Difference between revisions of "Group04 Proposal"
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=Overview of Dataset= | =Overview of Dataset= | ||
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| + | (2) Dunnhumby dataset – The Complete Journey (https://www.dunnhumby.com/sourcefiles) | ||
| + | Dunnhumby is a data science company that specializes in Customer Data Analytics. The “Dunnhumby – A Complete Journey” dataset is a collection of transaction data at household level over two years from a group of 2,500 households who are frequent shoppers at a retail chain. The amount of details captured goes down to individual purchases, specific items, item category, demographics and includes direct campaign details including coupons and redemptions made based on the purchases made. | ||
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=Application Libraries & Packages= | =Application Libraries & Packages= | ||
Revision as of 11:27, 21 November 2018
R-CsI: An R-ConSumerInsights Business Application to better understand Customers
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Contents
Background
testing
Project Motivation
testing
Overview of Dataset
(1)
(2) Dunnhumby dataset – The Complete Journey (https://www.dunnhumby.com/sourcefiles) Dunnhumby is a data science company that specializes in Customer Data Analytics. The “Dunnhumby – A Complete Journey” dataset is a collection of transaction data at household level over two years from a group of 2,500 households who are frequent shoppers at a retail chain. The amount of details captured goes down to individual purchases, specific items, item category, demographics and includes direct campaign details including coupons and redemptions made based on the purchases made.
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)
