63 skills found · Page 2 of 3
EricGebhart / SAS VimVim plugins, syntax and indention for Running SAS and editing SAS programs.
hoangsonww / Global COVID19 Analysis🌍 This repository hosts an in-depth analysis of COVID-19's impact across five key countries from Jan 2020 to Dec 2021. Through advanced data analysis and visualization, we aim to provide insights into how the pandemic evolved differently across these nations, shedding light on the effectiveness of various health measures and vaccination campaigns.
77QingLiu / SAS Program LibraryQing's SAS Program Library
caesarmario / Heart Disease Prediction With Logistic Regression SAS StudioHeart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
greg-wootton / Sas ProgramsPublic repository for programs to interact with SAS 9 and SAS Viya administratively.
ASHISH9438 / Little SAS Book Exercises And ProjectsSAS programs created based on exercises in The Little SAS Book
vincentpalacios / ACS PUMSHere one can find sample code to access American Community Survey (ACS) Public Use Microdata Samlpe (PUMS) and run simple analyses at the national and state level. The scripts are meant to be run in Stata or R, but the logic is transferable to other programs such as SAS, SPSS, and so on.
ocd-jacobs / FutsUnit testing for SAS programs
PrajwalSD / RunSASThis shell script tool allows you to run a SAS program or a batch of SAS programs via Bash environment with various interactive and non-interactive execution modes. This is ideal for a SAS environment which is restrictive by design and you need a batch execution script/tool especially when you have a batch of SAS Data Integration Studio (DI) jobs.
Jeremy-Smith5 / CEP PublicSAS / Python / Bash tools created by Clinical Epi Program - WRJ VA Medical Center
sassoftware / Sas SDK For Android ExamplesThis project contains code samples and materials to help you learn to use the SAS Library for Android application programming interface.
markrad / IoTSASTokenGenerateC and C++ programs that demonstrates how to generate a SAS Token from a device connection string in order to connect a device to an Azure IoT hub without using the Microsoft SDK.
akaidkhan / Data Science With RIntroduction to R R is a programming language, which is an object oriented language created by Statisticians, R provides objects, operators and functions that allow the user to explore, model and visualize data. R is a Programming language Developed at AT&T Bell Lab. It is an open source free language, allowing anyone to use and modify it. R is licensed under the GNU General Public License, with copyright held by The R Foundation For Statistical Computing. It has no need to pay any subscription charges R has a huge active community member. If you have any question about any function any library you can Google it and you would get a proper answer and right the way. As it is an open source language, you, me and lots of Data Scientist, they actually built in all those, inbuilt function and they upload it in a website called CRAN and then you can download all those packages. Over 7800 packages listed on CRAN, here we listed some of the most powerful and commonly used in R packages. R is a cross platform. R can run in different kind of operating system and different hardware. Generally, it is used on GNU/Linux, Macintosh, and Microsoft Windows and running on both 32 and 64-bit processor. R is mainly used for Statistical Analysis and Analytics Purpose, you might be thinking why to learn again another language if you already know many programming languages like JAVA or other programming languages, and think why do you need the language because R is mainly used for all those statistical Analysis and that’s why you should learn the language R. you would understand after doing this course it is actually easy to interpret. R is the leading tool for statistics and data analysis, machine learning as well as. The programming language is more than a statistical package, you can build your own objects, functions, and packages. It is easy to use, the coding style is quite easy. R enables you to interact with many data sources: ODBC -compliant databases (Excel, Access). R also can handle CSV files, SAS, and SPSS, XML and lots of other different files as well. Similarly, it can create a very good visualization. It can produce graphics output in PDF, JPG, PNG and SVG formats and table output for LATEX and HTML. It has a lot of inbuilt functions(packages & Libraries) and the results are also easy to interpret and that’s why lots of industries are using R, it is not about the big or small. Lots of companies like Microsoft, Google are using R actively. It has a big reason, it is free and you can do POC out there. So, be confident about the fact that you are going to learn R and it has huge popularity and your market value is always higher if you know R in Data Science
auserj / Advanced Programming For SASBig_Data, Database_Organization, Statistical_Analysis
sascommunities / Graphics ProgrammingExamples to create plots and charts with SAS programming, using ODS Graphics and SAS/GRAPH techniques.
PacktPublishing / The Simplest Guide To SAS Programming Base SAS Advanced SAS The Simplest Guide™ to SAS Programming | Base SAS | Advanced SAS, published by Packt
Apress / Sas Programming Data Visualization TechniquesSource code for 'SAS Programming and Data Visualization Techniques' by Philip R. Holland
qzlvyh / Sassoftware Sas Viya ProgrammingNo description available
sascommunities / Em Bridge2viyaSAS Enterprise Miner Bridge To Viya is a repository of examples and documentation showing how to run SAS Viya programs from a SAS Enterprise Miner flow.
blumjUNCW / SASDataBasic files for intro SAS programming
