지구는 여전히 많은 화산이 활동중인 ‘폭발적인 행성’입니다. 미국 워싱턴 D.C. 기반의 학술 협회 ‘스미소니언 인스티튜션(Smithsonian Institution)’은 전 세계의 화산 활동을 추적하고 데이터화하고 있는데요. 글로벌 화산 활동 프로그램(GVP; Global Volcanism Program) 데이터는 지난 10,000년 동안의 화산 및 분화 역사를 보관하고 있으며, GVP 데이터베이스는 1,500개가 넘는 화산의 명칭, 위치, 유형, 특징을 상세하게 기록하고 있습니다. 오늘은
In this post, I will explain how LASR Servers (both Distributed and Non-distributed) are started from the SAS Visual Analytics Administrator application. We will also look at one particular issue and I will provide you with more details to understand the situation and two strategies to address this issue. When
You may be wondering if you need something special to gain access to the Schedule Chart object. Don’t worry, you don’t, you just need to unhide this visualization if it isn’t already. You can do this from the Objects’ drop down menu. There are several other objects available to you
You can expand on the functionality of SAS Visual Data Builder in SAS Visual Analytics by editing the query code, adding code for pre- and post-processing, or even writing your own query. You can process single tables or join multiple tables, writing the output to a LASR library, a SAS library, or a
Earth is an explosive world! Data from the Smithsonian Institution's Global Volcanism Program (GVP) documents Earth's volcanoes and their eruptive history over the past 10,000 years. The GVP database includes the names, locations, types, and features of more than 1,500 volcanoes. Let's look closer into volcanic eruptions across the globe
Obecnie większość firm, operujących na danych, korzysta z mniej lub bardziej zaawansowanej analityki. Ten trend przestaje być przywilejem wielkich korporacji, a staje się standardem dla wszystkich, także małych i średnich firm. I tak jak potrzeba korzystania z analityki rozprzestrzenia się wśród firm, tak dzieje się to także wewnątrz organizacji, zwiększając
Several months ago, I posted a blog about calculating moving averages for a measure in the Visual Analytics Designer. Soon after that, I was asked about calculating not only the average, but also the standard deviation over a period of months, when the data might consist of one or more
As a practitioner of visual analytics, I read the featured blog of ‘Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Python, SAS’ last year with great interest. In the post, the blogger Tim Matteson asked the readers to guess which software was used to create his 18 graphs. My buddy,
In this post I wanted to shed some light on a visualization you may not be using enough: the Word Cloud. Word association exercises can often be a fun way to pass the time with friends, or it can trigger immediate action – just think of your email inbox and
If your SAS Visual Analytics report requirements include linking out to separate reports without the need to pass values, you may want to consider using images to enhance the appearance of your base report. Here are three style examples using images that you can use depending on your report design
Requirements that are the most easily described can often be the most difficult to implement. I’m referring to requests like: Display a gauge with the most recently collected metric. Plot a 18 month rolling window of profit. Display last month’s products percent of total metrics for visual comparison. Okay, so
Analysts often use a simple moving average to get an idea of the trends in data. This is simply an average of a subset of time periods, and the size of the subset can differ depending on the application. The technique can be used with data based on time periods,
For many people, building something from scratch, no matter how simple or complex, is fascinating. That’s why programs similar to How’s It Made are so appealing and, for me, addicting. And thus, the inspiration for this blog; I will walk you through building a set of graphs and how to
After posting a couple of blogs on the subject of dates and date formats in Visual Analytics Designer, I got a question from a user who wondered how to compare data for a selected date to data from the same day of the previous year. Here’s one way to do
Pick your category? If this title seems familiar, that’s because in my last blog, Use parameters to pick your metric in VA Reports, I covered how to use parameters to allow your users to pick which metric they want to view in their visualizations. This is a great technique that
In a previous blog, I discussed SAS date and time values, and how date and time formats can be used to your advantage in SAS Visual Analytics. That blog addressed some of the features provided for handling date information, like date formats, date hierarchies, and calculated data items based on time
No importa el tamaño de su organización, usted necesita una solución que le permita explorar todos los datos relevantes que se generan a diario de forma rápida y sencilla, descubriendo oportunidades ocultas e identificando relaciones clave. Todo con el objetivo de tomar las mejores decisiones de manera inmediata y precisa.
Look at the report below. Imagine being asked to allow your users to select which Measure, highlighted in yellow, they are looking at: Income, Expense or Profit. This is a frequent report requirement and I’m going to outline just one of the ways you can design your report to satisfy
In the past, configuring a new autoload library for SAS Visual Analytics was a manual process involving steps to create very specific folder structures and to copy and edit scripts and SAS programs. No more! Updates to the SAS Deployment Manager have added a new task that creates and configures new autoload libraries
In a couple of my previous blogs I discussed how to audit who made changes to data in a SAS environment. In the last couple of weeks I have been asked how to do the same thing for SAS Visual Analytics reports and explorations. The Visual Analytics administrator overview report
You may have noticed that when using date information in SAS Visual Analytics, that the date data values can be displayed in a variety of ways. You may see your dates displayed like Jan1916, 03Jun1915, or 03/12/16, for example. In this blog I’ll help you understand SAS date and time
In this post, I continue the journey of getting data profiling results into SAS Visual Analytics. In my first blog I described the process of collecting DataFlux Data Quality profiling metrics to load a datamart. Now we load this datamart into memory (LASR) and then plug a VA report on
This is my first blog post, and the first of a long series around Data Governance. The first thing I want to discuss is the ability to Share DataFlux Data Quality profiling metrics in SAS Visual Analytics. This post will illustrate how to extract profiling data from the DataFlux repository
In SAS Visual Analytics 7.3, the usage reports accessed from the administrator includes a relationship report. This report provides very basic lineage and dependency information for selected object types. The data to populate this report comes from the middle-tier relationship service. Once you enable the collection and extraction of this
In my last blog (What is going on with my Visual Analytics audit data collection) I reviewed how middle-tier auditing works and where to look for logs to debug issues. In this follow up blog I will do the same for the Visual Analytics audit data archiving process. The archive process is
In my last blog I discussed purging audit records from the Web Infrastructure Platform SharedServices database. The blog generated a fair bit of discussion around the SAS Visual Analytics auditing data gathering and archive process. So let’s take a step back and in this blog review how data collection for auditing works and
As of Visual Analytics 7.2, the home page is designed to serve as the entry point for not only Visual Analytics, but also additional SAS applications and solutions. To this end, the SAS Visual Analytics home page is documented in both the SAS Visual Analytics Administration Guide and the SAS Intelligence
New in the 7.3 release, SAS Visual Analytics now provides sample objects. During installation, the SAS Deployment Wizard prompts you to include sample reports by default. In addition to eight reports, an exploration and ten sample datasets are also included in the samples. These sample reports and datasets are available by industry
Are you eager to explore and understand your data? Do you want to improve processes and drive more revenue? Do you want to work with data using an intuitive, easy-to-use interface? This is now possible with visual analytics, technology which combines analytics with interactive visualizations. As published in a recent
The new 7.3 release of SAS Visual Analytics not only uses the new HTML5 home page as the entry point to the Visual Analytics environment, but also introduces the new HTML5 viewer. The HTML5 home page interface features a personalized welcome message, tiles for content organization (Recent, Links, Favorites), icons to access
