SAS Analysis Report: Data mining and analysis of student data

This report details the application of SAS software for data analysis, specifically focusing on a student data set. The analysis involves using various statistical methods, including data mining techniques, to extract insights from the data. The report covers the process from uploading the data set to generating results. The report also discusses the use of statistical tools like mean, median and standard deviation for better understanding of the data. The report also describes the importance of the SAS software and its use in various real-world applications. This report provides a comprehensive overview of the methods and steps to conduct data analysis using SAS, making it a valuable resource for understanding the principles and applications of statistical analysis.

DATA MINING EXAM USING SAS ENTERPRISE MINER

Table of Contents
1. Introduction..............................................................................................................................1
2. SAS Analysis............................................................................................................................1
References........................................................................................................................................6
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1. Introduction
This project is to provide the data mining analysis by using the SAS enterprise miner.
This tool is used to provide the effective statistical information for real time analysis. This
project is depnds upon the real time analysis. The SAS enterprise minor tool is used analysis the
data set by using the provided the data set. The SAS enterprise miner is leads to provide the
reliable data information from the provided data sets. The provided data set contians the student
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information like name, Gender, ID number and SAT score. These informationn are leads to
analysis by creating the SAS programming code and it needs to execute, then it provides the
output data for an real time analysis. The SAS analysis is most commonly used tool to determine
the mean, median, standard deviation and dispersion of the data set. It has the linear regression,
multiple linear regression, descriptive analysis and more techniques to provides the effective
information for the real time analysis. The Statistical analysis software tool is used to done the
following analysis in real time. They are,
 Bayensian Analysis
 REgresiion
 Finite mixture models
 Analysis of variance
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 Post processing
 Distribution analysis
 Cluster analysis
 Predictive modeling and more.
It is able to deal with amount of number crunching that we require the some data set to do
the analsyis. It is apply the latest statistical techniques to any size of the data sets. IT rely on the
validate algorithms and it easily simplify with a single environment. It takes teh advantage of our
technical support and web user communities. It easily enbaling the user to access and manage the
data. It deploy and buidl the statistical modesl and it readily undersand the data set results using
the hundreds of built in graphys. It Produce the code to meet the governmental and corporate
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compliance requiremnts and it has high advanced statisitcal analysis and it is an established the
reputaiton for delivering the reliable results.
2. SAS Analysis
In real time statistical analysis, SAS software provides the reliable results. To do SAS analysis
by upload the data set in SAS software. So, first open the SAS software and click the upload
button to button the files. Then choose the data set and click the upload button. It is shown
below.
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Once successfully upload the dataset and run the SAS code to click the run button. It is shown
below.
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After, code will be running. It is shown below.
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After, the dataset code will be executed then it provides the output data and it shown below.
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The output data contains the student information like gender, SAT score and ID number.
In real time SAS analysis, here we will analysis the student information based on the gender and
ID number. These are needs to analysis to provide the reliable student information for an
organization. This analysis is used to provide the effective real time analysis based on the SAS
analysis. It also determines the mean, median and standard deviation for an real time analysis.
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References
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