MFA Studio Practice, 2018
The first project was inspired by my life experience in Beijing. It is so crazy crowded in Beijing. Specifically, I took subways every day. The Beijing subway which has brought about the convenience of transportation has also brought many social problems. In Beijing, as the population grows, the subway system grows as well. Similarly, the prices of housing around the subway stations are also increasing. There is a connection among the population, subway systems, and housing prices. This sparked my interest in data analysis related to subways and housing price. Through the analysis of big data, I try to use visualization information to present them.
Growth I: This part represents the relationship between the increase of subway stations and the growth of human flow in rush hours.
Difference color represents the growth of subway stations in different years. The size of dots represents the growth of drop weight distribution in the subway station during the rush hour. (7;30-8:30)
Growth II: I analyze the growth of housing prices near the subway station.
In this case, I use color to represent the price, and different patterns of squares to represent different times.
Because subway stations are only increasing without decreasing, it is a linear growth trend. So, I used this rising line on the shape of this book.
In another book, Growth II, because house prices have fluctuating changes during different times, but the overall is growth, I use rising curves to present it.