From ISSS608-Visual Analytics and Applications
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| − | | + | [[Image:Property_Pic.jpg|1100px|frameless|center]] |
| − | == <center><b><big><big><big>SPIVA</big></big></big></b></center> ==
| + | [[Image:Property_Pic.jpg|1100px|frameless|center]] |
| − | <center><b><big><big><big>A Singapore Property Interactive Visual Analytics Dashboard</big></big></big></b></center>
| + | [[Image:Property_Pic.jpg|1100px|frameless|center]] |
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| + | [[Image:Property_Pic.jpg|1100px|frameless|center]] |
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| − | <blockquote>''Abstract – The [something about data source or collection of data] provides us with huge amount of data about prices of private properties in different parts of Singapore. However, these data do not tell us much at a transactional level. [Add on something about what is lacking to the users now]. To overcome this issue, we designed and developed SPIVA, Singapore Property Interactive Visual Analytics Dashboard, to democratise data and analytics by allowing property marketplace stakeholders to explore and analyse Singapore private property data to gain valuable insights about Singapore property market price trends and expectations. We showcase the potential of SPIVA through the use of various visually captivating plots like choropleth, ridge plots, box plots and geo-facets line graph.''
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| − | ''Keywords – Singapore Private Property Price Trends, Geo-facet Line Graph, Ridges Plot, Box Plots''
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| − | </blockquote> | |
Revision as of 16:11, 26 April 2020
