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A study of natural usage and sentiment analysis of Electric Ireland and Bord Gais customers who have moved to smart meters

Grouse, Damien (2017) A study of natural usage and sentiment analysis of Electric Ireland and Bord Gais customers who have moved to smart meters. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

We've all heard the term, data and most people have an idea of what data is. Data is information and today it is generally electronically stored. Data can be simply formatted, such as information on an Excel sheet (integers and characters). Unfortunately, most people struggle to understand data, unless they see it in a visual representation.

Even the most experienced Data Scientist would struggle to understand a Big Dataset, on initial inspection. Stored electronic data is stored in a database, in Sql (tabular form) or non-Sql (non-tabular form) databases. Due to the use of computer languages such as R and software packages such as R Studio and Microsoft BI. We can query data and return results in a quick and reliable way. We can also get an easy visualization of the data via graphs, thanks to these technologies.

Data is acknowledged to only have real value, if the information leads you to an inference or it is structured and results/insights can be gained from it.

By applying Data Analytics procedures and practices, such as data mining, we can gain a more incisive understanding of data we are querying, to gain additional knowledge and understanding.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 26 Oct 2017 17:34
Last Modified: 26 Oct 2017 17:34
URI: http://trap.ncirl.ie/id/eprint/2660

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