Tag: SAS Visual Analytics

Programming Tips
Nancy Rausch 0
A tip for moving SAS Visual Analytics reports in SAS Viya 4 between SAS Viya environments

In SAS Viya 4 you can create Reports in SAS Visual Analytics that you may want to move around between machines. What if you want copy a report for example from a development environment folder to a production environment folder? You may want to work on the report in one system before putting it onto a final system and making it generally available. Or you may want to have a backup copy saved for recovery purposes. This blog post provides an updated description of how to easily save off SAS Visual Analytics report content to a file and easily move it between machines.

Analytics | Programming Tips
Jongman Jeong 0
파라미터(Parameter)란 무엇인가? – 시리즈 ①

SAS Visual Anaytics(이하, VA)를 사용할 때, 리포트의 형태를 고정하고 변수만 변경하면서 그래프 및 값들이 바뀌는 결과를 확인할 수 있으면 더 효율적이지 않을까 생각해 본 적이 있으신가요? VA에서 파라미터를 활용하면 가능합니다. 파라미터의 활용법을 다루기 전에 전반적인 이해를 돕고자 파라미터가 무엇인지, 어떻게 사용하는 것인지 등에 대한 내용을 먼저 살펴보고자 합니다. 이번 블로그

Advanced Analytics | Analytics | Artificial Intelligence | Learn SAS | Students & Educators
Jos van Dongen 0
SAS Energy Game: Serious gaming maakt leren leuk

Inzicht krijgen in de kracht van analytics én leren omgaan met analytische software. En dat terwijl je gewoon een spel speelt. Dat is de SAS Energy Game. Inmiddels hebben al honderden studenten het spel gespeeld en daarmee hun analytische vaardigheden versterkt. Meer mensen kennis laten maken met analytics Data is

Advanced Analytics | Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Falko Schulz 0
Analyzing demographics and patterns-of-life using SAS Visual Analytics

The IEEE Visual Analytics Science and Technology (VAST) Challenge provides a great opportunity to validate our software against real-world scenarios using complex data sets. Not only do we learn from these projects, but we also send feedback to our development teams to further improve product capabilities for customers.

Learn SAS | Students & Educators
Matt Scicchitano 0
Access for success: SAS Certification practice exams now offered for free

Here at SAS, we understand the importance of having access to cutting-edge professional resources. That’s why, for more than 40 years, we’ve provided individuals in programming, data management and analytics fields with low-cost and no-cost materials that promote success in their educational and professional journeys. And today, as the demand

Data Visualization
Diana Maris 0
Successful citizen data scientists need to know these three trends

Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. Whether your favorite visualization is a pie chart, a geographic map or relies on natural language, showing the insights that empower you to make more informed decisions is a better way to do data-driven business. Analyst firms say that SAS has market-leading data visualization. This helps users across the globe find insights in their data using new and exciting trends in data visualization.

Analytics | Data Visualization
Joon-Hyung Koh 0
AI 기반의 쉽고 간단한 Clinical Data 탐색 및 시각화 #2편

지난 블로그 포스팅 #1편에서는 임상시험 전 과정에 참여한 내.외부 모든 이해관계자가 임상시험 데이터에 쉽게 접근하여 진행 상황을 파악할 수 있도록 지원하는 SAS Visual Analytics 솔루션의 기능을 소개해 드렸습니다. 이번 포스팅에서는 이러한 AI기반의 SAS Visual Analytics 분석 솔루션을 활용하여 임상시험 SDTM 데이터의 탐색 및 시각화 리포트의 활용에 대해 알아보겠습니다. Clinical Data

Analytics | Artificial Intelligence | Data Visualization
Joon-Hyung Koh 0
AI 기반의 쉽고 간단한 Clinical Data 탐색 및 시각화 #1편

임상시험을 비롯한 모든 업무에서 분석은 필수이며, 점점 고급분석을 필요로하고 있습니다. 이번 블로그 포스팅은 2편으로 나누어 1편에서는 임상시험 전 과정에 참여한 내.외부 모든 이해관계자가 임상시험 데이터에 쉽게 접근하여 진행 상황을 파악할 수 있도록 지원하는 SAS Visual Analytics 솔루션의 기능을 소개합니다. 이어 2편에서는 임상시험의 SDTM 데이터를 활용하여 SAS Visual Analytics 솔루션에 어떻게

Learn SAS | Students & Educators
【冬休みに勉強しよう】アナリティクスの学習(1) Skill Builder for Students

学生の皆さんは今日から冬休みでしょうか。「卒論でそれどころじゃないよ!」という方もいるかもしれませんが、この期間に「何か新しい勉強を始めてみようかな」と思われる方も多いのではないでしょうか。 データサイエンティストが「21世紀で最もセクシーな仕事」と言われてから10年近くが経とうとしています。しかし、社会におけるデータの活用はまだまだ発展途上であり、そのための人材は依然として高い需要があります。「データサイエンティスト」はそのなかでも、多くの高度な知識と技能を持った人材ですが、デジタル・トランスフォーメーション(DX)と呼ばれる業務改革が進む中、高度人材だけでなく、より広範囲の人たちがデータを活用した仕事に従事することが求められています。数理科学とテクノロジーを駆使するデータサイエンティストでなくても、アナリティクスに関わり、自分なりの知識とスキルを発揮することができます。 SAS Skill Builder for Students は、SASソフトウェアと統計解析・機械学習を中心に、「データリテラシー」や「ビジュアライゼーション」といったより基礎的なの知識やスキルを無料で学習できます。また、認定資格取得の案内や、アナリティクスを活用したキャリアについての情報も提供しており、アナリティクスの初学者からデータサイエンティストのキャリアを構築しようとする学生まで、多くの方に活用いただけます。この機会にぜひ登録してください。 登録方法は次の4ステップ SAS Skill Builder for Students にアクセス SASプロファイルをお持ちでない学生は「SAS プロファイルを新規に登録」から登録 ※ 登録するメールアドレスは大学ドメイン(.ac.jpなど)のものを入力してください。 登録したSASプロファイルのメールアドレスを SAS Skill Builder for Students のログイン画面で入力 My Trainingの画面でLicense Agreementを読み、同意のチェックボックスにチェックを入れて「Submit」 登録・ログインに成功するとこちらのようなホーム画面が表示されます。 「Learn SAS」「Get SAS Certified」「Career Resources」のタブがあり、それぞれe-Learningによる学習、認定資格の案内、キャリア構築のためのリソースが提供されています。 ここでは「ビジュアライゼーション」のe-Learningをご紹介します。SAS Visual AnalyticsというGUI操作による可視化ツールを利用して、データから示唆を得る方法を学習するトレーニングです。数学やプログラミングが苦手な方でも学習できます。 「Learn SAS」タブ→「Start Learning」→「Visual Analytics and Visual Statistics」→「SAS Visual Analytics 1 for SAS

Data Visualization
Nancy Rausch 0
Is it really better to give than to receive? Data science says yes

Active gratitude is the feeling you get when a stranger does something nice for you without expecting anything in return. While both are beneficial for our health, there is a statistically significant, positive correlation between active gratitude and pro-sociality (r = 0.374), that is not present with passive gratitude. In other words, random acts of kindness trigger other random acts of kindness to other people, which is both good for us and good for society.

Advanced Analytics | Data Visualization | Machine Learning
Falko Schulz 0
Analyzing movement and tracking data using SAS Visual Analytics

Technological advancements in connectivity and global positioning systems (GPS) have led to increased data tracking and related business use cases to analyze such movements. Whether analyzing a vehicle, an animal or a population's movements - each use case requires analyzing underlying spatial information. Global challenges such as virus outbreaks, deforestation

Joon-Hyung Koh 0
누구나 손쉽게 사용 가능한 AI 기반의 시각화 분석

시각화 분석을 위해서는 빅데이터를 활용할 수 있어야 하며, 시각화 및 고급 분석, 셀프 서비스, 리포팅 기능을 갖춰야 합니다. 아울러 데이터 핸들링, 분석, 리포트 생성에 이르는 전 과정에서 인사이트를 확보하고자 하는 모든 이들이 자유롭게 사용할 수 있어야 합니다. SAS AI 기반의 시각화 솔루션은 완전 초보자도 자동 추천과 자동 예측 기능을 사용하여

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