Difference between revisions of "Group04 Proposal"

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| ggthemr || Apply themes to ggplot2 plots
 
| ggthemr || Apply themes to ggplot2 plots
 
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|-
| Example || Example
+
| lubridate || Easily transform dates
 
|-
 
|-
| Example || Example
+
| Plotly || Provide graphics
 
|-
 
|-
| Example || Example
+
| Threejs || Provide 3-dimensional visualization
 
|-
 
|-
| Example || Example
+
| ggraph || Provide graphics for clustering, regression
 
|-
 
|-
| Example || Example
+
| ggiraph || Provide interactive ggplot graphics
 
|-
 
|-
| Example || Example
+
| k Means Algorithms in R || Provide various k means algorithms in R
 
|-
 
|-
| Example || Example
+
| ISLR || Provide glm() for logistic regression
 
|}
 
|}
  
 
=References=
 
=References=
 
Image credit to: Christopher Dombres (under a Creative Commons license)
 
Image credit to: Christopher Dombres (under a Creative Commons license)

Revision as of 11:22, 21 November 2018

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R-CsI: An R-Consumer Insights Application to better understand Customers in Consumer & Retail Business

Proposal

Poster

Application

Report



Background

testing

Project Motivation

testing

Overview of Dataset

testing

Application Libraries & Packages

Package Name Descriptions
shiny & shiny dashboard Interactive web applications for data visualization
ggplot2 High-quality graphs
Tidyverse: tidyr, dplyr, ggplot2 Tidying and manipulating data for visualizing in ggplot2
shinythemes Apply themes to Shiny applications
ggthemr Apply themes to ggplot2 plots
lubridate Easily transform dates
Plotly Provide graphics
Threejs Provide 3-dimensional visualization
ggraph Provide graphics for clustering, regression
ggiraph Provide interactive ggplot graphics
k Means Algorithms in R Provide various k means algorithms in R
ISLR Provide glm() for logistic regression

References

Image credit to: Christopher Dombres (under a Creative Commons license)