Inspiration
As college students most of us are looking into renting our first apartments, in areas some of us aren’t from. It’s often difficult to determine what you should expect an apartment to cost in an area without trying to find every apartment building there or talking with dozens of people. By consolidating information about housing in certain areas we can help people understand housing around their area and what to expect. Furthermore, our project helps make the data more interactive, and allows us to explore statistics and understand the implications of the disparities between communities in DC.
What it does
We created a site that took data from the CoStar database and used it to display different data visualizations based off zip codes.
How we built it
We were able to do our data visualization with chart.js and JavaScript and we built the front end of the site using HTML and CSS. We hosted our site on AWS.
Challenges we ran into
We ran into issues with using chart.js, integrating AWS and VSCode, and manipulating our database into a usable form.
Accomplishments that we're proud of
It was our first-time attempting data visualization and hosting our own website.
What we learned
We learned how to integrate chart.js onto a website as well as use AWS to host a website.
What's next for Zip Coders
If we have time to come back to this project, we would make more graphs and a 3D model. We would also try to integrate other databases involving schools and crime rates.
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