Difference between revisions of "Smart Mall"
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<font size = 5; color="#FFFFFF"><span style="font-family:Century Gothic;">ISSS608 Visual Analytics and Applications Project</span></font> | <font size = 5; color="#FFFFFF"><span style="font-family:Century Gothic;">ISSS608 Visual Analytics and Applications Project</span></font> | ||
<p><font size = 4; color="#FFFFFF"><span style="font-family:Century Gothic;">Team S-MALL</span></font></p> | <p><font size = 4; color="#FFFFFF"><span style="font-family:Century Gothic;">Team S-MALL</span></font></p> | ||
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=='''1. Abstract'''== | =='''1. Abstract'''== | ||
Brick and Mortar retail malls are facing stiff challenge from online e-commerce shopping and mobile smartphone penetration. How can physical malls continue to survive under such conditions? How can shopping malls transform as part of the Smart Nation in Singapore? This project aims to explore the customers movement in the shopping mall using real data of a mega-mall using visual techniques for exploratory analysis to uncover patterns that may present opportunities for the mall as well as tenants to better optimise their operations, maximize sales as well improve the customers' experience. | Brick and Mortar retail malls are facing stiff challenge from online e-commerce shopping and mobile smartphone penetration. How can physical malls continue to survive under such conditions? How can shopping malls transform as part of the Smart Nation in Singapore? This project aims to explore the customers movement in the shopping mall using real data of a mega-mall using visual techniques for exploratory analysis to uncover patterns that may present opportunities for the mall as well as tenants to better optimise their operations, maximize sales as well improve the customers' experience. | ||
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=='''5. Visualization Tool & Packages'''== | =='''5. Visualization Tool & Packages'''== | ||
• R: Hexagonal binning using ggplot2 and Kernel Decimal Estimate using stat_Density2d | • R: Hexagonal binning using ggplot2 and Kernel Decimal Estimate using stat_Density2d | ||
| + | • R: Chord diagram using circlize | ||
• R: Shinyapp, shinydashboard, flexdashboard. | • R: Shinyapp, shinydashboard, flexdashboard. | ||
Revision as of 10:06, 17 June 2017
ISSS608 Visual Analytics and Applications Project
Team S-MALL
1. Abstract
Brick and Mortar retail malls are facing stiff challenge from online e-commerce shopping and mobile smartphone penetration. How can physical malls continue to survive under such conditions? How can shopping malls transform as part of the Smart Nation in Singapore? This project aims to explore the customers movement in the shopping mall using real data of a mega-mall using visual techniques for exploratory analysis to uncover patterns that may present opportunities for the mall as well as tenants to better optimise their operations, maximize sales as well improve the customers' experience.
5. Visualization Tool & Packages
• R: Hexagonal binning using ggplot2 and Kernel Decimal Estimate using stat_Density2d • R: Chord diagram using circlize • R: Shinyapp, shinydashboard, flexdashboard.
