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SAS supports many ways to compute the rank of a numeric variable and to handle tied values. However, sometimes I need to rank the values in a character categorical variable. For example, the values {"Male", "Female", "Male"} have ranks {2, 1, 2} because, in alphabetical order, "Female" is the first-ranked
‘SAS 이노베이트 2023’에서 최신 AI, 클라우드 분석 기술 및 사례 발표 세계적인 분석 선두 기업 SAS가 5월 8일부터 10일까지(미국 현지 시간) 미국 플로리다주 올랜도에서 ‘SAS 이노베이트 2023(SAS Innovate 2023)’ 행사를 개최했습니다. ‘SAS 이노베이트’는 전 세계 산업별 전문가와 오피니언 리더들이 참석하는 SAS의 연례 비즈니스 컨퍼런스입니다. 이번 행사에서는 SAS Viya 제품의 놀라운
"For those not knee-deep in the ModelOps process, the process may seem simple," says Ankit Sinha, Director of Product Management at Experian: "You build the model, deploy the model and reap the benefits." But the process starts to become very complex when you're using multiple database systems and data sources
Os desafios que bancos enfrentam para proteger os bens de seus clientes e garantir sua confiança só aumentam à medida que crimes financeiros se tornam cada vez mais sofisticados. Para lidar com esta crescente complexidade, organizações têm promovido a convergência das áreas que lidam com a prevenção dos principais tipos
SAS inventors came together on April 24 at The Umstead Hotel to celebrate something completely unique: ideas. Ideas that became patents. 54 of them, to be exact. During his remarks, CTO Bryan Harris dialed in on just how important new ideas are in our current environment. “When you think about
The pandemic caused public health agencies and life sciences companies to scramble to find effective treatments. Exploring the efficacy of existing drugs to treat COVID, an example of what's known as drug repurposing, was an intense focus for Qais Hatim, a Data Scientist at the US Food and Drug Administration
A previous article defines the silhouette statistic (Rousseeuw, 1987) and shows how to use it to identify observations in a cluster analysis that are potentially misclassified. The article provides many graphs, including the silhouette plot, which is a bar chart or histogram that displays the distribution of the silhouette statistic
"Demand planning is a team sport," says Davis Wu, Global Lead of Demand Planning and Analytics at Nestlé S.A. The team at Nestlé includes demand planners, demand analysts and data scientists, who all work together to ensure that Nestlé products remain in stock. Many demand analysts can be seen as
Empirical Mode Decomposition (EMD) is a powerful time-frequency analysis technique that allows for the decomposition of a non-stationary and non-linear signal into a series of intrinsic mode functions (IMFs). The method was first introduced by Huang et al. in 1998 and has since been widely used in various fields, such as signal processing, image analysis, and biomedical engineering.
A new report from the Intergovernmental Panel on Climate Change (IPCC) highlights the pressing need for prompt and resolute action across industries to tackle climate change. The report emphasizes the importance of prioritizing equity, social justice, inclusion and just transition processes to enable ambitious climate mitigation actions and climate-resilient development.
En el ámbito de la seguridad, la capacidad de investigación es esencial. Sin embargo, en un mundo cada vez más digital, puede resultar difícil mantenerse al día con las últimas herramientas y técnicas para realizar investigaciones de manera eficiente y efectiva. En este post, exploraremos las mejores prácticas y beneficios
The reverberations of SVB’s collapse continue to be felt in the banking industry. Markets remain jittery and the negative news headlines keep coming. First Republic Bank had its credit rating downgraded into junk territory by S&P Global, causing its share price to plummet by 47 percent before rallying. On the
A customer's initial onboarding journey is often the most interaction they will ever have with a company. This series of touchpoints provide the applicant with their first insight into what being a customer will be like. Unfortunately, disjointed and unconnected processes often create gaps for customers to fall through or
Mental Health Month is an important time to honor and raise awareness around mental illness and mental wellness. Correcting and combating stigma and discrimination, including with data, is one of the month’s major goals. It’s hard to talk about mental health without also addressing substance use disorders (including opioids), homelessness
Assigning observations into clusters can be challenging. One challenge is deciding how many clusters are in the data. Another is identifying which observations are potentially misclassified because they are on the boundary between two different clusters. Ralph Abbey's 2019 paper ("How to Evaluate Different Clustering Results") is a good way