All about SAS Application
SAS stands for ‘’Statistical Analysis System’’. The SAS language is a computer programming language used for statistical analysis and is a crucial statistical software tool.
It is a program to perform some operations on given data, to reach an effective conclusion. SAS was developed by Anthony James Barr at North Carolina State University. It lets you read the data from common spreadsheets and databases and produce the results of statistical analysis in tables, graphs, and as RTF, HTML, and PDF documents. This language can be used on Microsoft Windows, Linux, and various other UNIX and mainframe computers.
SAS programming is contributing a major role in the statistical analysis and decision making. But here we will talk about some specific fields that use the SAS application. They are Multivariate Analysis- which detects and analyses various statistical variables of an outcome at the same time.
Business Intelligence- It stresses on strategies and technologies used by any enterprise for data analysis of business information.
Predictive Analytics- It uses already available data to predict the future. It uses various statistical techniques to draw inferences and lastly, Creating Safe Drugs & Clinical Research and Forecasting- SAS plays a vital role in the field of medicine. It is used in clinical decision-making support system.
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Introduction to Macroeconomics
Macroeconomics is a branch of economics and is very important for evaluating the overall performance of the economy in terms of national income. The main functions of macroeconomics are the collection, organizing, and analysis of data. The main aim of this field is to understand the reason for the fluctuations and to ensure the maximum level of employment and income in a country.
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There is a pool of reasons why we need to study macroeconomics.
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What is R Programming?
R is a programming language and free software environment for statistical computing and graphics, developed by Ross Ihaka and Robert Gentleman in 1993. The R language is widely used among data miners and statisticians for developing statistical software and data analysis.
It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the libraries are written in R, but for the heavy computational task, C codes are preferred. R is not only preferred by academics, but many large companies also use R programming language, including Facebook, Google Uber and so on.
Data analysis with R is done in a sequence of steps;
Program: R is a clear and accessible programming tool.
Transform: R is made up of a collection of libraries specially designed for data science.
Discover: This involves investigation of the data, refine your hypothesis and analyze them.
Model: R provides a wide range of tools to conquer the right model for your data.
Communicate: Integrate codes, graphs, and outputs to a report with R markdown or create shiny apps to share with the world.
R is used for Statistical inference, data analysis, and machine learning algorithms. It is used in the healthcare industry and academics.
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Detail analysis like clustering, correlation, and data reduction are done with R.
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What Is Economics?
Economics is a field that deals with the usage of limited resources by societies which is used to produce valuable goods and distribute them among a pool of people.
The study of individual decisions is referred to as Microeconomics and the study of the economy as a whole is called Macroeconomics. Microeconomics is limited to family’s medical debt, whereas Macroeconomics covers a large area of sovereign debt.
Several fields within economics significantly exist today. The students can make their own decisions to opt for the field of their choice, but they must know the background of their chosen field and how that field is likely to serve them. Energy Economics is one of the major fields, which includes topics related to supply and use of energy in societies. Energy economics does not portray itself as a self-contained academic discipline, but it is an applied sub discipline of economics.
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SAS also referred to as statistical analysis system is a program specifically designed for software applications and suite for mathematical statistic and advanced analytics. The software was designed by statistical students from University of North Carolina state. SAS performs similar functions as those of the counterpart software SPSS. With more developments in the need and usage of SAS software better versions of the same have been created with the latest being created the year 2009. Today, students all over the world receive SAS homework as the stipulated by the curriculum of many states. But as we all know, SAS projects and assignments are not easy to come over, students need super hand guide and manual professional assistance to handle the software and use it. Students have made claims in the past about the most difficult areas covered in the SAS program. Among them include; analysis of variance, regression, Data management, survival analysis, factor analysis among others.
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