Difference between revisions of "Group02 proposal"
		
		
		
		
		
		
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==Proposed R Packages==  | ==Proposed R Packages==  | ||
| + | |||
| + | {| class="wikitable"  | ||
| + | |-  | ||
| + | ! Package Name !! Description  | ||
| + | |-  | ||
| + | | 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  | ||
| + | |-  | ||
| + | | 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  | ||
| + | |}  | ||
==Project Milestones / Timeline==  | ==Project Milestones / Timeline==  | ||
Revision as of 12:38, 1 March 2020
Contents
- 1 Introduction
 - 2 Motivation and Objectives
 - 3 Literature Review
 - 4 Datasource / Data Description
 - 5 Visual Analytics Problem/Critique of Existing Visualisations
 - 6 Methodologies and Approach
 - 7 Sketch of Application Design
 - 8 Proposed R Packages
 - 9 Project Milestones / Timeline
 - 10 Team Members
 - 11 References
 
Introduction
Motivation and Objectives
Literature Review
Datasource / Data Description
Visual Analytics Problem/Critique of Existing Visualisations
Methodologies and Approach
Sketch of Application Design
Proposed R Packages
| Package Name | Description | 
|---|---|
| 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 | 
| 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 |