This is Jiaqi Zhu's protfolio. I am interested in analyzing and visualizing data with descrptive statistics as well as statistical modeling with different tools(R, RShiny, QGIS and so on). Below are three samples of my visualization works.
This project tries to find whether the network structure of intergovernmental organization is largely changed in the turning points in the history. In addition, this project also investigated what kinds of variables (political military or macro-economic) could predict the number of intergovernmental organizations a country joins in. The interactive visualization is done by RShiny.
This project utilized GIS spatial analysis method and tools such as QGIS, R to investigate the relationship between price of Airbnb rentals and spatial distribution attributes (rental locations, subway station density and etc.)of 5 boroughs in New York. In addition, I visualized the heatmap of Airbnb prices and correlations between difference predictors.
This project utilized cross-sectional data from American Community Survey and National Longitudinal Survey of Youth with geographic information to examine the relationship between commuting time to work and depression. I applied Spatial lag regression to analyze the merged data with QGIS and R, and concluded that longer commuting time to work is associated with longer days of feeling depressive.