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INTERNATIONAL BUSINESS COMMUNICATION STANDARDS is an organisation defining international standards in business communication and presenting proposals relating to designing easy-to-understand business reports and presentations.
Hopefully if you're viewing the eclipse today, you'll be using one of the safe methods that won't harm your eyes! ... But if you're somewhat of a trickster, here's an optical illusion you can send your friends after the eclipse, that might make them wonder (just for a second) if
Motivated by Ted Conway's post on creating a sequence of graphs showing the Solar Eclipse, I thought it would be fun to extend his code and create a gif animation. I used a frame count to 81, and used the printerpath feature to create the animation using SGPLOT with BY
Long category values occur frequently in real world use cases. This can happen with graphs for analysis of clinical research data, and also for graphs showing survey data where the question asked may be long (even a paragraph). Managing such long categories on the x or y axis is always
Robots - everyone has probably been fascinated by the idea of robots at one time or another. From the early science fiction robots (such as Klaatu's robot Gort) to the mid-1980s movie robots (like Johnny 5), they have been portrayed in many different ways in fiction. These days, with the
Visualizing the correlations between variables often provides insight into the relationships between variables. I've previously written about how to use a heat map to visualize a correlation matrix in SAS/IML, and Chris Hemedinger showed how to use Base SAS to visualize correlations between variables. Recently a SAS programmer asked how
A few days ago, I posted an article on displaying first N bars from a data set. This is useful when the data is sorted by descending response, and only the first few values are significant. There were a few interesting comments, including one that was regarding the treatment of
If you know me, you probably know that I spend a lot of time on the water. I like speed paddling (dragon boat, outrigger canoe, surfski, and racing SUP), and I also have a big pontoon boat at Jordan Lake where I try to go fishing at least once a
PROC SGPLOT displays titles inside the graph. If you want to display a title inside the graph and a different title outside the graph, you can use the ODS LAYOUT or the GTL. The ODS LAYOUT gives you precise control over your output and enables you to display multiple graphs and tables in each page.
With North Korea's growing missile capabilities in the news lately, I thought it would be interesting to create a map showing how far (or close) they are from other parts of the world. I first did a few searches on the Web, to see what maps are already out there.
Often we have a graph with many bars (or categories) on the x or y axis. These categories may be sorted by descending response such as frequency of a % value. An example with simulated data is shown below. title 'Actual Values by Name'; proc sgplot data=bars2 noborder; vbar name /
With all the recent talk about some people wanting to move from the US to Canada, I got to wondering how cold, and how far north Canada is. And after a few Google searches, I was surprised to learn that 27 US states are actually farther north than the southernmost point
SG annotation is a powerful technique for adding text, lines, arrows, shapes, and images to graphs. This post provides a macro that can help you when you make a mistake in writing the annotations.
One key aspect of graphs used in the statistical or clinical research domains is the need to display numerical or textual information aligned with the data in the plot. Examples of such graphs are the Survival Plot or the Forest Plot. These graphs use the AXISTABLE statements available with SAS
In the spirit of my Forecasting Sharknadoes blog post, I now bring you Sunsquatch! In this blog post, I create a map that helps you find a location where you can see the total eclipse *and* have a chance of seeing Bigfoot (aka, Sasquatch)! But before we get into the nitty-gritty
In this post, I will review some of graphs from previous posts while concentrating on just the axes, grid lines, and reference lines. They might not be the most exciting parts of a graph, but there are multiple options that when properly used can turn a good graph into a great graph.
There will be a total solar eclipse on August 21, 2017, and the umbra (total shadow) will pass right across the United States! As a data guy, a map guy, and an astronomy fan, this is an opportunity I just couldn't pass up! Follow along as I apply my computer skills
A lot of tourists flock to North Carolina. We have beaches, wreck diving, and lighthouses. We have the Great Smoky Mountains with whitewater kayaking, colorful fall leaves, and snow skiing. We have hot air balloon festivals & Scottish highland games. Oh, and some of the best barbecue you've ever tasted! But
Waterfall plots have gained in popularity as a means to visualize the change in tumor size for subjects in a study. The graph displays the reduction in tumor size in ascending order with the subjects with the most reduction on the right. Each subject is represented by a bar classified by
I recently saw an interesting PEW study showing the percent of each state's revenue that came from federal funds. They had some pretty nice graphs ... but just like jell-o, there's always room for more graphs, eh! Let's start with the map. Their map had an informative title, a reasonable gradient
When displaying maps, geometric shapes (such as circles), or results of certain analyses, it is important to equate axes. This post illustrates options in PROC SGPLOT that enable you to equate axes.
In a previous blog, I describe how there are a few new features related to report and page prompts in SAS Visual Analytics 8.1; namely the ability to configure cascading prompts in VA 8.1: Cascading Prompts as Report and Page Prompts. In this blog, I will cover how to configure prompts, either
When it comes to economic activity, a handful of the largest metropolitan areas in the US account for lion's share. In 2013, the top 23 Metropolitan Statistical Areas (MSAs) accounted for 50% of the total US Gross Domestic Product (GDP). I recently came across a map created by Alexandr Trubetskoy
4차 산업혁명은 전 세계 산업 구조는 물론 교육 환경에도 큰 영향을 미치고 있습니다. 지난 몇 년간 빅데이터, 사물인터넷(IoT), 인공지능(AI) 등 산업혁명을 이끄는 기술을 다루기 위해 필수적인 STEM(과학, 기술, 공학, 수학) 분야 교육에 대한 수요과 공급이 증가했는데요. 이처럼 STEM 교육에 대한 관심이 높아지면서 드러난 명암이 있습니다. 전 세계적으로 STEM 분야의 여성 비율은
Recently, while reading up on Wilkinson and Cleveland Dot plots, I saw this excellent article by Xan Gregg on the topic. I also saw some interesting examples of Lollipop Charts, kind of a dot plot with statistics along with a drop line, maybe more suitable for sparse data. I thought
Employment - that's been a hot topic here in the US lately. Many of the manufacturing jobs we had in past decades are gone now, and it would be great if there was a crystal ball to predict which jobs might be at risk of disappearing in the future. The
A lot of my friends seem to be getting married these days. Which got me thinking about wedding parties. Which then got me wondering what songs DJs do/don't play at weddings these days. And what was the outcome of my meandering thoughts ... a fun & interesting graph, of course! It
My previous blog post focused on a graph, showing the % of women earning STEM degrees in various fields. While that graph was was designed to answer a very specific question, let's now look at the data from a broader perspective. Let's look at the total number of STEM degrees
An important problem in machine learning is the "classification problem." In this supervised learning problem, you build a statistical model that predicts a set of categorical outcomes (responses) based on a set of input features (explanatory variables). You do this by training the model on data for which the outcomes
Wo können Sie Ihr Können mit dem von anderen Experten vergleichen? Und in der Data Science Community über den Tellerrand blicken? Oder einfach ungezwungen programmieren - wie zu Studienzeiten - weil es Spaß macht? Zum Beispiel bei einem Hackathon. Mit Fabian Buchert, selbst Data Scientist, sprach ich über seine Erfahrungen beim
