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Rick Wicklin 0
How to lie with a simulation

In my article on Buffon's needle experiment, I showed a graph that converges fairly nicely and regularly to the value π, which is the value that the simulation is trying to estimate. This graph is, indeed, a typical graph, as you can verify by running the simulation yourself. However, notice

Mike Gilliland 0
Myers-Briggs Type Indicator for forecasters

Have you taken the Myers-Briggs Type Indicator (MBTI) assessment?  It is a psychological test wherefrom you are classified on Extraversion vs. Introversion, Sensing vs. Intuition, Thinking vs. Feeling, and Judging vs. Perceiving.  I, along with roughly 15% of the population, come out an ISTJ or "Guardian Inspector" (the single largest

Data Visualization
Sanjay Matange 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,

Rick Wicklin 0
Simulation of Buffon's needle in SAS

Buffon's needle experiment for estimating π is a classical example of using an experiment (or a simulation) to estimate a probability. This example is presented in many books on statistical simulation and is famous enough that Brian Ripley in his book Stochastic Simulation states that the problem is "well known

Data Visualization
Sanjay Matange 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

Rick Wicklin 0
New 2012 resolutions for my blog

Hello, 2012! It's a New Year and I'm flushed with ideas for new blog articles. (You can also read about The DO Loop's most popular posts of 2011.) The fundamental purpose of my blog is to present tips and techniques for writing efficient statistical programs in SAS. I pledge to

Shelly Goodin 0
An unforgettable customer interaction

Bad customer service experiences burn into our brains, creating permanent recall. And although we rightfully expect good customer service across the board, truly exceptional customer care is also unforgettable. This month, I featured an interview with SAS Publishing sales representative Sharon Brandon in the new issue of SAS Publishing News.

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The graphs you could create: if only you knew how

You’ve got your raw data visualized, you need a graph that shows the results of a custom analysis, you have a mental image of the graph you want to create, but…you don’t know the procedure needed to create what you want. Sanjay Matange and Dan Heath have written a book

Data Visualization
Sanjay Matange 0
Map overlays

In Simple maps can go a long way, we discussed some techniques to create simple outline maps from map datasets in the MAPS library using GTL.  Now, let us take this a step further to do something more useful with this feature. For some graphs, the map information is an essential part of the

Mike Gilliland 0
My Offering: Forecast Accuracy Objectives for 2012

Managing expectations for forecast accuracy is very important, as often those expectations are extreme after management invests in a new system. Software vendors have also been known to make overly (choose one: optimistic? sanguine? idyllic?) accuracy claims as part of their sales pitch. Of course, there is no arbitrary level of accuracy

Rick Wicklin 0
A SAS Christmas tree

A few colleagues and I were exchanging short snippets of SAS code that create Christmas trees and other holiday items by using the SAS DATA step to arrange ASCII characters. For example, the following DATA step (contributed by Udo Sglavo) creates a Christmas tree with ornaments and lights: data _null_;

Chris Hemedinger 0
What's the difference between 0 and -0?

My daughter's math lessons this year have included the concept of negative numbers (that is, numbers that are less than zero, not numbers that have a bad attitude). She has used number lines such as this one to help her while she completes her homework: Notice that in this number

Chris Hemedinger 0
Too many pies can be hard to digest

On his SAS and R blog, Ken K. recently posted an example of a visualization technique called "small multiples". In this exercise, Ken shows the programming technique for replicating a particular series of pie charts in R as well as in SAS. It's a useful exercise to learn from, but

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