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z Exploring efficient visualization of big data using R shiny application Marlen Martinez-Lopez Advisor: Dr. Daehee Kim McNair Scholars Program
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Exploring efficient visualization of big data zusing R ...

Dec 18, 2021

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Page 1: Exploring efficient visualization of big data zusing R ...

z

Exploring efficient visualization of big data

using R shiny applicationMarlen Martinez-Lopez

Advisor: Dr. Daehee Kim

McNair Scholars Program

Page 2: Exploring efficient visualization of big data zusing R ...

zIntroduction/Background

§ What is big data?

§ Processing high volumes of complex data

§ What is Rstudio?

§ What is shiny?

Page 3: Exploring efficient visualization of big data zusing R ...

zMethods

§ Collecting data from past research papers involving e-commerce datasets

§ Possibly collecting data from other sources. (Amazon etc)

§ In the Architecture Layer Diagram, the highest layer is the R Shiny Application layer, where the end-user Web Application is located.

Page 4: Exploring efficient visualization of big data zusing R ...

zExpected Results & Conclusion§ The end result is then processed by R

Shiny, a powerful package that generates simple, but functional and efficient Web Applications with results displayed both as tables and various charts.

§ There are many necessary layers required for processing,

§ create an efficient web application with R shiny. Our research is aimed at optimizing layers to provide a more efficient performance with fewer runtime for e-commerce datasets.

Page 5: Exploring efficient visualization of big data zusing R ...

z

Q & A

§ Thank you for watching! J

§ Questions?

§ Marlen Martinez

Email: [email protected]

§ Advisor: Dr. Daehee Kim

Email: [email protected]