Haitham Eletrabi
Department of Civil Engineering, Samuel Ginn College of Engineering, Auburn University
Email: haa0003@auburn.edu
The visualizations below are made possible by dc.js , which is a cool javascript library with native cross filter support for exploration of multidimensional datasets. Other javascript libraries used here are d3.js , a highly popular javascript library which has revolutionized data visualization and crossfilter.js , which enabled fast multidimensional filtering for coordinated views. The data from Twitter Streaming API and Google Trends were used for these visualizations.
The first set of visualizations provided here is aimed at showing the popularity of tennis among the US population. We have provided two chloropeth maps which clearly show the popularity of tennis among the US population. The first map looks at the tweets distribution for the keyword "tennis" for US. The second map looks at the google trends results for the keyword "tennis" in the US.
The second set of visualizations provided here gives the sales and profits estimates from the new product.
Click on a state to see the count for that state.
Click on a state to see the regional interest for that state.
Hover over the bars to see respective year's sales
Hover over the bars to see respective year's profits