This is another in my series of blog posts where I take a deep dive into converting R graphs into SAS graphs. Today we'll be working on pie charts. I know, I know ... you visualization 'purists' might be wagging your finger at me, and saying "pie charts are no good."
As mentioned in my article about Monte Carlo estimate of (one-dimensional) integrals, one of the advantages of Monte Carlo integration is that you can perform multivariate integrals on complicated regions. This article demonstrates how to use SAS to obtain a Monte Carlo estimate of a double integral over rectangular and
A previous article shows how to use Monte Carlo simulation to estimate a one-dimensional integral on a finite interval. A larger random sample will (on average) result in an estimate that is closer to the true value of the integral than a smaller sample. This article shows how you can
The time for experimenting with artificial intelligence (AI) is over. In a COVID-19 climate, it is important to be able to quickly scale up analytical models to industrial processes. SAS believes the solution can be found in democratizing AI. Most manufacturing businesses have large amounts of data at their disposal.
Numerical integration is important in many areas of applied mathematics and statistics. For one-dimensional integrals on the interval (a, b), SAS software provides two important tools for numerical integration: For common univariate probability distributions, you can use the CDF function to integrate the density, thus obtaining the probability that a
Interview mit Dr. Christian Rammer (ZEW). Er ist Projektleiter im Forschungsbereich Innovationsökonomik und Unternehmensdynamik.
These days I'm hearing from people who are feeling out of place. Of course they want a world without COVID-19 and for life to feel like it used to. But as others make future plans and celebrate the potential return to "normal", they are feeling hesitant or more uncomfortable than
Artificial intelligence (AI) is one of the most popular topics in the tech industry, along with IoT, cloud and blockchain, to mention just a few. Although it is a very promising technology, it is also connected with very high expectations, quite often beyond the capabilities that AI provides today. As
A previous article discusses how to interpret regression diagnostic plots that are produced by SAS regression procedures such as PROC REG. In that article, two of the plots indicate influential observations and outliers. Intuitively, an observation is influential if its presence changes the parameter estimates for the regression by "more
When you fit a regression model, it is useful to check diagnostic plots to assess the quality of the fit. SAS, like most statistical software, makes it easy to generate regression diagnostics plots. Most SAS regression procedures support the PLOTS= option, which you can use to generate a panel of
Machine Learning models are becoming widely used to formulate and describe processes’ key metrics across different industry fields. There is also an increasing need for the integration of these Machine Learning (ML) models with other Advanced Analytics methodologies, such as Optimization. Specifically, in the manufacturing industry, SAS explored state-of-the-art science
*This interview was recorded last summer, but the realities of the pandemic and alcohol use are still relevant today and so I am re-sharing this post. We continue to experience unique stressors, uncertainty, grief and isolation. This video provides specific steps you can try today to assess and alter behaviors
Artificial intelligence undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work and play in the near future. As always, with great power comes great responsibility. There are many benefits that AI solutions bring to the world. But poor design or
In 2020 alone, the global losses from natural disasters amounted to a staggering US$210 billion! This is just short of the 2020 GDP of Portugal, or a little more than twice the market cap of HSBC, Europe’s largest bank. The causes of these huge losses include drought-fuelled wildfires, severe floods
This article shows how to use PROC SGPLOT in SAS to create the scatter plot shown to the right. The scatter plot has the following features: The colors of markers are determined by the value of a third variable. The outline of each marker is the same color (such as
Contents 변화는 기회를 만든다! 2021년 주요 변화 동인 금융산업 Analytics 고도화를 위한 주요 Trends 변화는 기회를 만든다! 1968년 멕시코 올림픽 이전에 육상 높이뛰기는 ‘엎드려뛰기’나 ‘가위뛰기’가 일반적인 방식이었으며, 200cm 이상을 뛰어야 메달권에 들어갈 수 있었다. 하지만, 1963년 메드퍼드 고등학교 2학년에 재학 중이던 Dick Fosbury는 높이뛰기 선수 테스트에서 160cm를 넘는데 실패하였다. 사실
SAS Conversation Designer is available with every offering that also includes SAS Visual Analytics. Users can easily access Visual Text Analytics capabilities from SAS Conversation Designer with minimum additional configuration.
Linear programming (LP) and mixed integer linear programming (MILP) solvers are powerful tools. Many real-world business problems, including facility location, production planning, job scheduling, and vehicle routing, naturally lead to linear optimization models. Sometimes a model that is not quite linear can be transformed to an equivalent linear model to reduce
A Deep-Q Network (DQN) is a reinforcement learning technique that attempts to model the actions that perform best in each state in real-time.
As I sit and write this blog, the rain is coming down. The rain absorbs into the plants and Earth and supplies its liquid goodness to the aquifers in the ground promoting life above. Earth is a water planet and our bodies are 70% water. We started our beginnings in
Here is an interesting math question: How many reduced fractions in the interval (0, 1) have a denominator less than 100? The question is difficult is because of the word "reduced." If we only care about the total number of fractions in (0,1) whose denominator is less than 100, we
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bar charts ... And to give you a hint about what data I'll be using this time, here's a picture from a SAS
Learn why a data catalog is so valuable in helping you find and use big data at your business.
A SAS customer wanted to compute the cumulative distribution function (CDF) of the generalized gamma distribution. For any continuous distribution, the CDF is the integral of the probability density function (PDF), which usually has an explicit formula. Accordingly, he wanted to compute the CDF by using the QUAD function in
Please join us on Tuesday, March 16 for what should be an exciting discussion on the current challenges and emerging best practices in demand forecasting. I'll be moderating this very distinguished panel: Nicolas Vandeput - supply chain data scientist, specialized in demand forecasting and inventory optimization; author of the book
As an American child growing up on a military base in Germany, I learned many important life lessons. One of the most important was about language and communication. I realized at age 12 that, even though I could speak German, I thought in English -- and it led me to
We learned this week of the passing of one of the giants in our field, Tom Wallace. Tom was as gracious and fine a gentleman as you'll meet. Through his writing, teaching, and consulting work -- in frequent collaboration with Bob Stahl -- tens of thousands of industry practitioners have
Ein Gespräch mit Broetje-Automation: Dirk Eickhorst, Leiter Robotik.
Utilities all over the country are facing multiple disruptions, from climate change to distributed energy generation to a growing need to embrace digital transformation. These challenges are more pronounced for midsize public power utilities, which are community-owned, not-for-profit and often more vulnerable to economic challenges than investor-owned utilities. As new
Reinforcement learning can help banks optimise their collections strategies to cope with an explosion in COVID-19-related delinquencies.
