where we track the progress of a patient through a hospitalization event, tracking the dates and severity of the adverse events. The

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallFebruary 7, 2012 0

The best part of writing a book is learning something new

Many of the chapters in my new book Building Business Intelligence Using SAS: Content Development Examples were straightforward to write but one in particular was the beast. Neither Tricia nor I wanted to tackle the SAS BI Dashboard chapter. Just chalk it up to no major work experience with this

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Data Visualization

Sanjay MatangeFebruary 6, 2012 0

Comparative density plots

Recently a user posted a question on the SAS/GRAPH and ODS Graphics Communities page on how to plot the normal density curves for two classification levels in the same graph. We have often seen examples of a distribution plot of one variable using a histogram with normal and kernel density curves. Here is a simple example: Code Snippet:

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Data Visualization

Sanjay MatangeFebruary 1, 2012 0

SG Procedures Book Samples: Forest Plot

In December of last year, the book "Statistical Graphics Procedures by Example" co-authored by Dan Heath and I was published. On the back cover, it proclaims "Free Code on the Web". Now, who can resist such an offer? Since most of the examples in the book have very short syntax,

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallFebruary 1, 2012 0

Complete your order using preview results in SAS Add-in to MS Office

Recently I've made several online purchases buying eBooks for the new Amazon Kindle my daughter received as a holiday gift. The online checkout process is very straight-forward, especially with the 'Continue' buttons that change to a 'Place your order' button on the final step. Did you know that the same

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Data Visualization

Dan HeathJanuary 30, 2012 0

A (tool)tip for band plots

Recently, I had a discussion with a user concerning the volume of imagemap data generated for an interactive, web-based visual contain a large number of graphs. The large amount of imagemap data was causing problems with the current version of their web browser. The graphs consisted of either bar charts

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallJanuary 27, 2012 0

SAS BI Dashboard: It's all in a name

When developing content in SAS BI Dashboard, such as indicators, ranges, and dashboards, knowing how to name them is pretty important. If changes are required later (for instance to improve the administrators capability of partial promoting content) much more work is required to ensure the links between the objects isn't

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Data Visualization

Sanjay MatangeJanuary 26, 2012 0

Nested graphs

Here are a couple of bar charts showing the city mileage of cars by Type and Origin using the SGPLOT procedure from the sashelp.cars dataset. title 'Vehicle Mileage by Type'; proc sgplot data=cars; format mpg_city 4.1; vbar type / response=mpg_city stat=mean datalabel; xaxis display=(nolabel); run; title 'Counts by Country'; proc sgplot

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Advanced Analytics | Data Visualization | Programming Tips

Angela HallJanuary 25, 2012 0

New job, same technology, huge customer value

As many of you have already noticed, my LinkedIn profile and the blog profile blurb have changed. I took on an exciting new job in the SAS Solutions OnDemand team. The official title is Software Development Manager, but what I really do is lead a team of fraud solution architects.

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Data Visualization

Sanjay MatangeJanuary 23, 2012 0

Timeseries plots with regimes

Recently we discussed the features of the Shiller Graph, showing long term housing values in the USA. To understand the features necesary in the SGPLOT procedure to create such graph easily, it was useful to see how far we can go using GTL as released with SAS 9.2(M3). I got the data Shiller Housing index data

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Data Visualization

Dan HeathJanuary 19, 2012 0

They go where you put them

An issue that SAS/GRAPH users have wrestled with in the past has been how to put tick marks at irregular intervals on their axes. In PROC GPLOT, if you specify irregular intervals using the ORDER option on the AXIS statement, the procedure’s axis kicks into a “discrete” mode, where the

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Data Visualization

Sanjay MatangeJanuary 16, 2012 0

The more the merrier

Often it is useful to view multiple responses by a common independent variable all in the same plot. SGPLOT procedure and GTL support the ability to view two responses, one each on the Y and Y2 axes by one independent variable (X) in one graph. Yes, you can also have X

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Data Visualization

Sanjay MatangeJanuary 12, 2012 0

Custom confidence intervals

Recently a user posted a question on the SAS/GRAPH and ODS Graphics Forum about drawing a plot with custom confidence intervals . The user has a simple data set with category, response (mean) and custom lower and upper confidence intervals. The data looks like this: Robert Allison provided the code (proc gplot +

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Data Visualization

Sanjay MatangeJanuary 9, 2012 0

In good company

A recent post on the SAS website shows the SAS Annual Revenue History. It would be interesting to see how we could create such a graph using SG procedures, and how we could add more information and interest in the presentation. So, I started with the basic informaiton on the annual revenues provided,

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Data Visualization

Sanjay MatangeJanuary 5, 2012 0

Panel graph with axis-aligned statistics

Following up on the theme of graphs commonly used in many applications, here is another one that displays a horizontal bar chart with multiple data columns aligned with the bars. Recently at WUSS, a user stopped by asking how to create just such a graph. While this user wanted something more complex

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Data Visualization

Sanjay MatangeJanuary 2, 2012 0

Simply useful

Let us ring in the new year with something simple and useful. A recent question by a user over the holidays motivated this article on what is likely a commonly used graph. We want to compare the preformance of two categories along with a third measure. This could be something like "How

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