Data Visualizations

Data Visualization

Covid19 Interactive Dashboard

Flights' Inflows and Outflows

US flights inflows and outflows in different cities.

Taxi Stations Filtering

In collaboration with Manoj Deshpande (DesComp 2020)
In this visualization, users can select multiple taxis to observe how a selected group of taxis are affecting the inflows/outflows of different community areas in the city of Chicago. An array of taxis is presented for this purpose and the inflows and outflows are visualized on a choropleth map of Chicago community area. By selecting the whole group of taxis user is able to observe how all the taxis together are affecting the inflows/outflows.

SIR model

The SIR models the flows of people between three states: susceptible (S), infected (I), and Recovered (R). Each of those variables represents the number of people in those groups. The parameters alpha and beta partially control how fast people move from being susceptible to infected (alpha), and from infected to resistant (beta).

The system dynamics model presented here includes different stocks and flows. There are three main stocks which has inflows and outflows. The model is generated by the use of SD library developed by professor Dimitris Papanikolaou.

The above visualization is an interactive dashboard developed using D3.js on the node.js framework. I designed and implemented this dashboard during my internship at the UNC School of Data Science. This work in a collaboration between researchers in public policy, data science, and geography.