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To fully use the software, we had to upgrade hardware, add storage, and increase cloud capacity, which isn’t feasible for smaller teams with limited budgets.What I dislike about SAS Viya:“Due to its extensive features and capabilities, there can be a learning curve, especially for beginners. Once users are familiar with the platform, they often find its vast functionality worth the initial investment in time and training.”- SAS Viya Review, Verified User in Government AdministrationLooking to use artificial intelligence for data analytics? Learn how AI data analytics can transform your workflow. 3. JMPJMP offers an extensive suite of statistical tools covering a wide range of analytical needs, from basic descriptive statistics to complex predictive modeling. I liked its ability to create interactive graphs, charts, and dashboards. This visualization capability helped us instantly adjust variables and see their impact on the graphs. 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I’m helping to put together three separate classes, Basic data management and analysis with R [SAS / SPSS]. As part of these classes, I need to discuss the history of these programs, because understanding that history will help you better understand the strengths and weaknesses of each statistical package. Here’s a brief history of SAS.SAS, an acronym for Statistical Analysis System, was developed by in the 1960′s by Anthony Barr, James Goodnight, Jane Helwig, and John Sall at North Carolina State University. The original program development was funded by a grant from the National Institutes of Health. In 1976, a privately held software company, SAS Institute was formed to further develop the SAS program. Today, SAS Institute is the largest privately held software corporation. It employs over 13,000 people across six continents and has revenues of 3 billion U.S. dollars. SAS spends a huge fraction of its revenues (25% in 2013) on research and development. SAS Institute is noted for having a family friendly workplace and is frequently cited as one of the best places to work.SAS was originally available only on IBM mainframe computers. In 1985, the millions of lines of SAS code (mostly Pl/1, FORTRAN, and IBM Assembler) were translated into C so that SAS could be ported to other computers, but especially to personal computers running Microsoft Windows.SAS Institute also sells several other products. JMP, an acronym for John’s Macintosh Product, was developed by John Sall in 1989 for the Macintosh platform, and was eventually ported to the Windows operating system as well. JMP is noted for its extensive use of dynamic graphics. SAS also sells several products for data mining and analysis of genetic data.SAS uses a programming language oriented around the DATA step and various procedures (PROCs) for data analysis. A menu driven version (SAS Enterprise Manager) is also available.SAS has a licensing model where you pay a set fee every year for the ability to use SAS software. It is priced aggressively for large organizations to encourage its use by many employees, but for individual independent consultants, the price of SAS is often prohibitive. SAS also offers a free product on the cloud, SAS OnDemand for Academics. This product is restricted to teaching uses in an academic environment.SAS has an extensive set of users manuals which are freely available on the Internet, and many lavishly supported SAS User Groups and SAS conferences. SAS also has a publishing arm, SAS Books, with hundreds of high quality books available. SAS also has a certification program, described at aren’t that many good resources on the history of the SAS programming language. Here are a few.Anonymous. SAS corporate timeline. WRAL television, posted March 3, 2011. Available at: SAS (software). Wikipedia, the free encyclopedia. 2014. Available at: Institute. About SAS. Available at:. SAS JMP Statistical Discovery V11.0 (x86x64).rar Download free software JMP Statistical Discovery V7.0.1 Crack . SAS. SAS JMP Statistical Discovery v10.0 SAS JMP Statistical Discovery v10.0 Download: Jmp 10 Full . Sas Jmp 8 Keygen Photoshop Average ratng: 5,0/5 5591 reviews Jmp 13 crack Download SAS JMP Statistical Discovery v10 SAS JMP Statistical Discovery V11.0 (x86x64).rar Download free software JMP Statistical Discovery V7.0.1 Crack . SAS. SAS JMP Statistical Discovery v10.0 SAS JMP Statistical Discovery v10.0 Download: Jmp 10 Full . Sas Jmp 8 Keygen Photoshop Average ratng: 5,0/5 5591 reviews Jmp 13 crack Download SAS JMP Statistical Discovery v10

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JMP® Data analysis software for interactive innovation Data is better explored visually JMP is the data analysis tool of choice that scientists and engineers rely on for powerful analytic capabilities and dynamic statistical discovery. Try JMP free Buy JMP now Explore data fully with powerful statistics From easily accessing your data from various sources, to using quick, reliable data preparation tools and performing choice statistical analyses, JMP lets you get the most out of your data in any situation. Discover meaningful findings by digging deeper With its linked analyses and graphics, JMP is the ideal data analysis tool for understanding complex relationships, digging deeper, and discovering the unexpected. Move effortlessly from discovery to sharing with the data visualization capabilities in JMP. Tell the story of your findings with interactive dashboards and web visualizations. If you are spending more than five minutes per month using Excel for data visualization, you are wasting your time by not using JMP. NVIDIAPete Cannon, Product Quality Engineering & Quality Management Systems Senior Director Recognized as a leader in statistical analysis software Core capabilities of JMP Data acquisition Explore data easily in many forms – import Excel files, read text files, and pull data from ODBC-compliant databases. Data cleanup Screen data for outliers, entry errors, missing values, and other inconsistencies that can compromise your analysis. Data visualization Explore and graph data dynamically, developing visualizations that tell the story of your data. Basic data analysis Use histograms, regression, distribution fitting, and other analysis tools to launch data exploration. Text exploration Extract words and phrases or visualize and organize words to uncover latent information in your text. Group, filter, and subset data Quickly arrange data to identify emerging patterns and focus on key findings. Design of experiments Design your experiment based on the problem at hand, accounting for budget, timing, and other constraints. Statistical modeling Understand trends and patterns using statistical models to learn more about your business, competition, and customers. What-if analysis Demonstrate patterns of predicted response and the effect of each factor on the response with scenario analysis. Reliability analysis Gain insight into product performance, pinpoint defects in materials or processes, and address design vulnerabilities. Quality and process engineering Use JMP to enhance quality – minimize customer complaints and deliver products and services that exceed expectations. Consumer and market research Understand and adapt to evolving markets using data mining, survey analysis, choice experiments, and other tools. Sharing results Share your dynamic visualizations in a variety of formats, whether your audience has JMP or not. Automation and scripting Use scripting to automate processes, regenerate analysis reports, and add new JMP capabilities. Making JMP your own Customize every aspect of JMP settings to work the same way as A software suite developed by SAS Institute for advanced analytics, business intelligence, predictive analytics, and data management; SAS (Statistical Analysis System) is the largest market share holder for advanced analytics.It was developed at North Carolina State University from the mid 1960s to the mid 1970s when SAS Institute was still incorporated. Further developed in the 1980s and 1990s with additions such as new statistical procedures, additional components, and the introduction of JMP; SAS continues to hold the largest share in advanced analytics at 36.2 percent of the market back in 2012, while having the fifth largest market share of BI software with a share of 6.9 percent.A software suite that can mine, manage, alter, and retrieve data from many sources with the ability to perform statistical analysis on it, SAS provides a graphical point and click user interface for users that are not very technical while also providing more advanced options through the SAS programming language. These programs have a DATA step which retrieves and manipulates data and usually creating a SAS data set and a PROC step to analyze the data. The PROC step consists of PROC statements that call upon name procedures to perform analysis. SAS data has the ability to be published in Excel, PDF format, and in HTML, as well as other formats using the Output Delivery System which was introduced back in 2007. The entire SAS suite has well over 200 components.This is the university edition of SAS that is available for download. This edition was created specifically for the needs of universities, for course material and other necessary reasons that may be used for educational purposes.

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Jump start your JMP® skills You’ve invested in the most comprehensive, interactive, and visual statistical discovery package out there. It’s time to tap into its full potential. Take an on-demand course We offer some free, online on-demand courses: Getting Started: On-Demand, the place to start if you are new to JMP. Statistical Thinking for Industrial Problem Solving (STIPS)*, a special collection of topics designed for anyone interested in building practical skills when using data to solve problems better. Statistical Decisions Using ANOVA and Regression, a deeper look into ANOVA and regression, building off of the content in STIPS. Custom Design of Experiments, a modern take on DOE, which builds off of the content in STIPS.. Introduction to the JMP Scripting Language, a foray into using the JMP Scripting Language (JSL). JMP Statistical Process Control, a deeper look into SPC, which builds off of the content in STIPS. Classic Design of Experiments, a course designed for professors and university students who are covering DOE from a classical perspective. Stability Analysis, a course covering stability analysis across product phases. *For this special set of introductory modules, you do not need to have a JMP license. You will be able to access JMP Pro through a web browser JMP application. For all other on-demand courses, you will need to have access to JMP software in order to participate. Get help from a JMP Partner JMP Partners can: Provide training – either on site or online – for your organization. Adapt and customize our materials to fit your needs and scenarios. Guide you through a tricky analysis. Coach you as you apply the methods you learned in class. See the list of JMP Partners and reach out to them directly for training, consulting, and mentoring help.

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You can use the CData ODBC Driver to integrate Salesforce Data Cloud data into the statistical analysis tools available in SAS JMP. This article shows how to use Salesforce Data Cloud data in the Graph Builder and Query Builder. You can use the CData ODBC Driver for Salesforce Data Cloud to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Salesforce Data Cloud API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports. This article shows how to access Salesforce Data Cloud data into a report and create data visualization. It also shows how to use SQL to query Salesforce Data Cloud data from the JMP Query Builder. Access Salesforce Data Cloud Data as an ODBC Data SourceIf you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. Salesforce Data Cloud supports authentication via the OAuth standard.OAuthSet AuthScheme to OAuth.Desktop ApplicationsCData provides an embedded OAuth application that simplifies authentication at the desktop.You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.Before you connect, set these properties: InitiateOAuth: GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken. OAuthClientId (custom applications only): The Client ID assigned when you registered your custom OAuth application. OAuthClientSecret (custom applications only): The Client Secret assigned when you registered your custom OAuth application. When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.The driver then completes the OAuth process as follows:Extracts the access token from the callback URL.Obtains a new access token when the old one expires.Saves OAuth values in OAuthSettingsLocation so that they persist across connections. For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing. SAS JMP Statistical Discovery V11.0 (x86x64).rar Download free software JMP Statistical Discovery V7.0.1 Crack . SAS. SAS JMP Statistical Discovery v10.0 SAS JMP Statistical Discovery v10.0 Download: Jmp 10 Full . Sas Jmp 8 Keygen Photoshop Average ratng: 5,0/5 5591 reviews Jmp 13 crack Download SAS JMP Statistical Discovery v10

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Based on the number of positive cases found by each diagnostic test against the total number of samples evaluated. The data and analysis were processed through Microsoft Excel and JMP 12 (JMP® v12, SAS Institute Inc., Cary, NC, USA) and converted to numerical values (1 = positive and 0 = negative) for statistical analysis. Excel and JMP analyses were performed blindly and then compared for accuracy. 3. Results 3.1. Overall FGS PrevalenceFor Ghana in 2013, the prevalence of FGS was 79.5% (31 out of 39 females were positive). For Zambia in 2016 and 2017, the figures were 57.5% (46 out of 80 females were positive) and 75% (45 out of 60 females were positive), whereas, in Tanzania in 2018, the prevalence was 61.4% (43 out of 70 females were positive, Table 1).Out of the total samples, all the duplicates and missing samples were discarded. Positive samples are based on PCR testing. 3.2. FGS Prevalence Based on Parasite DNA ConcentrationData for each year were categorized as follows based on the concentration of extracted DNA collected from filtered urine samples of PCR-positive individuals to assess FGS prevalence: high DNA load (>10 ng/μL), medium DNA load (4–10 ng/μL), and low DNA load (0.5–3 ng/μL). The highest positivity rate was found in the low DNA load over three years, as follows: in Zambia (2016), 42 (91.30%) females were positive; in Zambia (2017), 40 (88.89%) females were positive; and in Tanzania (2018), 41 (95.35%) females were positive. Based on a medium DNA load, the positivity rate ranged between 0 and 16 (0–51.61%). For a high DNA load, the positivity rate ranged between 2 and 6 (4.44–19.35%, Table 2). 3.3. FGS Geographical Distribution Based on Diagnostic TestingThe FGS prevalence based on PCR detection ranged from 57.5% (Zambia in 2016) upwards to 79.5% (Ghana in 2013) and others in between (Table 3). PCR consistently detected S. haematobium-specific DNA (4–15 times) in extracted DNA from urine samples collected from different endemic countries compared to traditional diagnostic tests, such as hematuria and urine filtration. 3.4. FGS Distribution Comparison Based on GenderS. haematobium (the causative agent of FGS) infections were comparatively higher among females than in males in Zambia (2016: 35% vs. 24.4%, and 2017: 41% vs. 33.6%) and Tanzania (2018: 41.4% vs. 23.1%) (Table 4). Similarly, females had higher S. mansoni infections over three years (Zambia 2016 and 2017, and Tanzania 2018) than males with S. mansoni infections. Co-occurrence