DBRRJ Analytics

"We'll CRUSH the competition

Inspiration

We were inspired by the impressive graphical representation displayed by Dark Horse's representatives and wanted to take a similar approach but in a smaller less detailed scale which would allow us to learn the foundations.

What it does

DBRRJ-Analytics (Named by the first letter of each contributor) introduces users to an easy-to-guide interface with information regarding what we believe to be key factors that show what party each riding in Alberta tends to lean towards.

How we built it

We split the work into 3 groups: Research: Ben W.

Ben gathered all the data necessary from the 87 ridings in Alberta for us to begin our data collection process.

Database (DB): Wonseok H. & Ryan K.

Ryan parsed all the data gathered by Ben into a .csv file using Python.
Wonseok used this parsed data to create and query the database as well as created a connection between the DB and the web domain.

Web Application/Graphical Representation: Reilly K. & Jacob P.

JACOB & REILLY

Challenges we ran into

Learning d3.js
Learning MongoDB
Learning how Flask operates
Working with a web domain and connecting the DB and Web

Accomplishments that we're proud of

Having successfully overcome all these obstacles in order to obtain the end result we envisioned.

What we learned

We learned how each (MongoDB & d3.js & Domain) individual component worked and more importantly how these components communicated and worked together to output the end result.