What are the implications for the future?, writing homework help

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Business Finance

Description

This is to write a short essay (5-8 pages or so) about the collection and analysis of big data in some subject area. Pick a topic - health, marketing, sports, college admissions, crime, travel, traffic accidents, climate, housing - or whatever.


Then address
a) What kind of data are people using?
b) Where do they get it?
c) What do they do with it?
d) What are the implications for the future?

Put this in the dropbox for Assignment 2.

This is a continuation of the earlier assignment. You can either use the same topic or a different one. Please look at some papers or articles about what is happening in the area you choose - is there a result that has been published? What are people saying will happen as a result?

One question is where data comes from. There are government files, there is information gathered from web browsers, there are surveys that are given out and analyzed, and there are sensors that pick up some data.

And the other end of the story is what difference it might make to us. Can we predict something we need to know - gain either economically or socially?

Suppose for example that you chose seismology. There is an international seismographic network with sensors gathering data around the world, there's a consortium of universities sharing the data, people are trying to understand this data, they map the earthquakes (see the "IRIS seismic monitor" and other such pages. The ideal goal is to predict earthquakes, but at least we might understand better the succession of smaller shocks before and after a big earthquake.

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Explanation & Answer

Attached.

Running Head: COLLECTION AND ANALYSIS OF BIG DATA IN CRIME

Collection and Analysis of Big Data in Crime
Name
Tutor
Course
Institution
Date

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COLLECTION AND ANALYSIS OF BIG DATA IN CRIME

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Introduction
The aspiration of the government to stop criminal activities in the United States
especially those that are related to organized crime requires data analysis. Unlike other
spontaneous crimes such as domestic violence, hate crime among other random offences some,
criminal activities such as murder, rape, robbery, assault, burglary and vehicle theft have proved
to have a recurrent nature and that is why data on these types of crimes need to be stored and
analyzed to prevent their recurrence in future Farrington and Tarling (1985). Data on these
recurrent types of data therefore help the police and other law enforcement agencies to study the
patterns of crimes to prevent their recurrence in future.
Types of data used
In the US the big data recorded and stored on crime comes in very many forms both
qualitative and quantitative. Qualitative type of criminal data is made up of collected evidence in
terms of video recordings, photographs, CCTV footages, sound recordings, witness statements.
These types of data usually contain evidence on criminal activities or suspected trail of those
activities. Quantifying such data is difficult; this nature is what gives it the name qualitative data.
Quantitative data types are also used in criminal databases. The newest crime database known as
the National Incident Based Reporting (NIBRS) has a better support mechanism for qualitative
type of data unlike its predecessor the UCR Driscoll et al. (2007). Data such as the number of
guns, weight of drugs recovered etc. are some of the quantifiable data collected in criminal
investigation activities. These type of data is recorded numerically in terms of how many, what
percentage etc. and are used to further the investigation efforts of the government in crime.

COLLECTION AND ANALYSIS OF BIG DATA IN CRIME

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Sources of Data
Sources of criminal big data is varied, in the US however there are two main ones
namely: National Incident based Reporting and Uniform Crime Reports abbreviated as NIBRS
and UCR respectively. UCR is the system that is mainly used by the FBI for recording criminal
data as well as making important decisions...


Anonymous
Just what I was looking for! Super helpful.

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