A Critical Evaluation of the Big Data Approach to Drug Misuse Data Analytics | Report

Running head: Security in Computing and IT
A Critical Evaluation of the Big Data Approach to Drug Misuse
Data Analytics
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SECURITY IN COMPUTING AND IT
1
Introduction
While analyzing the DRUG MISUSE data set there are certain techniques /approaches
are used in order to get the insights from the large amount of data stored in the provided excel
file using the tableau. This tool is very efficient in visualization of the trends inside the dataset
as well as predictive analytics. In addition to that, the Tableau also provides easy to use GUI
platform that suits the needs of the beginner as well as professional data analysts o get started
with the analysis on the selected dataset.
Used approaches in the DRUG MISUSE dataset
While analyzing the provided data the descriptive data analysis approach is selected. In
descriptive analytics process the it is intended to provide view or summary of the data depending
upon the facts and figures generated from the dataset and in some specific understandable
format. In addition to that the tool can be used in order to prepare data for further analysis. In the
analysis the primary techniques used were data aggregation as well as data mining in order to
report trends from the past recorded data. In this way the analyzed data can be easily presented in
a easily understandable format that can be beneficial to a wide business audience.
Advantages and disadvantages of the approaches
In case of descriptive analytics, it can be stated that it rarely intends to
investigate/analyze or try to establish the cause effect relationships among the different
attributes. In this approach of analytics mainly the surface analysis over the data set is done. In
this way validity of the results of the analysis can be easily implemented. Some common
methods employed in Descriptive Analytics are observations as recorded for the creation of this
dataset, surveys and so on. Therefore, collection as well as interpretation of enormous amount of
data involved in this type of analytics can help in exploring the hidden trends or insights.
The descriptive Analysis is important in providing knowledge base that can be used as
the foundation for further quantitative analysis on any selected data set. As the descriptive
analysis maps the landscape for the analysis of specific phenomenon or trends. It is also believed
that the when the results of the descriptive analysis if properly interpreted then it can help in the