11/24/2023 0 Comments Sas tutorial![]() Graphing in SAS can seem intimidating to the new programmer since it occupies a whole wing of the house of SAS. Using those choices, there are tens of thousands of ways in which one can change the look of the graph with options, symbols, and other means. Apart from the various versions of charts as well as graphs varying from a simple plot of data on an XY axis, the user of SAS entitles data in horizontal & vertical bars, pie charts, stars, and many additional graphical tools. The size of the sheer along with the SAS/GRAPH complexity speaks to its power. A graph represents data in an entirely different way, and with the help of SAS/GRAPH, one can perform this in a dazzling array of color and also make use of the 2 dimensional (2-D) and 3 dimensional (3-D) shapes, which are distinctly different compared to the tables consisting of rows and columns of text and numbers. Being vast and voluminous, it is a very powerful tool used in the creation of a wide range of business and scientific graphs. This is useful in making the process of data visualization easy. With the help of SAS/Graph, one will be able to represent data in the form of graphs. ![]() Reports are now delivered to mobile devices.Helps in Integrating data across environments.It's is considered as the foundation for all SAS software.Īpart from the easy-to-learn and flexible programming language, one acquires a programming interface that is web-based programs that are ready-to-use for information storage and retrieval, data manipulation, reporting, and descriptive statistics a repository which is centralized metadata along with a macro facility that supports in minimizing the time of programming and problems in maintenance. It is a very flexible, extensible, fourth-generation programming language, and web-based interface for data access, transformation, and reporting. It provides a data management facility and one can perform data analysis using Base SAS. Some of the SAS components are:īase SAS is the most widely used component of SAS. The software suite SAS comprises components that can be useful to manage and maintain by the operating system. A graphical point-and-click user interface is provided keeping in mind the non-technical users and more advanced options can be accessed through the SAS language. It is an application suite that will mine, manage, alter, and retrieve data that has been gathered from a wide range of sources, and statistical analysis will then be implemented on it. SAS can be considered as an integrated system of software solutions. This moves into the territory of suggesting a plan of action if the likelihood of a hot summer after averaging these five weather models is above 58%, then we should be adding a post afternoon shift to the brewery and rent an additional tank in order to increase the output. It includes the analysis of what is likely going to happen in the near term where the sales affected last time we had a hot summer? Or How many weather models are predicting a hot summer this year? It includes more diverse data inputs and involves a bit of hypothesizing were the beer sales affected by the weather? Or was there an impact on sales by the latest marketing campaign? Predictive analytics It is more focused on why something has happened. It gives an idea of what has happened over a given period of time was there an increase in the number of views? Or are sales of this month stronger than last? Related Article: Data Science vs Big Data vs Data Analytics All of this helps in thorough decision-making.ĭata analytics can be categorized into four basic types. Global enterprises collect and analyze data that has been obtained from various customers, business processes, market economics, or practical experience. Data analytics is primarily used in business-to-consumer (B2C) applications. Related Article: Introduction to Data Analyticsĭata Analysis techniques vary according to business requirements. Data is first extracted and then it is categorized so that behavioral data and patterns can be identified and then analyzed. The techniques in Data analytics will help the enterprises to disclose updates in metrics and trends else it will be an effect on the mass of information. It uses qualitative and quantitative techniques and processes with the aim of ensuring an enhancement in productivity and business gain. ![]() The Science of drawing insights which is through raw information sources is known as Data Analytics. A brief on SAS & Data Analytics can be explained in this article: In this SAS Tutorial, you will learn the below topics. It helps in building up an excellent knowledge in data analytics platform and, it can also be used for report writings. SAS is one of the most used software tools in the data analytics industry. ![]()
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