##Team Members

1. Adrian Sham [email protected]
2. Hoang-Lien Nguyen [email protected]

##Where are the people in Washington

##Running Instructions

Access our visualization at http://cse512-15s.github.io/a3-adrsham-nhlien93/ or download this repository and run python -m SimpleHTTPServer 9000 / python -m http.server 9000 (python 3+). Access our visualization at http://localhost:9000

##Story Board

Our Story Board can be downloaded here

###Changes between Storyboard and the Final Implementation

A quick overview of the changes between the storyboard and the final implementation is the inclusion of city population in the map, in the form of circles with a radius corresponding to the population. We also changed the color representation from the storyboard.

##Development Process

During the initial stages of the project, we worked together to figure out how we would write code for the visualization and did research on the various examples available. After that, we were able to split some of the work by functionality.

Adrian was the one that got the storyboard put together after we agreed on what we wanted verbally. Adrian also worked on getting the city mark and labels on the map, then modified it to display tooltips with city name instead. He had to combine and filter data so that the correct cities for Washington state could be displayed with the correct labels and in the right location. He also added the slider for the web page which allows the map the change to show the difference in population over different years.

Lindsey modified Simple Map D3 so that the color of the counties were based on an interpolation of a log scale and worked on the legend so that it would have the correct color mapping. She also added code so that the tooltips appeared next to the pointer, which provides a better user experience. She modified the marks on the city to become a circle with varying radius based on the population of the city.

Since our original data set for the location of cities did not have all the cities in Washington, Lindsey wrote two Python script that parsed the other cities and combined cities that belonged in two counties into one.

We estimate that we spent at least 60 man hours on this project. Since we were both new to this language, trying to express what we wanted to do in code was the most difficult part of the project. Also, we were using some libraries available online to create choropleth maps, however, since it did not have all the functionality we wanted, we had to go through the code and modify it ourselves.